Characterizing neighborhood pedestrian environments with secondary data
Characterizing neighborhood pedestrian environments with secondary data
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DOI：
10.1016/j.trd.2006.04.003
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发表时间：
2006-07-01
影响因子：
7.6
通讯作者：
Schofer, Joseph L.
中科院分区：
文献类型：
--
作者：
Parks, James R.;Schofer, Joseph L.
常用的行人环境测量方法依赖于现场数据收集和主观判断。本研究开发了行人环境的客观测量方法，使用二手数据或拟议社区的规划，并且仍然与公认的主观测量方法相关联。估计这些措施的数据，描述了网络设计、人行道可用性和建筑可达性，收集了芝加哥地区的社区样本，使用了常见的二手来源和主观的实地调查。以实验室数据为自变量，采用线性回归估计判断指标。所开发的措施可以代替主观的现场措施，以减少成本的准确性损失最小，并表征拟议的社区设计的可步行性。(c) 2006 Elsevier Ltd.版权所有。
Commonly used measures of the pedestrian environment rely on field data collection and subjective judgments. This study develops objective measures of the pedestrian environment that use secondary data or plans for proposed neighborhoods and still correlate well with accepted subjective measures. Data to estimate these measures, describing network design, sidewalk availability and building accessibility, were collected for a sample of neighborhoods in the Chicago area using both common secondary sources and subjective field surveys. Linear regression was used to estimate judgmental indices with the laboratory data as independent variables. The measures developed can be substituted for subjective field measures to reduce costs with minimal loss in accuracy and to characterize walkability of proposed neighborhood designs. (c) 2006 Elsevier Ltd. All rights reserved.