太阳成8722(中国)有限公司-GREEN NO.1

标题: Analysis of passenger flow characteristics and their relationship with surrounding urban functional landscape pattern

作者: Liu, YL (Liu, Yaolin); Tang, MY (Tang, Mingyang); Wu, ZH (Wu, Zihao); Tu, ZD (Tu, Zhide); An, ZH (An, Zihao); Wang, NN (Wang, Nannan); Li, Y (Li, Ying)

来源出版物: TRANSACTIONS IN GIS DOI: 10.1111/tgis.12665 提前访问日期: JUL 2020

摘要: The passenger flow characteristics of rail transit stations and their relationship with surrounding urban space play an important role in urban planning and transit-oriented development policies. However, passenger flow data are high-dimensional and complex, and corresponding characteristics are difficult to extract. Moreover, the integration of natural, social and economic factors in urban space may satisfactorily explain passenger flow characteristics. In this study, we clustered stations with passenger flow by using a dynamic time warping (DTW) distance-based affinity propagation (AP) algorithm. We introduced the urban functional landscape to reveal the urban space surrounding the station by landscape metrics. Then, we explored the relationship between passenger flow characteristics and urban functional landscape pattern. The DTW distance-based AP algorithm method identified passenger flow characteristics under total, inbound and outbound conditions, with cluster numbers of 3, 5 and 5, respectively. With the distance from the station, the proportion of natural landscape increased (from 26.11 to 36.62%), whereas that of socioeconomic landscape decreased (from 59.87 to 51.57%). The multivariate regression analysis indicated that types of urban functional landscape had significant influence on the passenger flow characteristics in different accessible areas of the station. These findings highlighted the effect of urban functional landscape pattern on passenger flow.

入藏号: WOS:000547741600001

语言: English

文献类型: Article; Early Access

地址: [Liu, Yaolin; Tang, Mingyang; Wu, Zihao; Tu, Zhide; Wang, Nannan; Li, Ying] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

[Liu, Yaolin] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan, Peoples R China.

[An, Zihao] Univ Leeds, Inst Transport Studies, Leeds, W Yorkshire, England.

通讯作者地址: Tang, MY (corresponding author)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

电子邮件地址: mytang12@126.com

影响因子：2.119