A Data-Driven Framework for Walkability Measurement with Open Data: A Case Study of Triple Cities, New York
A Data-Driven Framework for Walkability Measurement with Open Data: A Case Study of Triple Cities, New York
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使用开放数据进行步行适宜性测量的数据驱动框架：纽约三座城市的案例研究
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Louisa M. Holmes
中科院分区：
文献类型：
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作者：
C. Deng;Xiaoyu Dong;Huihai Wang;Weiying Lin;Hao Wen;J. Frazier;H. Ho;Louisa M. Holmes
步行是最常见、最环保、最便宜的体力活动。要进行深入的步行性分析，一种选择是客观地评估与步行性相关的建筑环境的不同方面。在这项研究中，我们提出了一个计算框架，步行测量使用开放数据。该框架的三个主要步骤包括对公开的在线数据进行网络报废，确定变量的不同权重，以及生成合成步行指数。结果提出了三个主要结论。首先，建议的框架提供了一个明确的机制，步行测量。其次，该框架中的合成步行指数与步行评分相当，并且其敏感性往往略高，特别是在城市核心的高度步行区域。第三，这一框架被有效地应用于一个大都市区，其中包含三个小城市，共同代表一个小的，旧的收缩区域，扩展了文献中的主题区域。该框架有可能量化任何城市的步行能力，特别是那些很少研究步行能力的人口较少的城市，或者那些没有量化指标的城市。对于这些地区，研究人员可以基于该框架计算综合步行指数，以帮助城市规划者，社区领导人，卫生官员和政策制定者改善其社区的步行环境。
Walking is the most common, environment-friendly, and inexpensive type of physical activity. To perform in-depth walkability analysis, one option is to objectively evaluate different aspects of built environment related to walkability. In this study, we proposed a computational framework for walkability measurement using open data. Three major steps of this framework include the web scrapping of publicly available online data, determining varying weights of variables, and generating a synthetic walkability index. The results suggest three major conclusions. First, the proposed framework provides an explicit mechanism for walkability measurement. Second, the synthetic walkability index from this framework is comparable to Walk Score, and it tends to have a slightly higher sensitivity, especially in highly walkable areas in urban core. Third, this framework was effectively applied in a metropolitan area that contains three small cities that together represent a small, old shrinking region, which extends the topical area in the literature. This framework has the potential to quantify walkability in any city, especially cities with a small population where walkability has rarely been studied, or those having no quantification indicator. For such areas, researchers can calculate the synthetic walkability index based on this framework, to assist urban planners, community leaders, health officials, and policymakers in their practices to improve the walking environment of their communities.
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影响因子：
5.4
作者：
Cain, Kelli L.;Millstein, Rachel A.;Sallis, James F.;Conway, Terry L.;Gavand, Kavita A.;Frank, Lawrence D.;Saelens, Brian E.;Geremia, Carrie M.;Chapman, James;Adams, Marc A.;Glanz, Karen;King, Abby C.
通讯作者：
King, Abby C.
影响因子：
2.1
作者：
Duncan DT;Aldstadt J;Whalen J;White K;Castro MC;Williams DR
通讯作者：
Williams DR
影响因子：
4.8
作者：
Wolch J;Jerrett M;Reynolds K;McConnell R;Chang R;Dahmann N;Brady K;Gilliland F;Su JG;Berhane K
通讯作者：
Berhane K
影响因子：
5.4
作者：
Hoehner, Christine M.;Handy, Susan L.;Yan, Yan;Blair, Steven N.;Berrigan, David
通讯作者：
Berrigan, David