Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

How do built-environment factors affect travel behavior? A spatial analysis at different geographic scales

16 references·16 citing·34 second hopsampled

FromToDepth

this work references cited by second hop· second hop is a sample of the most-cited connections

References

1997Travel demand and the 3Ds: Density, diversity, and design4,588 cited
2002How the built environment affects physical activity1,916 cited
2001Travel and the Built Environment: A Synthesis1,882 cited
1991The Modifiable Areal Unit Problem in Multivariate Statistical Analysis1,558 cited
2005Correlation or causality between the built environment and travel behavior? Evidence from Northern California1,145 cited
2009Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings1,080 cited
1997A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area1,045 cited
2007Examining the impacts of residential self-selection on travel behavior: A focus on methodologies828 cited
2002Urban Sprawl and Public Health760 cited
2007Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?693 cited
1996Mixed land-uses and commuting: Evidence from the American Housing Survey667 cited
2006A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels623 cited
2000The Influence of Urban Form on Travel: An Interpretive Review555 cited
2002Urban sprawl and public health

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

546 cited

2003Residential Relocation and Changes in Urban Travel: Does Neighborhood-Scale Urban Form Matter?545 cited

1998Can Land-use Policy Really Affect Travel Behaviour? A Study of the Link between Non-work Travel and Land-use Characteristics533 cited

Cited by

2021Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach250 cited
2016Factors affecting car ownership and mode choice in rail transit-supported suburbs of a large Chinese city204 cited
2021Fourteen pathways between urban transportation and health: A conceptual model and literature review179 cited
2016Joint analysis of the spatial impacts of built environment on car ownership and travel mode choice157 cited
2021Understanding the modifiable areal unit problem in dockless bike sharing usage and exploring the interactive effects of built environment factors156 cited
2014The role of urban form and transit in city car dependence: Analysis of 26 global cities from 1960 to 2000125 cited
2014Exploring the influence of built environment on tour-based commuter mode choice: A cross-classified multilevel modeling approach120 cited
2021Revisiting car dependency: A worldwide analysis of car travel in global metropolitan areas120 cited
2018Exploring factors associated with commute mode choice: An application of city-level general social survey data118 cited
2016Car ownership and urban development in Chinese cities: A panel data analysis113 cited
2016Does public transit improvement affect commuting behavior in Beijing, China? A spatial multilevel approach102 cited
2021Non-linear associations between zonal built environment attributes and transit commuting mode choice accounting for spatial heterogeneity101 cited
2019How does the built environment at residential and work locations affect car ownership? An application of cross-classified multilevel model100 cited
2017Route choice stickiness of public transport passengers: Measuring habitual bus ridership behaviour using smart card data96 cited
2018Urban form, demographic and socio-economic correlates of walking, cycling, and e-biking: Evidence from eight neighborhoods in Beijing94 cited
2017A spatial econometric model for travel flow analysis and real-world applications with massive mobile phone data93 cited