An exploration of the effect of buyer preference and market composition on the rent gradient using the ALMA framework

Alexander Michels, Jeon Young Kang, Shaowen Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Urban land markets exhibit complex emergent behaviors that have yet to be fully explained by the microeconomic decision-making which constitutes the market. The Agent-based Land MArket (ALMA) framework has been introduced to simulate a bilateral agent-based land market that produces a rent gradient. In this paper, we extend the ALMA framework by introducing two new parameters, heterogeneity, and stochasticity which allow us to explore how the rent gradient is affected by buyers with diverse preferences and a range of market compositions.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020
EditorsTaylor Anderson, Joon-Seok Kim, Ashwin Shashidharan
PublisherAssociation for Computing Machinery, Inc
Pages48-51
Number of pages4
ISBN (Electronic)9781450381611
DOIs
StatePublished - Nov 3 2020
Event3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020 - Seattle, United States
Duration: Nov 3 2020 → …

Publication series

NameProceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020

Conference

Conference3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020
CountryUnited States
CitySeattle
Period11/3/20 → …

Keywords

  • agent-based modeling
  • land markets
  • spatial simulation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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