Spatial agent-based model for environmental assessment of passenger transportation

Miaojia Lu, Shu-Chien Hsu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

8 Citations (Scopus)


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.
Original languageEnglish
Article number04017016
JournalJournal of Urban Planning and Development
Issue number4
Publication statusPublished - 1 Dec 2017


  • Agent-based modeling (ABM)
  • High-speed railway (HSR)
  • Lifecycle environmental analysis
  • Logit model

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Development
  • Urban Studies


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