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

doi:10.1145/3423335.3428167

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 proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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 language	English
Title of host publication	Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020
Editors	Taylor Anderson, Joon-Seok Kim, Ashwin Shashidharan
Publisher	Association for Computing Machinery, Inc
Pages	48-51
Number of pages	4
ISBN (Electronic)	9781450381611
DOIs	https://doi.org/10.1145/3423335.3428167
Publication status	Published - 3 Nov 2020
Event	3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020 - Seattle, United States Duration: 3 Nov 2020 → …

Publication series

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

Conference

Conference	3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020
Country/Territory	United States
City	Seattle
Period	3/11/20 → …

Bibliographical note

Publisher Copyright:
© 2020 ACM.

Keywords

agent-based modeling
land markets
spatial simulation

Access to Document

10.1145/3423335.3428167

Cite this

Michels, A., Kang, J. Y., & Wang, S. (2020). An exploration of the effect of buyer preference and market composition on the rent gradient using the ALMA framework. In T. Anderson, J.-S. Kim, & A. Shashidharan (Eds.), Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020 (pp. 48-51). (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020). Association for Computing Machinery, Inc. https://doi.org/10.1145/3423335.3428167

Michels, Alexander ; Kang, Jeon Young ; Wang, Shaowen. / An exploration of the effect of buyer preference and market composition on the rent gradient using the ALMA framework. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020. editor / Taylor Anderson ; Joon-Seok Kim ; Ashwin Shashidharan. Association for Computing Machinery, Inc, 2020. pp. 48-51 (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020).

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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.",

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author = "Alexander Michels and Kang, {Jeon Young} and Shaowen Wang",

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doi = "10.1145/3423335.3428167",

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Michels, A, Kang, JY & Wang, S 2020, An exploration of the effect of buyer preference and market composition on the rent gradient using the ALMA framework. in T Anderson, J-S Kim & A Shashidharan (eds), Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020, Association for Computing Machinery, Inc, pp. 48-51, 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020, Seattle, United States, 3/11/20. https://doi.org/10.1145/3423335.3428167

An exploration of the effect of buyer preference and market composition on the rent gradient using the ALMA framework. / Michels, Alexander; Kang, Jeon Young; Wang, Shaowen.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020. ed. / Taylor Anderson; Joon-Seok Kim; Ashwin Shashidharan. Association for Computing Machinery, Inc, 2020. p. 48-51 (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Michels A, Kang JY, Wang S. An exploration of the effect of buyer preference and market composition on the rent gradient using the ALMA framework. In Anderson T, Kim JS, Shashidharan A, editors, Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020. Association for Computing Machinery, Inc. 2020. p. 48-51. (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020). doi: 10.1145/3423335.3428167

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

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