摘要
伴随大数据的发展及应用,用户的数字足迹为有效展现城市人口流动的轨迹和时空聚集状态提供了便利,弥补了传统城市调研和空间规划的缺陷。本文借助百度地图热力图人群分布数据,通过大数据方法并结合传统收集数据方法、实地调研、问卷调查,从安全性、高效性、舒适性和便捷性四个方面探讨轨道交通站内公共设施与人群分布的关系。研究结果表明:武汉轨道交通2号线站内公共设施高效性较好,但人性化不足;安全性与舒适性符合人群分布特征,但整体水平较低;便捷性有待提高,未来在提升站内设施便捷性时,应与站点周边环境相结合。
With the development and application of big data, the user’s digital footprint provides a convenient way to effectively show the trajectory of urban population movement and the accumulation of time and space, making up for the deficiencies of traditional urban research and spatial planning. Based on the data of Baidu heat map population distribution, this paper will discuss the relationship between distribution of public facilities and people in rail transit stations from four aspects: safety, efficiency, comfort and convenience through big data method combined with traditional method data, field investigation and questionnaire survey. The results of this research show that the public service facilities in Wuhan Railway Line 2 station is efficient, yet lack of humanization;safety and comfort are fitted with the characteristics of population distribution, but the overall level is relatively low;convenience needs to be improved. In the future, when improving the convenience of the facilities in station, it should be combined with the surrounding environment of the station.
作者
王笑予
汤寿旎
Wang Xiaoyu;Tang Shouni(School of Civil Engineering and Architecture,Wuhan University of Technology,Wuhan Hubei 430070,China)
出处
《城市建筑》
2019年第13期122-127,共6页
Urbanism and Architecture
基金
国家自然科学基金（51808418及41601163）
湖北省青年科技晨光计划
武汉理工大学自主创新基金自由探索研究项目
关键词
城市轨道交通
大数据
热力值
公共设施评价
urban rail traffic
big data
heat value
evaluation of public facilities
