Exploring the role of worker income and workplace characteristics on the journey to work
Authored by Davis Chacon-Hurtado, Konstantina Gkritza, Jon D Fricker, David J Yu
Date Published: 2019
DOI: 10.1080/15568318.2018.1490466
Sponsors:
No sponsors listed
Platforms:
NetLogo
Model Documentation:
Other Narrative
Flow charts
Model Code URLs:
Model code not found
Abstract
Traditional trip distribution processes that rely heavily on gravity
models fail to capture how the characteristics of individuals or the
heterogeneity in the attributes of attraction zones may influence the
accessibility to jobs and, therefore, journey-to-work patterns.
Different approaches, such as destination choice models, are not
generally applied because of limited data availability and calibration
requirements. This paper proposes an alternative approach to overcome
this challenge by combining a utility-based measure of accessibility and
a maximum range of commuting distance to predict the journey-to-work
patterns of individual worker-agents using an open-access database. A
multinomial logit model is estimated and an agent-based model is
developed using data from the Census Transportation Planning Products
(CTPP) 5-year database. The proposed methodology is demonstrated using a
case study based on Tippecanoe County, Indiana, and the results are
compared to a double-constrained gravity model. Results indicate that
the utility functions derived from the CTPP database can replicate the
aggregated journey-to-work patterns by income levels. Furthermore, it
was found that the utility functions for low-, middle-, and
high-household income groups could be different. Finally, while a
calibrated gravity model could produce a trip-length distribution and
average commuting distance more similar to observed data, the
destination choice model provides more insights into the trip patterns
across different household income groups, thereby providing a better
basis for policy analysis.
Tags
behavior
models
Land-use
systems
accessibility
transportation
Agent-based model (ABM)
residential location
Choice
Destination choice models
Journey-to-work
Trip distribution