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Bounded rationality can increase parking search efficiency

Bounded rationality can increase parking search efficiency
Bounded rationality can increase parking search efficiency

The search for parking space in busy urban districts is one of those routine human activities that can benefit from the widespread adoption of pervasive sensing and radio communication technologies. Proposed parking assistance solutions combine sensors, either as fixed infrastructure or onboard vehicles, wireless networking technologies and mobile social applications running over smartphones to collect, share and present to drivers real-time information about parking availability and demand. One question that arises is how does (and should) the driver actually use such information to take parking decisions, e.g., whether to search for on-street parking space or drive to a parking lot and, in the latter case, which one. The paper is, hence, a performance analysis study that seeks to capture the highly behavioral and heuristic dimension of drivers' decisions and its impact on the efficiency of the parking search process. To this end we model drivers as agents of bounded rationality and consider lexicographic heuristics, an instance of the fast and frugal heuristics developed in behavioral sciences such as psychology and biology, as the mechanisms for their decisions. We analyze the performance of the search process under these heuristics and compare it against the predictions of normative game-theoretic models assuming fully rational strategically acting agents. We derive conditions under which the simpler heuristic decision-making rules outperform the complex norms and show their satisfaction under a broad range of scenarios concerning the fees charged for the parking resources and their distances from drivers' destinations. The practical implications of these results for parking assistance solutions are identified and thoroughly discussed.

195-204
Association for Computing Machinery
Karaliopoulos, Merkourios
c81adea1-3012-4999-81a0-f948bf5cfaa9
Katsikopoulos, Konstantinos
b97c23d9-8b24-4225-8da4-be7ac2a14fba
Lambrinos, Lambros
5df4a356-d277-45c4-b856-85d2fb0d32d7
Wu, Jie
Cheng, Xiuzhen
Karaliopoulos, Merkourios
c81adea1-3012-4999-81a0-f948bf5cfaa9
Katsikopoulos, Konstantinos
b97c23d9-8b24-4225-8da4-be7ac2a14fba
Lambrinos, Lambros
5df4a356-d277-45c4-b856-85d2fb0d32d7
Wu, Jie
Cheng, Xiuzhen

Karaliopoulos, Merkourios, Katsikopoulos, Konstantinos and Lambrinos, Lambros (2014) Bounded rationality can increase parking search efficiency. Wu, Jie and Cheng, Xiuzhen (eds.) In Proceedings of the 15th ACM international symposium on Mobile ad hoc networking and computing. Association for Computing Machinery. pp. 195-204 . (doi:10.1145/2632951.2632955).

Record type: Conference or Workshop Item (Paper)

Abstract

The search for parking space in busy urban districts is one of those routine human activities that can benefit from the widespread adoption of pervasive sensing and radio communication technologies. Proposed parking assistance solutions combine sensors, either as fixed infrastructure or onboard vehicles, wireless networking technologies and mobile social applications running over smartphones to collect, share and present to drivers real-time information about parking availability and demand. One question that arises is how does (and should) the driver actually use such information to take parking decisions, e.g., whether to search for on-street parking space or drive to a parking lot and, in the latter case, which one. The paper is, hence, a performance analysis study that seeks to capture the highly behavioral and heuristic dimension of drivers' decisions and its impact on the efficiency of the parking search process. To this end we model drivers as agents of bounded rationality and consider lexicographic heuristics, an instance of the fast and frugal heuristics developed in behavioral sciences such as psychology and biology, as the mechanisms for their decisions. We analyze the performance of the search process under these heuristics and compare it against the predictions of normative game-theoretic models assuming fully rational strategically acting agents. We derive conditions under which the simpler heuristic decision-making rules outperform the complex norms and show their satisfaction under a broad range of scenarios concerning the fees charged for the parking resources and their distances from drivers' destinations. The practical implications of these results for parking assistance solutions are identified and thoroughly discussed.

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More information

Published date: 11 August 2014
Venue - Dates: 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing, , Philadelphia, United States, 2014-08-11 - 2014-08-14

Identifiers

Local EPrints ID: 438614
URI: http://eprints.soton.ac.uk/id/eprint/438614
PURE UUID: f5865d94-86e2-4fc8-a3f8-4972f6bb5431
ORCID for Konstantinos Katsikopoulos: ORCID iD orcid.org/0000-0002-9572-1980

Catalogue record

Date deposited: 18 Mar 2020 17:33
Last modified: 17 Mar 2024 03:44

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Contributors

Author: Merkourios Karaliopoulos
Author: Lambros Lambrinos
Editor: Jie Wu
Editor: Xiuzhen Cheng

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