Please use this identifier to cite or link to this item:
PIRA download icon_1.1View/Download Full Text
Title: Empirical analysis of parking behaviour of conventional and electric vehicles for parking modelling : a case study of Beijing, China
Authors: Zhuge, C 
Shao, C
Li, X
Issue Date: 2019
Source: Energies, 2019, v. 12, no. 16, 3073
Abstract: An empirical study of the parking behaviour of Conventional Vehicles (CVs), Battery Electric Vehicles (BEVs), and Plug-in Hybrid Electric Vehicles (PHEVs) was carried out with the data collected in a paper-based questionnaire survey in Beijing, China. The study investigated the factors that might influence the parking behaviour, with a focus on the maximum acceptable time of walking from parking lot to trip destination, parking fee, the availability of charging posts, the state of charge of EVs and the range anxiety of BEVs. Several Multinomial Logit (MNL) models were developed to explore the relationships between individual attributes and parking choices. The results suggest that (1) the maximum acceptable walking time generally increases with the rise in the amount of saving for parking fee; (2) the availability of charging posts does not influence the maximum acceptable walking time when PHEVs and BEVs have sufficient charge, but the percentage of people willing to walk longer than eight minutes increases from around 35% to 46% when PHEVs are in a low stage of charge; (3) more than half of BEV drivers want the driving range of their vehicles to be one and a half times the driving distance before they depart, given the distance is 50 km. Based on the empirical findings above, a conceptual framework was proposed to explicitly simulate the parking behaviour of both CVs and EVs using agent-based modelling.
Keywords: Agent-based modelling
Charging behaviour
Electric vehicles
Multinomial Logit (MNL) model
Parking behaviour
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: Energies 
EISSN: 1996-1073
DOI: 10.3390/en12163073
Rights: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
The following publication Zhuge C, Shao C, Li X. Empirical Analysis of Parking Behaviour of Conventional and Electric Vehicles for Parking Modelling: A Case Study of Beijing, China. Energies. 2019; 12(16):3073, is available at
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Zhuge_Empirical_Analysis_Parking.pdf3.33 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

Last Week
Last month
Citations as of May 28, 2023


Citations as of May 28, 2023


Citations as of May 25, 2023


Citations as of May 25, 2023

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.