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  • 标题:The Effect of the Built Environment on Pedestrian Volume in Microscopic Space- Focusing on the Comparison Between OLS (Ordinary Least Square) and Poisson Regression
  • 本地全文:下载
  • 作者:Gunwon Lee ; Yunnam Jeong ; Seiyong Kim
  • 期刊名称:Journal of Asian Architecture and Building Engineering
  • 印刷版ISSN:1346-7581
  • 电子版ISSN:1347-2852
  • 出版年度:2015
  • 卷号:14
  • 期号:2
  • 页码:395-402
  • DOI:10.3130/jaabe.14.395
  • 语种:English
  • 出版社:日本建築学会、大韓建築学会、中国建築学会
  • 摘要:This study is aimed at establishing a correlation between microscopic factors and pedestrian volume in the urban environment, focusing on microscopic factors that stimulate pedestrian volume, such as density, diversity, network structure, accessibility, the form of lots and buildings, and the form of building façades. In particular, factors already known to boost pedestrian volume include density, diversity and accessibility, which are three variables highly related to the concept of 3Ds (Density, Diversity, Design) proposed by Cervero and Kockelman (1997) and the additional 2Ds (Distance to Transit, Destination Accessibility) suggested by Ewing et al. (2008). The analysis in this study is based on the 2010 survey of the floating population in Seoul, particularly on the data from Seocho-gu in the Gangnam area. Data was established by analyzing microscopic factors within the 500m radius around each of the 616 spots from which the pedestrian volume in Seocho-gu was measured. This study compared and analyzed two methods: OLS, which is featured in multiple studies of pedestrian volume, and Poisson Regression, which is the most common statistical analysis method of abnormal count data such as pedestrian volume. The analysis results showed that density, diversity and accessibility, three factors that were already known to be effective in increasing pedestrian volume, also proved to have the same effect in the Gangnam area. Moreover, the form of the ground level and facade of buildings were found to have a significant effect on pedestrian volume. These findings are expected to serve as basic data for the development of sustainable and resilient cities through higher pedestrian volume.
  • 关键词:urban design;OLS (Ordinary Least Square);Poisson Regression;pedestrian volume;5Ds (density; diversity; design; distance to transit; destination accessibility);building form
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