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1.
This paper presents a detailed exploratory analysis of joint activity participation characteristics using the American Time
Use Survey (ATUS). As a very large nationwide survey that explicitly elicited information on both household and non-household
companions for each activity episode, the ATUS is ideally suited for this analysis. Several intuitive and interesting results
are obtained. Joint episodes are found to be of longer durations, significantly likely to take place at the residence of other
people, and often confined to certain time periods of the weekday. In addition, important differences in these characteristics
are also observed based on activity purpose, companion type, and the day of the week. These findings are intended to provide
the basis for the justification of detailed collection of joint activity–travel participation information in household activity–travel
surveys, and also as a stimulant for further empirical analysis and modeling of joint activity participation behavior.
相似文献
Chandra R. BhatEmail: |
2.
Residential location,vehicle ownership and travel in Asia: a comparative analysis of Kei-Han-Shin and Kuala Lumpur metropolitan areas 总被引:1,自引:1,他引:0
The study examines the relationships between residential location, vehicle ownership and mobility in two metropolitan areas
of Asia, Kei-Han-Shin area of Japan and Kuala Lumpur area of Malaysia. It shows that, behind apparent similarities of household
auto ownership and travel time expenditure per household member, there are many causal relationships that are distinct between
the areas. The similarities and differences between the two areas point to the conjecture that the evolution of a metropolitan
area may be unique and path dependent, being heavily influenced by the history and culture of the locale, spatial and geographical
constraints, and historical progression in infrastructure development.
Metin Senbil is an Associate Professor in City and Regional Planning Department at Gazi University in Ankara, Turkey. He obtained the degree of Doctor of Engineering from Kyoto University, Japan. His research interests cover different aspects of urban travel demand and its interactions with telecommunications, land use, and policies directed at controlling as well as managing travel demand. Ryuichi Kitamura is Professor of Civil Engineering Systems at Kyoto University, Japan. His past research effort spans in the area of travel behavior analysis and demand forecasting, in particular in activity-based analysis, and panel surveys and dynamic analysis of travel behavior. He is associate editor of Transportation. Dr Jamilah Mohamad is Professor and Head of the Department of Geography, University of Malaya, Kuala Lumpur. Her main fields of research interest are travel behavior, the relationship between transport and spatial development and urban growth management. 相似文献
Jamilah MohamadEmail: |
Metin Senbil is an Associate Professor in City and Regional Planning Department at Gazi University in Ankara, Turkey. He obtained the degree of Doctor of Engineering from Kyoto University, Japan. His research interests cover different aspects of urban travel demand and its interactions with telecommunications, land use, and policies directed at controlling as well as managing travel demand. Ryuichi Kitamura is Professor of Civil Engineering Systems at Kyoto University, Japan. His past research effort spans in the area of travel behavior analysis and demand forecasting, in particular in activity-based analysis, and panel surveys and dynamic analysis of travel behavior. He is associate editor of Transportation. Dr Jamilah Mohamad is Professor and Head of the Department of Geography, University of Malaya, Kuala Lumpur. Her main fields of research interest are travel behavior, the relationship between transport and spatial development and urban growth management. 相似文献
3.
What neighborhood are you in? Empirical findings of relationships between household travel and neighborhood characteristics 总被引:1,自引:0,他引:1
In recent years, there have been studies of the influence of neighborhood or built environment characteristics on residential
location choice and household travel behavior. Interestingly, there is no uniform definition of neighborhood in the literature
and the definition is often vague. This paper presents an alternative way of defining neighborhood and neighborhood type,
which involves innovative usage of public data sources. Furthermore, the paper investigates the interaction between neighborhood
environment and household travel in the US. A neighborhood here is spatially identical to a census tract. A neighborhood type
identifies a group of neighborhoods with similar neighborhood socio-economic, demographic, and land use characteristics. This
is accomplished by performing log-likelihood clustering on the Census Transportation Planning Package (CTPP) 2000 data. Five
household travel measures, i.e., number of trips per household, mode share, average travel distance and time per trip, and
vehicle miles of travel (VMT), are then compared across the resulting 10 neighborhood types, using the 2001 National Household
Travel Survey (NHTS) household and trip files. It is found that household life cycle status and residential location are not
independent. Transit availability at place of residence tends to increase the transit mode share regardless of household automobile
ownership and income level, and job-housing trade-offs are evident when mobility is not of concern. The study also reveals
racial preference in residential location and contrasting travel characteristics among ethnic groups.
Dr. Jie Lin (Jane) is an assistant professor in Department of Civil and Materials Engineering and a researcher with the Institute for Environmental Science and Policy at University of Illinois at Chicago. Her research is focused on transportation demand analysis, data mining, and transportation sustainability in private, freight, and public transportation systems. Dr. Liang Long received a Doctorate degree in Civil Engineering from the University of Illinois at Chicago and a Master’s degree in Civil Engineering (Transportation Engineering) from Tongji University. She is currently with Cambridge Systematics as a transportation modeler with expertise in travel demand forecasting, geographic information systems (GIS) and market research. 相似文献
Liang LongEmail: |
Dr. Jie Lin (Jane) is an assistant professor in Department of Civil and Materials Engineering and a researcher with the Institute for Environmental Science and Policy at University of Illinois at Chicago. Her research is focused on transportation demand analysis, data mining, and transportation sustainability in private, freight, and public transportation systems. Dr. Liang Long received a Doctorate degree in Civil Engineering from the University of Illinois at Chicago and a Master’s degree in Civil Engineering (Transportation Engineering) from Tongji University. She is currently with Cambridge Systematics as a transportation modeler with expertise in travel demand forecasting, geographic information systems (GIS) and market research. 相似文献
4.
Over the past few years, GPS has been used in a number of surveys in the US to assess the accuracy of household travel surveys.
The results have been somewhat alarming in that most of these exercises have shown that the standard trip-based CATI survey
conducted in the US under-reports travel by about 20–25%. It was decided to use GPS to assess the accuracy of the Sydney Household
Travel Survey, a continuous survey conducted by face-to-face interviewing. The procedure used was for the interviewers to
recruit households for the household travel survey in the normal manner, and then, if the household met certain criteria,
to endeavour to recruit the household to also undertake a GPS survey. A small sample of about 50 households was obtained,
and GPS devices successfully retrieved that measured data on the same day as the travel diary was completed. In addition,
participants in the GPS survey completed a prompted recall survey a week or two later, using maps and tabulations of travel
obtained from the GPS devices, to identify mode, purpose and occupancy for trips measured by the GPS, and also to check for
accuracy in defining trip ends and total number of trips. Based on the analysis of the GPS compared to the diary results,
it was found that respondents under-reported their travel by about 7%, which is much less than in the US CATI results. Respondents
were also found to under-report travel distances and over-report travel times. There was also a high incidence of non-reporting
for VKT.
相似文献
Peter StopherEmail: |
5.
6.
Catherine Morency 《Transportation》2007,34(2):239-253
Ridesharing is quite a popular topic of discussion among transport authority personnel. It is perceived to be a viable alternative
to classical modes of transportation, and receives a great deal of political support from transport planners. However, not
much objective information is available on ridesharing behaviors. We use travel survey data to study the evolution of the
ridesharing market in an urban area. Our study is based on data from four large-scale OD surveys conducted in the Greater
Montreal Area (1987, 1993, 1998 and 2003).
In the latest survey conducted in Montreal, car passengers were asked to identify the driver who gave them the opportunity
to travel in this way. Their answers were classified according to the type of driver; for instance, a member of their household,
a neighbor or a co-worker. We use this information to calibrate a model matching car passengers and car drivers belonging
to the same household. This will be referred to as IHHR (intra-household ridesharing).
Preliminary results reveal that approximately 70% of all trips made by car passengers are the result of IHHR. Furthermore,
around 15% of those trips are questionable, in that they were exclusively generated for another individual’s purposes, consequently
generating an additional trip for the journey back home. Moreover, this percentage increased over time. Objective data regarding
ridesharing and its evolution in an urban area will undoubtedly help decision makers gain a clearer profile of this means
of travel and help to realign attitudes on the issue.
相似文献
Catherine MorencyEmail: |
7.
Understanding of the activity-travel patterns of children is becoming increasingly important to various policy makers. Further,
there is also a growing recognition that intra-household interactions need to be explicitly accommodated in travel models
for realistic forecasts and policy evaluation. In the light of these issues, this paper contributes towards an overall understanding
of the school-travel behavior of children and the related interdependencies among the travel patterns of parents and children.
An econometric model is formulated to simultaneously determine the choice of mode and the escorting person for children’s
travel to and from school. The 2000 San Francisco Bay Area Travel Survey (BATS) data are used in the model estimation process.
Empirical results indicate that the characteristics of child like age, gender, and ethnicity, and employment and work flexibility
characteristics of the parents have strong impacts on the mode choice decisions. In addition, the impacts of some of these
attributes on the choice of mode to school are different from the corresponding impacts on the choice of mode from school. The distance between home and school is found to strongly and negatively impact the choice of walking to and from
school, with the impact being stronger for walking to school. Several land-use and built-environment variables were explored,
but were found not to be statistically significant predictors.
相似文献
Sivaramakrishnan Srinivasan (Corresponding author)Email: |
8.
Modeling residential sorting effects to understand the impact of the built environment on commute mode choice 总被引:5,自引:2,他引:3
Abdul Rawoof Pinjari Ram M. Pendyala Chandra R. Bhat Paul A. Waddell 《Transportation》2007,34(5):557-573
This paper presents an examination of the significance of residential sorting or self selection effects in understanding the
impacts of the built environment on travel choices. Land use and transportation system attributes are often treated as exogenous
variables in models of travel behavior. Such models ignore the potential self selection processes that may be at play wherein
households and individuals choose to locate in areas or built environments that are consistent with their lifestyle and transportation
preferences, attitudes, and values. In this paper, a simultaneous model of residential location choice and commute mode choice
that accounts for both observed and unobserved taste variations that may contribute to residential self selection is estimated
on a survey sample extracted from the 2000 San Francisco Bay Area household travel survey. Model results show that both observed
and unobserved residential self selection effects do exist; however, even after accounting for these effects, it is found
that built environment attributes can indeed significantly impact commute mode choice behavior. The paper concludes with a
discussion of the implications of the model findings for policy planning.
相似文献
Paul A. WaddellEmail: |
9.
Analysis of household activity scheduling has to date been limited to one-day periods. This paper extends the study of household
task allocation to a one-week period. Using a one-week time use survey held under couples in The Netherlands in 2003, the
paper proposes indicators for measuring task allocation on a daily and weekly scale and investigates to what extent role expectations,
work status and indicators of time pressure influence task allocation patterns. The outcomes suggest that egalitarian role
expectations and higher female work status lead to a more balanced allocation of work and households tasks between spouses.
More traditional role views and increased time pressure lead to more specialisation and inequality between spouses. Interestingly,
households under time pressure apply day-to-day specialisation to arrive at balanced weekly allocation totals.
相似文献
Tanja van der LippeEmail: |
10.
Role of the built environment on mode choice decisions: additional evidence on the impact of density 总被引:5,自引:2,他引:3
Density is a key component in the recent surge of mixed-use neighborhood developments. Empirical research has shown an inconsistent
picture on the impact of density. In particular, it is unclear whether it is the density or the variables that go long with
density that affect people’s travel behavior. Many existing studies on density neglect confounding factors, for example, residential
self-selection, generalized travel cost, accessibility, and access to transit stations. In addition, most still use a single
trip as their observation unit, even though trip chaining is well recognized. The goal of this paper is to assess the role
of density in affecting mode choice decisions in home-based work tours, while controlling for confounding factors. Using the
dataset collected in the New York Metropolitan Region, we estimated a simultaneous two-equation system comprising two mutually
interacting dependent variables: car ownership and the propensity to use auto. The results confirm the role of density after
controlling for the confounding factors; in particular, employment density at work exerts more influence than residential
density at home. The study also demonstrates the importance of using tour as the analysis unit in mode choice decisions. The
study advances the field by analyzing the role of the built environment on home-based work tours. New knowledge is obtained
in the relative contribution of density vs. a set of correlated factors, including generalized travel cost, accessibility,
and access to transit stations.
Cynthia Chen is an Assistant Professor in Civil Engineering at City College of New York. Her research expertise and interests are residential location and activity and travel choices and human’s interaction with the environment. Hongmian Gong is an Associate Professor in Geography at Hunter College of the City University of New York. Her research interests are urban geography, urban transportation, and urban GIS. Robert Paaswell is currently Distinguished Professor of Civil Engineering and Director of the University Transportation Research Center at the City College of New York. He currently serves on several NY MTA Commissions. 相似文献
Robert PaaswellEmail: |
Cynthia Chen is an Assistant Professor in Civil Engineering at City College of New York. Her research expertise and interests are residential location and activity and travel choices and human’s interaction with the environment. Hongmian Gong is an Associate Professor in Geography at Hunter College of the City University of New York. Her research interests are urban geography, urban transportation, and urban GIS. Robert Paaswell is currently Distinguished Professor of Civil Engineering and Director of the University Transportation Research Center at the City College of New York. He currently serves on several NY MTA Commissions. 相似文献
11.
In most developed countries motorized transportation is the dominant form of travel for long and short journeys. Transport-related
physical activity (TPA), however, is advocated as an appropriate transport mode for traveling short distances. The purpose
of this study is to explore the associations between private automobile availability, overall physical activity levels, and
TPA engagement in the adult population. A population-representative telephone survey assessed socio-demographics, private
automobile availability, overall physical activity levels, and travel to place of work/study and the convenience shop with
an adult sample (n = 2,000) residing in North Shore City, Auckland, New Zealand in April 2005. The majority of respondents reported unrestricted
(80%) or frequent (12%) private automobile availability. After controlling for covariates, binary logistic regression analyses
revealed those with no private automobile available were less likely to be classified as sufficiently active for health benefits
when compared to respondents with unrestricted private automobile availability. However, this finding was based on a small
minority (4%). Also, those reporting no private automobile availability were more likely to walk or cycle to place of employment
and the convenience shop when compared to those with unrestricted private automobile availability. Similar to other self-report
travel and physical activity survey tools, the questionnaire used potentially did not adequately capture TPA engagement. Future
TPA research needs to incorporate objective measures to address this issue.
相似文献
Hannah M. BadlandEmail: |
12.
Mintesnot G. Woldeamanuel Rita Cyganski Angelika Schulz Andreas Justen 《Transportation》2009,36(4):371-387
For economic and environmental policy formulation and with the effort of creating less car dependent societies, it is important
to study the changing characteristics of car ownership in a household through time as well as factors responsible of these
variations. There is a vast body of literature on empirical studies of car ownership and use. These studies have investigated
the socio-economic background of the decision maker, the built environment and the perception associated with owning a car
as determinant factors of car ownership and use. In most cases, these analyses have been carried out using cross-sectional
data sets. However, the analysis of factors determining changes in travel behavior of an individual or household requires
information on their behavior over time (longitudinal data set). In this study, the German Mobility Panel (1996–2006) is used
to examine variation of car ownership through time and across households. The panel data modeling results showed that there
are variations of car ownership between households whereas changes in car ownership of a given household over time (within
household variations) are insignificant. The influence of other factors such as the households’ socio-economic background,
the availability of public transportation and shopping/leisure facilities, perception on parking difficulties and satisfaction
with existing public transportation services on the car owning characteristics of households is also presented and discussed
in this paper.
相似文献
Andreas JustenEmail: |
13.
Using latent class cluster analysis, this paper investigates the spatial, social, demographic, and economic determinants of
immigrants’ joint distribution among travel time, mode choice, and departure time for work using the 2000 Census long form
data. Through a latent tree structure analysis, age, residential location, immigration stage, gender, personal income, and
race are found to be the primary determinants in the workplace commute decision-making process. By defining several relatively
homogeneous population segments, the likelihood of falling into each segment is found to differ across age groups and geography,
with different indicators affecting each group differentially. This analysis complements past studies that used regression
models to investigate socio-demographic indicators and their impact on travel behavior in two distinct ways: (a) analysis
is done by considering travel time, mode choice, and departure time for work simultaneously, and (b) heterogeneity in behavior
is accounted for using methods that identify different groups of behavior and then their determinants. Conclusively the method
here is richer than many other methods used to study the ethnically diverse population of California and shows the addition
of geographic location and latent segment identification to greatly improve our understanding of specific behaviors. It also
provides evidence that immigrants are as diverse as the non-immigrant population and transportation policies need to be defined
accordingly.
相似文献
Konstadinos G. GouliasEmail: |
14.
This paper presents a comprehensive econometric modelling framework for daily activity program generation. It is for day-specific
activity program generations of a week-long time span. Activity types considered are 15 generic categories of non-skeletal
and flexible activities. Under the daily time budget and non-negativity of participation rate constraints, the models predict
optimal sets of frequencies of the activities under consideration (given the average duration of each activity type). The
daily time budget considers at-home basic needs and night sleep activities together as a composite activity. The concept of
composite activity ensures the dynamics and continuity of time allocation and activity/travel behaviour by encapsulating altogether
the activity types that are not of our direct interest in travel demand modelling. Workers’ total working hours (skeletal
activity and not a part of the non-skeletal activity time budget) are considered as a variable in the models to accommodate
the scheduling effects inside the generation model of non-skeletal activities. Incorporation of previous day’s total executed
activities as variables introduces day-to-day dynamics into the activity program generation models. The possibility of zero
frequency of any specific activity under consideration is ensured by the Kuhn-Tucker optimality conditions used for formulating
the model structure. Models use the concept of random utility maximization approach to derive activity program set. Estimations
of the empirical models are done using the 2002–2003 CHASE survey data set collected in Toronto.
相似文献
Eric J. MillerEmail: |
15.
This paper suggests using a proportional hazard model to predict personal income, for the purpose of imputing missing income
data in household travel surveys. The model has a hazard function that comprises two multiplicative components: (1) a non-parametric
baseline hazard function that is dependent only on the income level and (2) a function that is dependent only on the other
personal attributes of the survey respondents (excluding income). To estimate and validate the model, data is drawn from a
travel characteristics survey conducted in Hong Kong in year 2001. The model is found to have a much higher accuracy when
compared with a conventional ordered probit model based on the assumption that the logarithm of income is normally distributed.
C.·O. Tong is an Associate Professor at the Department of Civil Engineering, The University of Hong Kong. He received his B.Sc. (Eng.) degree from the University of Hong Kong, M.Sc. (Transportation Engineering) degree from Leeds University and Ph.D. degree from Monash University. His research interests are in transport demand modeling and dynamic network modeling. Jackie K. L. Lee worked as a Research Assistant at the Department of Civil Engineering, The University of Hong Kong during the period from March 2004 to April 2005. She received her B.Eng. and M.Eng. degrees in Civil Engineering from the Hong Kong Polytechnic University. She is a Chartered Engineer and is also Corporate Members of the Hong Kong Institution of Engineers and the Institution of Structural Engineers. 相似文献
C. O. TongEmail: |
C.·O. Tong is an Associate Professor at the Department of Civil Engineering, The University of Hong Kong. He received his B.Sc. (Eng.) degree from the University of Hong Kong, M.Sc. (Transportation Engineering) degree from Leeds University and Ph.D. degree from Monash University. His research interests are in transport demand modeling and dynamic network modeling. Jackie K. L. Lee worked as a Research Assistant at the Department of Civil Engineering, The University of Hong Kong during the period from March 2004 to April 2005. She received her B.Eng. and M.Eng. degrees in Civil Engineering from the Hong Kong Polytechnic University. She is a Chartered Engineer and is also Corporate Members of the Hong Kong Institution of Engineers and the Institution of Structural Engineers. 相似文献
16.
Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach 总被引:5,自引:2,他引:3
Suburban sprawl has been widely criticized for its contribution to auto dependence. Numerous studies have found that residents
in suburban neighborhoods drive more and walk less than their counterparts in traditional environments. However, most studies
confirm only an association between the built environment and travel behavior, and have yet to establish the predominant underlying
causal link: whether neighborhood design independently influences travel behavior or whether preferences for travel options
affect residential choice. That is, residential self-selection may be at work. A few studies have recently addressed the influence
of self-selection. However, our understanding of the causality issue is still immature. To address this issue, this study
took into account individuals’ self-selection by employing a quasi-longitudinal design and by controlling for residential
preferences and travel attitudes. In particular, using data collected from 547 movers currently living in four traditional
neighborhoods and four suburban neighborhoods in Northern California, we developed a structural equations model to investigate
the relationships among changes in the built environment, changes in auto ownership, and changes in travel behavior. The results
provide some encouragement that land-use policies designed to put residents closer to destinations and provide them with alternative
transportation options will actually lead to less driving and more walking.
Xinyu (Jason) Cao is a research fellow in the Upper Great Plains Transportation Institute at North Dakota State University. His research interests include the influences of land use on travel and physical activity, and transportation planning. Patricia L. Mokhtarian is a professor of Civil and Environmental Engineering, Chair of the interdisciplinary Transportation Technology and Policy graduate program, and Associate Director for Education of the Institute of Transportation Studies at the University of California, Davis. She specializes in the study of travel behavior. Susan L. Handy is a professor in the Department of Environmental Science and Policy and Director of the Sustainable Transportation Center at the University of California, Davis. Her research interests center around the relationships between transportation and land use, particularly the impact of neighborhood design on travel behavior. 相似文献
Susan L. HandyEmail: |
Xinyu (Jason) Cao is a research fellow in the Upper Great Plains Transportation Institute at North Dakota State University. His research interests include the influences of land use on travel and physical activity, and transportation planning. Patricia L. Mokhtarian is a professor of Civil and Environmental Engineering, Chair of the interdisciplinary Transportation Technology and Policy graduate program, and Associate Director for Education of the Institute of Transportation Studies at the University of California, Davis. She specializes in the study of travel behavior. Susan L. Handy is a professor in the Department of Environmental Science and Policy and Director of the Sustainable Transportation Center at the University of California, Davis. Her research interests center around the relationships between transportation and land use, particularly the impact of neighborhood design on travel behavior. 相似文献
17.
In this paper, we take an initial look at the spatial and temporal flexibility in the activity patterns of the so-called “baby-boomer”
cohort (born 1947–1966) in comparison with younger and older adults. Using a unique longitudinal survey carried in Quebec
City from 2002 to 2005, we explore activity patterns and trip rates over a seven-day observation period during the first wave,
and take a first look at some aspects of their evolution over two subsequent waves at about one-year intervals. We model the
propensity to undertake activities within selected conventional non-work classifications such as “shopping” and “leisure”,
and also according to respondents’ own perceptions of the spatial and temporal flexibility of each out-of-home activity that
they had executed. While we cannot strictly separate cohort effects from age-related effects, after controlling for gender
and household structure, we infer that age and related lifestyle effects dominate in explaining these propensities. However,
the boomers were the only age stratum to increase their total out-of-home activity participation over the course of the panel,
an intriguing starting point for the future study of this cohort.
Luis F. Miranda-Moreno has been recently appointed as Assistant Professor in the Department of Civil Engineering and Applied Mechanics at McGill University. His research focuses on travel behaviour, transportation safety and evaluation of sustainable transport strategies. Martin Lee-Gosselin recently retired as Full Professor at the Graduate School of Planning and CRAD, Université Laval, Québec, and is Visiting Professor at Imperial College London. His research interests are transport and telecommunications behaviour, survey methods, energy efficiency and the impacts of transport on the environment and public health. 相似文献
Martin Lee-GosselinEmail: |
Luis F. Miranda-Moreno has been recently appointed as Assistant Professor in the Department of Civil Engineering and Applied Mechanics at McGill University. His research focuses on travel behaviour, transportation safety and evaluation of sustainable transport strategies. Martin Lee-Gosselin recently retired as Full Professor at the Graduate School of Planning and CRAD, Université Laval, Québec, and is Visiting Professor at Imperial College London. His research interests are transport and telecommunications behaviour, survey methods, energy efficiency and the impacts of transport on the environment and public health. 相似文献
18.
Exploring spatial variety in patterns of activity-travel behaviour: initial results from the Toronto Travel-Activity Panel Survey (TTAPS) 总被引:1,自引:0,他引:1
Studies of urban travel behaviour typically focus on weekday activities and commuting. This is surprising given the rising
contribution of discretionary activities to daily travel that has occurred during the last few decades. Moreover, current
understanding of the relationship between travel behaviour and land use remains incomplete, with little research carried out
to explore spatial properties of activity-travel behaviour during the off-peak and weekend time periods. Weekend behaviours,
for example, influenced by the availability of time and the spatiotemporal distribution of “weekend” destinations, likely
produce spatially and temporally distinct activity-travel patterns. Using data from the first wave of the Toronto Travel-Activity
Panel Survey (TTAPS), this paper examines an area of research that has received little attention; namely, the presence of
spatial variety in activity-travel behaviour. The paper begins by looking at the extent to which individuals engage in spatially
repetitive location choices during the course of a single week. Area-based measures of geographical extent and activity dispersion
are then used to expose differences in weekday-to-weekend and day-to-day activity-travel patterns. Examination of unclassified
activities carried out over a 1 week period reveals a level of spatial repetition that does not materialise across activities
classified by type, travel mode, and planning strategy. Despite the inherent spatial flexibility offered by the personal automobile,
spatial repetition is also found to be surprisingly similar across travel modes. The results also indicate weekday-to-weekend,
and day-to-day fluctuations in spatial properties of individual activity-travel behaviour. These findings challenge the utility
of the short-run survey as an instrument for capturing archetypal patterns of spatial behaviour. In addition, the presence
of a weekday-to-weekend differential in spatial behaviour suggests that policies targeting weekday travel reduction could
have little impact on travel associated with weekend activities.
相似文献
Tarmo K. RemmelEmail: |
19.
This study explores the relationships between adoption and consideration of three travel-related strategy bundles (travel
maintaining/increasing, travel reducing, and major location/lifestyle change), linking them to a variety of explanatory variables.
The data for this study are the responses to a fourteen-page survey returned by nearly 1,300 commuting workers living in three
distinct San Francisco Bay area neighborhoods in May 1998. We first identified patterns of adoption and consideration among
the bundles, using pairwise correlation tests. The test results indicate that those who have adopted coping strategies continue
to seek for improvements across the spectrum of generalized cost, but perhaps most often repeating the consideration of a
previously-adopted bundle. Furthermore, we developed a multivariate probit model for individuals’ simultaneous consideration
of the three bundles. It is found that in addition to the previous adoption of the bundles, qualitative and quantitative Mobility-related
variables, Travel Attitudes, Personality, Lifestyle, Travel Liking, and Sociodemographics significantly affect individual
consideration of the strategy bundles. Overall, the results of this study give policy makers and planners insight into understanding
the dynamic nature of individuals’ responses to travel-related strategies, as well as differences between the responses to
congestion that are assumed by policy makers and those that are actually adopted by individuals.
Sangho Choo is a Research Associate at The Korea Transport Institute. His research interests include travel demand modeling, travel survey methods with GPS, and travel behavior modeling. Patricia L. Mokhtarian is a professor of Civil and Environmental Engineering, chair of the interdisciplinary Transportation Technology and Policy MS/PhD program, and Associate Director for Education of the Institute of Transportation Studies at the University of California, Davis. She has been modeling travel behavior and attitudes for more than 30 years. 相似文献
Patricia L. Mokhtarian (Corresponding author)Email: |
Sangho Choo is a Research Associate at The Korea Transport Institute. His research interests include travel demand modeling, travel survey methods with GPS, and travel behavior modeling. Patricia L. Mokhtarian is a professor of Civil and Environmental Engineering, chair of the interdisciplinary Transportation Technology and Policy MS/PhD program, and Associate Director for Education of the Institute of Transportation Studies at the University of California, Davis. She has been modeling travel behavior and attitudes for more than 30 years. 相似文献
20.
Children’s mode choice for the school trip: the role of distance and school location in walking to school 总被引:2,自引:0,他引:2
Noreen C. McDonald 《Transportation》2008,35(1):23-35
Rising levels of childhood obesity in the United States and a 75% decline in the proportion of children walking to school
in the past 30 years have focused attention on school travel. This paper uses data from the US Department of Transportation’s
2001 National Household Travel Survey to analyze the factors affecting mode choice for elementary and middle school children.
The analysis shows that walk travel time is the most policy-relevant factor affecting the decision to walk to school with
an estimated direct elasticity of −0.75. If policymakers want to increase walking rates, these findings suggest that current
policies, such as Safe Routes to School, which do not affect the spatial distribution of schools and residences will not be
enough to change travel behavior. The final part of the paper uses the mode choice model to test how a land use strategy—community
schools—might affect walking to school. The results show that community schools have the potential to increase walking rates
but would require large changes from current land use, school, and transportation planning practices.
Noreen C. McDonald is an Assistant Professor at the University of North Carolina at Chapel Hill. Her research focuses on how the environment affects children’s travel behavior. 相似文献
Noreen C. McDonaldEmail: |
Noreen C. McDonald is an Assistant Professor at the University of North Carolina at Chapel Hill. Her research focuses on how the environment affects children’s travel behavior. 相似文献