TITLE:
Agent-Based Simulation Research on Urban Land Development of San Diego
AUTHORS:
Runjiao Liu
KEYWORDS:
Multi-Agent System, Agent, Urban Land Use, Bottom-Up, Urban Expansion, Urban Renovation
JOURNAL NAME:
Current Urban Studies,
Vol.8 No.4,
December
29,
2020
ABSTRACT: This paper introduces an individual-based simulation model to study the land development process in San
Diego by using multi-agent simulation (MAS) software, where the urban expansion
activities are realized through the construction behaviors of three major types of
developer agents (residential/industrial/commercial). Except compiling codes
for the interaction activities between different kinds of agents and their
surrounding environment, this model also includes the analysis function of
urban renewal into the simulation process. And in order to find a suitable land
policy for urban growth management in San Diego, this paper conducts a
prediction research about future land development in three different types of
administration scenarios, and evaluates their simulation layouts from two
separate perspectives: visual observation and geometrical calculation. After
that, following the suggestions of comprehensive plan in 2050 and smart growth
principles, this paper proposes a series of measures for the improvement of
current land management, and verifies their effectiveness through the
comparison research between optimized scenario and other three administration
policies mentioned above. Also, for the purpose of increasing simulation layout’s
consistency with the real world, several possible ways are put forward to
optimize the modeling procedures at the end of this paper.