@article{3fd6bd024bc541babd286920d77cf975,
title = "Analysis of parking cruising behaviour and parking location choice",
abstract = "This paper explores car drivers{\textquoteright} cruising behaviour and location choice for curb parking in areas with insufficient parking space based on a survey of car drivers in Beijing, China. Preliminary analysis of the data show that car drivers{\textquoteright} cruising behaviour is closely related to their parking duration and parking location. A multinomial probit (MNP) model is used to analyse cruising behaviour and the results show that the closer to the destination car drivers are, the more likely they choose to park on the curb. The adjacent locations are the basis of car drivers{\textquoteright} sequential parking decisions at different locations. The research results provide a better understanding of cruising behaviour for parking and recommendations for reducing cruising for parking. The provision of parking information can help regulate the parking demand distribution.",
keywords = "Parking, case study, cruising behaviour, multinomial probit model, parking location choice, sequential decisions",
author = "Huanmei Qin and Xiuhan Yang and Wu, {Yao Jan} and Hongzhi Guan and Pengfei Wang and Nasrin Shahinpoor",
note = "Funding Information: The authors would like to thank Prof. Yusen Chen from Delft University of Technology and anonymous reviewers for their valuable comments and suggestions. This research was supported by International research cooperation seed fund of Beijing University of Technology (No. 2018), National Natural Science Foundation (No. 51338008), Natural Science Foundation of Hebei Province (No. E2018407051), and University Scientific Research Project of Hebei Province (No. QN2018263) of China. Funding Information: This research was supported by International research cooperation seed fund of Beijing University of Technology in China (No. 2018), National Natural Science Foundation of China (No. 51338008), Natural Science Foundation of Hebei Province (No. E2018407051), and University Scientific Research Project of Hebei Province in China (No. QN2018263) of China. The authors would like to thank Prof. Yusen Chen from Delft University of Technology and anonymous reviewers for their valuable comments and suggestions. This research was supported by International research cooperation seed fund of Beijing University of Technology (No. 2018), National Natural Science Foundation (No. 51338008), Natural Science Foundation of Hebei Province (No. E2018407051), and University Scientific Research Project of Hebei Province (No. QN2018263) of China. Publisher Copyright: {\textcopyright} 2020 Informa UK Limited, trading as Taylor & Francis Group.",
year = "2020",
month = oct,
day = "2",
doi = "10.1080/03081060.2020.1805545",
language = "English (US)",
volume = "43",
pages = "717--734",
journal = "Transportation Planning and Technology",
issn = "0308-1060",
publisher = "Taylor and Francis Ltd.",
number = "7",
}