[1]李 斌,田竣宇,潘 捷,等.山地城市活力空间特征及其影响因素——以重庆主城都市区为例[J].山地学报,2026,(1):134-145.[doi:10.16089/j.cnki.1008-2786.000952]
　LI Bin,TIAN Junyu,PAN Jie,et al.Spatial Characteristics of Urban Vitality and Its Influencing Factors in Mountainous Cities: A Case Study of the Chongqing Metropolitan Area, China[J].Mountain Research,2026,(1):134-145.[doi:10.16089/j.cnki.1008-2786.000952]
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山地城市活力空间特征及其影响因素——以重庆主城都市区为例()

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2026年第1期
页码:
134-145
栏目:
山区发展
出版日期:
2026-02-20

文章信息/Info

Title:
Spatial Characteristics of Urban Vitality and Its Influencing Factors in Mountainous Cities: A Case Study of the Chongqing Metropolitan Area, China
文章编号:
1008-2786-(2026)1-134-12
作者:
李 斌1; 2; 田竣宇1; 潘 捷1; 钱焱杰1
(1.重庆工商大学 公共管理学院,重庆 400067; 2. 自然资源部国土空间规划监测评估预警重点实验室,重庆 400067)
Author(s):
LI Bin1; 2;  TIAN Junyu1;  PAN Jie1;  QIAN Yanjie1
(1.School of Public Administration, Chongqing Technology and Business University, Chongqing 400067, China; 2. Key Laboratory of Monitoring, Evaluation and Early Warning of Territorial Spatial Planning Implementation, Ministry of Natural Resources, Chongqing 400067, China)
关键词:
山地城市活力;  空间计量模型;  地形约束;  重庆主城都市区
Keywords:
mountainous city vitality;  spatial econometric model;  topographic constraints;  Chongqing Metropolitan Area
分类号:
TU984
DOI:
10.16089/j.cnki.1008-2786.000952
文献标志码:
A
摘要:
城市活力空间特征及其影响因素是城市地理学研究领域的重要命题。针对平原城市的活力测度方法与理论框架已相对成熟,而受地形复杂、交通可达性差、空间异质性强等因素影响,山地城市活力研究则面临传统调查数据获取难度大、成本高,常规模型难以有效刻画山脉阻隔下的空间依赖与溢出效应等挑战,导致对复杂地形约束下活力空间分异的形成机理解析尚不充分,相关研究仍较薄弱。本文以重庆主城都市区为例,结合微博LBS签到、POI、百度人口热力等多源地理大数据,构建包含社会活力、文化活力与功能活力的三维城市活力评价模型,并结合统计年鉴经济数据与空间计量模型(空间杜宾模型),全面解析山地城市活力空间分异特征及其驱动因素。研究发现,(1)渝中、江北、南岸等沿江核心区形成活力峰值(活力指数268.33),次级组团(如大渡口、沙坪坝)呈局部高值点(38.82～39.55),而山脉阻隔区(如南川、垫江)活力普遍低下(活力指数≤1.53),活力空间呈现显著“核心-边缘”异质性格局。(2)地形约束主导活力空间分布:“两江四岸”河谷地带构成活力主轴,活力强度沿江梯度衰减; 中梁山、铜锣山等山脉形成自然屏障导致活力下降超过30%(统计显著性<0.01); 垂直高差每增加 100 m 活力衰减约18%(R2=0.76)。(3)空间杜宾模型结果显示,交通基础设施(总效应0.363)、第三产业占比(总效应0.597)与教育投入(总效应0.498)是核心驱动因子,其效应呈现空间分异(如教育溢出效应对外围区补偿显著,间接效应0.192),而山脉阻隔显著削弱了核心区对外围的空间溢出(空间自回归系数ρ=0.417)。研究表明,山地城市活力空间格局是自然地形与经济社会要素协同作用的结果,优化山地城市空间资源配置需系统考虑地形约束与驱动因子的空间异质性效应。本研究可为山地城市国土空间规划、公共服务设施布局与区域协同发展提供理论依据与决策参考。
Abstract:
The spatial pattern and influencing factors of urban vitality constitute a critical research topic in urban geography. While measurement methods and theoretical frameworks for urban vitality in plain cities have become relatively mature, research on mountainous cities faces substantial challenges due to complex terrain, poor transportation accessibility, and pronounced spatial heterogeneity. These challenges include difficulties in acquiring traditional survey data, high costs, and the ineffectiveness of conventional models in capturing spatial dependencies and spillover effects under mountain barriers, resulting in insufficient understanding of the formation mechanisms of vitality spatial differentiation under complex terrain constraints.
This study took the Chongqing Metropolitan Area as a case study. It integrated multi-source geographic big data such as Weibo LBS check-ins, POIs, and Baidu population heatmaps to construct a three-dimensional urban vitality evaluation model encompassing social, cultural, and functional vitality. By combining statistical yearbook economic data with spatial econometric models(Spatial Durbin model), it comprehensively analyzed the spatial differentiation and driving factors of vitality in mountainous cities.
(1)The findings revealed that core riverfront districts such as Yuzhong, Jiangbei, and Nan'an exhibited peak vitality(vitality index: 268.33), with secondary clusters(e.g., Dadukou, Shapingba)showing localized high values(38.82-39.55), while mountain-blocked regions(e.g., Nanchuan, Dianjiang)demonstrated low vitality(vitality index ≤1.53), forming a distinct “core-periphery” heterogeneous pattern.
(2)Topographic constraints dominated vitality spatial distribution: the “Two Rivers and Four Banks” valley served as the vitality axis, with intensity decaying along the river gradient; natural barriers formed by mountains such as the Zhongliangshan Mountain and the Tongluoshan Mountain reduced vitality by over 30%(statistical significance < 0.01), with a vertical elevation increase of 100 m leading to an approximately 18% decline in vitality(R2=0.76).
(3)By the spatial Durbin model, it indicated that transportation infrastructure(total effect: 0.363), tertiary industry proportion(total effect: 0.597), and educational investment(total effect: 0.498)were core driving factors, with spatially differentiated effects(e.g., significant compensatory spillover effects of education in peripheral areas, indirect effect: 0.192), while mountain barriers significantly weakened spatial spillover from core to peripheral regions(spatial autoregressive coefficient ρ=0.417).
The study concludes that the vitality spatial pattern in mountainous cities results from the synergy between natural topography and socio-economic factors. Optimizing spatial resource allocation in mountainous cities requires systematic consideration of topographic constraints and the spatial heterogeneity of driving factors.
This research provides theoretical foundations and decision-making references for territorial spatial planning, public service facility layout, and regional coordinated development in mountainous cities.

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备注/Memo

备注/Memo:
收稿日期(Received date): 2025- 06- 05; 改回日期(Accepted data):2026- 02- 06
基金项目(Foundation item): 国家社会科学基金(20BMZ148); 自然资源部国土空间规划监测评估预警重点实验室开放基金(LMEE-KF2024010); 重庆市北碚区第五次全国经济普查课题。[National Social Science Foundation of China(20BMZ148); Key Laboratory of Monitoring, Evaluation and Early Warning of Territorial Spatial Planning Implementation, Ministry of Natural Resources(LMEE-KF2024010); Research Project of the Fifth National Economic Census in Beibei District, Chongqing]
作者简介(Biography): 李斌(1976-),男,山西运城人,硕士,教授,主要研究方向:国土空间规划与山地城市土地利用等。[LI Bin(1976-), male, born in Yuncheng, Shanxi Province, M.Sc., professor, research on territorial spatial planning and mountainous urban land use] E-mail: 2004106@ctbu.edu.cn
更新日期/Last Update: 2026-01-30