Spatial Agent-Based Model for Environmental Assessment of Passenger Transportation
Authored by Miaojia Lu, Shu-Chien Hsu
Date Published: 2017
DOI: 10.1061/(asce)up.1943-5444.0000403
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Abstract
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.
Tags
Dynamics
networks
Agent-based modeling (ABM)
Logit model
City
High-speed railway (hsr)
Lifecycle environmental analysis
High-speed rail