An Agent-Based Simulation of Residential Location Choice of Tenants in Tehran, Iran
Authored by Babakan Ali Shirzadi, Abbas Alimohammadi
Date Published: 2016
DOI: 10.1111/tgis.12144
Sponsors:
No sponsors listed
Platforms:
MATLAB
Model Documentation:
Other Narrative
Flow charts
Mathematical description
Model Code URLs:
Model code not found
Abstract
Residential location choice modeling is one of the substantial
components of land use and transportation models. While numerous
aggregated mathematical and statistical approaches have been developed
to model the residence choice behavior of households, disaggregated
approaches such as the agent-based modeling have shown interesting
capabilities. In this article, a novel agent-based approach is developed
to simulate the residential location choice of tenants in Tehran, the
capital of Iran. Tenants are considered as agents who select their
desired residential alternatives according to their characteristics and
preferences for various criteria such as the rent, accessibility to
different services and facilities, environmental pollution, and distance
from their workplace and former residence. The choice set of agents is
limited to their desired residential alternatives by applying a
constrained NSGA-II algorithm. Then, agents compete with each other to
select their final residence among their alternatives. Results of the
proposed approach are validated by comparing simulated and actual
residences of a sample of tenants. Results show that the proposed
approach is able to accurately simulate the residence of 59.3\% of
tenants at the traffic analysis zone level.
Tags
Microsimulation
Land-use
Model
accessibility
transportation
Housing markets
Algorithm
Urban-development
Of-the-art
Nsga-ii