Simulating individual work trips for transit-facilitated accessibility study
Authored by Ruihong Huang
Date Published: 2019
DOI: 10.1177/2399808317702148
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Abstract
To measure job accessibility, person-based approaches have the advantage
to capture all accessibility components: land use, transportation
system, individual's mobility and travel preference, as well as
individual's space and time constraints. This makes person-based
approaches more favorable than traditional aggregated approaches in
recent years. However, person-based accessibility measures require
detailed individual trip data which are very difficult and expensive to
acquire, especially at large scales. In addition, traveling by public
transportation is a highly time sensitive activity, which can hardly be
handled by traditional accessibility measures. This paper presents an
agent-based model for simulating individual work trips in hoping to
provide an alternative or supplementary solution to person-based
accessibility study. In the model, population is simulated as three
levels of agents: census tracts, households, and individual workers. And
job opportunities (businesses) are simulated as employer agents. Census
tract agents have the ability to generate household and worker agents
based on their demographic profiles and a road network. Worker agents
are the most active agents that can search jobs and find the best paths
for commuting. Employer agents can estimate the number of
transit-dependent employees, hire workers, and update vacancies. A case
study is conducted in the Milwaukee metropolitan area in Wisconsin.
Several person-based accessibility measures are computed based on
simulated trips, which disclose low accessibility inner city
neighborhoods well covered by a transit network.
Tags
Simulation
Agent-based modeling
GIS
networks
Microsimulation
Geographic information systems
Model
accessibility
Location
Impacts
Choice
Access
Travel-time
Transit
Work trip
Space-time