 |
Journal of Transportation and Statistics
Complete Index (for Vols. 1–5)
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
trucks, Vol. 1(1):75–91
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
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
Air pollution, Vol. 3(2):1–102
air quality assessment, Vol. 3(2):85–101
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
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
urban areas, Vol. 3(2):15–28, 65–102
Air transportation statistics, Vol. 2(1):71–92
infrastructure needs, Vol. 2(1):78–79, 84–85
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
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
B
Bayesian approach, Vol. 4(1):27–38; Vol. 5(1):6, 13–14, 24, 77, 82
Bayes theorem, estimating traffic volume, Vol. 4(1):27–38
Belgium
crash statistics, Vol. 2(2):159–166
travel demand, Vol. 3(3):7
Bicycling, accessibility and, Vol. 4(2/3):67–68, 73, 74–75
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):
speed limit changes and fatal highway crashes, Vol. 4(1):13–15, 25
Bridge improvements, Vol. 1(3):65–78
Bronx, New York, Vol. 4(1):51–53
Buses, Vol. 1(2):4, 7, 11; Vol. 4(2/3):79–90. See also
Public transit
noise pollution, Vol. 1(3):10–11
C
California
Northridge earthquake, Vol. 1(1):v–73
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
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 transportation
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
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
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
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
Commuting
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
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
economic costs of motor vehicle crashes,
Vol. 2(1):23–32, 36–43
fatalities, Vol. 2(2):159–166
effect of speed limits, Vol. 4(1):1–26
international statistics, Vol. 2(2):159–166
types, Vol. 2(1):22, 27–32, 36–43
CTPP. See Census Transportation Planning Package
Commuter survey, Northridge, California, earthquake, Vol. 1(2):13–15, 31–33
D
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
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
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
modeling impacts of bypasses on communities,
Vol. 5(1):59
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
System of National Accounts, Vol. 1(1):93–102
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
fares for urban passenger transport, Vol. 1(:1):43–61
modal choice, Vol. 2(2):156–157
parking prices, Vol. 2(1):1-3
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
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
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
air transportation supply and demand,
Vol. 2(1):76–77, 82–83
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
demand and mode choice, Vol. 2(2):149–158
rail, Vol. 4(1):75–79
shipper surveys, Vol. 3(3):83–89
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)
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
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
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
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
Highways
capacity, Vol 5(1):25–45
congestion and delays, Vol. 2(2):123–130
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
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
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
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):69, 72
Income, and equity of vehicle license fees,
Vol. 2(2):133–147
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(2/3):83
improvements and safety, Vol. 3(1):81, 83, 90–91
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
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
neighborhood accessibility, Vol. 4(2/3):67-78
Least squares estimation
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
vehicle type by driver, Vol. 3(3):56–58parking and travel behavior, Vol. 2(1):95
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
Maine, truck flows, Vol. 1(1):67, 69, 71, 72
Maintenance and repair, pollutant emissions,
Vol. 3(2):6, 16, 92
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
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, freight imported from Mexico into 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
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
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
binomial regression, person-trips, Vol. 3(3):51–53
Box-Jenkins ARIMA time series, Vol. 4(1):13–15
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
discrete choice, Vol. 2(2):150
disaggregated choice, Vol. 1(1):1
dynamic congestion, Vol. 4(2/3):6–8
econometric model, 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
goodness-of-fit, Vol. 5(1):48–49, 55
gravity, freight, Vol. 3(1):63–64
heteroskedastic extreme value choice,
Vol. 1(1):43, 46–47
input-output
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
long-term memory, forecasting traffic flows,
Vol. 5(1):51
MOBILE6 (Mobile Source Emissions Factor Model) vehicle emissions, Vol. 3(2):39–47
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
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, 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
probit
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 (SCPM),
Vol. 1(2):21–35
spatial allocation, Vol. 1(2):21–35
statistical modeling of arrival and departure times,
Vol. 5(1):71–82
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
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
Motorcycles
crashes, Vol. 2(1):19, 22, 25, 26, 29–31, 33, 36–43; Vol. 2(1):36–43; Vol. 2(2):164
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
crashes, Vol. 1(1):20, 22–23, 27, 33; Vol. 2(1):19–43; Vol. 2(2):123–131,
159–166
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
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
Naïve model, forecasting traffic flows, Vol. 5(1):51–52
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 Household Travel Survey, Vol. 5(2/3):89–90
National Maximum Speed Limit, Vol. 3(3):69–81;
Vol. 4(1):2, 3, 16, 18
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
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 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
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
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
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
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
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
Portland, Oregon, sidewalk inventory, Vol. 4(2/3):74–75
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. See Transit
R
Railways
Car Waybill Sample, Vol. 4(1):76, 79
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
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
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
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
hazardous materials, rail and truck shipments,
Vol. 3(1):81–92
rail, Vol. 3(1):81–92
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
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
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
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
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 (SCPM),
Vol. 1(2):21–35
South Dakota, truck flows, Vol. 1(1):67, 69, 72
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
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
effect of highway speed limits on fatalities,
Vol. 4(1):1–26
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
monitoring in traffic management, Vol. 3(3):69–80
noise level and, Vol. 1(3):6, 10, 11, 19–20
personal transportation surveys, Vol. 1(3):58
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
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
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
estimation of origin-destination matrices,
Vol. 5(2/3):37–56
impacts of bypasses on communities, Vol. 5(1):57, 59, 60
time-use behavior model, Vol. 5(1):39
truck flows, Vol. 1(1):68, 69, 72
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 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
transit costs, multiple serial correlation,
Vol. 2(2):113–121
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
Traffic volume
changes after Northridge earthquake, Vol. 1(2):1–20
estimating, Vol. 4(1):27–38
Trains. See Railways
Transit, 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
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
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 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
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
measuring vehicle travel by visitors, Vol. 5(2/3):83–90
models, Vol. 3(3):50–51
motor vehicle ownership and use,
Vol. 2(1):3–7, 11, 17,
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)
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
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
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