@inproceedings{4a941e4ae7c7467793d72e8d2c1f705d,
title = "An exploration of the effect of buyer preference and market composition on the rent gradient using the ALMA framework",
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.",
keywords = "agent-based modeling, land markets, spatial simulation",
author = "Alexander Michels and Kang, {Jeon Young} and Shaowen Wang",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020 ; Conference date: 03-11-2020",
year = "2020",
month = nov,
day = "3",
doi = "10.1145/3423335.3428167",
language = "English (US)",
series = "Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020",
publisher = "Association for Computing Machinery",
pages = "48--51",
editor = "Taylor Anderson and Joon-Seok Kim and Ashwin Shashidharan",
booktitle = "Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020",
address = "United States",
}