地理科学进展 ›› 2023, Vol. 42 ›› Issue (1): 66-78.doi: 10.18306/dlkxjz.2023.01.006
刘华1,2(), 周田原1, 张贵科3, 刘学军1,2,*(
), 邓韶辉3
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:
LIU Hua1,2(), ZHOU Tianyuan1, ZHANG Guike3, LIU Xuejun1,2,*(
), DENG Shaohui3
Received:
2022-07-01
Revised:
2022-09-26
Online:
2023-01-28
Published:
2023-03-28
Supported by:
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。
刘华, 周田原, 张贵科, 刘学军, 邓韶辉. 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[J]. 地理科学进展, 2023, 42(1): 66-78.
LIU Hua, ZHOU Tianyuan, ZHANG Guike, LIU Xuejun, DENG Shaohui. Influence of the built environment on residents’ migration intensity from the life cycle perspective:Based on multi-source data of Wuhan City[J]. PROGRESS IN GEOGRAPHY, 2023, 42(1): 66-78.
表1
建成环境指标体系
维度 | 具体指标 | 计算方式 | 数据来源 | 平均值 | 标准差 |
---|---|---|---|---|---|
公共服务设施 | 居家设施 | 生活圈内各类设施数量/生活圈面积(个/km2) | 高德POI | ||
生活服务设施 | 95.81 | 103.34 | |||
休闲设施 | |||||
公园 | 0.38 | 0.62 | |||
运动场馆 | 2.15 | 2.61 | |||
教育设施 | |||||
中学 | 0.52 | 0.86 | |||
小学 | 0.71 | 1.04 | |||
交通设施 | |||||
公交站 | 4.23 | 2.52 | |||
地铁站 | 0.43 | 0.45 | |||
医疗设施 | |||||
三甲医院 | 0.82 | 3.38 | |||
交通便利度 | 平均职住距离 | 研究单元内用户职住距离平均值(km) | 联通手机信令 | 8.60 | 1.39 |
路网密度 | 生活圈内路网总长度/生活圈面积(km/km2) | OSM道路网 | 11.59 | 5.12 | |
居住环境 | 建筑密度 | 居住地建筑占地面积/居住地面积 | 高德建筑轮廓 高德建筑轮廓 | 0.14 | 0.11 |
容积率 | 居住地建筑总面积/居住地面积 | 高德建筑轮廓 | 0.76 | 0.66 | |
平均NDVI | 生活圈内NDVI平均值 | 欧航局遥感影像 | 0.25 | 0.08 |
表2
多元线性回归分析结果
变量 | 19~24岁 | 25~29岁 | 30~39岁 | 40~49岁 | 50~59岁 | 60岁及以上 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
迁入 | 迁出 | 迁入 | 迁出 | 迁入 | 迁出 | 迁入 | 迁出 | 迁入 | 迁出 | 迁入 | 迁出 | ||||||
常数 | 35.074** | 12.614 | 9.926 | 7.921 | 3.017 | 6.710 | 0.187 | -1.248 | 0.607 | 1.527 | 1.967 | 0.03 | |||||
生活服务 | 0.204*** | 0.124*** | 0.093*** | 0.080*** | 0.027 | 0.035* | 0.039*** | 0.018 | 0.017** | 0.010 | 0.012*** | 0.009** | |||||
公园 | -8.171*** | -5.739* | -5.120*** | -4.305** | -1.710 | -3.676*** | -0.287 | 0.920 | 0.041 | 0.268 | -0.147 | -0.302 | |||||
运动场馆 | 3.779*** | 2.793*** | 2.673*** | 3.026*** | 2.142*** | 2.104*** | 0.933*** | 0.530* | 0.653*** | 0.322 | 0.302*** | 0.070 | |||||
中学 | -8.872*** | -6.899*** | -5.039*** | -1.574* | -0.801 | 0.341 | 2.552*** | 2.766*** | -0.463 | 0.653 | 0.356 | 0.659** | |||||
小学 | -7.062*** | -7.169*** | -3.780*** | -2.784* | -0.437 | -0.889 | -1.618** | -0.215 | 0.107 | 0.697 | 0.170 | 0.547* | |||||
公交站 | 1.213 | -0.873 | 2.591*** | 1.169* | 2.466*** | 1.952*** | 0.792*** | 0.918*** | 0.880*** | 0.860*** | 0.370*** | 0.672*** | |||||
地铁站 | -9.883** | -12.597** | -5.473** | -7.107** | -3.532 | -5.155** | -1.872 | -3.385** | -1.878** | -2.164** | -0.806 | -1.967*** | |||||
三甲医院 | -22.331 | -25.347 | -14.935 | -27.285* | -32.576*** | -33.661*** | -13.218* | -14.074* | -1.592 | -7.513 | 0.685 | -6.883** | |||||
平均职住距离 | -5.189*** | -3.931*** | -0.614 | -1.726* | 0.451 | -0.179 | 0.270 | 0.226 | 0.407* | 0.183 | 0.023 | 0.028 | |||||
路网密度 | 0.652 | 1.793*** | -0.085 | 0.702** | -0.073 | 0.244 | 0.142 | 0.301** | -0.104 | -0.018 | -0.055 | -0.063 | |||||
建筑密度 | -79.959** | -75.230* | -28.609 | -59.206** | -21.060 | -29.710 | -4.860 | -20.415 | 8.353 | 0.087 | -3.556 | -2.477 | |||||
容积率 | 34.706*** | 38.806*** | 20.262*** | 37.023*** | 22.071*** | 28.934*** | 12.024*** | 20.046*** | 6.210*** | 11.629*** | 4.604*** | 6.724*** | |||||
平均NDVI | 81.750*** | 116.618*** | 20.354 | 29.289** | -9.116 | -15.741 | -2.159 | -7.753 | -8.065** | -13.252*** | -6.149** | -4.618* | |||||
R2 | 0.455 | 0.325 | 0.449 | 0.538 | 0.502 | 0.564 | 0.561 | 0.574 | 0.524 | 0.552 | 0.508 | 0.556 | |||||
调整R2 | 0.446 | 0.313 | 0.439 | 0.53 | 0.493 | 0.556 | 0.554 | 0.567 | 0.515 | 0.544 | 0.500 | 0.548 |
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