Title: A study on the correlation between spatial configuration and rail passenger volume in different scales - take Fuxia region as an example

Authors: Miaoyi Li; Zhenjiang Shen; Qiang Sheng; Bingruo Duan; Linglan Li

Addresses: School of Environmental Design, Japan Kanazawa University, Kanazawa 920-1192, Japan; Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing University, No. 174, Sha Street, Shapingba District, Chongqing, China ' School of Environmental Design, Japan Kanazawa University, Kanazawa 920-1192, Japan; Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing University, No. 174, Sha Street, Shapingba District, Chongqing, China ' School of Architecture and Design, Beijing Transportation University, No. 3, Shangyuancun, Haidian District, Beijing, China ' Technology Innovation Center, Tsinghua Urban Planning and Design Institute, No. 1, Qinghezhongjie, Haidian District, Beijing, China ' Comprehensive Transportation Research Institute, China Center for Urban Development, No. 5, East Sanlihe Road, Xicheng District, Beijing, China

Abstract: Based on the current commercial space distribution data and rail passenger volume of seven cities (Fuzhou, Xiamen, Quanzhou, Zhangzhou, Putian, Fuqing, and Jinjiang) in Fuxia region, this paper analyses the correlation between railway station passenger volume with calculated results of space syntax and commercial space distribution with space syntax segment analysis model. On the macroscopic scale of city group, based on the rail passenger volume of 2011, and the analysed results of population and road traffic space of each city, this study verifies the space syntax segment model's influences on railway station passenger volume in large-scale; on the microscopic scale inside each city, based on the point of interest (POI) data of each function, this study analyses the correlation between functions' spatial aggregation and the mixed transportation system formed by roads and railway stations, and evaluates the degree of functions' distribution influenced by railway station location and relevant spatial parameters. With empirical study, this paper demonstrates space syntax model's possibility and rationality in large regional scale's application, meanwhile, discusses the reason of different results formed by different scales' application, and the future directions for improvement.

Keywords: space syntax; open data; commercial services; spatial configuration; rail passenger volumes; China; railways; cities; population space; road traffic space; roads; railway stations.

DOI: 10.1504/IJSSS.2016.077005

International Journal of Society Systems Science, 2016 Vol.8 No.2, pp.114 - 130

Received: 17 Apr 2015
Accepted: 11 Aug 2015

Published online: 17 Jun 2016 *

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