Relationships between neighbourhood environments and residents' bicycle mode choice: a case study of Seoul

Kyung Hwan Lee and Eun Jeong Ko

International Journal of Urban Sciences, 2014, vol. 18, issue 3, 383-395

Abstract: The purpose of this study is to analyse the characteristics of neighbourhood environments affecting residents' bicycle mode choice through a case study of Seoul. In this study, neighbourhood environments and other socio-demographic factors were used as explanatory variables in a causal model. The main data source used for this research was the 2006 Household Travel Survey, from which 214,978 observations were selected as the final sample. Statistical analysis was carried out by applying the random intercept logit model. The results of analysing the factors that affect the residents' bicycle mode choice can be summarized as follows: first, the gender, income, occupation, vehicle ownership status, and residential type have statistically significant correlations with the bicycle mode choice. In addition, the travel time and travel distance affect the bicycle mode choice. Second, a high level of land use mix results in more bicycle travel. However, unlike what is shown in previous western studies, residential density does not have a significant correlation with bicycle travel. Third, the density of bicycle lanes has an effect on the bicycle mode choice, which shows that accessibility to bicycle lanes is an important planning factor in activating bike travel. Fourth, gradients are one of the important factors that affect the bicycle mode choice because residents use bicycles less in regions with steep slopes. Fifth, analysing the destination, like the origin, the land use mix, and bicycle lane density, was found to affect the bicycle mode choice.

Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://hdl.handle.net/10.1080/12265934.2014.957715 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rjusxx:v:18:y:2014:i:3:p:383-395

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rjus20

DOI: 10.1080/12265934.2014.957715

Access Statistics for this article

International Journal of Urban Sciences is currently edited by Dongjoo Park and Mack Joong Choi

More articles in International Journal of Urban Sciences from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().