| 摘要: |
| 伴随着LAD和LBS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
度热力图，并结合ArcGIS，分析了武汉主城
区人口在典型日期（工作日和休息日）流动的
时空特征。结果表明：人口集聚表现出明显
的波动性变化，工作日的波动性强于休息日；
出行时间存在着相位差，休息日的滞后性和
后延性更强。人群活动的时间节律主要受规
则性和自由性活动的控制。在空间上，工作日
与休息日高集聚的场所有一定差异，工作日以
商业中心、交通枢纽和就业中心为主，表现出
非常明显的工作指向性；休息日则指向传统
的购物中心、大型交通枢纽和新兴城市综合
体。因此，需要对武汉市城市总体规划中的部
分“中心”进行优化。 |
| 关键词: 百度热力图 城市人群 时空特征 武汉市主城区 |
| DOI：10.13791/j.cnki.hsfwest.20180209 |
| 分类号: |
| 基金项目: |
|
| Spatial-temporal Characteristics of Urban Population Aggregation Based on Baidu Heat Map inCentral Areas of Wuhan City |
|
WANG Lucang
|
| Abstract: |
| With the development and application of LAD and LBS, the digital footprint of the
user has provided convenience for effectively displaying the trajectory of urban population flow
and the spatio-temporal aggregation, which makes up for the shortcomings of traditional urban
research and spatial planning. With the help of Baidu heat map and ArcGIS, this paper analyzes
the temporal-spatial footprint of population flow of the central city of Wuhan City. The results
showed that: the population agglomeration showed obvious fluctuation, but the fluctuation of
working days was stronger than that of the rest days, and the activity track was highly consistent
with the commuting rhythm, while the rest day was more stable. There is a phase difference
between working days and rest days; the time of population flow and accumulation is earlier
than the rest; the afternoon, the day of rest, the time of population flow and focus lag behind
the working days. Whether on weekdays or on the day off, the concentration of the morning is
low, and the concentration of people in the afternoon and evening is higher, and is much higher
than that in the morning. In the spatial footprint, the working day and the rest day are gathering
together the spatial position approximately same, the working day mainly is the commercial
center, the transportation hub and the employment center, displays the very obvious work
direction. Days off point to traditional shopping centre, large transportation hubs and emerging
urban complexes. |
| Key words: Baidu Heat Map Temporal-spatial Footprint of Population Flow the centralareas of Wuhan City |
