Evaluating the Impacts of Parking App Services on Travellers' Choice Behaviour and Traffic Dynamics

  • Jingjing Liang School of Economics and Management, Tongji University, Shanghai, China
  • Xiaoning Zhang School of Economics and Management, Tongji University, Shanghai, China
  • Huang Yan School of Economics and Management, Tongji University, Shanghai, China
DOI: https://doi.org/10.7307/ptt.v32i2.3162
Keywords: parking app services, parking policies, traffic dynamics, traveller’s choice behaviour, learning behaviour theory

Abstract

As the products of intelligent transportation systems, parking apps have become convenient platforms for implementing parking policies, which can be provided as parking app services. This paper proposes a traffic simulation model for evaluating the impacts of parking app services on the travellers’ choice behaviour and traffic dynamics. Travellers are assumed to use three types of parking app services: the provision of information on real-time parking lot occupancies, parking reservation, and the display of dynamic parking fees. The behaviour of travellers, such as travellers’ mode choices, departure time choices, and learning behaviour, are considered in this model. Numerical experiments show that providing information on real-time parking lot occupancies can be helpful in reducing the use ratio of commercial parking lots, but the effect will ultimately be smoothed during the evolution of traffic dynamics. Moreover, parking reservation is an effective way to reduce travel costs and encourage travellers to choose park-and-ride. Furthermore, dynamic parking fees usually lead to the oscillation of traffic dynamics and travellers’ choices, in addition to an increase in travel costs. This model is a useful tool for analysing the impacts of other parking management policies that can be implemented as parking app services and can be a reference for evaluating the impacts of other parking polices.

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Jingjing Liang, School of Economics and Management, Tongji University, Shanghai, China

Ph.D. candidate at the School of Economics and Management, Tongji University, Shanghai, China. She is interested in traffic management, intelligent transportation systems, traffic economy.

Xiaoning Zhang, School of Economics and Management, Tongji University, Shanghai, China

Full professor at the School of Economics and Management, Tongji University, Shanghai, China. He received a doctor’s degree in  civil engineering from Hong Kong University of Science and Technology in Hong Kong, China. He is interested in traffic management, traffic ploicy, optimization and management of traffic systems, traffic economy. He has published over 100 papers in above fields, most of these papers are published in high-level journals and indexed by SCI, SSCI and EI.

Huang Yan, School of Economics and Management, Tongji University, Shanghai, China

Ph.D. candidate at the School of Economics and Management, Tongji University, Shanghai, China. He is interested in traffic management, traffic demand, optimization of traffic systems.

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Published
2020-03-12
How to Cite
1.
Liang J, Zhang X, Yan H. Evaluating the Impacts of Parking App Services on Travellers’ Choice Behaviour and Traffic Dynamics. Promet [Internet]. 2020Mar.12 [cited 2024Dec.25];32(2):179-91. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/3162
Issue
Vol 32 No 2 (2020)
Section
Articles

Copyright (c) 2020 Jingjing Liang, Xiaoning Zhang, Huang Yan

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