Environmental equity analysis in agent-based transport simulations: A study on causation and exposure

Nico Kuehnel; Wei Chieh Huang; Rolf Moeckel

doi:10.1016/j.procs.2021.03.081

Environmental equity analysis in agent-based transport simulations: A study on causation and exposure

Nico Kuehnel, Wei Chieh Huang, Rolf Moeckel

Professur für Verkehrsverhalten

Technische Universität München

Publikation: Beitrag in Fachzeitschrift › Konferenzartikel › Begutachtung

4 Zitate (Scopus)

Abstract

This paper utilizes an agent-based transport simulation to analyze environmental equity issues for the example of road traffic noise in the greater Berlin metropolitan area. We investigate the distribution of noise exposure and causation linked to individual agents. In addition, spatial patterns at the community level are analyzed. Results confirm agent-based models' suitability for equity analyses as they can represent detailed exposure and causation levels. We find that the causation of noise is considerably more unequally distributed than the exposure thereof. In addition, suburban environments tend to cause significant shares of noise in the metropolitan cities.

Originalsprache	Englisch
Seiten (von - bis)	650-655
Seitenumfang	6
Fachzeitschrift	Procedia Computer Science
Jahrgang	184
DOIs	https://doi.org/10.1016/j.procs.2021.03.081
Publikationsstatus	Veröffentlicht - 2021
Veranstaltung	12th International Conference on Ambient Systems, Networks and Technologies, ANT 2021 / 4th International Conference on Emerging Data and Industry 4.0, EDI40 2021 / Affiliated Workshops - Warsaw, Polen Dauer: 23 März 2021 → 26 März 2021

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title = "Environmental equity analysis in agent-based transport simulations: A study on causation and exposure",

abstract = "This paper utilizes an agent-based transport simulation to analyze environmental equity issues for the example of road traffic noise in the greater Berlin metropolitan area. We investigate the distribution of noise exposure and causation linked to individual agents. In addition, spatial patterns at the community level are analyzed. Results confirm agent-based models' suitability for equity analyses as they can represent detailed exposure and causation levels. We find that the causation of noise is considerably more unequally distributed than the exposure thereof. In addition, suburban environments tend to cause significant shares of noise in the metropolitan cities.",

keywords = "Agent-based model, Environmental equity, Traffic noise",

author = "Nico Kuehnel and Huang, {Wei Chieh} and Rolf Moeckel",

note = "Publisher Copyright: {\textcopyright} 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/); 12th International Conference on Ambient Systems, Networks and Technologies, ANT 2021 / 4th International Conference on Emerging Data and Industry 4.0, EDI40 2021 / Affiliated Workshops ; Conference date: 23-03-2021 Through 26-03-2021",

year = "2021",

doi = "10.1016/j.procs.2021.03.081",

language = "English",

volume = "184",

pages = "650--655",

journal = "Procedia Computer Science",

issn = "1877-0509",

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T1 - Environmental equity analysis in agent-based transport simulations

T2 - 12th International Conference on Ambient Systems, Networks and Technologies, ANT 2021 / 4th International Conference on Emerging Data and Industry 4.0, EDI40 2021 / Affiliated Workshops

AU - Kuehnel, Nico

AU - Huang, Wei Chieh

AU - Moeckel, Rolf

PY - 2021

Y1 - 2021

N2 - This paper utilizes an agent-based transport simulation to analyze environmental equity issues for the example of road traffic noise in the greater Berlin metropolitan area. We investigate the distribution of noise exposure and causation linked to individual agents. In addition, spatial patterns at the community level are analyzed. Results confirm agent-based models' suitability for equity analyses as they can represent detailed exposure and causation levels. We find that the causation of noise is considerably more unequally distributed than the exposure thereof. In addition, suburban environments tend to cause significant shares of noise in the metropolitan cities.

AB - This paper utilizes an agent-based transport simulation to analyze environmental equity issues for the example of road traffic noise in the greater Berlin metropolitan area. We investigate the distribution of noise exposure and causation linked to individual agents. In addition, spatial patterns at the community level are analyzed. Results confirm agent-based models' suitability for equity analyses as they can represent detailed exposure and causation levels. We find that the causation of noise is considerably more unequally distributed than the exposure thereof. In addition, suburban environments tend to cause significant shares of noise in the metropolitan cities.

KW - Agent-based model

KW - Environmental equity

KW - Traffic noise

UR - http://www.scopus.com/inward/record.url?scp=85106691364&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2021.03.081

DO - 10.1016/j.procs.2021.03.081

M3 - Conference article

AN - SCOPUS:85106691364

SN - 1877-0509

VL - 184

SP - 650

EP - 655

JO - Procedia Computer Science

JF - Procedia Computer Science

Y2 - 23 March 2021 through 26 March 2021

ER -

Environmental equity analysis in agent-based transport simulations: A study on causation and exposure

Abstract

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