节点文献
基于大数据的城市区域步行可达性研究
Urban Area Pedestrian Accessibility Study Based on Big Data
【摘要】 步行交通量化评估是优化日常生活设施布局、提高居民步行便利性、缓解交通拥堵和污染问题、改善城市生活环境的重要途径。为此,在大数据条件下,通过使用城市交通网络可以在距离雁塔地区的每个建筑物一定距离内访问的不同权重兴趣点的数量来构建重力模型,计算相应的可访问性评估指标并用于评估步行交通。结果表明:雁塔区在可接受的出行范围内,步行重力指数在42. 1以上的区域占比73. 2%,表明雁塔区整体步行可达性较高,但是东西分布有差异;公交站点重力指数在24. 4以上的区域占比88. 6%且分布均匀。
【Abstract】 Quantitative evaluation of urban Walking Traffic is an important way to optimize the layout of daily life facilities,improve the convenience of residents’ walking,ease congestion and pollution problems,and improve urban living environment. By constructing the gravity model by using the number of different weight POIs( Building points that attract people to travel) that the urban transportation network can access within a certain distance from each building in the Yanta area,the corresponding accessibility evaluation index can be calculated and used to evaluate Walking Traffic.The results show that within the acceptable range of travel,the area in Yanta where the walking gravity index is above 42. 1 accounted for 73. 2%. It shows that the overall walking accessibility of Yanta District is higher,but there is a difference in the distribution of east and west; the area in Yanta where the walking gravity index is above 24. 4 accounted for 88. 6% and the distribution is even.
【Key words】 walking traffic; gravity model; accessibility theory; geographic system;
- 【文献出处】 重庆理工大学学报(自然科学) ,Journal of Chongqing University of Technology(Natural Science) , 编辑部邮箱 ,2019年08期
- 【分类号】U491
- 【被引频次】12
- 【下载频次】788