Residential dissonance and walking for transport

The concept of residential dissonance contextualizes the combined impact of built environment and individual travel and land-use preferences on travel behavior. A limited number of studies have explored the effect of residential dissonance specifically on walking. However, evidence from the active travel literature suggests that the environmental characteristics associated with diverse active travel modes differ to some extent. This study addresses residential dissonance in a framework specific for walking outcomes, as the applied neighborhood boundaries, residential preferences and the observed built environment were operationalized with measures related to walking for transport. SoftGIS, a public participatory GIS method allowing the mapping of frequently visited destinations was used to survey the daily walking behavior of 772 respondents aged 25–40 years living in the Helsinki metropolitan area, Finland. Ordinal logistic regression analyses were used to assess the adjusted odds of walking a high share of estimated monthly trips and travel distance. The identified residential dissonance groups were found to have significant associations with the walking outcomes. Associations between the observed neighborhood walkability and the walking outcomes varied by trip purpose, being more consistent with walking to utilitarian than to recreational destinations. Overall, the results support views on the interconnectedness of individual attitudes and the built environment in facilitating walking for transport.     

The influence of residential dissonance on physical activity and walking: evidence from the Montgomery County,MD, and Twin Cities,MN, areas

This study investigates to what extent a mismatch between residential preferences and actual residential locations is associated with residents’ physical activity and walking. The residents of Montgomery County, MD, and Twin Cities, MN, were classified into four residential subgroups, and their walking and physical activity outcomes were compared. The results showed that, for transport activity and walking outcomes, participants living in a urban location and preferring a urban environment were more likely to be active than those who lived in a suburban location and preferred a suburban environment. In a highly dense region, the influence of preferences might be overridden by the characteristics of neighborhood locations. With respect to recreation activity, no significant associations were found regarding neighborhood locations or preference for neighborhood environment.     

What is ‘neighborhood walkability’? How the built environment differently correlates with walking for different purposes and with walking on weekdays and weekends

Residential environments are associated with people's walking behavior. Transit-related, non-transit-related, and recreational walking may be differently associated with residential environments on weekdays and weekends, but empirical evidence is scarce. We therefore examined 1) to which extent these types of walking correlated with natural and built environmental characteristics of residential neighborhoods, 2) how these correlations differ for walking on weekdays and weekends, and 3) what substitution and complementarity effects between different types of walking exist. Our sample comprised 92,298 people aged ≥18 years from the pooled Dutch National Travel Survey 2010–2014. Multivariate Tobit regression models were used to assess the associations between the natural and built environment and the three types of walking (in average minutes per day). Our models accounted for cross-correlations between the walking types. Our results showed that denser residential areas encouraged both longer transit-related and non-transit-related transport walking on weekdays and weekends, whereas lower density neighborhoods were positively associated with recreational walking on weekdays. Shorter distances to public transport were only significantly associated with transit-related transport walking on weekdays. Shorter distances to daily facilities were positively associated with non-transit-related transport on weekdays. No significant associations between built environment and recreational walking were found on weekends. Additionally, some compensation effects between different types of walking seem to be at play: during weekends, recreational walking was inversely correlated with transit-related transport walking. Residential environments seem to affect walking types in a different way, suggesting that one size fits all policies might be less effective. Intervention strategies should be tailored for each walking type separately.     

Understanding the role of urban form in explaining transportation and recreational walking among children in a logistic GWR model: A spatial analysis in Istanbul,Turkey

This study aims to examine associations between urban form factors generally, and street network configuration in particular, and walking for different purposes among children in Istanbul, Turkey. Parents of randomly selected students (ages 12–16) at 20 middle schools (N = 917) completed questionnaires about their socio-economic characteristics and the frequency of their children's walking for recreational and for transportation purposes in their neighbourhood during a typical day. The environment around 400 m of participants' homes was evaluated through GIS-based parcel-level land-use data and segment-based street connectivity measures calculated using space syntax techniques. Logistic geographically weighted regression models were estimated to measure the desired associations while adjusting for socio-economic characteristics. Results demonstrate a marginal association between urban form measures and walking behaviour but only in certain peripheral parts of the city. More importantly, increased directional accessibility, which identifies the extent to which more street length is accessible within few direction changes, is associated with higher odds of recreational walking in particular areas where a strong differentiation between scales of street connectivity structure is evident such as a supergrid of primary roads with inserted organic local streets. In addition, children residing in neighbourhoods with reduced residential density and increased commercial and recreational activities are more likely to walk for transportation purposes. The findings of this study demonstrate that the one-size-fits-all approach may not effectively encourage walking. Urban areas tend to have varying qualities that need to be handled uniquely, and therefore targeted rather than blanket interventions regarding the design of neighbourhoods around schools and homes may be beneficial in supporting walking behaviour of children.     

Catalysts and magnets: Built environment and bicycle commuting

What effects do bicycle infrastructure and the built environment have on people’s decisions to commute by bicycle? While many studies have considered this question, commonly employed methodologies fail to address the unique statistical challenge of modeling modes with small mode shares. Additionally, personal characteristics that are not adequately accounted for may lead to overestimation of built environment impacts.This study addresses these two key issues by using an ordered probit Heckman selection model to jointly estimate participation in and frequency of commuting by bicycle, controlling for demographics, residential preferences, and travel attitudes. The findings suggest a strong influence of attitudinal factors, with modest contributions of bicycle accessibility. Bicycle lanes act as “magnets” to attract bicyclists to a neighborhood, rather than being the “catalyst” that encourages non-bikers to shift modes. The results have implications for planners and policymakers attempting to increase bicycling mode share via the strategic infrastructure development.     

A deeper investigation into the effect of the built environment on the use of ridehailing for non-work travel

Ridehailing has become a main-stream mobility option in many cities around the world. Many factors can influence an individual's decision to use ridehailing over other modes, and the growing need of policy makers to make built-environment and regulatory decisions related to ridehailing requires an increased understanding of these. This study develops a model that estimates how the built environment affects the decision to choose ridehailing for making non-work trips, while carefully accounting for a variety of confounding effects that could potentially bias the results (if ignored or improperly incorporated). These include: total number of trips, differences in supply between urban and non-urban areas, residential choice (e.g. urban versus non-urban areas), and household choice of whether to own a vehicle. We use individual-level data from a California travel survey that includes detailed attitude measurements to estimate an integrated choice and latent variable (ICLV) model to properly specify these effects. We include accessibility measures used elsewhere (e.g., Walkscore) plus measures developed for this study. Our analysis estimates the effect of these measures on ridehailing mode share, and how they differ between urban and non-urban areas. This analysis results in several major findings: we confirm that omission of latent preferences for residential location and vehicle ownership from the analysis can lead to biased results; previous studies may have overestimated the complementarity or substitution relationships between public transit and ridehailing by ignoring confounding effects; and even after accounting for other effects, individuals living in vibrant and walkable neighborhoods have a higher mode share for ridehailing (potentially using it instead of active modes).     

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.     

Walking,cycling, and public transport for commuting and non-commuting travels across 5 European urban regions: Modal choice correlates and motivations

The objective of this study was to explore individual and contextual-level characteristics associated with active (walking and cycling) and public transport as main travel modes for both non-commuting and commuting purposes, in residents of five European urban regions. We also described participant-reported motivations for modal choice for each journey purpose. The study used multilevel models to investigate cross-sectional associations of individual (i.e. age, gender, educational level) and contextual (defined by a combination of residential neighbourhood characteristics in typologies) characteristics with the choice of active and public transport as outcome. Based on an online survey of 6037 residents of Ghent and suburbs (Belgium), Paris and inner suburbs (France), Budapest and suburbs (Hungary), the Randstad (including the cities of Amsterdam, Rotterdam, The Hague and Utrecht in the Netherlands) and Greater London (United Kingdom), we observed associations with both individual and contextual characteristics.Results of the multilevel modelling show that the probability of using active or public transport as main mode varies depending on both individual and contextual characteristics. At individual level, relations with gender, age, education, weight status and having at least one child varied according to main transport mode and/or purpose. For example, overweight participants reported lower level of cycling for commuting and non-commuting travels than normal-weight participants. In the context of non-commuting travels, participants with one or more child reported less public transport use and more walking (vs participants without children). Among contextual-level variables, urban characteristics of the residential neighbourhood defined by four clusters (according to food environment, recreational facilities and active mobility opportunities) were associated with public transport and walking but not with cycling. For active transport the most important reasons were “I like to travel (on foot or by bike)” and “I want to be physically active” for both travel purposes. “Public transport facilities nearby” was indicated as the most important reason for public transport (for both trip purposes) – the second was “Journey time”.Our findings highlight the importance of exploring a combination of multiple correlates at individual and contextual level according to journey purposes and suggest that the role of health-related individual characteristics such as weight status need further exploration.     

Exploring the non-linear associations between spatial attributes and walking distance to transit

When examining environmental correlates of walking distance to transit stops, few studies report the importance of spatial attributes relative to other factors. Furthermore, previous studies often assume that they have linear relationships with walking distance. Using the 2016 Transit On Board Survey in the Minneapolis and St. Paul Metropolitan Area, this study adopted the gradient boosting decision trees method to examine the relationships between walking distance and spatial attributes. Results showed that spatial attributes collectively have larger predictive power than other factors. Moreover, they tend to have non-linear associations with walking distance. We further identified the most effective ranges of spatial attributes to guide stop area planning and stop location choice in the region.     

Factors influencing social satisfaction and loneliness: a path analysis

Social networks have increasingly received attention in transportation research. However, more subjective aspects of the social network, such as social satisfaction and loneliness hardly received any attention in travel behavior research, whereas these aspects are very important in shaping quality of life. In this study, a path analysis is used to analyze the relationships between personal characteristics, neighborhood characteristics, travel behavior, social interactions, social satisfaction and loneliness. The analyses are based on data collected in Eindhoven and surrounding towns in the Netherlands in a survey among 177 respondents. Results show relationships between mobility and social aspects. They indicate that frequency of walking affects social satisfaction, frequency of cycling affects the number of social interactions and car ownership affects loneliness. Regarding the neighborhood characteristics, interesting results are found as well. The percentage of non-western ethnic minorities in the neighborhood is found to negatively affect social satisfaction, social cohesion is found to affect the number of social interactions and place attachment is found to affect loneliness.     

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.     

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.     

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 influence of stratification by motor-vehicle ownership on the impact of built environment factors in Indian cities

Development of compact cities, many contend, aids in the promotion of sustainable modes (public transit, walking and cycling). But the studies done until now have inadequately represented the effect of socio-economic stratification on the relationship between built environment factors and non-motorized transport (NMT) mode choice, which is important in context of a developing country like India. The present study, done in the city of Bangalore, analyzes the influence of built environment factors –density and diversity - on the mode choice and trip distance for the two segments: respondents owning at least one personal vehicle and respondents not owning any personal vehicle. The built environment factors are analyzed for their marginal effects in the presence of various socio-demographic and alternate specific attributes. The results of the built environment factors for the vehicle non-owning group highlighted the requirement of a policy framework to reduce their trip distance by controlling their employment and housing location. The gender of a commuter had a significant effect on the choice of modes, and the results that females had a higher likelihood of using NMT compared with males contradicted the results in other cities. Also, the trip distance model determined that females preferred a shorter walking distance compared with males. Further, the study determined the need for a well-planned, inclusive and coordinated land-use and transport control strategies in the future.     

Causes and effects between attitudes,the built environment and car kilometres: A longitudinal analysis

Travel-related attitudes are believed to affect the connections between the built environment and travel behaviour. Previous studies found supporting evidence for the residential self-selection hypothesis which suggests that the impact of the built environment on travel behaviour could be overestimated when attitudes are not accounted for. However, this hypothesis is under scrutiny as the reverse causality hypothesis, which implies a reverse direction of influence from the built environment towards attitudes, is receiving increased attention in recent research. This study tests both directions of influence by means of cross-sectional and longitudinal structural equation models. GPS tracking is used to assess changes in travel behaviour in terms of car kilometres travelled. The outcomes show stronger reverse causality effects than residential self-selection effects and that land-use policies significantly reduce car kilometres travelled. Moreover, the longitudinal models show that the built environment characteristics provide a better explanation for changes in car kilometres travelled than the travel-related attitudes. This contradicts the cross-sectional analysis where associations between car kilometres travelled and travel-related attitudes were stronger. This highlights the need for more longitudinal studies in this field.     

Accessibility across transport modes and residential developments in Nairobi

A key goal of urban transportation planning is to provide people with access to a greater number of opportunities for interaction with people and places. Measures of accessibility are gaining attention globally for use in planning, yet few studies measure accessibility in cities in low-income countries, and even fewer incorporate semi-formal bus systems, also called paratransit. Drawing on rich datasets available for Nairobi, Kenya this analysis quantifies place-based accessibility for walking, paratransit, and driving using three different measures: a mobility measure quantifying how many other locations in Nairobi can be reached in 60 min, a contour measure quantifying the number of health facilities that can be reached in 60 min, and a gravity measure quantifying the number of health facilities weighted by a time-decay function. Health facilities are used because they are an essential service that people need physical access to and as a representation of the spatial distribution of activities more broadly. The findings show that place-based accessibility is highest for driving, then paratransit, then walking, and that there are high levels of access to health facilities near the Central Business District (CBD) for all modes. Additionally, paratransit accessibility is comparatively better in the contour and gravity measures, which may mean that paratransit is efficiently providing access based on the spatial distribution of services. The contour measure results are also compared across different residential levels, which are grouped based on neighborhood characteristics and ordered by income. Counterintuitively, the wealthiest areas have very low levels of place-based accessibility for all modes, while poor areas have comparatively better walking access to health facilities. Interestingly, the medium low residential level, characterized in part by tenement apartment buildings, has significantly higher accessibility than other residential types. One way to reduce inequality in access across income groups is to increase spatial accessibility for the modes used by low- and middle-income households, for example with policies that prioritize public transport and non-motorized travel, integrate paratransit with land use development, and provide safe, efficient, and affordable options.     

Sustainable transport challenges in a suburban university: The case of the Autonomous University of Barcelona

This paper provides detailed accounts of the transport patterns at the Autonomous University of Barcelona (UAB), including its motivations, barriers and user preferences, and explores the main transport challenges faced by the UAB campus. This suburban university is an important transport activity generator in the Barcelona Metropolitan Region, which is committed to achieving sustainable transportation. Results have been obtained through a personal survey (n=5525) of members of the university community. These show that the main limitations for changing travel mode from private means to non-motorised or public modes of transport are: the lack of adequate infrastructure, the marginal role of walking and cycling as a means of transport, and the longer time involved using public transport.     

Neighborhood walking densities: A multivariate analysis in Halifax,Canada

Neighborhood walkability is important to planners and policy makers in the public health, land use planning, and transportation fields. This research contributes to knowledge of walking behaviour by aggregating GPS-tracked walking trips as neighborhood walking densities, and investigating local characteristics affecting those densities. The study maps walking trips in urban and suburban neighborhoods of Halifax, Canada, using data from the Space-Time Activity Research (STAR) survey conducted in 2007–2008. Respondents completed a two-day time-diary, and their movements were tracked using a GPS data logger. The 1971 primary respondents recorded 5005 geo-referenced walking trips.From mapped walking tracks, walking distances were aggregated to 87 census tracts, and expressed as walking densities (per resident, per meter of road, and per developed area). Multivariate regression was used to examine which neighborhood variables and socio-demographic controls are most useful as estimators of walking densities. Contrary to much of the walkability literature, built-environment measures of road connectivity and dwelling density were found to have little estimating power. Rather, retail lot coverage ratio was the single most useful estimator, acting as a proxy to identify traditional retail shopping streets. Office and institutional land uses were also important contributory estimators (highlighting areas of dense employment), as were measures of residents' income and age.     

Walking distances from services and destinations for residential aged-care centres in Australian cities

Aged-care centres are one of the common places used by the older Australian population as their residence. While these centres provide many health supports and assistance for the well-being of the residents, there are still many health benefits for this population by walking in the environment outside the centre, because of the positive effect of walking on health and the opportunities it provides for social interaction. However, to choose walking is dependent on several factors, some of which pertain to the availability of and accessibility to the facilities around the care centres. This paper has approached accessibility as a matter of walking distance to the facilities or services, or to the public transport with potential access to them.For this purpose, the paper has analysed the walking distances from residential aged-care centres to services and transport in the six largest Australian cities which host over 50% of the residential capacity of the aged-care centres within the country. The services included cafés, pharmacies, grocery stores, news agents, lottery outlets, and post offices. The study has used the 2017 database of aged-care centres from the Australian Institute of Health and Welfare, and Google Map API services to locate the services and transport stops around the centres and calculate the walking distances to them. The results indicated that in all cities, most of services were only in a walking distance for healthier residents, while the less mobile residents might have difficulty walking to the services, especially the pharmacies. Nevertheless, majority of centres were within a walking distance to points of public transport. In addition, the study found that the centres' distance to services varied considerably both inside a city and between cities, which implied there might have been no prior planning in the selection of the locations for building or repurposing the centres.     

Should I stay or should I go? A survey analysis of neighborhood change and residential mobility concerns around new light rail stations in Charlotte,NC

In this article, we examine the effects of rail transit investments on residents' stated mobility intentions and perceptions of neighborhood changes using a survey analysis in Charlotte, North Carolina. We ask residents in neighborhoods along a new light rail line about their reasons for residing in their current neighborhood, thoughts about moving and the light rail's effect on their neighborhood. To control for city-wide housing market pressures, responses from one station-adjacent neighborhood are compared to responses from residents in a similar neighborhood elsewhere in the city while controlling for individual characteristics. Using a mixed-methods research approach, we find that while residents attribute some changes in their property values and rents to the light rail, it is only one of many factors affecting their neighborhood. Light rail also does not appear to affect residents' stated propensity to move out of these neighborhoods. Survey respondents' view of the light rail's effect on their neighborhood is also positive, on average. We find that the stated likelihood of moving is not related to the distance to the station nor to how frequently a resident uses the light rail. This article contributes to debates on transit-induced displacement and gentrification and provides context to neighborhood-scale quantitative analyses from residents' perspective.