Give public transit a chance: A comparative analysis of competitive travel time in public transit modal share

Extensive research has found that people are more likely to choose the transport alternative which offers shorter travel time. But few studies approached the role of travel time across different transport alternatives and cities. This research assesses the influence of competitive travel time between car and public transit in public transit modal share for commute trips. São Paulo, New York, and Tokyo were selected to perform the analysis. A Fractional Logistic Regression in the binary form was drawn, and a competitive travel time index was calculated based on the Car/Public transit travel time ratio weighted by the number of the employed population at the origin and jobs at destinations in the absence of an Origin-Destination matrix. Findings suggest that, though car ownership was identified as the major factor, Car/Public transit travel time ratio is positively associated with the increase of public transit modal share. Furthermore, the Car/Public transit travel time ratio effect in public transit modal share consistently increases as people get increased access to cars.     

Spatial and temporal transferability of relationships between travel demand,trip cost and travel time

The paper draws together results from several major revealed preference (RP) and stated preference (SP) data sets, collected for large-scale disaggregate models and VTTS research, respectively, to comment on trends which appear in time and cost trading as between different time periods and different countries.     

Analysis of travel behavior in Arab communities in Israel: a comparison of household surveys

This paper analyzes the main characteristics of travel behavior by the Arab minority community in Israel and discusses two issues related to household travel surveys: data collection among minorities and under-reporting of mid-day trips.Household travel surveys are generally designed and conducted for the majority population and, therefore, lack a proper accounting of minorities and miss many of their less-frequent trips. An alternative approach to conducting household surveys is presented, with the aim of improving data quality for transportation planning. The survey was designed for and conducted in three Arab towns in Israel. The main improvement of the survey involves better interaction between interviewer and interviewee, which should materialize into a relaxed environment that allows for obtaining detailed, reliable results within a reasonable amount of time.The results of the survey employing the alternative approach were compared to a sub-sample of the same towns taken from a regional survey conducted by the regional planning agency at the same time. The paper presents simple statistics on the main variables for each survey. Significant differences are found in the two data sets, mostly regarding the frequency of less frequent, non-home-based trips. A plausible explanation for these differences relates to the more detailed and improved data collected in the new survey.     

The influence of neighborhood environment and household travel interactions on school travel behavior: an exploration using geographically-weighted models

Professional and popular interest in active school transportation (walking and cycling) is matched by an emerging literature on this topic. This paper explores school travel behavior of 11-year old children in Toronto, Canada. In particular, the effects of the neighborhood environment and caregiver-child travel interactions on travel mode choice were studied. Results indicate that the built environment near both home and school locations was associated with the odds of walking. However, predicted built environment effects were less accurate in some neighborhoods. Availability of adults at the time of school travel likely encouraged driving. School transportation interventions that broadly consider school and neighborhood-oriented policies and enable independent mobility may increase walking rates. Presence of spatial autocorrelation in the prevalence of walking suggests that more research is required to understand inter-household similarities in behaviors that are spatially structured.     

Trip making of older adults in Seoul: Differences in effects of personal and household characteristics by age group and trip purpose

Korea is experiencing a rapid increase in the number and proportion of the older population aged 65 and older. This study investigated personal and household characteristics affecting trip making of older adults (65 years and older) using data from the 2010 Household Travel Survey in Seoul. It was tested if the effects of characteristics were the same for the 65+ and the under 65 groups, and if the effects for older adults were the same for the 65–74 and the 75+ groups. Trips were also classified into mandatory and discretionary trips and models estimated for the 65+ group for those two trip purposes. The investigation was done with a heteroskedastic ordered logit model to account for age differences in unobserved variance.The analysis showed that the effects of personal and household characteristics on trip making varied significantly between the under 65 and 65+ groups, and between those 65–74 and those 75+. This further confirms the risk of viewing all older adults as similar to each other or to younger individuals. The study found heteroskedasticity due to age for the youngest (under 41) and the oldest (75+) groups but not for those 41–64-years-old.Specific results showed that men 65 or older have a lower probability of making more trips than women, especially mandatory trips, suggesting transportation policy needs to consider the genders differently. Having a driver's license and an automobile was linked to more trips for those 65–74 and for mandatory trips but not for those 75+ and not for discretionary trips of those 65+. Higher income was linked to more trips for older adults, especially mandatory trips.The results show the development of transport policies needs to consider the variance among the aged, such as gender, income, driving licensure and automobile ownership.     

The travel cost method and the economic value of leisure time

Recent estimates of high values for tourist related recreation USA amenity values indicate that allocation of basic water and terrestrial resources to recreation activities should be given precedence over conventional market oriented activities that often degrade or even extirpate the resource. We discuss at length the travel cost method (TCM), a survey based technique that quantifies the non‐market benefits of trips to recreation sites. The TCM has been cast in the role of an ‘umpire’ in recent resource allocation debates. Understanding the key role of the TCM in the debate will aid tourist agency officials throughout the world. This article is a U.S. Government work and is in the public domain in the U.S.A.     

Residential location and daily travel distances: the influence of trip purpose

This paper investigates the extent to which residential location influences daily distance travelled if travel purposes are differentiated. Statistical multilevel models are applied to Swedish National Travel Survey data from 2005–2006. Travel purposes are categorized by considering time–spatial constraints and hypothesized factors of personal freedom of choice. Results indicate that the influence of residential location on daily distance travelled is highly conditional on trip purpose in a nationwide Swedish context. Although statistically significant proportions of the variation in daily distance travelled to work, on service errands, and on weekdays were dependent on residential location, daily travel distances for leisure activities and on weekends varied greatly among people living in the same neighbourhood. From a policy perspective, these results suggest that measures intended to alter the built environment to reduce the volume of travel will be most efficient as regards work trips, while trips taken during free time are unlikely to be much affected. In addition, the multilevel models applied reveal several important interactions between the variation in travel distances across residential locations and individual characteristics of which researchers should be aware, especially when examining service trips.     

Role of user's socio-economic and travel characteristics in mode choice between city bus and informal transit services: Lessons from household surveys in Visakhapatnam,India

Informally operated paratransit or Intermediate Public Transport (IPT) systems provide demand responsive transit in many developing countries, often competing with formal public transport systems. Literature on the relative user characteristics of the two modes and their choice behaviour between the systems is limited. This article addresses the gap by presenting a methodology to derive a comprehensive understanding of socio-economic and travel demand characteristics of all transit users in a city. The household survey based data collection and analysis framework is demonstrated for the case of Visakhapatnam, a medium sized Indian city. The variables impacting users' choice between the formal and informal modes were derived through binary logistic regression. It was observed that gender, income and travel time have a significant influence on users' choice between the modes, with waiting time having the maximum impact on mode choice. Therefore, the high frequency services offered by paratransit attract users making shorter trips.     

Social inequalities in travel behaviour: trip distances in the context of residential self-selection and lifestyles

In recent years, the framework of ‘classical’ objective determinants of travel behaviour – such as transport systems, generalised travel costs, life situation and the built environment – has begun to make way for the introduction of subjective elements including attitudes, lifestyles, and location preferences. This paper presents findings from an empirical study of trip distances travelled for three purposes (work, maintenance, leisure). The study was conducted in the region of Cologne, and the analysis is based on structural equation modelling. The results indicate that, in general, neither lifestyles nor location preferences have a strong impact on trip distances, except for leisure activities: here lifestyle has the strongest impact of all variables studied. Maintenance trip distances are significantly affected by the spatial setting in which people live, indicating the relevance of the built environment for this travel segment.     

Changing trip behavior in a higher education institution: The role of parking fees

Higher education institutions are major trip-generating locations and the transportation to and from them has negative environmental influences. To discourage car owners from solo driving and encourage them to use more environmentally friendly travel modes, it is important to understand what factors influence their travel mode choice. Using a discrete choice model, we examined the motivations to leave the car at home, with and without parking fee. Besides parking fees, we examined the effects of other variables known to predict commuting choice, such as time and social discomfort, pro-environmental attitudes, reduced vehicle maintenance expenses and awareness of alternative commuting options. Results show that adding a parking fee not only increased the tendency to leave the car at home, it also influenced the relative weight given to the considerations that determine to leave the car at home. Specifically, after the introduction of a parking fee, the previously significant impacts of pro-environmental attitudes and social discomfort on leaving the car at home became non-significant, and the impacts of other, more instrumental factors (e.g., time discomfort, costs related to car ownership and maintenance, time wasted searching for a parking space and in traffic jams) which were insignificant beforehand, became the significant predictors. Parking fees were found to be effective and can change to accommodate different policies (revenue collection, pollution reduction, and students’ discomfort). The implications of such a study are the trade-off between monetary (parking fee) and non-monetary variables to accommodate more sustainable traffic management.     

Throwing space back in: a tale of Indian fishermen,ICT and travel behavior

A suite of agent-based models is designed seeking to replicate and expand the findings of a case study examining the effects of introducing cell phones in a regional fisheries market in southern India. The remote availability of market price information led to economic benefits but also longer average travel distances for the fishermen. Our work generalizes these findings, highlighting the role of space and developing scenarios that involve different configurations for the markets and different assumptions about information-gathering strategies. Here we focus on the development of the model as a tool for exploring behavioral adaptations of ICT-using, utility-oriented travelers in different spatio-temporal contexts.     

Users' satisfaction evolution of a metropolitan transit system in a context of economic downturn

As the worldwide financial crisis is directly connected to the transport sector, public transport systems become a central player to support economic recovery. Transit services are facing a number of challenges as a consequence of this severe crisis. However, each attribute characterizing transit services has evolved in a different manner, thereby raising some chances and opportunities at some specific areas. This study investigates the evolution of service quality on a metropolitan transit system under economic crisis conditions. We used data from three customer satisfaction surveys (2008, 2011, and 2014) conducted at the bus transit service of the metropolitan area of Granada (Spain). Principal component analysis (PCA) and structural equation modeling (SEM) approaches were applied. PCA results show that the attributes describing the service were grouped into two levels of dimensions according to their impact on users' overall satisfaction (Transport Service Factors and Comfort and Convenience Factors). Subsequently, following a competing model strategy, the existing relationships between users' satisfaction and perception of service quality dimensions were ascertained. Finally, three SEMs were calibrated, one for each year under study, and were subjected to a multigroup analysis to test for equivalence among the three models. The outcomes show that fare of the ticket has lost importance as the financial crisis has become more noticeable and that Transport Service Factors had lower influence and users' satisfaction in 2011, when downturn was more intense.     

Interdependences between household residential and car ownership behavior: a life history analysis

Once a transportation system is built or a land-use policy is carried out, it influences people’s travel behavior and their lives for a long time period. It is therefore important for policy makers to understand people’s decisions on travel behavior and lives over a longer time period. However, little has been known about the interdependences between life domains, especially over the life course (i.e., biographical interdependences) in the context of residential and car ownership behavior. To fill this gap, this study aims to clarify households’ biographical interdependences relating to residential and car ownership biographies by explicitly incorporating the influence of household structure and employment/education biographies. Biography is defined based on a general concept of mobility that indicates a change occurring in a life domain. For this purpose, a Web-based life history survey was conducted in November 2010 and 1000 households living in major Japanese cities provided valid data. Aggregate analysis and exhaustive CHAID analysis were carried out, focusing on the occurrence times of mobilities in each biography. Results confirm obvious two-way cause–effect relationships over the life course between residential and car ownership biographies that are further influenced by household structure and employment/education biographies. Especially, not only short-term but also long-term state dependence and future expectations within and across life domains are clarified. Household structure and employment/education biographies are found to be more influential on residential biography than car ownership biography. Though residential biography is seen to be more influential on car ownership biography, the other two biographies also play an important role in explaining the car ownership mobility decision. All these findings suggest the necessity of developing intra-domain and inter-domain biographical interdependence models with flexible structures that capture the influences of state dependence and future expectations over different time scales in the life course in a unified framework.     

The end of travel time matrices: Individual travel times in integrated land use/transport models

To reduce inaccuracies due to insufficient spatial resolution of models, it has been suggested to use smaller raster cells instead of larger zones. Increasing the number of zones, however, increases the size of a matrix to store travel times, called skim tables in transport modeling. Those become difficult to create, to store and to read, while most of the origin-destination pairs are calculated and stored but never used. At the same time, such approaches do not solve inaccuracies due to lack of temporal resolution. This paper analyzes the use of personalized travel times at the finest spatial resolution possible (at x/y coordinates) and a detailed temporal resolution for synthetic agents. The approach is tested in the context of an existing integrated land use/transport model (ILUT) where travel times affect, among others, household relocation decisions. In this paper, person-level individual travel times are compared to traditional skim-based travel times to identify the extent of errors caused by spatial and temporal aggregation and how they affect relocation decisions in the model. It was shown that skim-based travel times fail to capture the spatial and temporal variations of travel times available at a microscopic scale of an agent-based ILUT model. Skims may provide acceptable averages for car travel times if a dense network and small zones are used. Transit travel times, however, suffer from temporal and spatial aggregation of skims. When analyzing travel-time-dependent relocation decisions in the land use model, transit captive households tend to react more sensitively to the transit level of service when individual travel times are used. The findings add to the existing literature a quantification of spatial biases in ILUT models and present a novel approach to overcome them. The presented methodology eliminates the impact of the chosen zone system on model results, and thereby, avoids biases caused by the modifiable spatial unit problem.     

Expanding the positive utility of travel through weeklong tracking: Within-person and multi-environment variability of ideal travel time

Travel has been found to have a positive utility—often measured as a desire for non-zero travel time. Although past studies have found that desired travel time varies by trip attributes, they often focused on a single trip purpose (e.g., commute) or single time point (e.g., peak period of one day) and rarely captured variation within individuals and across multiple travel environments. To address these limitations, we employed a smartphone-based travel behavior survey of 186 users making 4397 trips in the Washington, DC, and Blacksburg, VA metropolitan areas. For each user, multiple trips were recorded and the user was asked to repeatedly report on the ideal travel time for each trip. We found that desired travel time varied across different trip environmental characteristics and purposes. Ideal travel time was longer for active travel trips, leisure trips, weekend trips, and when the user conducted activities during trips (e.g., talking, using the phone, looking at the landscape) and traveled with companions. Our study suggests the need for more realistic estimation of the value of travel time savings and the need for quantifying the effect of multitasking during travel on people's willingness to reduce travel time. Practitioners should also consider providing better urban infrastructure for pedestrians and bicyclists to fulfill their trips, as their ideal travel times closely match actual travel times.     

Urban rail transit PPPs: Survey and risk assessment of recent strategies

The proliferation of urban rail transit public–private partnerships (PPPs) in Latin America and Southeast Asia is a recent phenomenon. This paper first reviews the theoretical literature on the public procurement versus PPP decision in the context of rail transit and assesses the risks involved in entering these partnerships. The urban rail transit PPP approaches adopted in Bangkok, Kuala Lumpur, Buenos Aires, Rio de Janeiro, Singapore, Hong Kong, and London are described and classified into four broad approaches: (i) the development of new systems through Design-Build-Finance-Operate (DBFO), (ii) the concessioning of rail and subway services, (iii) the sale of state-owned operators through share issue privatization, and (iv) PPPs for infrastructure maintenance and upgrading. The different risk allocation strategies adopted under each of the above approach are analyzed for the extent to which they correspond to the theoretical recommendations. The concluding section provides a summary of the trade-offs that policy makers make when deciding between alternative strategies.     

Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai,China

In recent years, dockless bike-sharing has rapidly emerged in many cities all over the world, which provides a flexible tool for short-distance trips and interchange between different modes of transport. However, new problems have arisen with the fast and extensive development of the dockless bike-sharing system, such as high running expenses, ineffective bike repositioning, parking problems and so on. To improve the operations of the dockless bike-sharing system, this study aims to investigate the travel pattern and trip purpose of the bike-sharing users by combining bike-sharing data and points of interest (POIs). A massive amount of bike-sharing trips was obtained from the Mobike company, which is a bike-sharing operator in China. The POIs surrounding each trip origin and destination were derived from the Gaode Map application programming interface. K-means++ clustering was adopted to investigate dockless bike-sharing travel patterns and trip purpose based on trip records and their surrounding POIs. The clustering results show that on weekdays, bike-sharing trip origin and destination can be divided into five typical groups, i.e., dining, transportation, shopping, work and residential places. Dining is the most popular trip purpose by bike-sharing, followed by the transferring to other transportation modes and shopping. In addition, through understanding the spatial distribution of the bike-sharing usage patterns of five typical activities, strategies for improving the operation of the dockless bike-sharing system are provided.     

Exploring heterogeneity in travel time expenditure of aging populations in the Netherlands: results of a CHAID analysis

The aim of this paper is to contribute to the increasing literature on travel behavior and time use of the elderly. The Dutch National Travel Survey, administered in 2009, was used as a data source. First, various facets of activity-travel patterns of the elderly were compared against overall sample averages. Results indicate that the new generation of elderly people do not differ that much from other age groups in terms of their activity-travel behavior. Differences in behavior can be largely understood in terms of constraints acting on agendas. Moreover, travel patterns of elderly are affected by socio-demographic variables. Second, to further qualify the average findings, the Chi-square automatic interaction detection (CHAID) method was applied to explore heterogeneity among the elderly in terms of travel time expenditure. It is analyzed how differences in travel time co-vary with socio-demographics, in addition to activity type, activity duration and travel aspects. The results suggest that the aging population can be systematically broken down into several homogeneous cohort segments. Travel time of elderly groups depends significantly on transport modes, travel motivation, and seven socio-demographic variables (gender, age, living environment, personal net-income, household size and season). Moreover, there is less heterogeneity in travel time of elderly who are older than 75 years old. However, for younger elderly people, especially the group aged from 65 to 74 years old, heterogeneity affects their travel.     

Safety and travel time in cost-benefit analysis: A sensitivity analysis for North Rhine-Westphalia

Decisions on large-scale infrastructure concepts are frequently based on cost benefit analysis (CBA). Using 431 road projects evaluated in the integrated transport planning process in North Rhine-Westphalia, Germany (IGVP NRW) this paper examines the evaluation dimensions traffic safety (fatalities) and travel time in private passenger transport. The unit values of traffic fatalities and travel time are varied, and the effects of the variations on the rank order of the projects are examined. Target conflicts between safety and travel time are studied as well as the contribution of these two dimensions to the total benefit values. The sensitivity analysis shows that the evaluation results are fairly stable against variations in unit values of travel time and fatalities. The relevance of traffic safety in terms of its contribution to total benefit as well as in terms of the unit value appears to be relatively minor. The unit value of travel time is higher than that of lifetime. Some projects turn out as feasible in the evaluation even though they are likely to increase the number of fatalities. The paper therefore suggests the higher weighting of traffic safety in CBA.     

Accessibility,mobility, and realized travel behavior: Assessing transport disadvantage from a policy perspective

Limited accessibility and mobility can result in decreased quality of life and well-being, as well as social exclusion. In the United States (U.S.), rural and small urban communities suffer from transport disadvantage due to a lack of transit and a low density of employment, education, recreation, and other opportunities. While the international literature has produced a number of methods and frameworks to assess transport disadvantage and its impacts, the U.S. has lagged behind in providing pertinent studies. The objective of this paper is to establish comprehensive measures that can support the identification, evaluation, and quantification of transport disadvantage in U.S. rural and small urban communities, considering both data availability and the unique characteristics of the U.S. The concept of transport disadvantage in this paper denotes the disadvantage of a specific population group or area that results from a difficulty accessing transportation and/or opportunities. To achieve this objective, this paper develops a spatial multi-perspective approach to account for the three essential elements of transport disadvantage: accessibility, mobility, and realized travel behavior.The developed approach provides an assessment of transport needs and need gaps that can be of benefit to small urban and rural communities and their planning practices, as well as to transport providers. The analysis in this paper suggests that—from a policy perspective—a combination of measures that account for all three essential elements of transport disadvantage should be considered, because the results of each measure complement those of the others. This paper illustrates the proposed approach using a case study of Indiana. The findings suggest that a great part of rural and small urban Indiana presents a low density of opportunities and that transport-disadvantaged residents of such areas might experience the impacts of low transit supply as well. In addition, the findings suggest that residents of rural and small urban areas travel longer distances on their day-to-day activities.This paper attempts to advance the national research pertaining to transport disadvantage and provide a framework that can support planning and policy decisions at the community as well as at the state level.