Combining Space Syntax With GIS-based Built Environment Measures in Pedestrian Walking Activity
Combining Space Syntax With GIS-based Built Environment Measures in Pedestrian Walking Activity
复制标题
将空间句法与基于 GIS 的建筑环境措施相结合在行人步行活动中
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
K. Seo
中科院分区：
文献类型：
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作者：
Sugie Lee;K. Seo
本研究结合空间句法措施和基于GIS的建成环境变量的步行量分析使用步行调查数据的10,000个地点在整个首尔。结果表明，两个句法变量的整体整合和控制显示统计上显着的协会与平均步行量在首尔工作日。整体整合度在居住区有显著的统计学意义，但在商业区与步行量没有显著的相关性。另一方面，控制值在商业区显示出统计学意义，但它没有显示出任何关联，在居住区的步行量。在建成环境变量中，统计上显著的变量是净就业密度和净商业用地密度变量。公共交通和城市设计特征的可达性指标与行人步行量有显著的统计学关联。本研究的结论是，结合空间句法与GIS为基础的建成环境的措施有很大的潜力，分析行人步行活动。
This study combines space syntax measures and GIS-based built environment variables for an analysis of pedestrian walking volume using the walking survey data for 10,000 locations across the city of Seoul. The results indicate that two syntactic variables of global integration and control show statistically significant associations with the average walking volume for weekdays in Seoul. Global integration measure shows a statistical significance in residential zone, but it did not show any association with walking volume in commercial zone. On the other hand, control value shows a statistical significance in commercial zone, but it did not show any association with walking volume in residential zone. Of built environment variables, statistically significant variables are net employment density and net commercial land use density variables. Accessibility measures to public transportation and urban design characteristics show statistically significant association with pedestrian walking volume. This study concludes that combining space syntax with GIS-based built environment measures has a great potential for analyzing pedestrian walking activities.