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Analysis on Time Window of Shared Parking in Hospitals Based on Parking Behaviors

机译:基于停车行为的医院共用停车时间窗口分析

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摘要

Hospitals are essential components of a city; huge traffic demand is generated and attracted, causing contradiction between parking supply and demand. By sharing parking berths, limited space can serve more demand which is beneficial to alleviating parking problems. Aimed at improving the capacity of shared parking, the paper analyzes four parking groups in typical hospitals, which aremedical staff, outpatients, emergency patients, and visiting groups.The parking demand of medical staff is rigid. For outpatients and visiting groups, longer walking distance is acceptable and more attention is paid to parking fee. By contrast, emergency patients can accept shorter walking distance and focus more on convenience due to urgency. Under this circumstance, parking behaviors selectionmodels are established bymeans ofMultinomial LogitModel.On this basis, time value is adopted to calculate the tolerance of alterative parking time. Moreover, this paper explores the variation of time window, under different parking impedance. A case study is conducted and suggests that start and end point of a certain time window can be influenced by external factors.
机译:医院是城市的基本组成部分;产生巨大的交通需求和吸引,引起停车供需之间的矛盾。通过共享停车泊位,有限的空间可以获得更多的需求,这有利于缓解停车问题。该论文旨在提高共用停车的能力,分析了典型医院的四个停车组,典型的工作人员,门诊病人,应急患者和访问群体。医务人员的停车需求是僵硬的。对于门诊和访问组,步行距离更长,并且需要更多关注停车费。相比之下,急诊患者可以接受较短的步行距离,并在便利率引起更紧迫。在这种情况下,停放行为选择墨典的副教室的副映射,采用了时间价值来计算改变停车时间的公差。此外,本文探讨了不同停车阻抗下的时间窗口的变化。进行案例研究并表明某个时间窗口的开始和终点可能受到外部因素的影响。

著录项

  • 来源
  • 作者

    Qin Chen; Peng He; Jun Chen;

  • 作者单位

    Jiangsu Key Laboratory of Urban ITS School of Transportation Southeast University Nanjing China;

    Nanjing Institute of City &

    Transport Planning Co. Ltd Nanjing China;

    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Southeast University Nanjing China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 数学模拟、近似计算;
  • 关键词

    Analysis; Window; Shared;

    机译:分析;窗口;共享;
  • 入库时间 2022-08-20 08:35:44

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