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.     

Neighborhood characteristics and transport walking: Exploring multiple pathways of influence using a structural equation modeling approach

In studies of neighborhood effects on transport walking, residential preferences along with other personal characteristics (walking attitude, factors that affect decision to walk for transport) are important factors to consider. However, few studies have examined relationships between neighborhood characteristics and transport walking accounting for a complex suite of personal factors. This study employed a structural equation modeling approach to examine associations between neighborhood characteristics and transport walking behaviors by accounting for residential preferences, self-assessed factors that affect decision to walk for transportation, and socio-demographics; and to examine whether neighborhood effects were modified by walking attitude and residential preferences. Based on a cross-sectional phone and mail survey of 2848 residents of New York City, Baltimore, Chicago, Los Angeles, St. Paul, and Winston Salem in 2011–12, we found neighborhood characteristics had significant independent associations with transport walking, even after adjusting for residential preferences and other personal factors. Neighborhood effects on transport walking did not differ significantly by walking attitude or residential preferences. Our findings highlight the importance of neighborhood effects in promoting transport walking, and suggest that while residential preferences are important factors, they do not obviate the neighborhood effects on transport walking.     

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.     

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.     

A two-stage residential location and transport mode choice model with exposure to traffic-induced air pollution

Air pollution is an increasing concern to urban residents. In response, residents are beginning to adapt their travel behaviour and to consider local air quality when choosing a home. We study implications of such behaviour for the morphology of cities and population exposure to traffic-induced air pollution. To do so, we propose a spatially explicit and integrated residential location and transport mode choice model for a city with traffic-induced air pollution. Intra-urban spatial patterns of population densities, transport mode choices, and resulting population exposure are analysed for urban settings of varying levels of health concern and air pollution information available to residents. Numerical analysis of the feedback between residential location choice and transport mode choice, and between residents' choices and the subsequent potential impact on their own health suggests that increased availability of information on spatially variable traffic-induced health concerns shifts population towards suburban areas with availability of public transport. Thus, health benefits result from reduced population densities close to urban centres in this context. To mitigate population exposure, our work highlights the need for spatially explicit information on peoples' air pollution concerns and, on this basis, spatially differentiated integrated land use and transport measures.     

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.     

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.     

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.     

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.     

Active-transport walking behavior: destinations,durations, distances

This paper fills a gap in our knowledge of active-transport (AT) walking, by presenting detailed aspects of walking behavior for a medium-sized North American city. It analyzes the frequency and length of walking episodes, categorized by origins, purposes, and destinations, and also investigates distance-decay functions for major destinations. The study employs day-after recall time diary and questionnaire data from the 2007–8 Space–Time Activity Research (STAR) survey conducted in Halifax, Canada. GPS co-ordinate data enhanced the accuracy of location information, start times, and end times of the 1790 AT walking episodes, while GIS software was used to compute a shortest-path distance between the origin and destination of each episode.Home is both the most common origin and destination for AT walks, and the most common purpose is travel-to-shop rather than travel-to-work. Most walks are to non-home locations, such as retail establishments and offices. Particularly important are restaurants and bars, grocery stores, shopping centers, banks, and other services. All major destinations show strong distance-decay effects: most walks are shorter than 600 m, and very few exceed 1200 m. The assumption employed in the walkability literature, that one should restrict the ‘neighborhood of opportunity’ to walking destinations within 1000 m of the home, is seen to be well justified. However, a planning policy focus on the walker’s home neighborhood is revealed as questionable, since the majority of walking trips do not originate from the home. The relationship between urban land-use patterns and walkability may therefore require some rethinking.     

Exploring built environment correlates of walking distance of transit egress in the Twin Cities

Most studies on walking distance to transit stops either emphasize transit access or do not distinguish transit access and egress. Furthermore, environmental correlates of walking distance may differ by stop location. Using the 2010 Transit Onboard Survey in the Minneapolis and St. Paul Metropolitan Area, this study develops four models to compare the effects of the built environment around transit stops on walking distance of transit egress. Job density is negatively correlated with walking distance, consistent in all four models. Other built environment variables exhibit different impacts by stop location. Particularly, land use mix has positive impacts on walking distance for stops outside of downtown and suburban employment centers whereas job density is more important for suburban centers. Job accessibility and the number of intersections have significant effects on stops within downtown areas but have no significant impacts on stops outside of downtown areas. The number of transit stops has opposite impacts on walking distance for stops within and outside of downtown. Moreover, the built environment tends to have a larger impact on walking distance in downtown areas than non-downtown areas. We then discuss the implications for stop area land use planning and transit stop location choice.     

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.     

Urban rail systems investments: an analysis of the impacts on property values and residents’ location

Light rail, metro and other urban rail transit systems can play a significant role in improving the attractiveness and quality of urban public transport. They can influence the attractiveness of locations near the stations and improve accessibility for these locations. Furthermore urban rail can improve a location’s attractiveness by its image effect: it makes a station appear modern and dynamic, and thus raises the status of this location.This paper summarises findings on the land-use and economic impacts of the urban rail system of the city of Naples over time and space. It examines changes in residential and non-residential (offices and retail) property prices around the newly built stations between 2001 and 2008 as well as the changes in the number of residents for the same station catchment areas. Ad hoc station control areas have been specified in order to compare the results of these changes. Results show that values in station control areas are lower than those of those of the stations catchment areas.     

Redistributive effects of bus rapid transit (BRT) on development patterns and property values in Seoul, Korea

This study investigates the redistributive effects of Seoul's bus rapid transit (BRT) system on development patterns and property values using an urban simulation model. The Seoul Metropolitan Integrated Urban Model (SMIUM) combines the Seoul metropolitan input-output model with random utility-based location choice models and endogenous real estate markets.The major findings of this study can be highlighted as follows. First, Seoul's BRT contributes to increased development density in urban centers, acting as a centripetal force to attract firms from the suburbs into urban cores and supporting arguments for Smart Growth proponents. Second, unlike its redistributive effects on nonresidential activities, the BRT has a limited effect on the redistribution of residential activities, implying that residential locations are less sensitive to accessibility improvements made by the BRT than are nonresidential locations. Third, reflecting the transferred space demands from the suburbs to the urban cores, the CBD reaps the highest property value gains, while all of the outer ring zones suffer from reduced property values.     

A joint analysis of residential location,work location and commuting mode choices in Hanoi,Vietnam

The influence of land use policy on people's residential and travel choices may be overestimated because of self-selection effects. In the context of commuting, neighborhood and travel preferences may induce self-selection effects in choices about residential location, work location, and commuting mode. Presumably, such self-selection effects may vary across different job markets. To date, however, no study has been done in developing countries. Therefore, this study aims to fill this research gap by using data collected in Hanoi, Vietnam. A joint model with the above three choices is built by incorporating self-selection effects, where effects of land use attributes are emphasized. Choices of labor-intensive workers (11,344) and knowledge-intensive workers (12,360) are compared. The statistical significance of multiple self-selection effects is confirmed, which suggests that the joint estimation of the above three choices is a useful approach. As for the magnitude of influence of self-selection effects, self-selection seems to be more influential in knowledge-intensive workers' residential location and work location choices. As for land use attributes, different types of households, and labor-intensive and knowledge-intensive workers show different responses to different types of land in location choices (especially the work location choice). Effects of land use diversity and population density on the commuting mode choice are mixed. Additionally, the centralization of knowledge-intensive employment and decentralization of labor-intensive employment are captured. These findings may be useful for city planners in Hanoi in designing land use patterns in the future in order to keep knowledge-intensive workers working and living close together.     

School site walkability and active school transport – association,mediation and moderation

Increasing active school transport (AST) can improve population health, but its association with the urban form is not fully clear. This study investigated the association of an objective school walkability index with AST and how this association is mediated by the perceived physical and social environment. 1250 Danish students aged 11–13 years completed a commuting diary and a questionnaire. The walkability index was constituted of measures of road connectivity, traffic exposure and residential density. AST’s share in all school trips was 85.4% with little difference between genders. The school walkability index was significantly associated with AST (Medium vs. Low OR 2.68; High vs. Low OR 2.49). Adding the perceived physical and social environment variables improved the model prediction of AST, with no change in the association with the school walkability index. Furthermore, distance to school significantly moderated the association between the school walkability index and AST. This research confirms the association between the urban form surrounding schools and AST. Medium and highly walkable school sites in combination with a distance to school below 2 km, no speeding traffic and many paths in the neighborhood was associated with the highest odds ratio for AST.     

Estimating pedestrian and cyclist activity at the neighborhood scale

In most parts of the U.S., data on bicycle and pedestrian activity at the neighborhood scale are sparse or non-existent, despite the importance of such data for local planning. Here, a simple small-area estimation method is used to pair travel survey with land use and census data to estimate cyclist and pedestrian activity for census tracts in the state of California. This method is an improvement on fixed per-capita estimates of activity based only on regional or statewide averages. These activity estimates are then used to calculate the intensity of road use by cyclists and pedestrians, and crash rates for these road users. For California, the intensity of pedestrian and cyclist road use in urban census tracts is double that found in suburban tracts, while use in suburban tracts is an order of magnitude greater than that found in rural tracts. Per-capita estimates would suggest substantially smaller differences between neighborhood types. On the safety side, although non-severe crashes involving cyclists and pedestrians are much more likely in more urban areas, severe crash rates for the non-motorized modes exhibit no clear spatial pattern. The method used is simple and easily replicable, potentially filling a critical need for bicycle and pedestrian planners.     

The reflection of the fear of falls and risk of falling in walking activity spaces of older adults in various urban environments

Participation of older adults in daily activities has a major positive impact on health and contributes to a sense of accomplishment, satisfaction, self-efficacy, and well-being. Walking is considered to be one of the most influential activities promoting health and active living. Older adults are particularly vulnerable to their immediate local environment where age- related declined capabilities combined with barriers in the home neighborhood pose a risk of falling and fear of falls. Most research focusing on the built environment role in incidents of older adults' outdoor falls and fear of falls is focused on identifying the environmental features' risk factors. Effort is made to develop audit checklist tools to assess out-door falls risk. In contrast, this study focuses on the manifestation of fear of falls in older adults' walking activity spaces. We identify spatial walking patterns of outdoor daily activities in public urban spaces and examine the relations between fear of falls, risk of falling status, previous occurrence of fall incidents and number of medical diagnoses and walking activity spaces among older adults in different urban environments.The analysis included 271 older adults (age 60+ with 70% females and 30% males), and 483 walking routes in three cities. A psychological measure related to mobility self-efficacy was evaluated by the Falls Efficacy Scale examining the fear of falling through a functional perspective. Motor evaluation was conducted by functional mobility evaluation through the Timed Up and Go (TUG) screening test which assesses the level of risk of falling. GIS analysis was conducted for mapping and identifying walking activity spaces. The analysis shows different walking activity spaces of people with high risk of falling and fear of falls in comparison to those with no risk and no fear of falling across gender and age groups (60–65, 66–74, and 75+). In this approach we show the outcome reflection of barriers and enablers and their revealed cumulative effect through walking activity spaces among older adults.     

Analysis of the impact of street-scale built environment design near metro stations on pedestrian and cyclist road segment choice: A stated choice experiment

The mismatch between the design of the micro-scale built environment around metro stations and pedestrian/cyclist preferences causes inconvenience and dissatisfaction. How to design streets near metro stations to provide a walking/biking friendly built environment is still a key question in promoting the use of metro systems. To identify which general attributes of the street-scale built environment are relevant for pedestrians/cyclists and increase walkability/cycle-ability, this paper reports the results of a stated choice experiment in which eight built environment attributes were systematically varied: street segment length, average number of building floors on both sides of the street, retail shops in frontage of streets, street crossing facilities for pedestrians/cyclists, width of sidewalks/bicycle paths, greenery, density of street lamps and crowdedness of pedestrian/cyclists to understand their influence on a road segment choice and preferences. A total of 803 respondents were recruited from Tianjin, China to complete the stated choice experiment through on-street face-to-face interviews. A multinomial logit model was estimated to unravel pedestrian/cyclist preferences using the stated choice data. The results indicate that pedestrians and cyclists have similar preferences for road segments with building lower than 6 floors, 50% retail shops in frontage, more greenery, lamps between 15 m and 30 m, more crossing facilities, wider sidewalk/bike lane and not crowded. These significant built environment attributes can be used in urban design projects with a walking/biking friendly built environment around a metro station.