INDEX FOR VOLUME 8 *

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
Accidents. See also Safety
     ship loss, Vol. 8(2):31–42
     work zones, Vol. 8(2):71–86
Advanced Traveler Information Systems, Vol. 8(1):88–89
Air transportation
     aircraft
          degradation, Vol. 8(1):1–11
          mechanical failure, Vol. 8(1):1–11
          repair, Vol. 8(1):1–11
     airline employment, Vol. 8(1):107–109
     airport traffic forecasting, Vol. 8(1):13–22
     freight ton-miles, Vol. 8(1):23–36
     safety, Vol. 8(1):1–11
     schedule reliability, Vol. 8(1):1–11
     traffic at Swiss airports, Vol. 8(1):13–22
American Community Survey, Vol. 8(3):45–46, 48, 100, 101, 102, 106
American Travel Survey, Vol. 8(3):v, 72, 99, 100, 101, 102, 108
Artificial neural networks, Vol. 8(1):75–84
Australia
     travel surveys, Vol. 8(3):83–95
     Victorian Activity and Travel Survey, Vol. 8(3):106
Aviation. See Air transportation

B
Bayesian
     belief networks, Vol. 8(3):25–40
     updating, Vol. 8(3):88–95
Bayes theorem in travel surveys, Vol. 8(3):71–82
Bicycle mode share, Vol. 8(3):55, 57
Bootstrap methods, estimating mode share, Vol. 8(2):59–70
Buses, sampling and estimating passenger-miles, Vol. 8(2):87–100

C
Cargo. See also Freight
Classification and Regression Trees, Vol. 8(3):84–85
Classification tree application for total ship loss, Vol. 8(2):31–42
Commuting mode share, Vol. 8(3):41–53
Confidence intervals, estimating for mode share, Vol. 8(2):59–70; Vol. 8(3):1–24
Current Population Survey, Vol. 8(3):101, 102

D
Data
     quality, Vol. 8(3):1–23, 97–113
     transferability, Vol. 8(1):71–82
Drivers licenses, Vol. 8(3):15–20, 23
Dutch National Mobility Panel survey, Vol. 8(3):101, 107

E
Environment
     forecasting greenhouse gas emissions, Vol. 8(2):43–58
     greenhouse gas emissions, Vol. 8(2):43–58

F
Forecasting, Vol. 8(1)
     aircraft degradation, Vol. 8(1):1–11
     aircraft failure, Vol. 8(1):1–11
     air traffic, Vol. 8(1):13–22
     greenhouse gas emissions, Vol. 8(2):43–58

Stamp software, Vol. 8(1):13–22
Freight, estimates of ton-miles, Vol. 8(1):23–36
Fuzzy logic, Vol. 8(1):75–84

G
Generalized equation techniques
     binary, Vol. 8(1):85–101
     multinomial, Vol. 8(1):85–101
Geocoding, Vol. 8(2):1–15
Geographic information systems (GIS), Vol. 8(3):58–61
German Mobility Panel survey, Vol. 8(3):100, 101, 107
GIS. See Geographic information systems
Global positioning systems (GPS), Vol. 8(3):108–110, 111
Governors Highway Safety Associations, transportation planning, Vol. 8(1):57–74
GPS. See Global positioning systems
Greenhouse gas emissions, Vol. 8(2):43–58

H
Household Travel Survey for the Greater Metropolitan Region of Sydney, Australia, Vol. 8(3):100, 101

I
Israel, trip generation models, Vol. 8(1):37–56

J
Journey-to-work, Vol. 8(3):45

K
Kentucky, travel demand modeling, Vol. 8(3):71–82

L
Land-use and travel behavior, Vol. 8(3):25–40, 55–70
Louisiana, traveler characteristics, Vol. 8(3):83–95

M
Markov Condition, Vol. 8(3):28
Markov Chain Monte Carlo (MCMC), Vol. 8(3):29–31
Maryland, National Household Travel Survey 2001 add-on sample, Vol. 8(3):25–40, 55–70
MCMC. See Markov Chain Monte Carlo
Microsimulation, Vol. 8(3):83–95
Models
     aircraft failure, Vol. 8(1):7–11
     demand models, trip generation, Vol. 8(1):37–56
     discrete choice, Vol. 8(2):17–30
     fitted, Vol. 8(1):9–10
     goodness-of-fit, Vol. 8(1):63–74
     greenhouse gas emissions, Vol. 8(2):43–58
     Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET), Vol. 8(2):43–44, 50–51, 52, 53–54, 56, 58
     MARKAL-MACRO, Vol. 8(2):43–44, 47–48, 52–56
     MiniCAM, Vol. 8(2):43–44, 49–50, 52–54, 57–58
     National Energy Modeling System (NEMS), Vol. 8(2):43–47, 52–57
     network distance estimates, Vol. 8(2):1–15
     regression analysis for predicting aircraft failures, Vol. 8(1):8–9
     route choice, Vol. 8(1):85–101
     structural equation modeling of highway safety, Vol. 8(1):57–74
     Transitional Alternative Fuels and Vehicles (TAFV), Vol. 8(2):43–44, 51–54, 58
     Tobit, Vol. 8(1):37–56
     travel demand, Vol. 8(3):71–82
     trip distribution, Vol. 8(3):71–82
     trip generation, Vol. 8(1):37–56; Vol. 8(2):71–82
     vehicle breakdown duration, Vol. 8(1):75–84
Mode share, Vol. 8(2):59–70; Vol. 8(3):1–23, 41–53
Monte Carlo simulation
     mode share, Vol. 8(2):59–70
     travel survey data, Vol. 8(3):84, 85, 91–95
Motor vehicles
     breakdowns, Vol.8(1):75–84
     car-following patterns, Vol. 8(2):71–86

N
National Household Travel Survey, Vol. 8(3)
National Transit Database, Vol. 8(2):87–100; Vol. 8(3):42–45, 51
Nationwide Personal Transportation Survey (NPTS), Vol. 8(3):v, 1–24, 46–48
Neural networks, Vol. 8(1):75–84
New York, National Household Travel Survey 2001 add-on sample, Vol. 8(3):1–23
NHTS. See National Household Travel Survey
Norway
     measuring travel distances, Vol. 8(2):1–15
     Norwegian National Passenger Travel Survey, Vol. 8(2):1–15
NPTS. See Nationwide Personal Transportation Survey

O
Omnibus Household Survey, Vol. 8(3):46, 48–49

P
Passenger-miles of travel, Vol. 8(3):44–45, 51–52
Pipeline ton-miles, Vol. 8(1):23–36
Planning, Vol. 8(3):71–82
     policy, Vol. 8(1):57–74
Platooning in work zones, Vol. 8(2):71–86
Public transportation
     bus passenger-miles sampling and estimation, Vol. 8(2):87–100
     mode share, Vol. 8(3):41–53
     New York State mode share, Vol. 8(3):1–23
Puget Sound Transportation Panel survey, Vol. 8(3):101

R
Railway freight ton-miles, Vol. 8(1):23–36
Regression models
     linear, Vol. 8(3):55–70
     multinomial linear, Vol. 8(1):37–56
     Poisson, Vol. 8(3):55–70
Risk assessment, waterborne transportation, Vol. 8(2):31–42
Road rage, Vol. 8(3):vii

S
Safety, highways, Vol.8(1):57–74
Sampling, bus passenger-miles, Vol. 8(2):87–100
Stated choice experiments, Vol. 8(2):17–30
Surveys
     computer-assisted telephone interviews (CATI), Vol. 8(3):81, 91, 105, 108
     Confidential Information Protection and Statistical Efficiency Act of 2002 (CIPSEA), Vol. 8(3):99
     Current Population Survey, Vol. 8(3):101, 102
     Dutch National Mobility Panel survey, Vol. 8(3):101, 107
     emerging technologies, Vol. 8(3):97–113
     German Mobility Panel, Vol. 8(3):100, 101, 107
     global positioning systems (GPS) use, Vol. 8(3):108–110, 111
     Household Travel Survey for the Greater Metropolitan Region of Sydney, Australia, Vol. 8(3):100, 101
     journey-to-work, Vol. 8(3):45, 48
     methodology, Vol. 8(3):97–113
     mode share, Vol. 8(2):59–70
     National Household Travel Survey, Vol. 8(3)
     Nationwide Personal Transportation Survey (NPTS), Vol. 8(3):1–24, 46–48, 52, 83–95
     planning, Vol. 8(1):57–74
     Puget Sound Transportation Panel survey, Vol. 8(3):101
     travel surveys, Vol. 8(3)
     measuring travel distances, Vol. 8(2):1–15
     United Kingdom Travel Survey, Vol. 8(3):100, 101, 107
     Victorian Activity and Travel Survey (Australia), Vol. 8(3):106

Swiss National Travel Survey, Vol. 8(2):1–15
Switzerland
     air traffic at airports, Vol. 8(1):13–22
     measuring travel distances, Vol. 8(2):1–15

T
Texas traveler characteristics, Vol. 8(3):83–95
Time series analyses of air traffic forecasting, Vol. 8(1):13–22
Traffic congestion and travel time savings, Vol. 8(2):17–30
Traffic management of highway incidents, Vol. 8(1):75–84
Transportation Services Index (TSI), Vol. 8(2):109–111
Travel behavior
     and land use, Vol. 8(3):25–40, 55–70
     in personal transportation surveys, Vol. 8(3):25–40
     route choice, Vol. 8(1):85–101
     travel time savings, Vol. 8(2):17–30
Travel diaries, Vol. 8(2):1–15
Trips
     distribution, Vol. 8(3):71–82
     generation, Vol. 8(1):37–56; Vol. 8(2):71–82
     tours, Vol. 8(3):83–95
Trucks/trucking, freight ton-miles, Vol. 8(1):23–36
TSI. See Transportation Services Index

U
United Kingdom Travel Survey, Vol. 8(3):100, 101, 107
Utah traveler characteristics, Vol. 8(3):83–95

V
Vehicle Inventory and Use Survey (VIUS), Vol. 8(3):7–9, 22
Vehicle-miles of travel (VMT)
     public transportation, Vol. 8(3):1–5, 7–9, 42–45
     traffic count-based, Vol. 8(3):1–24
     travel behavior trends, Vol. 8(3):41–53
VIUS. See Vehicle Inventory and Use Survey
VMT. See Vehicle-miles of travel

W
Walking, mode share, Vol. 8(3):55–70
Water transportation
     freight ton-miles, Vol. 8(1):23–36
     risk assessment of ship loss, Vol. 8(2):31–42
Work zones, Vol. 8(2):71–86

* A complete index of all volumes of the journal is available online at www.bts.gov/jts