Influence of environmental street characteristics on walking route choice of elderly people
Influence of environmental street characteristics on walking route choice of elderly people
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DOI：
10.1016/j.jenvp.2009.08.002
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发表时间：
2009-12-01
影响因子：
6.9
通讯作者：
Miedema, Henk M. E.
中科院分区：
文献类型：
--
作者：
Borst, Hieronymus C.;de Vries, Sanne I.;Miedema, Henk M. E.
步行是老年人户外体育活动的重要来源。为了制定旨在鼓励老年人步行的措施，重要的是要了解当地环境如何影响老年人的步行行为。在这里，一个模型描述的环境街道特性对老年人的步行路径选择的影响。该模型采用了交通研究领域的技术。数据收集有关的步行路线选择的364个独立生活的老年居民（55-80岁）从荷兰三个城市地区的具体目的地报告。路线选择是在“地理信息系统”（GIS）数据库中建模的，通过使用“阻力因素”来描述街道网络中街道路段（即链接）的步行阻力。这些因素通过最小化估计的和报告的沿着每个链路的旅行次数之间的差异来优化。据作者所知，这是第一次在这种情况下应用这种技术。采用多元线性回归分析了链路特性对链路电阻的影响。的路线选择模型和街道特性对路线选择的影响的第一个结果的报告和讨论。(C)2009爱思唯尔有限公司版权所有。
Walking is an important source of outdoor physical activity among elderly people. In order to devise measures aimed at encouraging walking among the elderly it is important to understand how the local environment influences the walking behaviour of elderly people. Here, a model describing the influence of environmental street characteristics on the walking route choice of elderly people is presented. Techniques adapted from the field of transportation research were employed within the model. Data concerning the walking route choice to specific destinations reported by 364 independently living elderly residents (55-80 years) from three Dutch urban districts were collected. Route choice was modelled within a 'Geographic Information System' (GIS) database by using 'resistance factors' to describe the resistance to walking of street sections (i.e. links) within the street network. These factors were optimized by minimizing the difference between the estimated and the reported number of trips along each link. This is, to the authors' knowledge the first time that this technique has been applied within this context. The influence of link characteristics on link resistance was investigated by multivariate linear regression. The first results of the route choice model and the influence of street characteristics on route choice are reported and discussed. (C) 2009 Elsevier Ltd. All rights reserved.