Disentangling the behavioural side of the first and last mile problem: the role of modality style and the built environment

The first and last mile (FLM) problem, namely the poor connection between trip origins or destination and public transport stations, is a significant obstacle to sustainable transportation as it is likely to encourage the use of cars for FLM travel, if not for the entire trip. This study examines the role of modality style and built environment in FLM mode choice behaviour, in order to identify the key features that might invoke a travel mode shift from cars to more sustainable travel options for both mandatory and discretionary trips. More specifically, this study draws on disaggregate data from the South East Queensland household travel survey and presents a latent class choice model to unravel modality style groups. Results reveal two distinct individual-level modality style groups: (1) driving and walking oriented; (2) multimodal travellers. Individuals in the second modality style group were found to be relatively inelastic to FLM travel time for mandatory trips, while individuals in the first group were largely unaffected by built environment characteristics and highly habitual in their mode choice behaviour for both mandatory and discretionary trips. Home residence environments with high road intersection density and public transport accessibility, and home residence environments with diverse land use mix, respectively encourage individuals within the second modality style to walk for mandatory trips, and discretionary trips. To this end, when place-based policies seek to change certain built environment features, individuals in the second modality style are more likely to shift their preference from cars to more sustainable modes. Finally, our findings have practical planning implications in targeting mode shift through highlighting the importance of considering the intersection of individual modality style in a given locale and mode choice behaviour. More specifically, our findings advocate for place-based policies that seek to target particular locales with the certain modality style deemed to be more predisposed to adopting a mode shift.     

Determinants of sustainable mode choice in different socio-cultural contexts: A comparison of Rome and San Francisco

This paper is a part two of a study investigating the relative importance of the built environment, socio-demographic, and attitudinal factors on mode choice. A semi-experimental approach that aims to measure causal effects of the built environment is utilized. This paper reports spatial analysis, survey and modeling results for San Francisco, CA, USA and compares the results with a previous similar study in Rome, Italy. Results reveal that the local street network's integration is important in both cities and that in both cases built environment seems to have higher impact on mode choice than attitudes and socio-demographic factors. Built environment is especially impactful when diversity, design quality, density and syntactical accessibility are combined. In San Francisco willingness to spend time walking, biking or taking transit is lower than in Rome, and residents are more sensitive to concerns about safety and security. Work travel is more affected by demographic and attitudinal factors in San Francisco than in Rome implying that in San Francisco, nonwork travel behavior may have slightly higher potential to respond positively to improvements in the built environment than work trips. In Rome, peer pressure, cost sensitivity, and probiking attitude can compensate for lack of some built environmental characteristics, but not in San Francisco, where only protransit attitude has this effect. Moreover, lack of any built environmental characteristics reduces the possibility of sustainable mode choice more dramatically in San Francisco pointing to the higher importance of investments on improving the built environment rather than marketing efforts to change attitudes.     

Heterogeneous effects of neighborhood type on commute mode choice: An exploration of residential dissonance in the Twin Cities

Many studies have measured residential and travel preferences to address residential self-selection and they often focused on the average or independent effect of the built environment on travel behavior. However, individuals' behavioral responses to built environment interventions may vary by their different tastes. Using the 2011 data from the Minneapolis–St. Paul metropolitan area, this study examines the influences of neighborhood type, travel attitudes, and their interaction terms on commute mode choice. The interactions between neighborhood type and travel attitudes have no significant impact on driving commute frequency whereas the effects of neighborhood type on the propensity for transit commute differ by transit preference. Specifically, urban consonants (including those in LRT neighborhoods) have the highest propensity for transit commute, followed by suburban dissonants, urban dissonants, and then suburban consonants. Therefore, individuals' heterogeneous responses to built environment elements should be taken into account in future research and in the design of land use and transportation policies aiming to shape urban travel.     

The indirect effect of the built environment on travel mode choice: A focus on recent movers

Many studies have demonstrated that the built environment has a strong impact on people's travel mode choice. However, the built environment also influences elements such as travel distance and car ownership, which might be the true predictors of which travel modes are chosen. In this study, we analyse the effects of changes in residential neighbourhood on changes in travel mode (for commute trips and leisure trips), both directly and indirectly through changes in car ownership, travel distances and travel attitudes. This study applies a structural equation modelling approach using quasi-longitudinal data from 1650 recently relocated residents in the city of Ghent, Belgium. Results indicate that the built environment has strong direct effects on active leisure trips and car use. However, distance (for car use) and attitudes (for active travel) were found to be important mediating variables. In sum, the effect of the built environment on travel mode choice might be more complex than commonly assumed as it partly seems mediated by travel distance and travel attitudes.     

School travel mode choice in Beijing,China

This study explores school travel mode choice behavior of 7–18 year-old students in Beijing, China, based on the data collected in Fifth Travel Survey of Beijing Inhabitants. The integration of tree-based and logit-based models is employed to examine the influence of key variables on school travel mode choice. In particular, the tree-based model is used to preliminarily select the traits which have a statistical effect on mode choice, and the logit-based model is used to provide deeper understanding of the underlying decision processes and the correlation effects of the variables. Results show that car ownership, poor walking/cycling environment, and adults' convenience for escorting students significantly stimulate the use of cars in school commuting. Students are more inclined to choose cars when their departure time is at rush hour compared to the other time. Moreover, the longer distance encourages the use of motorized transport, where the households with local hukou (usually related to the car ownership and other welfares) are more willing to drive their children to school. A number of recommendations on car restraint, sustainable travel environment improvement, different working hour implementing, and educational resources layout for the encouragement and promotion of sustainable travel practices are lastly proposed.     

Children's school commuting in the Netherlands: Does it matter how urban form is incorporated in mode choice models?

Walking and cycling to school is environmentally sustainable and increases children's physical activity. Although it is known that the built environment influences children's travel behavior, there is scant knowledge of how urban form along children's commuting routes affects walking and cycling separately, or of how to incorporate urban form exposures in transport mode choice models. This research investigated (a) the associations between children's transport mode choice and urban form correlates en route, and (b) the consequences of different urban form operationalizations (i.e., individual variables, composite measure, and principal components [PCs]). Global Positioning System devices were used to track 623 trips to and from school made by Dutch children aged 6–11 years. Urban form exposures were derived with geographic information systems, and their relationships with mode choice were tested with mixed multinomial logit models in a cross-sectional research design. Differences between the number of associated urban form variables, their magnitudes, and their significance levels were found for both walking and cycling, independent of the operationalization. Urban form was most influential for walking, whereas distance-related effects were absorbed when modeled as PCs. The highest model fit was achieved through PCs; the composite measure resulted in the lowest fit. To maximize the effectiveness of planning and health interventions, walking and cycling must be targeted separately. Policymakers should avoid “one-fits-all policies,” which are deemed to be inefficient. Because urban form affects model interpretation and fit, careful attention should be paid to how urban form is modeled, and sensitivity analyses should be performed.     

What drives sustainable student travel? Mode choice determinants in the Greater Toronto Area

Examination of mode choice behavior is an important step in accurately predicting future travel demand. Despite having somewhat unique travel needs and challenges, there is a lack of knowledge in understanding the mode use behavior of university student population. The existing studies on university populations relied on a relatively smaller sample in investigating the behavior. Therefore, using world's largest university student's travel database, this study examines the factors affecting the mode choice behavior of a diverse university student population with student samples from four universities and their seven campuses located across the Greater Toronto Area (GTA) in Canada. Additionally, stratifying this diverse population using their attitudinal responses towards numerous travel modes, this study also estimates three additional mode choice models to obtain a more comprehensive understanding of how students in different markets, with different latent attitudes towards transportation, vary in terms of sustainable mode choice. A cluster analysis based on fourteen attitudinal responses, was conducted to stratify the sample whereas the popular multinomial logit approach was used to estimate the mode choice models. This study finds transit pass and bike ownership as important determinants that govern sustainable mode choice among the students in the region. The findings of this study could facilitate the sustainability offices at the four universities in making an informed policy decision in shifting the mode use behavior of students towards sustainable modes.     

Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan

China has entered a stage in which new rural construction and urbanization are rapidly developing. Considerable changes are occurring in rural China, and the built environment is different from that in the past; such difference directly influences the travel mode choice of rural residents. However, our knowledge on how the rural built environment influences the travel mode choice of rural residents in China remains limited. To fill this gap, this study combines on-site measurement methods, geographic information system (GIS) technology, and activity diary survey to obtain basic data regarding the built environment and the daily activities of rural residents. The multinomial logit (MNL) model is used to explore the relationship between the rural built environment and the travel mode choice of rural residents. Results show that building density significantly positively affects private car trips. This finding challenges earlier urban built environment research due to the considerable gap between rural and urban areas. An increase in road density increases the travel frequency of electric bicycles and motorcycles. Accessibility perception and preferences positively affect the probability of choosing to walk. Safety and neighborhood harmony perception positively affect the travel frequency of motorcycles and private cars. Rural residents who prefer a safe living environment are likely to choose walking for their daily travel. Despite the considerable achievements in the construction of rural roads, the frequency of public transportation remains low for rural residents. Therefore, additional attention should be given to the investment and construction of public transport facilities during rural urbanization.     

Do travel options influence how commute time satisfaction relates to the residential built environment?

Although previous studies have explored how satisfied people are with their travel, the link with the built environment and available travel options is unclear. This research investigates whether travel options influence how commute time satisfaction relates to the built environment. First, profiles among commuters in terms of commute time satisfaction (CTS) and residential built environment (RBE) were identified by performing a cluster analysis using a large European sample with the European Union Statistics on Income and Living Conditions (EU-SILC) 2013 survey. Following, whether travel options (mode availability) could inform differences among CTS-RBE profiles was investigated, while accounting for neighborhood characteristics and satisfaction with life and life domains, by performing logistic regression analyses. Travel options were found to indicate CTS-RBE profiles. This research supports the idea that travel options can affect the CTS-RBE relationship, and can therefore be useful to measuring and correcting travel option unavailability or travel captivity. The contributions of this study to the travel behavior field, in addition to being the first study to examine CTS, is important to urban planning and policy to not only identify the places in which travel options can be improved, but for whom.     

Built for active travel? Investigating the contextual effects of the built environment on transportation mode choice

The study investigates the role of the built environment attributes and their contextual effects on travel behaviour. The study utilized a dataset of 4739 respondents elicited from an online survey distributed in Hamilton City, Canada. A Nested Logit (NL) model and a quadratic polynomial trend surface are employed to spatially investigate the determinants influencing mode choice behaviour. The study contributes to our understanding of how geography moderates the impact of built environment attributes on mode choice behaviour. Socioeconomic demographics are found to play a pivotal role in explaining Hamiltonians' mode choice behaviour. For built environment attributes, sidewalk density is positively associated with walking and public transit use. Moreover, bike lane density is positively associated with biking and negatively associated with public transit use. Regarding land-use entropy (mix), the results show that high land-use entropy is negatively associated with choosing the car as a passenger travel mode. From a contextual perspective, the results affirmed that the influence of built environment attributes is not equally efficacious across the city. Improving the built environment attributes across the city reveals a substantial increase in walking and biking while decreasing the probability of choosing other modes. However, it is noteworthy to mention that the influence of improving the built environment is not homogeneous over geography.     

The multiplicity of self-selection: What do travel attitudes influence first,residential location or work place?

Residential self-selection has been widely considered as an important issue in quantifying the impacts of the residential built environment on travel behavior and much empirical evidence regarding the nature and magnitude of the self-selection effect has been reported. Nevertheless, people may be based on travel attitudes/needs to self-select not only residential location, but also work place, car ownership, etc. In other words, the impacts of long-term decisions other than residential location choices (e.g., decisions on work place, car ownership, etc.) on travel behavior may also be biased by the self-selection effect. However, self-selection concerning these long-term decisions has not been explored much in the travel behavior literature. The role of residential self-selection would not be properly evaluated if self-selections concerning other long-term decisions were not considered because they are often related. This paper addresses this research gap in the travel behavior literature by exploring the multiplicity of travel-based self-selection. We jointly examine the possible self-selections concerning residential location, workplace, commuting distance and car ownership in an integrated framework, taking into consideration the interrelationships among these decisions. Data are derived from an activity-travel diary survey conducted in 2016 in Beijing, China. We classify the respondents into two groups based on the choice order of their current residential and work locations and conduct a comparative analysis using structural equation models. It is found that self-selection exists in all long-term choices examined in the study. The choices of residential location and work place are found to be mutually dependent. Consequently, both choices have indirect impacts on travel behavior through the other choice.     

The built environment,travel attitude,and travel behavior: Residential self-selection or residential determination?

In examining the impacts of the built environment on travel behavior, studies focused on residential self-selection mostly assume that people self-select residential built environment based on their travel preferences. However, the residential self-selection hypothesis is challenged for a number of reasons including the arguments that that at least in some societies a large percentage of people do not have the privilege to self-select their residence and the built environment may have a significant influence on a person's travel attitude. To shed some light on this debate, this paper makes use of data from a household activity-diary survey conducted in Beijing, China, in 2011–2012 to examine both the hypothesis of residential self-selection and that of residential environment determination. We adopt the natural experimental approach and divide the sample into two groups based on whether or not the respondents had much freedom in regard to choosing where to live: one with the possibility of self-selection and the other one without this possibility. We found reciprocal influences between residential built environment and travel attitude/preference for the first group and influence of residential built environment on travel preferences for the second group. We argue that the complex relationships between the built environment, travel attitude, and travel behavior are featured by both residential self-selection and residential determination. Failing to acknowledge the effects of the built environment on travel attitude may lead to the overestimation of the influence of residential self-selection on the link between the built environment and travel behavior and underestimation of the influence of the built environment on travel behavior.     

Residential self-selection and travel behaviour: What are the effects of attitudes,reasons for location choice and the built environment?

In studies of the effect of built environment on travel behaviour, residential self-selection is an increasingly important issue. Self-selection implies that households locate in places that provide them with conducive conditions for their preferred way of travelling. In these studies, it is assumed that attitudes toward different travel modes are an important factor in location choice, and that households are unconstrained in choosing their preferred residential location. This paper challenges these assumptions, by distinguishing between the more passive travel attitude and travel considerations as a deliberate reason to locate in a certain place. Based on a survey among 355 recently relocated households in Dutch TOD locations, we find that the association between travel attitude and residential environment is weak, and that the association between travel attitude and travel as a factor in location choice is moderate at best. Multivariate models show that both travel attitude and travel being a reason for location choice influence travel mode use, suggesting that travel attitude is insufficient to fully reflect self-selection processes. In comparison to other travel modes, train travel is most influenced by the fact whether residents deliberately chose to live in an environment conducive to using this mode.     

Exploring the link between built environment and walking choice in São Paulo city,Brazil

This study assesses the connection between the walking choice and built environment characteristics in São Paulo city, Brazil. Trips to work and school were considered because they are the most representative motives to travel in the city, corresponding to more than 70% of the trips. The traditional logit model is applied, having as the dependent variable the choice for walking and as explicative variables, the built environment and socioeconomic variables. The results indicate that, for the city of Sao Paulo, built environment variables are more relevant at the origin and the dimension most related to walking choice is diversity, probably due to socioeconomic reason. The characteristics of individuals also have significant effects, as well as age, gender and income, and this study concludes that they must be considered in the development of local public policies to encourage walking. Also, in developing countries, the D's theories might have some application limits. Apparently, the theory is applicable to a greater social equality context, and in contexts of grater social inequalities there is no influence of built environment on walking choices.     

Exploring both home-based and work-based jobs-housing balance by distance decay effect

The relationship between built environment and jobs-housing balance has been discussed at either residence or workplace in literature. Less attention has been paid to both perspectives simultaneously. Built environment may have different relationships with home-based and work-based jobs-housing balance from a single perspective. However, the difference and to what extent is still not clear. It is significant in providing area-based urban planning suggestions. This study applied one-month cellular cellphone data in Guangzhou, China. It proposed a new jobs-housing balance measurement by estimating decay parameters of commuting distance distributions. Home-based and work-based jobs-housing balance was differentiated by aggregating commuting trips into departure and arrival locations. A linear regression model was applied to examine the correlation effect of built environment factors on home-based and work-based jobs-housing balance respectively, and a classification and regression trees (CART) model was applied to explore the combined effect of built environment on jobs-housing balance patterns. Results have shown that built environment has different correlations with home-based and work-based jobs-housing balance. For example, the POI mixture improves work-based jobs-housing balance but worsens home-based jobs-housing balance. Another important finding is that a moderate jobs-housing ratio does not ensure jobs-housing balance. In contrast, jobs-housing is imbalanced at well-developed communities.     

Toward a spatial understanding of active transportation potential among a university population

Universities and surrounding communities stand to benefit when active travel mode choices are elevated. Despite this, there is little research on travel mode choice at commuter universities and, in particular, the nonlinear spatial relationships among active travel potential and various contextual and compositional factors. The purpose of this study was to examine and visualize linkages among personal, household, density, diversity, and design factors, and active travel (bicycling, walking, and mass-transit modes) among a commuter-university population residing throughout southeastern Michigan, USA. This was accomplished by employing exploratory spatial data analysis (ESDA), ordinary least squares (OLS) regression, and a geographically weighted regression (GWR) model. The GWR model outperformed the traditional OLS model in terms of goodness of fit (R² = .534 and R² = .461, respectively). A novel cartographic mapping technique was employed to depict where statistically significant parameter estimates negatively or positively influenced active travel. The main finding was that personal, household, density, diversity, and design estimates varied in both magnitude and spatiality throughout the university's study area. Interestingly, distance was not a universal barrier to active travel potential. These variations emphasize the importance of promoting active transportation through localized interventions as well as coordinating efforts among universities and surrounding communities.     

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.     

Can we promote sustainable travel behavior through mobile apps? Evaluation and review of evidence

Mobile phone applications to monitor and influence one's behavior are numerous. Most developed appear to be health applications, but in the past decade, “persuasive technology” has also been leveraged and applied to promote sustainable travel behavior. We discuss the health applications and review and evaluate existing behavior change support systems (BCSS) designed to promote sustainable travel behavior. We extract the persuasive features embedded in these systems and evaluate their persuasive potential by using the persuasive systems design (PSD) model that has been used to evaluate BCSSs in the health domain. Our evaluation reveals that some features crucial for successful travel behavior change, such as tunneling, rehearsal, and social facilitation, are missing. Furthermore, we assess studies conducted to evaluate the effectiveness of these BCSSs in changing behavior and find indications that effect sizes are mostly small though methodologically robust studies are largely missing; hence, no definitive conclusion yet can be derived. Based on these findings as well as literature related to public health where BCSSs appear to be further developed, we then derive three important suggestions on research needs and applications for further development of BCSSs in the transport policy realm.     

Millennials,built form,and travel insights from a nationwide typology of U.S. neighborhoods

We examine the relationship between the built environment and the travel of Millennials in the United States. We develop a neighborhood typology to characterize the built environment and transportation networks in almost every U.S. census tract, allowing us to identify possible synergistic and/or threshold effects on travel. We measure travel behavior in two ways: (1) using a multi-faceted traveler typology created using latent class analysis, and (2) by measuring the vehicle miles of travel among people in each of these traveler types. This dual approach allows us to distinguish between the built environment changes needed to encourage travel by modes other than driving, and those needed to reduce vehicle miles traveled among drivers. Using a multinomial logistic regression, we find that travel patterns are relatively stable along much of the urban-rural continuum, everything else equal. Driving was substantially lower only in “Old Urban” neighborhoods, where densities, job access, and transit service are dramatically higher than in all other neighborhood types. This finding implies that dramatic changes in the built environment—doubling or even tripling development density or transit service—may do little to get young people out of their cars when initial densities or transit services are low, as they are in most of the U.S. Conversely, reducing vehicle miles traveled among drivers appears to require more modest built form changes, a finding that offers some room for optimism among those concerned with auto dependence.     

The influence of socioeconomic characteristics,land use and travel time considerations on mode choice for medium- and longer-distance trips

This paper contributes to the limited number of investigations into the influence of the spatial configuration of land use and transport systems on mode choice for medium- and longer-distance travel (defined here as home-based trips of 50 km and over) in the Netherlands. We have employed data from the 1998 Netherlands National Travel Survey to address the question as to how socioeconomic factors, land use attributes, and travel time affect mode choice for medium- and longer-distance travel, and how their role varies across trip purposes: commuting, business, and leisure. The empirical analysis indicates that land use attributes and travel time considerations are important in explaining the variation in mode choice for medium- and longer-distance travel when controlling for the socioeconomic characteristics of travellers.