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原文传递 Aggregated Metro Trip Patterns in Urban Areas of Hong Kong: Evidence from Automatic Fare Collection Records

题名：	Aggregated Metro Trip Patterns in Urban Areas of Hong Kong: Evidence from Automatic Fare Collection Records
其他题名：	Alvarez-Garcia,J.A.,Ortega,J.A.,Gonzalez-Abril,L.,and Velasco,F.(2010)."Trip destination prediction based on past GPS log using a hidden Markov model."Expert Syst.Appl.,37(12),8166–8171.
正文语种：	英文
作者：	W. L. Wang
关键词：	Mass transit railway;Trip patterns;Automatic fare collection system;Station area characteristics
摘要：	The automatic fare collection (AFC) system incorporating smart card technology is widely used in transportation systems for revenue management, but the data from this could be mined for wide-ranging applications. This paper used AFC data of eight metro stations in the central area of Hong Kong to analyze metro trip patterns at an aggregate level. Based on the ridership differences between days, time periods, and directed flows, empirical data were categorized into three groups to better understand the station area characteristics. Compared to previous studies, it was found that factors may play varied roles in determining trip quantities for divergent station areas. Shopping and recreational factors demonstrated a statistically significant relationship with metro trips during the afternoon peak at exit flow and the evening peak at entry flow in the commercial districts of Hong Kong, such as Causeway Bay, Tsim Sha Tsui, and Mong Kok. This suggests that the distinctive context characteristics of the study area should be taken into consideration when selecting major determinants for transit trip patterns. The results of this study may provide promising insights for mass transit planning and the understanding of transit behavior in central urban areas.
出版年：	2015
论文唯一标识：	P-84Y2015V141N03027
英文栏目名称：	Technical Papers
doi：	10.1061/(ASCE)UP.1943-5444.0000225
期刊名称：	Journal of Urban Planning and Development
拼音刊名(出版物代码)：	P-84
卷：	141
期：	03
页码：	272-281