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How is commute mode choice related to built environment in a high-density urban context?
Abstract Mainstream studies on the relationship between built environment and travel behavior have mostly concerned about relatively low-density urban contexts in North American and European countries. Using Hong Kong as such a case, this study addresses the unique challenges and problems associated with this topic in extremely dense urban settings. In addition to investigating how built environment features are related to the choices between public transport and cars, we also divide public transportation into three sub-modes to study the impacts of built environment. Furthermore, we test how these relationships differ between millennials and older generations. Results indicate that built environment characteristics are more influential in people's choices among different public transport sub-modes than in their choice between public transport and cars. Compared to older commuters, millennials' choices of rail-based and mixed-mode public transport are more susceptible to built environment attributes whereas their effects on road-based transit usage are stronger for older commuters. These investigations provide important insights into individuals' commute mode choices in highly dense, transit dominated urban contexts, and hence provide more reliable grounds for policymaking in these cities to encourage the usage of specific public transit sub-modes, as well as to meet the needs of different age groups.
Highlights Effects of built environment on commuting was examined in a highly dense, TOD city. Marginal impact was found in all commuters’ choice between public transit and car. More influential on transit commuters' decision over public transport sub-modes Stronger impact on rail-based and mixed transit modes than non-rail mode Difference of the effects was revealed between young and older commuters.
How is commute mode choice related to built environment in a high-density urban context?
Abstract Mainstream studies on the relationship between built environment and travel behavior have mostly concerned about relatively low-density urban contexts in North American and European countries. Using Hong Kong as such a case, this study addresses the unique challenges and problems associated with this topic in extremely dense urban settings. In addition to investigating how built environment features are related to the choices between public transport and cars, we also divide public transportation into three sub-modes to study the impacts of built environment. Furthermore, we test how these relationships differ between millennials and older generations. Results indicate that built environment characteristics are more influential in people's choices among different public transport sub-modes than in their choice between public transport and cars. Compared to older commuters, millennials' choices of rail-based and mixed-mode public transport are more susceptible to built environment attributes whereas their effects on road-based transit usage are stronger for older commuters. These investigations provide important insights into individuals' commute mode choices in highly dense, transit dominated urban contexts, and hence provide more reliable grounds for policymaking in these cities to encourage the usage of specific public transit sub-modes, as well as to meet the needs of different age groups.
Highlights Effects of built environment on commuting was examined in a highly dense, TOD city. Marginal impact was found in all commuters’ choice between public transit and car. More influential on transit commuters' decision over public transport sub-modes Stronger impact on rail-based and mixed transit modes than non-rail mode Difference of the effects was revealed between young and older commuters.
How is commute mode choice related to built environment in a high-density urban context?
Zhu, Pengyu (Autor:in) / Wang, Kailai (Autor:in) / Ho, Shuk-Nuen (Rita) (Autor:in) / Tan, Xinying (Autor:in)
Cities ; 134
31.12.2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch