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

机译:老年人的时空出行方式-基于青岛市公交车使用量的比较研究

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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:随着人口向老年人口的转移越来越多,决策者和计划者必须了解老年人的出行特征及其与年轻人之间的区别。现有研究强调老年人的出行方式,出行频率,出行距离,出行目的和影响因素,但很少有研究比较工作日和周末之间的时空特征差异。本文基于青岛市公交车的GPS数据和智能卡数据,比较了这两个队列的基本时空出行方式,包括出行距离,出行频率和工作日和周末的出行时间。此外,还建立了工作日和周末老年人旅行和年轻人旅行的定向加权网络,以分析空间特征。结果表明,尽管老年人的数量在周末有所减少,但他们的出行频率和出行距离却在周末有所增长。与年轻人相比,周末老年人出行的地理空间扩展更大。人们发现老年人更喜欢在老年人居住密度高的地区旅行。我们的研究对老年人在工作日和周末之间的时空旅行特征差异提供了更深入,更细致的理解,以支持更好的交通政策制定和促进年龄友好型公共交通服务。

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;

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  • 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:老年人;时空旅行特征;平日和周末;旅行网络;

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