A comparison analysis of factors to affect pedestrian volumes by land-use type using Seoul Pedestrian Survey data

Abstract

The paper analyzes factors to affect pedestrian volumes by land-use type using 2012 Seoul Pedestrian Survey. First of all, five groups were classified based on land-use types around survey points such as residential, commercial, industrial and green uses, using k-average cluster analysis. Then, differences in average pedestrian volumes by group were compared for a day and time of day. In addition, multiple regression analysis was employed to identify factors to affect pedestrian volumes, considering physical features, land use types, public transportation accessibility, and socio-economic indices as independent variables by spatial hierarchy. Model results show that the walkway width positively influenced on pedestrian volumes for all groups, whereas other variables differently affected by group. Our results can be used as basic data for establishing polices with respect to pedestrian road design and improvement as well as estimating pedestrian demand by land-use type.

The Impact of PM10 Levels on Pedestrian Volume: Findings from Streets in Seoul, South Korea

“…The lambda (λ) values in Table 2 indicated spatial autocorrelation across survey spots for pedestrian volume. The explanatory power (R-square) of the spatial-error models (0.539 in average) was larger than the OLS models (0.417 in average) and those of previous papers [16,17,20,56,59] that used the same data. Although the variance inflation factor (VIF) values are not reported in Table 2 and Appendix A owing to the limited space, no multicollinearity was found.…”

“…Pedestrian volume on the streets has been considered one of the major contributors to the success of streets and cities [13]. It determines street safety and attractiveness, neighborhood livability and vitality, the prosperity of commercial districts, and the revitalization of regional and state economies [13,14,18,19,20,21]. It also enhances the physical and mental health of individuals as well as the social cohesion of the community [13,22,23,24,25,26,27].…”

“…Sung et al [16] tested Jacobs’s theory [13] on street life by using 2010 PVS data. Lee et al [57] and Jang et al [20] classified the type of street-based on the surrounding land use and analyzed the effect of the built environment on pedestrian volume by street type by using 2009 and 2012 PVS data, respectively. Lee and Koo [58], Lee et al [59], and Lee et al [60] focused on geographical differences.…”

“…Second, transit accessibility is also a key explanatory factor of pedestrian volume. While most papers applied this variable in the form of the existence or several transit stops (stations) within certain areas or distance to the nearest stops (stations), Jang et al [20] additionally considered the number of subway station entrances, bus lines, and daily services. Meanwhile, Rodríguez et al [54] and Lee et al [59] used transit ridership, which is a more straightforward variable, instead of the accessibility variables.…”

“…In Korea, all land in urbanized areas is designated as one of these four land-use types, and the uses cannot overlap. In general, people tend to walk and stay more in commercial streets with a variety of tenants [20,59].…”