首页|W基于家庭通勤行为分析的共享停车优化研究

W基于家庭通勤行为分析的共享停车优化研究

扫码查看
共享停车是缓解早高峰城市中心区域车位紧张的有效手段.基于瓶颈理论构建汇流瓶颈路网下个人与家庭混合出行的均衡出行模型,考虑共享停车影响下的出行行为决策,在多停车场条件下分析家庭与个人的通勤行为,比较通学通勤时间差的不同对各类出行者的出行时间及出行成本的影响,并基于均衡模型对共享停车规模进行优化,分析交易成本对出行行为选择的影响.研究发现:在多停车位竞争的情况下,用户会产生更多的早到成本,当通学通勤时间差较大时可以延缓系统高峰期,扩大共享车位规模可以达到对系统的优化.故政府应合理设置通学通勤时间差,在考虑社会总成本的情况下制定相关政策对共享停车规模进行优化,对共享交易成本进行管理从而实现资源的合理利用.
Research on Shared Parking Optimization Based on Household Commuting Behavior Analysis
Shared parking is an effective means to alleviate the shortage of parking spaces in the central area of the city dur-ing the morning rush hour.Based on the bottleneck theory,an equilibrium travel model of individual and family mixed travel un-der the confluence bottleneck road network was constructed.Considering the travel behavior decision under the influence of shared parking,the commuting behavior of family and individual was analyzed under the condition of multiple parking lots.The influence of different commuting time difference on the travel time and travel cost of various travelers was compared.Based on the equilibrium model,the scale of shared parking was optimized,and the influence of transaction cost on travel behavior selection was analyzed.The study find that in the case of multi-parking space competition,users will generate more early arrival costs.When the commuting time difference is large,the peak period of the system can be delayed,and the expansion of the scale of shared parking spaces can achieve the optimization of the system.Therefore,the government should reasonably set the commuting time difference,formulate relevant policies to optimize the scale of shared parking considering the total social cost,and manage the cost of shared transaction so as to realize the rational utilization of resources.

urban trafficshared parkingbottleneck modelhousehold commutingmorning rush hour commute

杨洋、魏庆琦

展开 >

重庆交通大学 交通运输学院,重庆 400074

重庆交通大学 经济与管理学院,重庆 400074

城市交通 共享停车 瓶颈模型 家庭通勤 早高峰通勤

教育部人文社科基金项目重庆市自然科学基金面上项目重庆市教委人文社科基金项目重庆市教委人文社科基金项目

20YJC630156cstc2021jcyjmsxmX048220SKGH08021SKGH083

2024

武汉理工大学学报(信息与管理工程版)
武汉理工大学

武汉理工大学学报(信息与管理工程版)

CSTPCD
影响因子:0.37
ISSN:2095-3852
年,卷(期):2024.46(1)
  • 14