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Estimation of informal park-and-ride.

Authors :
Knapen, Luk
Bellemans, Tom
Dugundji, Elenna
van der Mei, Rob
Source :
Procedia Computer Science; 2024, Vol. 238, p32-40, 9p
Publication Year :
2024

Abstract

Curbside parking in a residential area may be induced by the presence of a public transport stop. Travelers may park their car near the stop and continue their trip to the city center by other means. This is called informal park-and-ride. The magnitude of the phenomenon is estimated by simulation. Parking demand is derived from the history of parking time (tickets) sold at vending machines. For each ticket, an activity location is determined by stochastic sampling from a buildings (facilities) database based on the position of the vending machine. The activity timing is derived from the parking duration specified by the ticket. Suitable parking spots for an activity are determined for the cases (i) drive-park-walk and (ii) drive-park-publicTransport-walk respectively. The generalized cost (based on money and travel duration) is determined for both options. The decision is sampled by means of a behavioural model. Several scenarios are considered and the results allow to evaluate the complaints issued by residents of a study area because microsimulation enables the generation of probability densities for parking occupation in such area in each scenario. This paper reports how the method is applied to a study area in Amsterdam. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18770509
Volume :
238
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
178317924
Full Text :
https://doi.org/10.1016/j.procs.2024.05.193