TY - JOUR
T1 - Booking versus search-based parking strategy: A game-theoretic methodology
AU - Tan, Bing Qing
AU - Xu, Su Xiu
AU - Thürer, Matthias
AU - Kang, Kai
AU - Zhao, Zhiheng
AU - Li, Ming
N1 - Funding Information:
The authors acknowledge the support from the Humanities and Social Sciences Foundation of Ministry of Education of China (No. 23YJC630158 ), the National Natural Science Foundation of China (No. 72071093 and 72321002 ), Scientific Research Foundation for Young Scholars of Shenzhen University ( 1032305 ), the third phase of high-level university construction of interdisciplinary innovation team project of Shenzhen University ( 24JCXK03 ), RGC Research Impact Fund (No. R7036-22 ), RGC TRS Project (No. T32-707-22-N ), and 2019 Guangdong Special Support Talent Program-Innovation and Entrepreneurship Leading Team (China) (No. 2019BT02S593 ).
Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/5
Y1 - 2024/5
N2 - With the proliferation of digital platforms, the parking landscape has undergone a transformation, offering more than the traditional first-come-first-served parking option. The reservation-based parking mode has gained considerable popularity. Obviously, there is a competitive relationship between these two parking modes, posing a challenge for parking management authorities to achieve a balance. This study investigates pricing strategies in a duopoly parking market, comprising two distinct types of parking companies: search-based and reservation-based. We analyze three power structure models: (i) the Bertrand model, (ii) the Stackelberg model with the reservation-based parking company as a leader, and (iii) the Stackelberg model with the search-based parking company as a leader. Additionally, we develop a three-player game model that considers the involvement of the third-party investor in the reservation mode. Our findings indicate that the overall profit of the search-based parking company declines when the driver preference of reservation-based parking company increases. Moreover, reservation-based parking companies exhibit greater robustness compared to their search-based counterparts when facing penalty delays and fluctuations in waiting costs. Furthermore, a prudent evaluation is advised for the third-party investor when assessing investment opportunities, especially in scenarios where drivers demonstrate a pronounced preference for search-based parking companies.
AB - With the proliferation of digital platforms, the parking landscape has undergone a transformation, offering more than the traditional first-come-first-served parking option. The reservation-based parking mode has gained considerable popularity. Obviously, there is a competitive relationship between these two parking modes, posing a challenge for parking management authorities to achieve a balance. This study investigates pricing strategies in a duopoly parking market, comprising two distinct types of parking companies: search-based and reservation-based. We analyze three power structure models: (i) the Bertrand model, (ii) the Stackelberg model with the reservation-based parking company as a leader, and (iii) the Stackelberg model with the search-based parking company as a leader. Additionally, we develop a three-player game model that considers the involvement of the third-party investor in the reservation mode. Our findings indicate that the overall profit of the search-based parking company declines when the driver preference of reservation-based parking company increases. Moreover, reservation-based parking companies exhibit greater robustness compared to their search-based counterparts when facing penalty delays and fluctuations in waiting costs. Furthermore, a prudent evaluation is advised for the third-party investor when assessing investment opportunities, especially in scenarios where drivers demonstrate a pronounced preference for search-based parking companies.
KW - Driver behavior heterogeneity
KW - Game theory
KW - Pricing
KW - Reservation-based parking
KW - Search-based parking
UR - http://www.scopus.com/inward/record.url?scp=85186521735&partnerID=8YFLogxK
U2 - 10.1016/j.retrec.2024.101416
DO - 10.1016/j.retrec.2024.101416
M3 - Journal article
AN - SCOPUS:85186521735
SN - 0739-8859
VL - 104
JO - Research in Transportation Economics
JF - Research in Transportation Economics
M1 - 101416
ER -