Assessing the effect of different parking pricing policies on DRT demand using multiagent traffic simulation, case study of St. Petersburg | Zendy

Andrey Kolomatskiy | Zendy; D. A. Baranov | Zendy; Vladislav Korchagin | Zendy; Timofey Volotskiy | Zendy

Open Access

Assessing the effect of different parking pricing policies on DRT demand using multiagent traffic simulation, case study of St. Petersburg

Author(s) -

Andrey Kolomatskiy,

D. A. Baranov,

Vladislav Korchagin,

Timofey Volotskiy

Publication year - 2020

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2020.03.153

Subject(s) - microsimulation , computer science , congestion pricing , transport engineering , traffic congestion , mode (computer interface) , operations research , sensitivity (control systems) , on demand , simulation , multimedia , electronic engineering , engineering , operating system

This paper presents the method to perform the sensitivity analysis of demand responsive transit demand to the parking pricing policies using microsimulation. Both the disutility of parking search cruising and parking fees are considered in the mode choice model. The preliminary results suggest that parking pricing policies may affect the DRT demand, reduce the overall congestion and vehicles kilometers travelled by car. In the St. Petersburg scenario up to 50% of DRT users, that have switched from the car, have previously parked the car in the city center, mostly for the prolonged time period (4 to 8 hours).

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