基于手机信令数据的城市时间活力模式及影响因素研究&mdash;&mdash;以南京市中心城区为例

曹钟茗; 甄峰; 李智轩; 罗桑扎西

doi:10.13959/j.issn.1003-2398.2022.06.013

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人文地理 ›› 2022, Vol. 37 ›› Issue (6) : 109-117. DOI: 10.13959/j.issn.1003-2398.2022.06.013

城市

基于手机信令数据的城市时间活力模式及影响因素研究——以南京市中心城区为例

曹钟茗^1,2, 甄峰^1,2,, 李智轩^1,2, 罗桑扎西^2,3

作者信息 +

URBAN TEMPORAL VIBRANCY MODE AND ITS INFLUENCING FACTORS BASED ON MOBILE SIGNALING DATA: A CASE STUDY OF NANJING, CHINA

CAO Zhong-ming^1,2, ZHEN Feng^1,2,, LI Zhi-xuan^1,2, LOBSANG Tashi^2,3

Author information +

文章历史 +

摘要

本文基于手机信令数据从时间维度诠释城市活力的概念，并构建其评价指标体系。研究从活动强度、活动混合度、活动联系强度三个维度测度城市活力，在此基础上通过对一日 24小时的城市活力时间序列进行聚类，得出五种城市时间活力模式，并构建计量模型分析社会经济和建成环境对不同时间活力模式的影响。主要结论有：①南京市中心城区城市时间活力模式可分为高活力波动型、高活力稳定型、中活力波动型、中活力稳定型和低活力稳定型五类；②不同时间活力模式在空间上的分布具有一定规律，高活力波动型时间活力模式多位于区域就业中心与公共服务、商业服务中心附近；③影响因素方面，居住人口密度、年龄结构、经济水平、交通区位、功能性质、开发强度均对高活力波动/稳定型街区的形成有促进作用。研究从时间维度扩展了城市活力的研究视角，可为探索城市时空间规划、保障城市高质量可持续发展提供重要参考。

Abstract

This paper interpreted the concept of urban vibrancy on the temporal dimension using mobile signaling data. Researchers construct an evaluation index system that involves the activity intensity, mixing degree and contact strength. Based on this system, this paper summarized five temporal vibrancy modes by analyzing the vibrancy value's 24-hour daily time series clustering. Based on the indicators in the existing literature, 7 first-level indicators and 17 second-level indicators are selected from the two aspects of social economy and built environment, and multiple logistic regression model is used to investigate how influential the socioeconomic and built-environment factors are within different temporal vibrancy modes. Major conclusions indicate that: 1)The temporal vibrancy mode in the downtown area of Nanjing follows five scenarios: a. High vitality with fluctuation, b. High vitality with stability, c. Medium vitality with fluctuation, d. Medium vitality with stability and e. Low vitality with stability. 2) The spatial distribution of different temporal vibrancy modes follows specific patterns. 3) In terms of influential factors, variables including density, the population age structure, community socioeconomic status, transportation location reachability, regional planning functionality, and development intensity promote the generation of high-vitality fluctuating/stable block.

导出引用

曹钟茗, 甄峰, 李智轩, 罗桑扎西. 基于手机信令数据的城市时间活力模式及影响因素研究——以南京市中心城区为例[J]. 人文地理. 2022, 37(6): 109-117 https://doi.org/10.13959/j.issn.1003-2398.2022.06.013

CAO Zhong-ming, ZHEN Feng, LI Zhi-xuan, LOBSANG Tashi. URBAN TEMPORAL VIBRANCY MODE AND ITS INFLUENCING FACTORS BASED ON MOBILE SIGNALING DATA: A CASE STUDY OF NANJING, CHINA[J]. HUMAN GEOGRAPHY. 2022, 37(6): 109-117 https://doi.org/10.13959/j.issn.1003-2398.2022.06.013

中图分类号： TU984

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