Shared parking effectively optimizes urban parking resources while making full use of private parking spaces and satisfying the growing demand for parking in large cities.However,some owners are unwilling to share pri...Shared parking effectively optimizes urban parking resources while making full use of private parking spaces and satisfying the growing demand for parking in large cities.However,some owners are unwilling to share private parking spaces and oppose the community in conducting shared parking projects.To promote the sharing of private parking spaces,we use a complex network evolutionary game method to depict the impact of owners’unfavourable relationships on individuals’decision processes in real time and explore the impact of management mechanisms on owners’willingness to share.The results demonstrate that the EWA algorithm,which focuses on experiential learning and adaptability,is more conducive to promoting owner cooperation,whereas neighbour-avoidance conflict costs resulting from interactions between owners restrict cooperative behaviour,and a higher number of network owners is detrimental to cooperation.A platform improves the rejection rate of parking requests and overtime inconvenience cost is conducive to cooperation,but overtime probability and time window conflict cost reduce owners’willingness to share.The government can lessen these adverse effects by adding compensation to all owners and increasing the public opinion adjustment coefficient to promote cooperative behaviour and increase the number of shared parking spaces.展开更多
基金support from fundings and the Humanities and Social Science Research Foundation of China’s Ministry of Education(Grant No.20YJC630156)the Natural Science Foundation of Chongqing(Grant No.cstc2021jcyjmsxmX0482)the Humanities and Social Science Foundation of Chongqing Education Commission(Grant Nos.20SKGH080 and 21SKGH083)。
文摘Shared parking effectively optimizes urban parking resources while making full use of private parking spaces and satisfying the growing demand for parking in large cities.However,some owners are unwilling to share private parking spaces and oppose the community in conducting shared parking projects.To promote the sharing of private parking spaces,we use a complex network evolutionary game method to depict the impact of owners’unfavourable relationships on individuals’decision processes in real time and explore the impact of management mechanisms on owners’willingness to share.The results demonstrate that the EWA algorithm,which focuses on experiential learning and adaptability,is more conducive to promoting owner cooperation,whereas neighbour-avoidance conflict costs resulting from interactions between owners restrict cooperative behaviour,and a higher number of network owners is detrimental to cooperation.A platform improves the rejection rate of parking requests and overtime inconvenience cost is conducive to cooperation,but overtime probability and time window conflict cost reduce owners’willingness to share.The government can lessen these adverse effects by adding compensation to all owners and increasing the public opinion adjustment coefficient to promote cooperative behaviour and increase the number of shared parking spaces.
