Modeling parking search behavior in the city center: a game-based approach
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-...
Gespeichert in:
| Hauptverfasser: | , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
23 September 2020
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| In: |
Transportation research. Part C, Emerging technologies
Year: 2020, Jahrgang: 120, Pages: 1-24 |
| ISSN: | 1879-2359 |
| DOI: | 10.1016/j.trc.2020.102800 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.trc.2020.102800 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S0968090X20307099 
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| Verfasserangaben: | Nir Fulman, Itzhak Benenson, Eran Ben-Elia |
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| 520 | |a 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. | ||
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| 650 | 4 | |a Parking search | |
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