Modeling parking search behavior in the city center

• Verfasst von: Fulman, Nir [VerfasserIn]
• Verfasst von: Benenson, Itzhak [VerfasserIn]
• Verfasst von: Ben-Eliya, ʿEran [VerfasserIn]
• Titel: Modeling parking search behavior in the city center
• Titelzusatz: a game-based approach
• Verf.angabe: Nir Fulman, Itzhak Benenson, Eran Ben-Elia
• E-Jahr: 2020
• Jahr: 23 September 2020
• Umfang: 24 S.
• Fussnoten: Gesehen am 30.07.2024
• Titel Quelle: Enthalten in: Transportation research. Part C, Emerging technologies
• Ort Quelle: Amsterdam [u.a.] : Elsevier Science, 1993
• Jahr Quelle: 2020
• Band/Heft Quelle: 120(2020), Artikel-ID 102800, Seite 1-24
• ISSN Quelle: 1879-2359
• DOI: doi:10.1016/j.trc.2020.102800
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Biased random walk
• Sach-SW: Decision-making
• Sach-SW: Multinomial logit model
• Sach-SW: Parking search
• Sach-SW: Serious games
• Sach-SW: Survival analysis
• K10plus-PPN: 189697130X

Abstract

Drivers cruising for scarce on-street parking in city centers create negative externalities, including congestion and pollution. We apply a serious game - PARKGAME - to understand and model drivers' two intertwined instantaneous parking choices: when to quit cruising and where to cruise. Forty-nine participants took part in a lab experiment in which they had to arrive on time to a fictional appointment or face monetary penalties, and had to choose between uncertain but cheap on-street parking or a certain but costly parking lot. Scenarios diverged on the time to appointment and distance between the meeting place and parking lot locations. Participants played a series of 8 or 16 computer games on a Manhattan grid road network with high on-street parking occupancy and a nearby parking lot of unlimited capacity. Players’ parking choices were analyzed with accelerated-failure time (AFT) and multinomial logistic regression models. Results show that drivers are mostly myopic and risk-averse, and quit their on-street parking search long before the optimal moment. Spatially, drivers are attracted by the lot-destination axis, and their turn choices at junctions comply with a second-order biased random walk. The implications of game-based methods for simulation model development and sustainable parking policy are further discussed.