基于共享泊位分配模型的新建停车场规模  

The Scale of Newly-built Parking Lot Based on Shared Berth Allocation Model

作　　者：程刚[1,2] 胡冉 CHENG Gang;HU Ran(Tibet University Institute of Technology,Lhasa 850000,China;Center of Tibetan Studies(Everest Research Institute)in Tibet University,Lhasa 850000,China)

机构地区：[1]西藏大学工学院,拉萨850000 [2]西藏大学中国藏学研究所(珠峰研究院),拉萨850000

出　　处：《科学技术与工程》2021年第11期4656-4660,共5页Science Technology and Engineering

基　　金：国家自然科学基金(51968063);国家社会科学基金(18BSH077);武汉理工大学-西藏大学专项项目(lzt2020007);西藏大学校级培育项目(ZDTSJH19-01);西藏大学高原列车运行控制仿真平台建设项目。

摘　　要：为缓解城市停车泊位供需不均衡的问题,对城市新建停车场泊位规模问题进行研究。采用共享泊位分配模型对停车需求进行预测,在此基础上引入了灰理想关联熵理论提出停车场规模修正系数概念,实现了对新建停车场泊位数量规模的测算。选取拉萨神力时代商圈范围内的三个新建停车场为研究对象,对其商业区和居住区的停车泊位供给现状、停车需求实际、平均步行距离进行了调研和分析,在此基础上引入粒子群优化算法对共享泊位分配模型进行求解获取新建停车场的停车需求,进而结合修正系数对新建停车场的泊位规模进行确定。研究结果可以有效弥补共享泊位分配模型在实际应用中的不足,为解决城市商圈停车难问题提供一个有效的途径。The scale of urban new parking space was studied in this paper to alleviate the problem of the imbalance between the supply and demand of urban parking space.The shared berth allocation model was introduced to predict the parking demand,and grey ideal correlation entropy theory was used to propose the concept of parking lot scale correction coefficient.Then,the number of new parking lot berths was calculated.In the research,three newly-built parking lots within the business district of Lhasa Shenli era business district were selected as the research objects,and the current parking supply status,actual parking demand,and average walking distance of their commercial and residential areas were investigated and analyzed.The particle group optimization algorithm was introduced to obtain the parking demand of the newly-built parking lot,and the berth scale of the newly-built parking lot was calculated based on the correction coefficient.Results are expected to effectively make up for the shortcomings of the shared berth allocation model in practical applications and to provide a solution to the parking problem in urban commercial circles.

关 键 词：泊位共享模型 多目标粒子群算法 停车需求预测 灰理想关联熵 停车泊位规模 

分 类 号：U491.17[交通运输工程—交通运输规划与管理]