地理科学进展 ›› 2023, Vol. 42 ›› Issue (1): 66-78.doi: 10.18306/dlkxjz.2023.01.006

• 研究论文 • 上一篇    下一篇

生命周期视角下建成环境对居民迁居强度的影响——基于武汉市多源数据分析

刘华1,2(), 周田原1, 张贵科3, 刘学军1,2,*(), 邓韶辉3   

  1. 1.武汉大学城市设计学院,武汉 430072
    2.武汉大学数字城市研究中心,武汉 430072
    3.雅砻江流域水电开发有限公司,成都 610051
  • 收稿日期:2022-07-01 修回日期:2022-09-26 出版日期:2023-01-28 发布日期:2023-03-28
  • 通讯作者: *刘学军(1974— ),男,湖北孝感人,副教授,硕士生导师,研究方向为城市大数据、城市交通规划。E-mail: xjliu@whu.edu.cn
  • 作者简介:刘华(1976— ),男,湖北武汉人,副教授,硕士生导师,研究方向为空间数据模型、城市仿真、城市时空数据分析。E-mail: liu.hua@whu.edu.cn
  • 基金资助:
    国家重点研发计划项目(2019YFB2101803);国家自然科学基金项目(41871314)

Influence of the built environment on residents’ migration intensity from the life cycle perspective:Based on multi-source data of Wuhan City

LIU Hua1,2(), ZHOU Tianyuan1, ZHANG Guike3, LIU Xuejun1,2,*(), DENG Shaohui3   

  1. 1. School of Urban Design, Wuhan University, Wuhan 430072, China
    2. Research Centre for Digital City, Wuhan University, Wuhan 430072, China
    3. Yalong River Hydropower Development Co., LTD, Chengdu 610051, China
  • Received:2022-07-01 Revised:2022-09-26 Online:2023-01-28 Published:2023-03-28
  • Supported by:
    National Key Research and Development Program of China(2019YFB2101803);National Natural Science Foundation of China(41871314)

摘要:

随着中国城镇住房制度改革的推行,城市内迁居行为日趋频繁。洞悉不同年龄段居民迁居内在驱动力,能为城市居住环境规划与建设改善提供依据。论文利用2019年与2021年武汉市手机信令等多源数据,以生命周期理论为研究视角,识别武汉市四环内不同年龄段居民交通小区迁居强度,并提出建成环境因子特性与迁居强度关系模型,探讨居民生活圈内各建成环境因子对多年龄段居民迁居影响的特性差异。研究发现:① 不同年龄居民的迁入与迁出强度在不同城市区位上存在分异,19~39岁居民相较于40岁以上居民迁居更频繁;总体呈现内环线的交通小区迁入与迁出强度表征偏高,且均大于外环线的交通小区。② 公共服务设施、交通便利度和居住环境维度内相关指标是影响居民迁居决策的重要因素,由于不同年龄段居民居住需求不同,部分变量因子在不同年龄段下特性分异明显。考虑到各年龄段居民迁居强度及因子特性不一,相关规划决策需采取差异化的建成环境改善措施,科学引导不同年龄居民迁居,优化城市人口分布。

关键词: 居民迁居强度, 生命周期, 建成环境, 因子特性, 武汉市

Abstract:

With the reform of China's urban housing system, relocation in cities is becoming increasingly more frequent. Analyzing the internal driving forces of residents of different age groups to move provides a basis for the improvement of urban living environment planning and construction. This study used multi-source data such as mobile phone signaling data in Wuhan City in 2019 and 2021 and took the life cycle perspective to identify the relocation frequency of residents of different age groups within the Fourth Ring Road of Wuhan City. This study proposed a model of relationship between the characteristics of built environment factors and the frequency of relocation, and explored the impact of various built environment factors in the residents' living circles on the relocation of residents of multiple ages. The study found that: 1) The moving in and out intensities of residents of different ages varied in different urban locations. Residents aged 19-39 moved more frequently than residents aged over 40. In general, the moving in and out intensity of the traffic areas within the inner ring road is high, and both are larger than those between the outer ring roads. 2) Relevant indicators in the dimensions of public service facilities, transportation convenience, and the living environment are important factors that caused residents' decision to move. Considering the differences in the relocation intensity of residents of different age groups and the characteristics of influencing factors, relevant planning decisions need to incorporate differentiated measures to improve the built environment, scientifically guide residents of different ages to relocate, and optimize urban population distribution.

Key words: residents' relocation intensity, life cycle, built environment, factor characteristics, Wuhan City