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Spatio-temporal travel patterns of elderly people - A comparative study based on buses usage in Qingdao, China

机译:老年人的时空旅行模式 - 基于公共汽车使用的比较研究,中国青岛

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摘要

With the increasing demographic shift towards a larger population of elderly, it is essential for policy makers and planners to have an understanding of travel characteristics of elderly and their difference with younger counterparts. Existing studies emphasize elderly's travel mode, travel frequency, travel distance, travel purpose and affecting factors, however, very few aim at comparing the spatio-temporal characteristics difference between weekday and weekend. In this paper, based on GPS data and Smart Card data of buses in Qingdao, the two cohorts' basic spatio-temporal travel patterns in aspects of travel distance, travel frequency and travel start time in weekday and weekend are compared. In addition, directed weighted networks of elderly's trips and younger people's trips in weekday and weekend are constructed for analyzing spatial characteristics. Results show that although the number of elderly experiences a reduction on weekend their travel frequency and travel distance show growth on weekend. In contrast with younger people, larger geospatial expansion of elderly's travel on weekend is observed. Elderly are found to prefer traveling in areas with high elderly people's residential density. Our study provides a deeper and nuanced understanding of elderly's spatio-temporal travel characteristics difference between weekday and weekend, so as to support better traffic policy making and the promotion on age-friendly public transport service.
机译:随着人口较大的老年人人口越来越大,政策制定者和规划者必须了解老年人的旅行特征及其与年轻同行的差异。现有研究强调老年旅行模式,旅行频率,旅行距离,旅行宗旨和影响因素,但旨在比较平日和周末之间的时空特征差异。本文基于青岛公共汽车的GPS数据和智能卡数据,比较了两种队列的行程距离,旅行频率和旅行开始时间的基本时空行程模式。此外,在平日和周末和周末的指导加权网络和年轻人的旅行是为了分析空间特征。结果表明,虽然老年人经历了周末的减少,但周末的旅行频率和旅行距离显示出现增长。与年轻人相比,观察了老年人周末旅行的更大地理空间扩张。老人被发现更喜欢在高级人民住宅密度的地区旅行。我们的研究为老年人的时空旅行特征提供了更深层次和谨慎的了解,平静周天和周末之间的差异,以支持更好的交通政策制定和对年龄友好的公共交通服务的促进。

著录项

  • 来源
    《Journal of Transport Geography》 |2019年第4期|178-190|共13页
  • 作者单位

    Qingdao Univ Coll Comp Sci & Technol Ningxia Rd 308 Qingdao 266071 Shandong Peoples R China|Inst Smart City & Big Data Technol Ningxia Rd 308 Qingdao 266071 Shandong Peoples R China;

    Qingdao Univ Coll Comp Sci & Technol Ningxia Rd 308 Qingdao 266071 Shandong Peoples R China|Inst Smart City & Big Data Technol Ningxia Rd 308 Qingdao 266071 Shandong Peoples R China;

    Qingdao Univ Coll Comp Sci & Technol Ningxia Rd 308 Qingdao 266071 Shandong Peoples R China;

    Qingdao Univ Coll Comp Sci & Technol Ningxia Rd 308 Qingdao 266071 Shandong Peoples R China|Inst Smart City & Big Data Technol Ningxia Rd 308 Qingdao 266071 Shandong Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Elderly; Spatio-temporal travel characteristics; Weekday and weekend; Trip network;

    机译:老人;时空旅行特征;平日和周末;旅行网络;

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