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作者

来源

JOURNAL OF URBAN PLANNING AND DEVELOPMENT,Vol.143,Issue040170164

语言

英文

关键字

High-speed railway (HSR); Agent-based modeling (ABM); Logit model; Lifecycle environmental analysis; HIGH-SPEED RAIL; NETWORKS; DYNAMICS; CITY

作者单位

[Lu, Miaojia; Hsu, Shu-Chien] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China. Hsu, SC (reprint author), Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China. E-Mail: miaojia.lu@connect.polyu.hk; mark.hsu@polyu.edu.hk

摘要

This study presents an urban transportation simulation model for lifecycle environmental performance evaluation (ALENT). ALENT integrates geographic information to quantify stations' accessibility levels and construct real-world intercity transportation maps. A conceptual meta-theory from psychology is adopted to form the behavioral rules of passengers choosing different transport modes as influenced in part by passengers' social networks. Operation scenarios are simulated for the year in which Hong Kong's high-speed railway (HSR) is introduced, viewed from a lifecycle assessment perspective. The simulation results suggest that the occupancy rate of the HSR should be maintained-more than 80%-to lower the overall environmental impacts. The through train may need to be shut down to mitigate the system environmental impacts by up to 30%. ALENT can be used as a decision support tool for establishing sustainable passenger transportation systems. (C) 2017 American Society of Civil Engineers.