Exploring residential relocation behavior for families with workers and students; a study from Beijing,China

The effects of residential relocation on changes in travel behaviors have been studied worldwide; however, little is known about factors that influence relocation behavior in households with workers and students. This study explores the relationship between residential relocation behavior and its factors, such as the built environment, the housing price, the work commute distance, the school commute distance, and households' sociodemographic attributes, by building a structural equation model using the data collected in the Fifth Travel Survey of Beijing Inhabitants. The results show that the built environment and sociodemographic attributes have direct effects on residential relocation behavior and the housing price, work commute distance, and school commute distance have indirect effects on it. Besides, trade-offs between the housing price and the built environment and between the housing price and the home-work and home-school commute distances are found. Based on the results, a number of suggestions for the balanced development of public transportation and city land-use plans are proposed.     

Impacts of two-scale urban form and their combined effects on commute modes in U.S. metropolitan areas

This study explores the relationship between urban form at the metropolitan and neighborhood scales and the percentages of four individual modes to commute. It then looks at the combined effects of urban forms at the metropolitan scale in metropolitan areas in the continental United States using multi-level regression models with interactive terms between urban forms. This study contains the percentages for four commute modes: percentage of the vehicle (VT), public transit (PT), biking (BI), and walking (WK). As urban form factors, this study contains urban fragments, population density, job-resident balance (JRB), the percentage of green areas at the metropolitan scale, and distance to the nearest job center at the neighborhood scale. The results show that at the neighborhood scale, a farther distance from individual neighborhoods to the nearest job center is associated with higher VT, and lower PT, BI, and WK. At the metropolitan scale, urban form factors have a more significant association with the percentage of individual modes to commute in large MSAs compared with small MSAs in terms of population. Most urban form factors at the metropolitan scale are not independently associated with the use of commute modes, but their interactions are associated with the percentage of individual modes to commute. Particularly, the level of urban fragments and the percentage of green areas may transform the impact of high population density and JRB on the percentage of the individual modes to commute except for WK. This study provides planners and policymakers with important guidelines to establish combined urban form plans rather than single urban form oriented plans to reduce vehicle 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.     

Residential dissonance and mode choice

Residential dissonance refers to the mismatch in land-use patterns between individuals’ preferred residential neighbourhood type and the type of neighbourhood in which they currently reside. Current knowledge regarding the impact of residential dissonance is limited to short-term travel behaviours in urban vs. suburban, and rural vs. urban areas. Although the prevailing view is that dissonants adjust their orientation and lifestyle around their surrounding land use over time, empirical evidence is lacking to support this proposition. This research identifies both short-term mode choice behaviour and medium-term mode shift behaviour of dissonants in transit oriented development (TODs) vs. non-TOD areas in Brisbane, Australia. Natural groupings of neighbourhood profiles (e.g. residential density, land use diversity, intersection density, cul-de-sac density, and public transport accessibility levels) of 3957 individuals were identified as living either in a TOD (510 individuals) or non-TOD (3447 individuals) areas in Brisbane using the TwoStep cluster analysis technique. Levels of dissonance were measured based on a factor analysis of 16 items representing the travel attitudes/preferences of individuals. Two multinomial logistic (MNL) regression models were estimated to understand mode choice behaviour of (1) TOD dissonants, and (2) non-TOD dissonants in 2009, controlling for socio-demographics and environmental characteristics. Two additional MNL regression models were estimated to investigate mode shift behaviour of (3) TOD dissonants, and (4) non-TOD dissonants between 2009 and 2011, also controlling for socio-demographic, changes in socio-demographic, and built environmental factors. The findings suggest that travel preference is relatively more influential in transport mode choice decisions compared with built environment features. Little behavioural evidence was found to support the adjustment of a dissonant orientation toward a particular land use feature and mode accessibility they represent (e.g. a modal shift to greater use of the car for non-TOD dissonants). TOD policies should focus on reducing the level of dissonance in TODs in order to enhance transit ridership.     

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.     

Residence,workplace and commute: Interrelated spatial choices of knowledge workers in the metropolitan region of Munich

Knowledge workers (KW), as important individual agents who embody, exchange, create and exploit knowledge, contribute to regional competitiveness and growth. To attract and retain them in a region, it is necessary to have a better understanding of their fundamental spatially-related behaviors including residence, workplace, and commute choices. In this study, we depart from a perspective of knowledge typology (analytical-synthetic-symbolic knowledge base) to investigate the heterogeneity of knowledge workers' residence, workplace, and commute choices. The case study was conducted in the metropolitan region of Munich. Various types of data are integrated: structural statistical and individually-based web-survey data; individuals' actual choices and their assessment of importance for each criterion; positional and relational data. We find that symbolic Advanced-Producer-Services (APS) workers tend to reside in central areas and use public transport or active modes to commute. In contrast, synthetic high-tech workers are found in relatively peripheral areas and depend more on cars to reach their workplaces. The spatially-related choices of analytical high-tech and synthetic-APS workers are positioned in between symbolic APS-workers and synthetic high-tech workers. We reach three conclusions: Firstly, the features of the knowledge base are evident in the spatial choices of knowledge workers. Secondly, there is a consistency of characteristics between interrelated spaces surrounding residence, workplace, as well as along the commute path of knowledge workers. Lastly, while the influence of the knowledge base has to be weighed against socio-demographic factors, different groups of knowledge workers clearly display distinct choices of residential location and commute mode. These conclusions may provide insights for urban planners and policy-makers regarding the attraction and retention of knowledge workers.     

Commute minimization in the Greater Toronto Area: applying a modified excess commute

Following the excess commuting literature, we develop a benchmark measure of the minimum required commute, conditional on the layout of the specific urban area. Through segmentation of the commuters into those that can be relocated and those that cannot, we try to explain the difference between the minimum required and actual commute. To determine the segmentation of the commuters we make use of a micro-level explanatory model of commuting distance. This micro-level modeling exercise informs a number of excess commuting simulations that address the contribution of certain groups of commuters to total commuting. Findings from the micro-analysis reaffirm similar findings in the literature for other urban areas. The simulation exercise suggests that varied levels of commute savings may result from policy directed at particular commuter groups.     

Study of vehicle ownership for urban and rural households in India

Private vehicle ownership has been growing in double digits over the last decade. This paper examines the factors determining vehicle ownership for urban and rural households in India. Separate nation-wide disaggregate vehicle ownership models for urban and rural areas in India are developed using readily available consumer expenditure survey dataset. A consumption based proxy variable is assumed to represent economic standard of households. Comparison between vehicle ownership behavior of urban and rural households show that rural households are more inclined to own private vehicle than urban households with same economic standards. Amongst households with regular salaried members, rural households' preference to own two wheelers is greater than that of urban households. While the presence of elderly member or children is considered, urban households showed more preference to own four-wheeler than rural households. As a first nation-wise study to understand the differences in vehicle ownership behavior in urban and rural areas of India, this study provides a lot of useful insights which could be valuable to various stakeholders.     

How does the propensity of living near rail transit moderate the influence of rail transit on transit trip frequency in Xi'an?

Many cities have made massive investments on rail systems to substitute transit for driving. Some studies have considered the confounding effect of attitudes in the connections between rail transit and travel behavior. However, they often focused on the average effect of rail transit and assumed that individuals' responses to transit improvements do not vary by their tastes. Using the 2014 data from Xi'an in China, this study explores the interaction effect between metro transit (heavy rail) and the propensity (i.e., predicted probability) of living in neighborhoods with metro transit on transit use. The propensity is positively associated with commute by metro transit and bus. Further, individuals with a strong propensity use transit equivalently no matter whether they live near metro transit, but metro transit tends to promote transit commute for those with a weak propensity of living near metro transit. Overall, building a rail line helps enhance transit ridership. Planners should also consider the variation in responses by individuals with different tastes when using policies to shape urban travel.     

The social aspect of residential location choice: on the trade-off between proximity to social contacts and commuting

Commuting has been found to be one of the least enjoyable activities. As it is a consequence of the choice of home and work location, the question arises as to how its disutility is compensated. Urban location theory suggests a compensation in the housing or the labor market. While this provides part of the explanation, individuals' personal networks may provide additional insights.Data from a social network survey were used to investigate proximity to social contacts as a factor in residential location choice.The results indicated that proximity to social contacts was an important factor and that it was traded off against commute time. The notion that the disutility of commuting is not compensated for may be a consequence of ignoring the effect of personal networks.The results contribute to the understanding of residential location choice and have implications for urban planning and policies that seek to reduce commuting.     

Impact of new motorway on housing prices in rural North-East Slovenia

The literature generally agrees that improved accessibility has a positive effect on housing values. The motorway constructions in north-eastern Slovenia, completed between 2002 and 2018, significantly improved the accessibility of less developed areas. In this article, we examine how the new motorway has affected the housing values in the mostly rural north-eastern part of Slovenia. We analysed the distance decay effect of amenities and disamenities of motorway links and ramps as well as bus stops, train stations, and railway links on housing prices. In addition to the transport infrastructure variables, we analysed numerous other structural and environmental variables. We estimated three different spatial hedonic regression models: the spatial autoregression model, the spatial error model, and the spatial autocorrelation model.The results indicate that none of proximities to the bus stop, train station, or motorway link have had a significant effect on housing value. However, the rail track proximity exhibited a significant negative association with price. Furthermore, the effect of distance to the nearest motorway ramp on housing value is significant: it is stronger for closer distances (i.e. starting from 500 m) and decreases up to 6 km, while the effect of distances below 500 m is insignificant. Our results also show that bigger dwellings, more rooms, and the presence of a balcony, elevator, central auto heating system, new installation, and air conditioning as well as an apartment in a single house, are associated with a higher housing price. On the contrary, selling the dwellings together with a parking place and basement reduced the average price of the housing property. Comparing our results to the literature, we proved our hypothesis that the negative effect of a motorway is less pronounced in rural areas compared to urban areas and that the positive effect of accessibility is stronger in rural areas and extends over a wider geographical area.     

Affective-symbolic and instrumental-independence psychological motives mediating effects of socio-demographic variables on daily car use

An empirical study investigates the extent to which affective-symbolic and instrumental-independence psychological motives mediate effects of socio-demographic variables on daily car use in Sweden. Questionnaire data from a mail survey to 1134 car users collected in 2007 were used to assess the relationships daily car use as driver or passenger have to sex, household type (single or cohabiting with or without children), and residential area (urban, semi-rural or rural). Reliable measures of affective-symbolic and instrumental-independence motives were constructed. The results show that households with children use the car more than households with no children, that men make more car trips as drivers than women who use the car as passenger more than men, and that households living in rural areas use the car more than households living in semi-rural areas who use the car more than households living in urban areas. An affective-symbolic motive partially mediates the relationship between the number of weekly car trips and sex, the instrumental-independence motive partially mediates the relationships between weekly car use and percent car use as driver and several of the socio-demographic variables (living in urban vs. rural residential area for both measures; sex and living in urban vs. semi-rural residential area for percent car use as driver). Of several other socio-demographic variables (age, employment, and income) affecting car use, only the relationship of the number of cars to percent car use as driver was (partially) mediated by the instrumental-independence motive.     

Endogenous treatment of residential location choices in transport and land use models: Introducing the MetroScan framework

Within a random utility maximisation modelling framework, the paper develops a residential location choice model as part of an integrated transport and land use modelling system, called MetroScan – a quick scanning tool to evaluate transport and land use initiatives, including benefit-cost analysis and economic impact analysis. We describe how the developed model is integrated, as an empirically calibrated module, into the behaviourally richer transport and land use modelling system of MetroScan for practical application. A full application of MetroScan modelling system to Sydney West Metro link recently proposed by the New South Wales government is presented as a case study. The results demonstrate how the residential location choice model works with other inter-connected models, such as work and non-work location choices, dwelling tenure and dwelling type, and vehicle fleet size choice embedded in the modelling system, in simulating the impact of transport and housing development on household choices of residential location.     

Measuring access to urban centres in rural Northeast Brazil: A spatial accessibility poverty index

This study proposes two innovative methods to measure transport-related exclusion in rural areas caused by the lack of access to basic opportunities (e.g. healthcare, education, jobs, etc). The Spatial Accessibility Poverty (SAP) indices, that are developed, are tailored for rural areas of the Global South and particularly illustrated in a case study in Northeast Brazil, where spatial data is most scarce. Gravity-based models are proposed based on travel impedance methods derived from i) Friction surface datasets, and ii) Kernel density maps. The spatial information is then aggregated at a municipality level creating indices that conjugate factors of severity and extent of SAP. The findings show that factors like deprivation of housing facilities (electricity and sanitation) and low population density are associated with critical SAP levels. The results also point out to higher prevalence of SAP in inner areas than the coastal areas of Northeast Brazil. The sensitivity analysis shows how data-poor contexts present a particularly complex environment to develop robust SAP measures. The findings emphasise the importance of considering sensitivity analysis and complementary factor analysis when applying SAP indicators for planning transport and for action prioritisation purposes. Since access to services and opportunities has been claimed to be a key difference between those who have escaped chronic poverty those still trapped in it, SAP indicators tailored to areas where poverty is most spread are of primary importance to promote a new standard of transport development strongly committed to eradicating poverty.     

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).     

Disability,wages, and commuting in New York

In the U.S., substantial employment and wage gaps persist between workers with and without disabilities. A lack of accessible transportation is often cited as a barrier to employment in higher wage jobs for people with disabilities, but little is known about the intraurban commuting patterns of employed people with disabilities in relation to their wage earnings. Our study compares wages and commute times between workers with and without disabilities in the New York metropolitan region and identifies the intraurban zones where residents experience higher inequities in wage earnings and commute times. We obtained our data from the Public Use Microdata Sample (PUMS) of the American Community Survey (ACS) for the 2008–2012 time period. We used linear mixed-effects models and generated separate models with log hourly wage or one-way commute time as the dependent variable. We find significant differences in wages and commute times between workers with and without disabilities at the scale of the metropolitan region as well as by intraurban zone. At the metropolitan scale, disabled workers earn 16.6% less and commute one minute longer on average than non-disabled workers. High commute and wage inequalities converge in the center, where workers with disabilities are more likely to use public transit, earn 17.1% less, and travel nearly four minutes longer on average than workers without disabilities. These results suggest that transport options are less accessible and slower for disabled workers than they are for non-disabled workers. Our findings indicate a need for more accessible and quicker forms of transportation in the center along with an increased availability of centrally located and affordable housing to reduce the disability gap in wages and commute times. We also find that workers with disabilities generally seek higher wages in exchange for longer commute times, but the results differ by race/ethnicity and gender. Compared to white men, minority workers earn much less, and white and Hispanic women have significantly shorter commute times. Our findings offer new geographic insights on how having a disability can influence wage earnings and commute times for workers in different intraurban zones in the New York metropolitan region.     

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.     

Analysis of rural activity spaces and transport disadvantage using a multi-method approach

Current knowledge about the relationship between transport disadvantage and activity space size is limited to urban areas, and as a result, very little is known about this link in a rural context. In addition, although research has identified transport disadvantaged groups based on their size of activity space, these studies have, however, not empirically explained such differences and the result is often a poor identification of the problems facing disadvantaged groups. Research has shown that transport disadvantage varies over time. The static nature of analysis using the activity space concept in previous research studies has lacked the ability to identify transport disadvantage in time. Activity space is a dynamic concept; and therefore possesses a great potential in capturing temporal variations in behaviour and access opportunities. This research derives measures of the size and fullness of activity spaces for 157 individuals for weekdays, weekends, and for a week using weekly activity-travel diary data from three case study areas located in rural Northern Ireland. Four focus groups were also conducted in order to triangulate quantitative findings and to explain the differences between different socio-spatial groups. The findings of this research show that despite having a smaller sized activity space, individuals were not disadvantaged because they were able to access their required activities locally. Car-ownership was found to be an important life line in rural areas. Temporal disaggregation of the data reveals that this is true only on weekends due to a lack of public transport services. In addition, despite activity spaces being at a similar size, the fullness of activity spaces of low-income individuals was found to be significantly lower compared to their high-income counterparts. Focus group data shows that financial constraint, poor connections both between public transport services and between transport routes and opportunities forced individuals to participate in activities located along the main transport corridors.