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枢纽网约车停车选择行为与管理策略研究
Study on Parking Selection Behavior and Management Strategies of Online Car-Hailing in Hub

DOI: 10.12677/OJTT.2019.83019, PP. 155-165

Keywords: 网约车,停车行为,停车费率,非集计模型,停车管理策略
Online Car-Hailing
, Parking Behavior, Parking Rate, Disaggregate Model, Parking Management Strategy

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Abstract:

网约车出行在城市公共出行服务中占有一定比例,其在机场、火车站等城市对外交通枢纽区域的停车行为引发了新的停车管理需求。为了深化研究网约车在枢纽区域的停车需求,本文以机场网约车的停车行为为研究对象,采用RP/SP相结合的方法,采集并分析停车行为数据,筛选停车行为的影响因素,依据效用理论,确定免费停车时长、停车费率等变量与停车选择概率之间的数学函数关系,建立停车效用最大化为目标的停车选择行为的BL模型。研究结果表明:停车费率、免费停车时长、停车点到航站楼距离、违停惩罚力度对网约车停车选择行为有显著影响。当停车费率 > 10元/小时且<25元/小时,网约车停车选择概率的变化值较大;当免费停车时长 > 20 min且<40 min时,网约车停车选择概率的变化率较大;当停车场位置距离进出站口 > 250 m时,网约车停车选择概率显著降低;违停惩罚措施对网约车停车选择行为有显著影响。该研究结果有助于优化管理策略,提高机场陆侧停车系统的运行效率,提高上下客效率,规范机场停车行为。
Online car-hailing accounts for a certain proportion of urban public travel services, and its park-ing behavior in airports, railway stations and other urban external transport hub areas has trig-gered new parking management needs. In order to deepen the study of parking demand in hub areas for networked vehicles, this paper takes the parking behavior of airport network car ap-pointment as the research object, the RP/SP method is used to collect and analyze parking beha-vior data, screens the influencing factors of parking behavior. According to the utility theory, the mathematical function relationship between the free parking time, the parking rate and other variables and the parking choice probability is determined, and a BL model in which the parking utility maximizes the target parking choice behavior is established. The result shows that parking rate, free parking time, distance from parking point to terminal, and penalty for parking violation have significant effects on parking choice behavior. When the parking rate is more than 10 Yuan/hour and less than 25 Yuan/hour, the change value of parking choice probability is larger; when the free parking time is longer than 20 minutes and less than 40 minutes, the change value of parking choice probability is larger; when the parking lot location is more than 250 m from the entrance and exit, the probability of parking choice is significantly reduced, and the penalty measures for parking violation have a significant impact on parking choice behavior. The research results are helpful to optimize the management strategy, improve the operation efficiency of the airport land parking system, improve the efficiency of passengers, and standardize the parking behavior of the airport.

References

[1]  Shaheen, S.A. and Cohen, A.P. (2008) Worldwide Car Sharing Growth: An International Comparison. Transportation Research Record: Journal of the Transportation Research Board, No. 1992, 81-89.
[2]  高永, 安健, 全宇翔. 网络约租车对出行方式选择及交通运行的影响[J]. 城市交通, 2016, 14(5): 1-8.
[3]  袁亮, 吴佩勋. 城市居民对网约车与出租车的选择意愿及影响因素研究——基于江苏省调查数据的Logistic分析[J]. 软科学, 2018(4): 120-123.
[4]  关宏志, 严海, 李洋. 考虑停车费用支付者的出行方式选择模型[J]. 土木工程学报, 2008, 41(4): 91-94.
[5]  王浩, 胡江涛, 晏秋. 基于Logit模型的居住区共享泊位选择行为分析[J]. 交通科技与经济, 2016, 18(6): 27-30.
[6]  李梦婷. 停车收费对居民出行方式选择的影响研究[D]: [硕士学位论文]. 北京: 北京交通大学, 2018.
[7]  严海, 冉墨文, 李孟甜, 齐岩. 基于系统均衡理论的浮动式停车计费模型研究[J]. 北京工业大学报, 2018, 44(4): 585-593.
[8]  方沁怡, 常云涛, 彭仲仁. 基于SP/RP调查的停车设施规划及收费政策研究[J]. 交通标准化, 2013(9): 27-31.
[9]  William, O. (2002) Share International Airport Parking Demand Sensitivity Analysis Forecast. 27th International Air Transport Conference, Orlando, 30 June-3 July 2002, 401-408.
https://doi.org/10.1061/40646(2003)33
[10]  Qin, H. (2017) Nested Logit Model Formation to Analyze Airport Parking Behavior Based on Stated Preference Survey Studies. Journal of Air Transport Management, 58, 164-175.
[11]  胡亚光. 机场陆侧网约车停车问题分析与管理对策研究[J]. 城市公共交通, 2017(12): 37-40.
[12]  Cherchi, E. (2002) Mixed RP/SP Models Incorporating Interaction Effects. Transportation, 29, 371-379.
[13]  郑楠, 王立晓,艾克热木?艾合买提. 城市停车选择行为研究综述[J]. 交通运输研究, 2017, 3(1): 23-30.
[14]  关宏志. 非集计模型——交通行为分析的工具[M]. 北京: 人民交通出版社, 2004.

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