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

被引：1

作者：

Kolomatskiy, Andrey ^{[1
]}

Baranov, Dmitriy ^{[1
,2
]}

Korchagin, Vladislav ^{[2
]}

Volotskiy, Timofey ^{[1
,2
]}

机构：

[1] ITMO Univ, Kronverkskiy Pr 49, St Petersburg 197101, Russia

[2] OTSLAB, Birzhevaya Liniya 14, St Petersburg 199034, Russia

来源：

11TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 3RD INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS | 2020年 / 170卷

关键词：

agent-based modeling; demand responsive transit; parking policy; RESPONSIVE TRANSPORT; ECONOMICS; SEARCH; MODEL;

D O I：

10.1016/j.procs.2020.03.153

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents the method to perform the sensitivity analysis of demand responsive transit demand to the parking pricing policies using micro simulation. 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). (C) 2020 The Authors. Published by Elsevier B.V.

引用

页码：799 / 806

页数：8

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