Index for Volumes 1–7

Note: Page numbers refer to the print version of the journal.

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

Accessibility
and employment, Vol. 4(2/3):49–66
and road construction, Vol. 5(1):26
business productivity, Vol. 1(3):69–76
concepts and applications, Vol. 4(2/3):15–30
definition of, Vol. 4(2/3):16
demarcation area, Vol. 4(2/3):37
European context, Vol. 4(2/3):38–40
improving, Vol. 4(2/3):49–66
indicators
    composite approach, Vol. 4(2/3):35–36
    constraints-based approach, Vol. 4(2/3):34–35
    gravity approach, Vol. 4(2/3):33–34
    opportunities approach, Vol. 4(2/3):33–34
    travel-cost approach, Vol. 4(2/3):33
    utility-based surplus approach, Vol. 4(2/3):35
modeling, Vol. 4(2/3):15–30, 31–47
    agglomeration effects, Vol. 4(2/3):37–38
    and labor markets, Vol. 4(2/3):54–57, 63–64
    measurement of attraction masses, Vol. 4(2/3):37
    measurement of spatial separation, Vol. 4(2/3):36–37
    path-based accessibility, Vol. 4(2/3):79–90
    unimodality v. multimodality, Vol. 4(2/3):37
neighborhood accessibility, Vol. 4(2/3):67–78
space-time prisms, Vol. 4(2/3):1–14

Accidents. See also Crashes, Safety
air transportation, Vol. 2(1):79, 85
costs, Vol. 4(1):87–90, 99–100
free incidents, travel time, Vol. 2(2):123–131
hazardous materials shipments by rail, Vol. 3(1):81–92
high-risk sites, Vol. 1(1):75–91
increased speed limits, Vol. 4(1):1–26
traffic, Vol. 7(2/3):13–26
trucks, Vol. 1(1):75–91

Advanced Traveler Information Systems, Vol. 7(2/3):53–70

AFV. See Alternative fuel vehicles

Age. See also Demographic factors
as a determinant of truck accidents, Vol. 3(1):69–73
commuting, Vol. 2(1):104
in relation to highway safety, Vol. 6(2/3):51–65

Agglomeration effects (accessibility modeling), Vol. 4(2/3): 37–38

Aggregation/disaggregation of data
business interruption impacts, Northridge earthquake, Vol. 1(2):29
freight demand and mode choice, Vol. 2(2):149–58
investment, macroeconomic analyses, Vol. 1(3):65–79
motor vehicle emissions, Vol. 3(2):25
motor vehicle license fees, Vol. 2(2):139
public transit demand in Europe, Vol. 1(1):3, 5, 13
travel demand, country comparisons, Vol. 3(3):1–31
truck trips, statewide, Vol. 3(1):53
urban passenger transport, Vol. 1(1):44
value of time data, Vol. 5(2/3):57–72

AIC. See Akaike's Information Criterion

Air pollution, Vol. 3(2):1–102
air quality assessment, Vol. 3(2):85–101
air quality planning, local roads, Vol. 6(1):59–69
air transportation, Vol. 2(1):79–80, 85–86
analysis of covariance model, Vol. 3(2):49–64
chase car data, Vol. 3(2):15–28
costs from highway transportation, Vol. 4(1):91–92, 100; Vol. 5(2/3):84
light trucks and passenger cars, Vol. 3(3):48
Mobile Emissions Assessment System for Urban and Regional Evaluation, Vol. 3(2):65–83
Mobile Source Emission Factor Model, Vol. 3(2):39–47, 65, 66, 67, 71, 72, 74–83; Vol. 6(1):17–32
mobile source emissions forecasting, Vol. 6(1):17–32
modal emissions models, Vol. 3(2):29–38, 67–71
motor vehicles, Vol. 1(1):20, 23, 27–28, 30, 33, 48
social costs of motor vehicle use, Vol. 1(1):20, 23, 27–28, 30, 33
trips, relationship to value of time data, Vol. 5(2/3):2–72
and unregistered motor vehicles, Vol. 7(2/3):1–12
urban areas, Vol. 3(2):15–28, 65–102

Air transportation statistics, Vol. 2(1):71–92
airline
    flight delay and cancellation analysis, Vol. 7(1):74–84
    low-cost carriers, Vol. 7(1):88–101
    regional carriers, Vol. 7(1):88–101
    traffic, Vol. 7(1):69–85
    networks, Vol. 7(1):87–101
Air Travel Price Index, Vol. 7(2/3):41–52
econometric forecasts, Vol. 7(1):7–21
infrastructure needs, Vol. 2(1):78–79, 84–85
international freight, Vol. 7(2/3):93–97
policy formation, Vol. 2(1):74–76, 81–82
productivity analysis, Vol. 2(1):77–78, 83–84
safety, Vol. 2(1):79, 85
use in cost analysis, Vol. 2(1):77–78, 83–84
use in demand forecasting, Vol. 2(1):76–77, 83–84
use in environmental analysis, Vol. 2(1):79–80, 85–86

Akaike's Information Criterion (AIC), Vol. 7(1):3

Alabama
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Alaska, truck flows, Vol. 1(1):67, 69, 72

Alternative and replacement fuels, Vol. 3(2):50–61

Alternative fuel vehicles (AFV)
emissions, Vol. 3(2):50, 57–61
urban transportation, Vol. 3(1):35

American Travel Survey, Vol. 5(2/3):84

Analysis of covariance (ANCOVA)
motor vehicle emissions, Vol. 3(2):49–64

Analysis of variance (ANOVA), Vol. 2(2):49–63
motor vehicle emissions, Vol. 3(2):24
roadway inventory data collection, Vol. 3(3):36–42

Atlanta, Georgia, parking, Vol. 2(1):93–107

ARIMA. See Box-Jenkins ARIMA time series

Arizona
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Arkansas
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Austin, Texas, neighborhood accessibility assessment, Vol. 4(2/3):70–71, 76–77

Australia
crash statistics, Vol. 2(2):159–166
freight travel time, Vol. 3(3):83–89
impacts of bypasses on communities, Vol. 5(1):58
modeling transportation in urban areas, Vol. 3(1):31–52
public transit fare elasticity, Vol. 1(1):43–57
travel demand, Vol. 3(3):1–31

Austria
crash statistics, Vol. 2(2):159–166
travel demand, Vol. 3(3):3–5, 13

Automatic vehicle classification, Vol. 1(3):89–93

Automatic vehicle identification, Vol. 7(2/3):53–70

Aviation. See Air transportation

B

Bayesian
approach, Vol. 4(1):27–38; Vol. 5(1):6, 13–14, 24, 77, 82; Vol. 6(1):33–57
generalized cross validation, Vol. 7(2/3):56–70
natural cubic splines, Vol. 7(2/3):54–70
network model, Vol. 7(2/3):13–26
smoothing splines, Vol. 7(2/3):53–70

Bayesian Information Criterion (BIC), Vol. 7(1):3

Bayes theorem, estimating traffic volume, Vol. 4(1):27–38

Belgium
crash statistics, Vol. 2(2):159–166
travel demand, Vol. 3(3):7

BIC. See Bayesian Information Criterion

Bicycling, accessibility and, Vol. 4(2/3):67–68, 73, 74–75

Border crossings
economics, Vol. 7(1):7–21
forecast accuracy, Vol. 7(1):7–21
international freight gateways, Vol. 7(2/3):93–97

Bootstrap methods
estimation of origin-destination matrices, Vol. 5(2/3):37, 43–44
validation of motor vehicle emissions, Vol. 3(2) 29–36

Box-Jenkins ARIMA time series, Vol. 4(1):13–15
forecasting traffic flows, Vol. 5(1):47–56
speed limit changes and fatal highway crashes, Vol. 4(1):13–15, 25

Bridge improvements, Vol. 1(3):65–78

Bridges
traffic
    counting, Vol. 6(1):61
    international crossings, Vol. 7(1):7–21

Bronx, New York, Vol. 4(1):51–53

Buses, Vol. 1(2):4, 7, 11; Vol. 4(2/3):79–90. See also Public transportation
forecasting usage, Vol. 7(1):39–59
noise pollution, Vol. 1(3):10–11

C

California
commodity inflows, Vol. 7(1):36
highway crashes and older drivers, Vol. 6(2/3):51–65
Northridge earthquake, Vol. 1(1):v–73
Port of Los Angeles, international freight, Vol. 7(2/3): 93–97
San Diego, increased roadway capacity, Vol. 5(1):27
San Francisco, increased roadway capacity, Vol. 5(1):27
San Francisco Bay Area Rapid Transit
    customer satisfaction among riders, Vol. 4(2/3):71
    employment growth, in relation to, Vol. 4(1):54
    time-use behavior model, Vol. 5(1):39
    travel behavior, home-based workers, Vol. 1(3):25–41
    truck flows, Vol. 1(1):67, 69, 71, 72
unregistration rates of on-road vehicles, Vol. 7(2/3):1–12

Canada
crash statistics, Vol. 2(2):159–166
freight imported from Canada into the U.S., Vol. 1(1):68–72

Capital investment in highways
environmental regulation and, Vol. 2(1):45–60
macroeconomic analyses, Vol. 1(3):65–79
positive externalities, Vol. 1(3):81–88

Carbon dioxide
air transportation, Vol. 2(1):80
motor vehicles, Vol. 1(1):28; Vol. 3(2):3–4, 7, 12, 29–32, 34

Carbon monoxide
motor vehicles, Vol. 3(2):3–5, 7, 9–10, 12, 29–32, 34, 40, 44–45, 65–84, 86, 91–101

Cargo
containerized, Vol. 6(1):71-86
international, U.S./Mexico, Vol. 7(1):7–21
train waybill data models and statistics, Vol. 4(1):75–79

Cars. See Motor vehicles, Passenger cars

Census Transportation Planning Package (CTTP), Vol. 4(2/3):67–78

CFS. See Commodity Flow Survey

Chase car data
measuring vehicle emissions, Vol. 3(2):15–28
potential inaccuracy, Vol. 3(2):17–18

Chicago streets, Vol. 5(1):1–15

China, containerized cargo, Vol. 6(1):71-86

Clean Air Act emissions standards, Vol. 3(2):2–3, 5

Climate change
air transportation, Vol. 2(1):79–80
motor vehicle emissions, Vol. 3(2):v
motor vehicles, social costs, Vol. 1(1):22

Cluster analysis, land-use and transportation sketch planning, Vol. 4(1):39–49

Colorado
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Commodities
estimating state-level truck traffic, Vol. 1(1):63–73; Vol. 3(1):53–66
movement after Northridge earthquake, Vol. 1(2):37–48
transportation as, Vol. 3(1):15–29

Commodity Flow Survey, Vol. 3(1):53–66; Vol. 7(1):23–37
estimating state-level truck activities, Vol. 1(1):63–74

Commuters, Vol. 1(3):25–39
activities of, Vol. 5(2/3):19–36
demographics of, Vol. 2(1):93–107
transit strikes, Vol. 1(3):43–51
travel time, costs of freeway incidents, Vol. 2(2):123–130
survey, Northridge, California, earthquake, Vol. 1(2): 13–15, 31–33

Commuting
forecasting train usage, Vol. 7(1):39–59
impact of Northridge earthquake, Vol. 1(2):1–4, 8–19, 31–35, 50–51, 59–61
time spent, Vol. 5(1):25–45

Congestion. See Traffic congestion

Connecticut
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):67, 69, 72

Containerized cargo, Vol. 6(1):71-86

Content analysis, Vol. 1(2):65–73

Contextual stated preference methods, freight travel time and reliability, Vol. 3(3):83–89

Correlation
accessibility measures, Vol. 4(2/3):20–30, 40–41, 87–88
multiple serial correlation, transit investment, Vol. 2(2):113–121

Costs/cost-benefit analyses
accidents, Vol. 4(1):87–90
air transport statistics, Vol. 2(1):77–78, 83–84
disabled persons, rural vouchers, Vol. 2(1):68
environmental costs
    air pollution, Vol. 4(1):91–92
    impact on road construction, Vol. 2(1):45–60
    motor vehicle noise, Vol. 1(3):1–23; Vol. 4(1):92–93
freeway incidents, travel time, Vol. 2(2):123–131
freight travel time, Vol. 3(3):83–89
highway construction, Vol. 2(1):45–60
highway transportation in New Jersey, Vol. 4(1):81–103
impact of Northridge earthquake on trucking, Vol. 1(2):37–48
infrastructure, Vol. 4(1):90–91
motor vehicle crashes, Vol. 1(1):20, 22–23, 33; Vol. 2(1):20–43; Vol. 2(2):123–131
motor vehicle license fees, Vol. 2(2):133–147
Northridge earthquake, Vol. 1(2):15–18, 19, 21, 37, 40, 44–46
parking pricing, Vol. 2(1):100–106
public transit, Vol. 2(2):113–121
road construction, Vol. 1(3):65–78
social costs of motor vehicle use, Vol. 1(1):15–42
traffic congestion, Vol. 2(2):123-130, Vol. 4(1):87–90
transit, multiple serial correlation, Vol. 2(2):113–121
vehicle operating costs, 86–87

Covariance matrix, and travel time budgets, Vol. 5(1):35

Crashes, Vol. 2(1):19-43. See also Accidents, Safety
annual mileage as determinant of truck accidents, Vol. 3(1):69, 71, 74
and demographics, Vol. 7(2/3):13–26
fatalities, Vol. 2(2):159–166; Vol. 7(2/3):13–26
economic costs of motor vehicle crashes, Vol. 2(1):23–32, 36–43
effect of alcohol, Vol. 6(2/3):51–65
effect of speed limits, Vol. 4(1):1–26; Vol. 6(1):37–38, 51; Vol. 6(2/3):51–65
international statistics, Vol. 2(2):159–166
at intersections, Vol. 7(2/3):27–39
older drivers, Vol. 6(2/3):51–65
road characteristics in, Vol. 7(2/3):13–26
and speed, Vol. 7(2/3):13–26
types, Vol. 2(1):22, 27–32, 36–43
weather, Vol. 6(1):39–57; Vol. 7(2/3):13–26

CTPP. See Census Transportation Planning Package

Cuidad Juárez, Mexico, border economics, Vol. 7(1):7–21

D

Dallas-Fort Worth, TX, Vol. 6(1):17–32

Delaware, truck flows, Vol. 1(1):69, 71, 72

Demand
demand management, Vol. 4(1):31–37, 51–73
derived, Vol. 5(1):26
elasticities, Vol. 5(1):27; Vol. 6(2/3):91–108
forecasting using air transport statistics, Vol. 2(1):76–77, 82–83
induced, Vol. 5(1):25–27, 32
transit demand elasticity, Vol. 1(1):1–14
transportation-related final demand, Vol. 1(1):93–102

Demographic factors. See also Age
crashes, Vol. 7(2/3):13–26
determinants of trucking safety, Vol. 3(1):69–79
disabled persons, rural vouchers, Vol. 2(1):61-70
employee demographics in relation to parking, Vol. 2(1):98, 104–105
equity in motor vehicle license fees, Vol. 2(2):133–147
motor vehicle ownership, Vol. 2(1):6–16
Nationwide Personal Transportation Survey, Vol. 2(1):1–17
race as determinant of truck crashes, Vol. 3(1):69, 71–72

Denmark, crash statistics, Vol. 2(2):159–166

DIRECTIONS Travel Intelligence System, Vol. 5(2/3):85, 89

Disabled persons
vouchers for transit use, Vol. 2(1):61–69

Disaggregation. See Aggregation/disaggregation

Disasters
planning by trucking companies, Vol. 1(2):37–48
research methodology, Vol. 1(2):19–20, 39–40

District of Columbia. See Washington, DC

Driver behavior and traffic flow, Vol. 5(1):3, 23

Driver experience as determinant of truck accidents, Vol. 3(1):69, 71, 73–74

E

Econometric analyses, Vol. 3(1):1–14
airline networks, Vol. 7(1):87–101
forecasting, Vol. 7(1):7–21, 87–101
highway safety and older drivers, Vol. 6(2/3):51–65
modeling impacts of bypasses on communities, Vol. 5(1):59
regional, Vol. 7(1):7–21

Economic factors. See also Capital investment in highways, Costs/cost-benefit analysis, Demand, Employment, Gross Domestic Product
costs of traffic congestion, Vol. 2(2):123–130
efficiency of European railways, Vol. 3(3):61–67
equity of vehicle license fees by household location, Vol. 2(2):140–143
equity of vehicle license fees by income, Vol. 2(2):135–140
estimating marginal highway transportation costs, Vol. 4(1):81–102
impacts of bypasses on communities, Vol. 5(1):57–69
importance of transportation, Vol. 1(1):75–91; Vol. 3(1):15–30; Vol. 5(2/3):1–18
induced travel demand, Vol. 3(1):1–14
macroeconomic analysis of transportation investments, Vol. 1(3):43–51
motor vehicles
    license fees, Vol. 2(2):133–147
    ownership and use, Vol. 2(1):1–17; Vol. 3(3):47–60
    social costs of owning, Vol. 1(1):15–42
Northridge earthquake, Vol. 1(2):21–36, 49–64
    impact on goods movement, Vol. 1(2):37–48
price elasticities, Vol. 7(1):40
System of National Accounts, Vol. 1(1):93–102
transportation in the Canadian economy, Vol. 6(2/3):29–49
Transportation Output Index, Vol. 6(2/3):1–27
transportation related, Vol. 1(2):21–35
Transportation Satellite Accounts, Vol. 5(2/3):1–18
urban transportation, Vol. 3(1):31–52
value of travel time, Vol. 2(2):123–130

Efficiency measures, European railways, Vol. 3(3):61–68

Elasticity
cross elasticity, urban passenger transport fares, Vol. 1(1):1–14
demand on tolled motorways, Vol. 6(2/3):91–108
fares for urban passenger transport, Vol. 1(:1):43–61
modal choice, Vol. 2(2):156–157
parking prices, Vol. 2(1):1-3
price
    airline, Vol. 7(1):96
    public transportation in Spain, Vol. 7(1):40

El Paso, Texas, border economics, Vol. 7(1):7–21

EMFAC (Emission FACtor) model, Vol. 7(2/3):2–4

Emissions control. See Air pollution, Environment

Employment
and accessibility improvements, Vol. 4(2/3):49–66
and parking, Vol. 2(1):93–106
impacts on employees due to Northridge earthquake, Vol. 1(2):21–35
Northridge earthquake, Vol. 1(2):21, 23–33

England, London, traffic flows Vol. 5(1):49–50

Environment. See also Air pollution
air transportation, Vol. 2(1):79–80, 85–86
highway construction costs and regulation, Vol. 2(1):45–60
impact of environmental protection measures on road construction costs, Vol. 2(1):45–60
impacts of vehicle emissions, Vol. 3(2):1–13; Vol. 4(1):91–93
policy and regulations, Vol. 2(1):45–59

Europe
accessibility measures, Vol. 4(2/3):31–48
air transportation statistics, Vol. 2(1):71–92
French National Personal Transportation Survey statistics, Vol. 1(3):53–63
international crash statistics, Vol. 2(2):159–166
public transportation strikes in France, Vol. 1(3):43–51
railways, efficiency/output, Vol. 3(3):61–68
transit demand elasticity, Vol. 1(1):1–14
travel demand, Vol. 3(3):1–31

European Community, crash statistics, Vol. 2(2):159–166

European Road Safety Charter, Vol. 7(1):62

Exports, transportation of, Vol. 7 (2/3):93–97

Extreme values, Vol. 7(2/3):41–52

F

FARS. See Fatality Analysis Reporting System

Fatalities
effect of highway speed limits on, Vol. 4(1):1–26
hazardous material shipments, Vol. 3(1):83–85
international accident statistics, Vol. 2(2):159–166
motor vehicles, Vol. 2(1):19–43
rail, Vol. 3(1):85–86
trucking, Vol. 3(1):70, 83–85, 87–89

Fatality Analysis Reporting System (FARS), Vol. 4(1):3

Federal-aid highways, impact of environmental protection statutes on costs, Vol. 2(1):45–60

Federal Test Procedure (emissions testing), Vol. 3(2):2, 16–17, 39–47, 57–58

Finland
crash statistics, Vol. 2(2):159–166
elasticity studies of public transport, Vol. 1(1):1, 7, 10–12 (passim)

Florida
Florida Visitor Study, Vol. 5(2/3):85–86
highway speeds, Vol. 7(2/3):71–86
measuring vehicle travel by visitors, Vol. 5(2/3):83–90
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):67, 69, 72

Forecasting
accuracy, Vol. 7(1):51–57
air transportation supply and demand, Vol. 2(1):76–77, 82–83
Akaike's Information Criterion (AIC), Vol. 7(1):3
Bayesian Information Criterion (BIC), Vol. 7(1):3
borderplex econometric forecasting, Vol. 7(1):7–21
construction of highway links, Vol. 6(2/3):81–89
definitions
    accuracy, Vol. 7(1):3
    calendar effects, Vol. 7(1):2
    ex-ante forecasts, Vol. 7(1):3
    ex-post forecasts, Vol. 7(1):3
    fit, Vol. 7(1):3
    hold-out samples, Vol. 7(1):2
    information criteria, Vol. 7(1):3
    Theil's U, Vol. 7(1):3
econometric, Vol. 7(1):7–21
freight weight and value flows, Vol. 6(2/3):67–80
highway, Vol. 7(1):61–68
mobile source emissions, Vol. 6(1):17–32
pooling forecasts, Vol. 7(1):39–59, 87–101
road safety forecasting, Vol. 7(1):61–68
traffic flow, Vol. 5(1):47–56
traffic volume, Vol. 4(1):28
urban demand, Vol. 1(3):26–28, 37

Foreign countries. See specific country

France
freight demand and mode choice, Vol. 2(2):149–158
National Personal Transportation Survey, Vol. 1(3):43-51
transit strikes, Vol. 1(3):43-51
travel demand, Vol. 3(3):1–31

Freeways. See Highways

Freight. See also Commodity Flow Survey, Trucks
comparison of long-haul and metropolitan trucking, Vol. 3(3):83–89
crossing borders, Vol. 7(2/3):93–97
demand and mode choice, Vol. 2(2):149–158
econometric forecasting, Vol. 7(1):7–21
estimating weight and value flows, Vol. 6(2/3):67–80
flows, Vol. 7(1):23–37
planning, Vol. 7(1):23–37
rail, Vol. 4(1):75–79
shipper surveys, Vol. 3(3):83–89
Transportation Output Index, Vol. 6(2/3):1–27

G

Gasoline
emissions reductions, Vol. 3(2):7, 29–30
price and motor vehicle use, Vol. 1(1):17; Vol. 4(1):101
reformulated gasoline (RFG), Vol. 3(2):57–58

Geographic information systems (GIS), Vol. 6(1):59–69
used for evaluating neighborhood accessibility, Vol. 4(2/3):17, 29, 37, 38, 75–77

Georgia
Atlanta, parking, Vol. 2(1):93–107
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Ghana, travel demand, Vol. 3(3):1–31

Gibbs sampler, Vol. 7(2/3):59–70

GIS. See Geographic information systems

Goodness-of-fit statistics, Vol. 4(1):75–79; Vol. 5(1): 48–49, 55; Vol. 5(2/3):27

Goods movement after Northridge earthquake, Vol. 1(2):37–48

Great Britain
Planning Policy Guidance, Vol. 4(2/3):76
road safety forecasting, Vol. 7(1):61–68
travel demand, Vol. 3(3):1–31

Greece, crash statistics, Vol. 2(2):159–166

Gravity approach (accessibility modeling), Vol. 4(2/3):33–34

Government revenues, vehicle license fees, Vol. 2(2):133–147

Greenhouse gases. See Climate change

Gross Domestic Product
importance of transportation, Vol. 3(1):15–30; Vol. 5(2/3):1–18; Vol. 6(2/3):29–49
System of National Accounts, Vol. 1(1):93–102
transportation driven, Vol. 3(1):25–28
transportation related, Vol. 3(1):21–24

H

Handicapped persons. See Disabled persons

Hazardous materials, rail and truck shipment, Vol. 3(1): 81–92

Hawaii, truck flows, Vol. 1(1):67, 69, 71, 72
High-speed rail, value of time, Vol. 5(2/3):57–72

Highway Performance Monitoring System (HPMS), Vol. 6(1):60, 68

Highways
capacity, Vol 5(1):25–45
congestion and delays, Vol. 2(2):123–130
construction of new links, Vol. 6(2/3):81–89
detours due to earthquake damage, Vol. 1(2):1–20
environmental regulation and costs, Vol. 2(1):45–60
federal-aid highways, Vol. 2(1):45–60
impacts of bypasses on communities, Vol. 5(1):57–69
improvements, Vol. 1(3):65–79
induced travel demand, Vol. 3(1):1–14
inventory, Vol. 3(3):33–45
Northridge earthquake, Vol. 1(2):1–73
    goods movement after, Vol. 1(2):37–48
    reconstruction after, Vol. 1(2):1–20
road construction and environmental statutes, Vol. 2(1):45–60
rural interstates, Vol. 7(2/3):71–86
speed limits, effect on number of fatal accidents, Vol. 4(1):1–26
trips, relationship to value of time data, Vol. 5(2/3):58–72
transportation costs, Vol. 4(1):81–103
truck accidents on ramps, Vol. 1(1):75–91
user fees, New Jersey, Vol. 4(1):99–102

Home-based workers, travel behavior, Vol. 1(3):25–39

HPMS. See Highway Performance Monitoring System

Hydrocarbons, motor vehicle emissions, Vol. 3(2):3–5, 7, 8, 12, 29–32, 34, 40, 44–45, 51–63, 65–84

I

Idaho, truck flows, Vol. 1(1):69, 72

Illinois
Chicago streets, Vol. 5(1):1–15
commodity inflows, Vol. 7(1):35
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Imports, transportation of, Vol. 7(2/3):93–97

Income, and equity of vehicle license fees, Vol. 2(2):133–147

Indexes
Air Travel Price Index, Vol. 7(2/3):41–52
extreme values, Vol. 7(2/3):41–52
Fisher index, Vol. 7(2/3):41–52
Laspeyres index, Vol. 7(2/3):43–52
Paasche index, Vol. 7(2/3):43–52
Taylor series, Vol. 7(2/3):41–52
Törnqvist index, Vol. 7(2/3):41–52

India, travel demand, Vol. 3(3):1–31

Indiana
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Induced travel demand, Vol. 3(1):1–14; Vol. 5(1):25–27, 32

Infrastructure
business losses due to infrastructure damage, Vol. 1(2): 49–62
costs, Vol. 1(3):):65-78, 81-88
    highway, Vol. 4(1):90–91, 100
funding improvements, Vol. 5(2/):83
improvements and safety, Vol. 3(1):81, 83, 90–91
port, Vol. 6(1):71-86
predicting construction of highway links, Vol. 6(2/3): 81–89
use of air transport statistics, Vol. 2(1):78–79, 84–85

Injuries
hazardous materials, Vol. 3(1):85–86
international accident statistics, Vol. 2(2):159–166
input-output coefficient, Vol. 3(1):53–66
motor vehicle, Vol. (2(1):19–43; Vol. 2(2):160–163

Intelligent transportation systems (ITS), Vol. 4(1):61, Vol. 5(2/3):37–40, 43, 50; Vol. 7(2/3):53–70

Intermodal transportation, mode choice, Vol. 2(2):149–158

International perspectives, See also Europe, specific countries
crash statistics, Vol. 2(2):159–166
motor vehicle noise, Vol. 1(3):9
travel demand, country comparisons, Vol. 3(3):1–31
urban congestion, air pollution, Vol. 3(2):85–102
urban transport modeling, Vol. 3(1):42–49

International air transport statistics, Vol. 2(1):71–92

International travel demand, Vol. 3(3):1–31

Investment
macroeconomic analysis of transportation investments, Vol. 1(3):43–51
transportation improvements, Vol. 1(3):65–78
transportation in the economy, Vol. 1(1):93–102

Iowa
impacts of bypasses on communities, Vol. 5(1):58
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):67, 69, 72

Ireland, crash statistics, Vol. 2(2):159–166

Italy, crash statistics, Vol. 2(2):159–166

ITS. See Intelligent transportation systems

J

Jämtland, Sweden, accessibility measures, Vol. 4(2/3):83–89

Japan
crash statistics, Vol. 2(2):159–166
Kobe earthquake, Vol. 1(2):33–35
travel demand, Vol. 3(3):1–31

K

Kansas
impacts of bypasses on communities, Vol. 5(1):59
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):67, 69, 72

Kentucky
Medicaid transit service, Vol. 5(2/3):73–81
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Korea, trip time in the NW-SE corridor, Vol. 5(2/3):57–72

L

Labor markets and accessibility modeling, Vol. 4(2/3):54, 57, 63–64

Labor supply, accessibility improvements, Vol. 4(2/3):49–66

Land-use planning
cluster analysis, Vol. 4(1):39–49
creating land-use scenarios, Vol. 4(1):39–49
policy creation, Vol. 6(1):1–16
neighborhood accessibility, Vol. 4(2/3):67-78

Least squares estimation
demand elasticity on tolled motorways, Vol. 6(2/3):99–102
effects of alcohol and speed on older drivers, Vol. 6(2/3): 51–65
motor vehicle crash analysis, Vol. 6(1):40–55
origin-destination matrices, Vol. 5(2/3):37–56
travel time budgets, Vol. 5(1):35

Lebanon, urban congestion, air pollution, Vol. 3(2):85–102

Legislation, federal
Clean Air Act, Vol. 3(2):2–3, 5
Department of Transportation Act, Vol. 2(1):47–48
Highway Safety Act, Vol. 3(3):71
Intermodal Surface Transportation Efficiency Act, Vol. 3(3):71
Motor Carrier Acts, Vol. 3(1):71–72, 84
National Environmental Policy Act, Vol. 2(1):47–49
Nuclear Waste Policy Act, Vol. 3(1):82
Urban Mass Transportation Act, Vol. 2(1):62
various, Vol. 2(1):48

Licenses and licensing
vehicle license fees, Vol. 2(2):133–147

Light trucks. See also Trucks/trucking
accidents risks, Vol. 2(1):27, 36–43
emissions, Vol. 3(2):49–63
ownership and use, Vol. 3(3):47–60

Linear captivity models, to determine demand elasticities, Vol. 5(1):27

Linear logit models, to determine demand elasticities, Vol. 5(1):27

Logit models
freight travel time and reliability, Vol. 3(3):83-89
parking and travel behavior, Vol. 2(1):95
vehicle type by driver, Vol. 3(3):56–58

Loglinear models, Vol. 4(1):75–79

London, England, traffic flows, Vol. 5(1):49–50

Long-term memory model, forecasting traffic flows, Vol. 5(1):51

Louisiana
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Luxembourg, crash statistics, Vol. 2(2):159–166

M

Macroeconomic analysis of transportation investments, Vol. 1(3):43–51

Malaysia, motorcycle crashes, Vol. 7(2/3):27–39

Maine, truck flows, Vol. 1(1):67, 69, 71, 72

Maintenance and repair, pollutant emissions, Vol. 3(2):6, 16, 92

Markov Chain Monte Carlo, Vol. 7(2/3):59–70

Maryland
induced travel demand, Vol. 3(1):1–14
study of road capacity and VMT, Vol. 5(1):28
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Mass transit. See Transit

Massachusetts
commodity inflows, Vol. 7(1):31
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Maximum likelihood estimation, Vol. 5(1):63

MEASURE (Mobile Emissions Assessment System for Urban and Regional Evaluation), Vol. 3(2):49–63

Meta-analyses
European public transport demand, Vol. 1(1):1–14
railway efficiency/output, Europe, Vol. 3(3):61–68
travel demand, country comparisons, Vol. 3(3):1–31

Mexico
border economics, Vol. 7(1):7–21
freight exports to the U.S., Vol. 1(1):68–72

Michigan
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):67, 69, 71, 72

Mileage. See also Vehicle-miles of travel
as a determinant of truck accidents, Vol. 3(1):69, 71, 74

Minivans. See Light trucks

Minneapolis-St. Paul, MN
construction of highway links, Vol. 6(2/3):81–89

Minnesota
impacts of bypasses on communities, Vol. 5(1):558
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):67, 69, 72

Mississippi
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Missouri
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Mobile mapping system, Vol. 3(3):33–46

MOBILE (Mobile Source Emission Factor Model), Vol. 7(2/3):2

MOBILE6 (Mobile Source Emissions Factor Model) vehicle emissions model, Vol. 3(2):39–47

Mobility
induced travel demand, Vol. 3(1):1–14
international travel demand, Vol. 3(3):1–31
mobility enhancement strategies, Vol. 4(1):51–73

Mode choice, Vol. 1(1):43–57
and freight demand, Vol. 2(2):149–158
during transit strikes, Vol. 1(3):43–51
models, Vol. 3(3):55–57
travel budgets, Vol. 3(3):1–31

Models
accessibility, Vol. 1(3):71–72; Vol. 4(2/3):31–47
analysis of covariance vehicle emissions (ANCOVA), Vol. 3(2):49–63
Bayesian network model for crashes, Vol. 7(2/3):13–26
binomial logit, Vol. 6(2/3):87–88
binomial regression, person-trips, Vol. 3(3):51–53
borderplex, Vol. 7(1):7–21
Box-Jenkins ARIMA time series, Vol. 4(1):13–15; Vol. 7(1):43, 63–64
forecasting traffic flows, Vol. 5(1):52, 54, 55
commuters' activity frequency, Vol. 5(2/3):19–36
CORSIM, traffic simulation, Vol. 5(1):1–22
crashes, Vol. 6(1):33–57
discrete choice, Vol. 2(2):150; Vol. 6(1):71-86
disaggregated choice, Vol. 1(1):1
dynamic congestion, Vol. 4(2/3):6–8
Dynamic Harmonic Regression, Vol. 7(1):43, 49–59
Dynamic Transfer Function Causal Model, Vol. 7(1):43–49
econometric, Vol. 7(1):87–101
    impacts of bypasses on communities, Vol. 5(1):561
economic impacts of Northridge earthquake, Vol. 1(2):23–27
emissions, Vol. 3(2):65–84
emissions control deterioration, Vol. 3(2):39–47
fixed-effect
    impacts of bypasses on communities, Vol. 5(1):61–62
    induced travel demand, Vol. 3(1):6–9, 11
general noise cost, motor vehicle use, Vol. 1(3):1–24
generalized linear model, Vol. 7(2/3):27–39
goodness-of-fit, Vol. 5(1):48–49, 55
gravity, Vol. 7(1):24
    freight, Vol. 3(1):63–64; Vol. 6(2/3):67–80
heteroskedastic extreme value choice, Vol. 1(1):43, 46–47
input-output, Vol. 7(1):23–37
    freight, Vol. 3(1):53–66
    origin-destination matrices, Vol. 5(2/3):47
linear captivity, to determine demand elasticities, Vol. 5(1):27
linear logit, to determine demand elasticities, Vol. 5(1):27
linear regression, speed limits and fatal highway crashes, Vol. 4(1):2
linear trend, speed limits and fatal highway crashes, Vol. 4(1):3
logit, parking and travel behavior, Vol. 2(1):95
loglinear, Vol. 4(1):74–79; Vol. 6(2/3):97–98
    regression, Vol. 6(1):17, 20–23, 25–31
long-term memory, forecasting traffic flows, Vol. 5(1):51
MOBILE (Mobile Source Emissions Factor Model), Vol. 6(1):17–32
MOBILE6 (Mobile Source Emissions Factor Model) vehicle emissions, Vol. 3(2):39–47; Vol. 6(1): 17–32
modal emissions, Vol. 3(2):31
mode choice, Vol. 3(3):53–54
motor vehicle noise costs, Vol. 1(3):3–7
motor vehicle ownership, Vol. 3(3):53–54
multinomial logit, Vol. 2(2):152–153
    commuters' activity schedules, Vol. 5(2/3):20–36
    containerized cargo shippers' behavior, Vol. 6(1):74–80
    freight travel time and reliability, Vol. 3(3):83–89
    mode choice, Vol. 3(3):55–57
MVEI7G vehicle emissions, Vol. 3(2):85–101
naïve, forecasting traffic flows, Vol. 5(1):51–52
neighborhood accessibility, Vol. 4(2/3):67–78
nested logit, commuters' activity schedules, Vol. 5(2/3): 19–36
network assignment model, Vol. 5(2/3):57–72
nonlinear cost model, Vol. 6(2/3):81–89
nonlinear, for neural networks, Vol. 5(1):52
ordinary least squares, impacts of bypasses on communities, Vol. 5(1):67–68
path-based accessibility, Vol. 4(2/3):79–90
prediction, Vol. 7(2/3):27–39
probit
    ordered, to study demand elasticity, Vol. 6(2/3): 102–103
    ordered, to study vehicle occupancy, Vol. 3(3):53–55
    determinants of trucking safety, Vol. 3(1):69–79
rail freight shipments, Vol. 4(1):74–79
random-effects
    impacts of bypasses on communities, Vol. 5(1):62–63, 67–68
    highway construction costs, Vol. 2(1):50–57
regression
    trucking safety, Vol. 3(1):75
    impacts of bypasses on communities, Vol. 5(1):61
seemingly unrelated regression estimation (SURE)
    impacts of bypasses on communities, Vol. 5(1):62–64, 67–68
    travel time budgets, Vol. 5(1):35–36
simultaneous equation, Vol. 4(1):49–66; Vol. 5(1):36
Southern California Planning Model (SPCM), Vol. 1(2):21–35
space-time, Vol. 6(1):33–57
spatial allocation, Vol. 1(2):21–35
statistical modeling of arrival and departure times, Vol. 5(1):71–82
structural, Vol. 7(1):8–21
structural time series, speed limits and fatal highway crashes, Vol. 4(1):1–7, 11–12, 13–15, 16–18, 22–23, 25
time series, Vol. 4(1):3–7; Vol. 7(1):69–85
traffic crashes, Vol. 7(2/3):13–26
traffic flows, Vol. 5(1):47–56
traffic simulation, Vol. 5(1):1, 16
transportation in urban areas, Vol. 3(1):31–52
trips per vehicle, Vol. 3(3):51–52
urban passenger transport, Vol. 1(1):43–61
use of light-duty and passenger cars, Vol. (33):47–60
validation of, Vol. 5(1):1–2
vehicle emissions, Vol. 3(2):29–38
vehicle emissions with MEASURE (Mobile Emissions Assessment System for Urban and Regional Evaluation), Vol. 3(2):49–63
vehicle-miles of travel, Vol. 3(3):50–51
vehicle occupancy, Vol. 3(3):51–52
vehicle ownership, Vol. 3(3):57–59
weighted least squares model of vehicle-miles of travel, Vol. 3(3):50

Montana, truck flows, Vol. 1(1):69, 72

Monte Carlo simulation
model of commuters' activities, Vol. 5(2/3):19, 31, 33
origin-destination matrices, Vol. 5(2/3):45–47, 51
roadway traffic crashes, Vol. 6(1):39–57

Motorcycles
crashes, Vol. 2(1):19, 22, 25, 26, 29–31, 33, 36–43; Vol. 2(1):36–43; Vol. 2(2):164; Vol. 7(2/3):27–39
license fees, California, Vol. 2(2):133–147
noise pollution, Vol. 1(3):10–11

Motor vehicles. See also Passenger cars, Trucks/trucking
air pollution, Vol. 1(1):20, 23, 27–28, 33, 48; Vol. 3(2): v–ix, 1–102
automatic vehicle identification, Vol. 7(2/3):53–70
crashes, Vol. 1(1):20, 22–23, 27, 33; Vol. 2(1):19–43; Vol. 2(2):123–131, 159–166; Vol. 6(1):33–57; Vol. 7(2/3):13–26
emissions, Vol. 7(2/3):1–12
fatalities, Vol. 6(1):34, 38, 54; Vol. 7(2/3):13–26, 27–39
induced travel demand, Mid-Atlantic, Vol. 3(1):1–14
license fees, Vol. 2(2):133–147
light trucks and passenger cars, Vol. 3(3):47–60
models, Vol. 3(3):50–51
motor vehicle ownership and use, 11, 17, Vol. 2(1):3–7
Nationwide Personal Transportation Survey, Vol. 2(1):1–17
noise, Vol. 1(1):20–21, 23, 33, 36–38; Vol. 1(3):1–23
occupancy models, Vol. 3(3):53–54
operating costs, Vol. 4(1):86–87
ownership and use, 14–16; Vol. 2(1):1–17; Vol. 2(1): 6–7; Vol. 3(3):47–60; Vol. 3(3):57–59; Vol. 4(2/3): 58, 65; Vol. 5(2/3):21
passenger car ownership and use, Vol. 3(3):47–60
social costs, Vol. 1(1):15–42
speed and speed limits, Vol. 3(3):69–81
unregistration rates, Vol. 7(2/3):1–12
vehicle-miles of travel, Vol. 3(1):1–14
    crashes, Vol. 1(1):76, 77, 80, 83, 84–88;

Multinomial logit models, freight travel time and reliability, Vol. 3(3):83–89

Multiple serial correlation, transit investment, Vol. 2(2):113–121

N

NAFTA. See North American Free Trade Agreement

Naïve model, forecasting traffic flows, Vol. 5(1):51–52

National Ambient Air Quality Standards, Vol. 6(1):17–18

National Bicycling and Walking Study, Vol. 4(2/3):73

National Cooperative Highway Research Program
research on bypasses, Vol. 5(1):59
tourism travel project, Vol. 5(2/3):84

National Highway Designation Act of 1995, Vol. 7(2/3):71–72

National Highway Network, Vol. 6(2/3):73–74

National Household Travel Survey, Vol. 5(2/3):89–90

National Maximum Speed Limit Act of 1974, Vol. 3(3):69–81; Vol. 4(1):2, 3, 16, 18; Vol. 7(2/3):73

National Personal Transportation Survey, France, Vol. 1(3):43–51

Nationwide Personal Transportation Survey (NPTS), United States, Vol. 2(1):1–17; Vol. 2(2):134–146, Vol. 3(3):47–60; Vol. 5(1):25, 26–28, 34

Nebraska, truck flows, Vol. 1(1):69, 72

Nevada
hazardous materials shipments, Vol. 3(1):82
truck flows, Vol. 1(1):68, 69, 72

Netherlands
crash statistics, Vol. 2(2):159–166
elasticity studies of public transport, Vol. 1(1):1, 7, 10–12 (passim)
travel demand, Vol. 3(3):1–31
travel surveys of arrival and departure times, Vol. 5(1):71–82

New Hampshire, truck flows, Vol. 1(1):67, 69, 72

New Jersey
highway transportation costs, Vol. 4(1):81–103
highway user fees, Vol. 4(1):99–102
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

New Mexico, truck flows, Vol. 1(1):68, 69, 72

New York
Bronx, New York, Vol. 4(1):51–53
commodity inflows, Vol. 7(1):32
JFK International Airport, air cargo, Vol. 7(2/3)93–97
South Bronx, accessibility to jobs, Vol. 4(2/3):49–66
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 71, 72

New Zealand, crash statistics, Vol. 2(2):159–166

Noise costs
air transportation, Vol. 2(1):79, 85
motor vehicle use, Vol. 1(1):20–24, 33; Vol. 1(3):1–23

Nonlinear model, for neural networks, Vol. 5(1):52

Nonparametric statistics, Vol. 3(3):61–67

Nonparametric tests, traffic forecasting, Vol. 5(1):47–56
direction of change, Vol. 5(1):53
rank correlation, Vol. 5(1), 53
signs test, Vol. 5(1):52
Wilcoxon test on location, Vol. 5(1):52–53, 54
Wilcoxon test on variance, Vol. 5(1):53

North American Free Trade Agreement (NAFTA), Vol. 7(1):9, 18

North Carolina
induced travel demand, Vol. 3(1):1–14
study of road capacity and VMT, Vol. 5(1):28
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

North Dakota, truck flows, Vol. 1(1):67, 69, 71, 72

Northridge earthquake, Vol. 1(2):iv–vi, 1–73
buses, Vol. 1(2):4, 7, 11
businesses
    losses by type of business, Vol. 1(2):56–59
    impacts on employees, Vol. 1(2):21–35
    interruptions, Vol. 1(2):21–35
    survey of impacts, Vol. 1(2):49–62
commuter rail transportation, Vol. 1(2):4, 15–17, 69–7
commuter travel, Vol. 1(2):1–20, 31–35, 50–51, 59–60
comparison to Kobe earthquake, Vol. 1(2):33–35
costs, Vol. 1(2):16–18, 19, 21, 27–29, 35, 37, 44–46
detours due to damage by the earthquake, Vol. 1(2):1–20
earthquake losses by company type, Vol. 1(2):56–59
economic impacts, Vol. 1(2):21–36, 49–64
goods movement after the earthquake, Vol. 1(2):37–48
highways, Vol. 1(2):1–73
    reconstruction after the earthquake, Vol. 1(2):1–20
impact on construction sector, Vol. 1(2):3–7
impact on employees, Vol. 1(2):21–35
impact on urban areas, Vol. 1(2), 1–73
media coverage, Vol. 1(2):65–73
modeling economic impacts, Vol. 1(2):21–35
parking, Vol. 1(2):19, 104–106, 96–100
public transit ridership, Vol. 1(2):1–20
road transport, Vol. 1(2):1–20
spatial allocation models, Vol. 1(2):21–36
surveys of business impacts, Vol. 1(2):49–62
surveys of economic impacts, Vol. 1(2):21–35
telecommuting, Vol. 1(2):35
traffic volume changes, Vol. 1(2):1–20
transit effects, Vol. 1(2):1–20
trucks and trucking, Vol. 1(2):37–48, 57, 58
    costs / cost-benefit analyses, Vol. 1(2):37–48
wholesale/retail trade, Vol. 1(2):21–36, 55–60

Norway
travel demand, Vol. 3(3):1–31
elasticity studies of public transport, Vol. 1(1):1, 7, 10–12 (passim)

NPTS. See Nationwide Personal Transportation Survey

O

Ohio
commodity inflows, Vol. 7(1):34
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Oil, motor vehicles and social costs, Vol. 1(1):25–27

Oklahoma
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

On-time performance of long-haul and metropolitan freight, Vol. 3(3):83–89

Opportunities approach (accessibility modeling), Vol. 4(2/3):33–34

Oregon
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Origin-destination, Vol. 4(1):84–85, 87, 93; Vol. 5(2/3):37–56, 57–72
estimating freight weight and value flows, Vol. 6(2/3):67–80

Ozone layer and air transportation, Vol. 2(1):79–80

P

Parking, Vol. 2(1):93–106
and office development, Vol. 2(1):93–106
Atlanta, parking management, Vol. 2(1):93–107
generation, Vol. 6(1):1–16
impact on travel behavior, Vol. 2(1):99–102
light trucks and passenger cars, Vol. 3(3):57
Northridge earthquake, Vol. 1(2):19
social costs of motor vehicles, Vol. 1(1):21–22, 29–30
subsidies, Vol. 2(1):103–104
zoning management, Vol. 2(1):96, 98–99, 104–105

Particulate matter, motor vehicles, Vol. 3(2):86, 91–92, 94

Passenger cars. See also Motor vehicles
accident risks, Vol. 2(1):27, 36–43
ownership and use, Vol. 3(3):47–60

Path-based accessibility (accessibility modeling), Vol. 4(2/3): 79–91

Pedestrians, accidents involving, Vol. 2(1):22, 26–32, 36–43; Vol. 2(2):164–165

Pennsylvania
commodity inflows, Vol. 7(1):33
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Physically handicapped persons. See disabled persons

Pickup trucks. See Light trucks

PIERS Database. See Port Import Export Reporting Service

Planning and policy
creating land-use scenarios, Vol. 4(1):39–49
mobility enhancement strategies, Vol. 4(1):51–73

Police accident reports
international crash statistics, Vol. 2(2):162

Policy
environmental policy, Vol. 2(1):45–59
use of air transport statistics, Vol. 2(1):74–76, 81–82
use of surveys and models in policy formation, Vol. 3(1):31–52

Pollution. See Air pollution

Port Import Export Reporting Service (PIERS), Vol. 6(2/3): 73–79

Portland, Oregon, sidewalk inventory, Vol. 4(2/3):74–75

Ports (air, land, and water), Vol. 7(2/3):93–97

Portugal, crash statistics, Vol. 2(2):159–166

Probit estimation, determinants of safety in trucking industry, Vol. 3(1):69–79

Probit models
motor vehicle trip occupancy, Vol. 3(3):54–55

Productivity analysis
transportation projects, Vol. 1(3):65–78
use of air transport statistics, Vol. 2(1):77–78, 83–84

Public transportation, Vol. 4(1):51–73.
accessibility, Vol. 4(2/3):51–57, 71–73, 74
commuting during transit strikes, France, Vol. 1(3):43–51
costs, Vol. 2(2):113–121
demand elasticity, Europe, Vol. 1(1):1–14
emergency bus service, Vol. 1(2):1–20
fare elasticity, Vol. 1(1):43–57
fares, Vol. 7(1):40
forecasts, Vol. 7(1):39–59
Northridge earthquake, Vol. 1(2):1–3, 7, 9, 11, 15–20
response to Northridge earthquake, Vol. 1(2):1-20
ridership after Northridge earthquake, Vol. 1(2):1-20
services to Medicaid recipients, Vol. 5(2/3):73–81
strikes, Vol. 1(3):43–51
timetables, Vol. 5(1):79
travel demand, country comparisons, Vol. 3(3):1–31
urban transportation, Australia, Vol. 3(1):31–52
voucher programs for physically handicapped persons in rural areas, Vol. 2(1):61–69

R

Railways, Vol. 7(1):79–84
Car Waybill Sample, Vol. 4(1):76, 79
commuter usage, Vol. 7(1):39–59
efficiency/output of European railways, Vol. 3(3):61–68
freight demand and mode choice, Vol. 2(2):149–158
hazardous materials shipment, Vol. 3(1):81–92
modeling freight shipments, Vol. 4(1):74–79
trips, relationship to value of time data, Vol. 5(2/3):58–72

Ramps, truck accidents on freeway ramps, Vol. 1(1):75–91

Random utility theory, Vol. 1(2):45–46

Reformulated gasoline, Vol. 3(2):50–61

Regional analysis
commodity flow data, Vol. 7(1):23–37
econometric forecasting, Vol. 7(1):7–21

Regression analysis, Vol. 2(1):101–103
crashes and traffic volume, Vol. 4(1):89–90
estimation of origin-destination matrices, Vol. 5(2/3): 37–56
impacts of bypasses, Vol.5(1):59
induced travel demand, Vol. 3(1):10, 12–13
parking and travel behavior, Vol. 2(1):95, 101–103
parking and trip generation rates, Vol. 6(1):1–16
vehicle license fees, Vol. 2(2):140–143
vehicle use and household characteristics, Vol. 2(1):13–16

Regression models
binomial
    commuters' activity schedules, Vol. 5(2/3):31–32
    person-trips, Vol. 3(3):51–53
multivariate constrained, Vol. 5(2/3):39–56
of person-trips per vehicle, Vol. 3(3):51–53
Poisson, Vol. 5(2/3):31–32; Vol. 7(1):64–65
univariate constrained and unconstrained, Vol. 5(2/3): 39–56

Remote sensing (emissions testing), Vol. 3(2):3–4

RFG. See Reformulated gasoline

Rhode Island, truck flows, Vol. 1(1):69, 72

Road construction
affects of additional capacity on travel demand, Vol. 5(1):25–45
impact of environmental protection statutes, Vol. 2(1):45– 60

Roadway inventory data collection, Vol. 3(3):33–46

Rough set analysis
European public transport demand, Vol. 1(1):1–14

Rural areas
effects of speed limits on fatal accidents, 10, Vol. 4(1):3–7
transit services to Medicaid recipients, Vol. 5(2/3):73–81
transit vouchers for persons with disabilities, Vol. 2(1):61–69

S

Safety. See also Accidents, Crashes
aviation, Vol. 2(1):79, 85
determinants of truck crashes, Vol. 3(1):69–79
forecasting
    highway, Vol. 7(1):61–68
    road, Vol. 7(1):61–68
hazardous materials, rail and truck shipments, Vol. 3(1):81–92
highway safety and older drivers, Vol. 6(2/3):51–65
modeling traffic crashes, Vol. 7(2/3):13–26
motorcycle crashes in Malaysia, Vol. 7(2/3):27–39
rail, Vol. 3(1):81–92
traffic, Vol. 6(1):33–57
trucking, Vol. 3(1):69–79, 81–92

Sampling
earthquake business losses, Vol. 2(2):54–55
freight travel time and reliability, Vol. 3(3):86, 88
home-based workers, Vol. 1(3):28–32
motor vehicle emissions, Vol. 3(2):1, 9–10, 28, 42, 55
random sampling for traffic counting, Vol. 6(1):59–69
travel demand, country comparisons, Vol. 3(3):6
urban transport fares, Vol. 1(1):47–49
selection bias, Vol. 1(2):54-55, Vol. 3(2):10–11
unregistered vehicles, Vol. 7(2/3):3–6

San Diego, increased roadway capacity, Vol. 5(1):27

San Francisco
commuters' activities, Vol. 5(2/3):19–36
increased roadway capacity, Vol. 5(1):27

San Francisco Bay Area Rapid Transit
customer satisfaction among riders, Vol. 4(2/3):71
employment growth, in relation to, Vol. 4(1):54

School bus ridership, Vol. 4(1):v

Seaports, international cargo, Vol. 7(2/3):93–97

Seemingly unrelated regression estimation (SURE) model, and travel time budgets, Vol. 5(1):35–36

Sensitivity analysis
air quality, Vol. 3(2):96
motor vehicle noise costs, Vol. 1(3):16–19
estimation of origin-destination matrices, Vol. 5(2/3): 46–47

Serial correlation analysis, Vol. 2(2):113–121

Signals, traffic, Vol. 5(1):2–7, 16–17, 24

Simultaneity bias, induced travel demand, Vol. 3(1):1–14

Singapore, travel demand, Vol. 3(3):1–31

Sleep as a determinant of truck accidents, Vol. 3(1):69, 71, 74

Slovenia, motor vehicle accidents, Vol. 7(2/3):13–26

Social cost analysis, motor vehicle use (U.S.), Vol. 1(1):15–42

Social factors
disabled persons, rural vouchers, Vol. 2(1):61–70
motor vehicle use costs, Vol. 1(1) 15–42; Vol. 1(3):1–24
urban transport fares, Vol. 1(1):47–61

Socioeconomic status. See also Educational attainment
disabled persons, rural vouchers, Vol. 2(1):61–70
home-based workers, Vol. 1(3):30–32
induced travel demand, Mid-Atlantic, Vol. 3(1):7–13
light trucks and passenger cars, Vol. 3(3):47–60
motor vehicle emissions, Vol. 3(2):6
parking, zoning management, Vol. 2(1):96, 98–99, 104–105
travel demand, country comparisons, Vol. 3(3):1–31
vehicle license fees, Vol. 2(2):135–137

South Bronx, New York, accessibility improvements and local employment, Vol. 4(2/3):49–66

South Carolina
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Southern California Planning Model (SPCM), Vol. 1(2):21–35

South Dakota, truck flows, Vol. 1(1):67, 69, 72

Southwest Airlines effect, Vol. 7(1):87–101

Space-time prisms
accessibility within the transportation network, Vol. 4(2/3):1–14
commuters' activity schedules, Vol. 5(2/3):23–34

Spain
crash statistics, Vol. 2(2):159–166
demand elasticity on tolled motorways, Vol. 6(2/3):91–108
public transport system forecasting use, Vol. 7(1):39–59

Spatial allocation models, Vol. 1(2):21–35; Vol. 1(2):21–36

Spatial mismatch hypothesis, Vol. 4(2/3):54–54, 61

Speed and speed limits. See also Traffic congestion
and older drivers, Vol. 6(2/3):51–65
effect of highway speed limits on fatalities, Vol. 4(1):1–26
effect on motor vehicle crashes, Vol. 6(1):37–38, 51
emissions and, Vol. 3(2):15–28, 34–37, 90–91, 92–93, 96–99
hazardous materials shipments, Vol. 3(1):69, 78, 80, 88, 90
in relation to funding, Vol. 3(3):69, 70–71
minimum and maximum speeds, Vol. 7(2/3):71–86
monitoring in traffic management, Vol. 3(3):69–80
National Highway Designation Act of 1995, Vol. 7(2/3): 71–72
National Maximum Speed Limit Act of 1974, Vol. 7(2/3): 73
noise level and, Vol. 1(3):6, 10, 11, 19–20
personal transportation surveys, Vol. 1(3):58
on rural interstates, Vol. 7(2/3):71–86
traffic management monitoring program, Vol. 3(3):69–81
travel demand, country comparisons, Vol. 3(3):8–9, 27
travel speed and time, Vol. 5(1):25, 33
truck drivers, Vol. 3(1):69, 78, 81, 88, 90

Sport utility vehicles. See Light trucks

Statistical significance, Vol. 6(1):1–16

Stockholm, Sweden, accessibility measures, Vol. 4(2/3):83–89

Strikes
commuter impacts, Vol. 1(2):43–51
commuting during transit strikes France, Vol. 1(3):43–51

Supply and demand. See also Sampling
air transportation, Vol. 2(1):76–77, 82–83
European public transport demand, Vol. 1(1):1–14
final demand of transportation, Vol. 3(1):15, 19–21
freight demand and mode choice, Vol. 2(2):149–158
induced travel demand, Mid-Atlantic, Vol. 3(1):1–14
investment, macroeconomic analyses, Vol. 1(3):72
railways, European, efficiency/output, Vol. 3(3):61–68
System of National Accounts, Vol. 1(1):93–102
transit investment, serial correlation, Vol. 2(2):119–120
travel demand, country comparisons, Vol. 3(3):1–31
Commodity Flow Survey, trucking, Vol. 1(1):63–74; Vol. 3(1):53, 56–58
light trucks and passenger cars, Vol. 3(3):47–60
motor vehicle ownership and use, Vol. 2(1):1–17
urban transport, Australia, Vol. 3(1):31, 39, 42–51
urban transport fares, Vol. 1(1):47–61

SURE. See Seemingly unrelated regression estimation model

Surveys
business impacts of Northridge earthquake, Vol. 1(2):49–62
Commodity Flow Survey, Vol. 3(1):43–48
commuters, Vol. 1(1):13–15, 31–33
DIRECTIONS Travel Intelligence System, Vol. 5(2/3): 85, 89
economic impacts of Northridge earthquake, Vol. 1(2):21–35
Florida Visitor Study, Vol. 5(2/3):85–86
freight shippers, Australia, Vol. 3(3):83–89
Los Angeles area trucking companies, Vol. 1(2):37–48
Medicaid transit services, Vol. 5(2/3):77–81
National Personal Transportation Survey, France, Vol. 1(3): 53–63
Nationwide Personal Transportation Survey (NPTS), United States, Vol. 2(1):1–17; Vol. 2(2):134–146; Vol. 3(3):47–60
role in policy formation, Vol. 3(1):31–52
selection bias, Vol. 1(2):54–55
transport during strikes, France, Vol. 1(3):43–51
travel surveys, Vol. 3(1):39–40, 43–51; Vol. 3(3):1–31
    arrival and departure times, Vol. 5(1):71–82
    behavior of home-based workers, Vol. 1(3):25–41
    measuring tourist vehicle travel, Vol. 5(2/3):83–90
trucking companies after the Northridge, California, earthquake, Vol. 1(2):39–47
truck drivers, Vol. 3(1):69–79
unregistered vehicles, Vol. 7(2/3):1–12
urban transport experts, Vol. 3(1):43–48
value of time data, Vol. 5(2/3):57–72

SUVs. See Light trucks

Sweden
accessibility measures, Jämtland, Vol. 4(2/3):83–89
crash statistics, Vol. 2(2):159–166
travel demand, Vol. 3(3):1–31

T

Telecommuters' travel behavior, Vol. 1(3):25–39

Telecommuting and Northridge earthquake, Vol. 1(2):35

Tennessee
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

Texas
El Paso, border economics, Vol. 7(1):7–21
estimation of origin-destination matrices, Vol. 5(2/3): 37–56
impacts of bypasses on communities, Vol. 5(1):57, 59, 60
link travel time, Vol. 7(2/3):53–70
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):68, 69, 72

Theil's U, Vol. 7(1):3, 16–19, 21

Time factors
allocation of time, Vol. 5(1):25–45
and accessibility, Vol. 4(2/3):59, 65
accidents on freeways, Vol. 2(2):123–131
arrival and departure times, travel survey, Vol. 5(1):71–82
budgets, Vol. 3(3):1–31; Vol. 5(1):73
bus fares, time-based, Vol. 1(1):50–61
commuters' activities, Vol. 5(2/3):20, 22–36
costs of traffic congestion, Vol. 2(2):123–130
freight travel time and reliability, Vol. 3(3):83–89
home-based workers, Vol. 1(3):25–41
long-haul and metropolitan freight, Vol. 3(3):83–89
light trucks and passenger cars, Vol. 3(3):56
space-time accessibility measures, Vol. 4(2/3):1–14
motor vehicle emissions, Vol. 3(2):76–79
Northridge earthquake, Vol. 1(2):13, 14, 32–34, 38–39, 47, 59–60, 67–72
roadway inventory data acquisition, Vol. 3(3):33, 43–44
traffic flows, Vol. 5(1):49–52, 55
traffic signals, Vol. 5(1):3–15, 18, 20, 49
transit strikes, France, Vol. 1(3):43–51
transit, time-based fares, Vol. 1(1):43–61
travel demand, country comparisons, Vol. 3(3):1–31
travel time, Vol. 7(2/3):53–70
    calculations, Vol. 5(2/3):43–45
value of time, Vol. 5(2/3):57–72

Time series analyses
forecasting traffic flows, Vol. 5(1):51
induced travel demand, Mid-Atlantic, Vol. 3(1):1–14
intervention analysis, Vol. 7(1):69–85
pooling forecasts, Vol. 7(1):87–101
structural, Vol. 7(1):69–85
transit costs, multiple serial correlation, Vol. 2(2):113–121

Tolls
demand elasticity, Vol. 6(2/3):91–108

Tourism, measuring vehicle travel, Vol. 5(2/3):83–90

Traffic congestion
aggregated time series analysis, Vol. 1(1):3
and air pollution, Vol. 3(2):85–101
and vehicle emissions, Vol. 3(2):85–101
controlling, Vol. 4(1):51–73
costs, Vol. 1(1):18; Vol. 2(2):123–130; Vol. 4(1):87–90, 99–100
dynamic modeling, Vol. 4(2/3):1–14
effects of road construction, Vol. 5(1):26, 33
flows, Vol. 5(1):3, 5, 60–61
    and driver behavior, Vol. 5(1):3
    forecasting, Vol. 5(1):47–56
impacts of bypasses on communities, Vol. 5(1):57–69
modeling, vol. 4(2/3):6–8
reducing, Vol. 4(1):51–73
Roadway Congestion Index, Vol. 3(2):19–20
study of urban congestion, Vol. 5(1):28
volume, Vol. 4(1):27–38; Vol. 5(1):5

Traffic management, monitoring, Vol. 3(3):69–80; Vol. 5(2/3):38; Vol. 7(2/3):74–86

Traffic safety, Vol. 6(1):33–57

Traffic volume
changes after Northridge earthquake, Vol. 1(2):1–20
estimating, Vol. 4(1):27–38; Vol. 6(1):59–69

Trains. See Railways

Transborder Surface Freight Database, Vol. 6(2/3):73–79

Transit. See Public transportation

Transportation indicators, Vol. 7(1):69–85

Transportation Output Index, Vol. 6(2/3):1–27

Transportation Satellite Accounts, Vol. 5(2/3):1–18

Travel behavior
accidents on freeways, Vol. 2(2):123–131
and parking, Vol. 2(1):99–102
commuters, Vol. 1(3):25–39
data, Vol. 5(1):28
home-based workers, Vol. 1(3):25–39
in personal transportation surveys, Vol. 2(1):1–17
space-time accessibility, Vol. 4(2/3):1–14
telecommuters, Vol. 1(3):25–39
travel time budgets, Vol. 3(3):1–31

Travel budgets, Vol. 3(3):1–31; Vol. 5(1):26, 32

Travel demand
based on commuters' activities, Vol. 5(2/3):19–20, 34
country comparisons, Vol. 3(3):1–31
economic impact of transportation, Vol. 3(1):15–30
elasticity, Vol. 1(1):1–14
estimation of, Vol. 5(2/3):37–56
induced travel demand, Vol. 3(1):1–14
international perspective, Vol. 3(3):1–31
management, Vol. 4(2/3):51–73
trip length, Vol. 1(1):43–57

Trip
duration, Vol. 6(1):17–32
generation, Vol. 6(1):1-16

Trip chaining, Vol. 5(1):27; Vol. 5(2/3):24, 33

Trucks/trucking, Vol. 1(2):42–43
accident risk analyses, Vol. 1(1) 75–92; Vol. 2(1) 20, 26; Vol. 3(1):69–79, 36–43
determinants of accidents, Vol. 3(1):69–79
disaster planning, Vol. 1(2):37–48
estimating truck traffic, Vol. 3(1):53–66
    methodology using automatic vehicle classification, Vol. 1(3):89–93
freight demand and mode choice, Vol. 2(2):149–158
hazardous materials shipments, Vol. 3(1):81–92
impact of Northridge earthquake, Vol. 1(2):37–48
light trucks
    accidents, Vol. 2(1):27, 36–43
    emissions, Vol. 3(2):49–63
    ownership and use, Vol. 3(3):47–60
long-haul freight, Vol. 3(3):83–89
metropolitan freight, Vol. 3(3):83–89
Northridge earthquake, Vol. 1(2):37–48, 57, 58
safety, Vol. 3(1):69–79
state-level commodity flows, Vol. 1(1):63–73
surveys of Los Angeles area trucking companies, Vol. 1(2):37–48

U

Uniform Vehicle Code, Vol. 7(2/3):72

United Kingdom
crash statistics, Vol. 2(2):159–166
elasticity studies of public transport, Vol. 1(1):1, 7, 10–12 (passim)

Urban areas
air pollution at intersections, Vol. 3(2):85–101
earthquakes, Vol. 1(2), 1–73
effect of speed limits on fatal accidents, Vol. 4(1):7–11
induced travel demand, Mid-Atlantic, Vol. 3(1):1–14
motor vehicle emissions, Vol. 3(2):15–28, 65–102
motor vehicle noise, Vol. 1(1):20–21, 23, 24, 33; Vol. 1(3):1–24
public transport fares, Vol. 1(1):43–62
speed monitoring, Vol. 3(3):72–81
transportation models, Vol. 3(1):31–52

Utah
land-use scenarios and transportation sketch planning, Wasatch Front, Vol 4(1):39–49
truck flows, Vol. 1(1):68, 69, 72

Utility-based surplus approach (accessibility modeling), Vol. 4(2/3):35

V

Vans. See Light trucks

Vehicle license fees. See Motor vehicles

Vehicle-miles of travel (VMT), Vol. 3(1):1–14
accidents, Vol. 1(1):76, 77, 80, 83, 84–88; Vol. 2(1):36–43
crash fatalities, Vol. 2(2):163–164
disabled persons, travel vouchers, Vol. 2(1):66–67
emissions and, Vol. 3(2):19, 39-47, 51–59, 67
general, Vol. 3(1):74–75, 78
hazardous materials, Vol. 3(1):87
households and businesses, Vol. 5(2/3):1–18
induced travel demand, Vol. 5(1):25, 27–28, 32, 36
    Mid-Atlantic, Vol. 3(1):1–14
light trucks and passenger cars, Vol. 3(3):47–60
local roads, Vol. 6(1):19–23, 29–31, 59–62, 67–68
measuring vehicle travel by visitors, Vol. 5(2/3):83–90
models, Vol. 3(3):50–51
motor vehicle ownership and use, 11, 17, Vol. 2(1):3–7
National Personal Transportation Survey, Vol. 2(1):1–17
noise, Vol. 1(3):5–6, 19
railways, European, efficiency/output, Vol. 3(3):61–68
social costs, Vol. 1(1):19, 27
speed and speed limits, Vol. 3(3):69–81
travel demand, Vol. 3(3):1–31 (passim)
truck accidents on freeway ramps, Vol. 1(1):76, 77, 80, 83, 84–88
truck traffic estimates, Vol. 1(3):90

Vehicle occupancy models, Vol. 3(3):53–54

Vehicle ownership
household, Vol. 2(1):1–17
equity of vehicle license fees by income, Vol. 2(2):135–140
equity of vehicle license fees by location, Vol. 2(2):140–143
light trucks and passenger cars, Vol. 3(3):47–60
models, Vol. 3(3):57–59

Vermont, truck flows, Vol. 1(1):67, 68, 69, 71, 72

Virginia
study of road capacity and VMT, Vol. 5(1):28
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72

VMT. See Vehicle-miles of travel

W

Walking, Vol. 4(2/3):67–68, 71–73, 74–75

Washington (state)
commodity inflows, Vol. 7(1):37
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):67, 69, 72

Washington, DC
study of road capacity and VMT, Vol. 5(1):28
truck accidents on freeway ramps, 75–92
truck flows, Vol. 1(1):64, 69, 72

Water pollution, motor vehicle use, Vol. 1(1):26, 30, 36, 37, 38

Water transportation
containerized cargo, Vol. 6(1):71–86
international freight, Vol. 7(2/3):93–97
vessel types, Vol. 7(2/3):97

West Germany, travel demand, Vol. 3(3):1–31

West Sussex, England, Vol. 5(1):51

West Virginia, truck flows, Vol. 1(1):69, 72

Wetlands, transportation's effects on, Vol. 2(1):48–50, 57

Wisconsin
impacts of bypasses on communities, Vol. 5(1):58
truck trips, Vol. 3(1):53–67
truck flows, Vol. 1(1):69, 72

Wyoming, truck flows, Vol. 1(1):68m 69, 72

Z

Zoning, parking management, Vol. 2(1):93–107