摘要
为缓解共享单车停车空间不足导致的乱停乱放问题,提出共享单车停车分流引导策略,并根据用户行为选择设置相应的奖励措施。设计叙述性偏好问卷调查,获取用户行为选择偏好数据,运用Logit模型进行分析并构建激励共享单车用户分流停车的奖励机制;构建以企业成本最小和转移停车需求最大为目标的多目标优化模型,提出引导用户分流停车的策略。以西三旗永泰庄地铁站为例检验了该策略的实际可操作性,结果表明策略用户接受度达60%,预计成功转移58.33%的过量停车需求。该策略能够在一定程度上缓解由于停车空间不足导致的共享单车停车问题,可以为共享单车停车管理提供有效指导。
To alleviate the random-parking problem of shared bicycles due to insufficient parking spaces, this paper proposes a diversion guidance strategy for parking shared bicycles and sets the corresponding reward measures according to user behavior. A survey of stated preference is designed to obtain the user behavior choice preference data. Subsequently, the Logit model is used to analyze the data and build a reward mechanism to encourage the diversion parking by shared-bicycle users. Moreover, a multiobjective optimization model is constructed for minimizing enterprise cost and maximizing transfer parking demand. Yongtaizhuang subway station in Xisanqi is used as an example to examine the practical operability of this strategy. Results show that the user acceptance of the proposed strategy is 60%, and 58.33% of the excessive parking demand is successfully transferred. This strategy can mitigate the problem of insufficient parking spaces for shared bicycles to a certain degree and provides effective suggestions for managing the parking of shared bicycles.
作者
彭芃
贾顺平
PENG Peng;JIA Shun-ping(School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China)
出处
《山东科学》
CAS
2022年第6期123-130,共8页
Shandong Science
关键词
城市交通
共享单车停车
用户偏好
奖励机制
引导策略
urban transportation
shared-bicycle parking
user preferences
reward mechanism
guidance strategy
