[1] 童玉芬, 杨艳飞, 韩佳宾.人口空间集聚对中国城市群经济增长的影响: 基于19个城市群的理论与实证分析[J].人口研究, 2023, 47(3):121-132. [2] 魏石梅, 潘竟虎.中国地级及以上城市网络结构韧性测度[J].地理学报, 2021, 76(6):1394-1407. [3] 陈永良, 陈梅花.近20年喀麦隆的城市扩张特征及其驱动因素[J].浙江师范大学学报(自然科学版), 2023, 46(2):210-218. [4] Zheng Zhong, Zhou Suhong, Deng Xingdong.Exploring both home-based and work-based jobs-housing balance by distance decay effect[J].Journal of Transport Geography, 2021, 93:103043. [5] Liu Hao, Kwan M P, Hu Mingxing, et al.Application of the local colocation quotient method in jobs-housing balance measurement based on mobile phone data:a case study of Nanjing City[J].Computers, Environment and Urban Systems, 2024, 109:102079. [6] Wang Jing, Zhou Chenjing, Rong Jian, et al.Community-detection-based spatial range identification for assessing bilateral jobs-housing balance:the case of Beijing[J].Sustainable Cities and Society, 2022, 87:104179. [7] 王蓓, 王良, 刘艳华, 等.基于手机信令数据的北京市职住空间分布格局及匹配特征[J].地理科学进展, 2020, 39(12):2028-2042. [8] 毕硕本, 王璐烨, 刘少丽, 等.成都市职住空间分布特征及影响因素研究[J].地理与地理信息科学, 2024, 40(1):81-88. [9] Chen Tingting, Hui E C M, Wu Jiemin, et al.Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data[J].Habitat International, 2019, 89:102005. [10] 钟炜菁, 王德.基于居民行为周期特征的城市空间研究[J].地理科学进展, 2018, 37(8):1106-1118. [11] 邹思聪, 张姗琪, 甄峰.基于居民时空行为的社区日常活动空间测度及活力影响因素研究:以南京市沙洲、南苑街道为例[J].地理科学进展, 2021, 40(4):580-596. [12] 申悦, 柴彦威.基于GPS数据的北京市郊区巨型社区居民日常活动空间[J].地理学报, 2013, 68(4):506-516. [13] 闫晴, 李诚固, 陈才, 等.基于手机信令数据的长春市活动空间特征与社区分异研究[J].人文地理, 2018, 33(6):35-43. [14] Jiang Shan, Yang Yingxiang, Gupta S, et al.The TimeGeo modeling framework for urban mobility without travel surveys[J].Proceedings of the National Academy of Sciences of the United States of America, 2016, 113(37):E5370-E5378. [15] Alexander L, Jiang Shan, Murga M, et al.Origin-destination trips by purpose and time of day inferred from mobile phone data[J].Transportation Research Part C:Emerging Technologies, 2015, 58:240-250. [16] 侯笑宇, 司连法, 王梅红, 等.结合手机信令数据和地理空间数据的居民职住信息识别[J].测绘通报, 2019(5):139-142. [17] Louail T, Lenormand M, Cantu Ros O G, et al.From mobile phone data to the spatial structure of cities[J].Scientific Reports, 2014, 4:5276. [18] 住房和城乡建设部城市交通基础设施监测与治理实验室.2023 年中国主要城市通勤监测报告 [R].北京:中国城市规划设计研究院,2023. [19] 刘定惠, 朱超洪, 杨永春.西部大城市居民通勤特征及其与城市空间结构的关系研究:以成都市为例[J].人文地理, 2014, 29(2):61-68. [20] 赵恒,杨柳.城市通勤特征演变规律:多中心与强中心城市的比较研究 [C]//中国城市规划学会,合肥市人民政府.美丽中国,共建共治共享 ——2024 中国城市规划年会论文集(07 城市交通规划).西安:西北大学,2024:91-101. [21] Maoh H, Tang Zhongyuan.Determinants of normal and extreme commute distance in a sprawled midsize Canadian city:evidence from Windsor, Canada[J].Journal of Transport Geography, 2012, 25:50-57. [22] Schmidt T, Top Klein-Wengel T, Christiansen L B, et al.Identifying the potential for increasing cycling in Denmark:Factors associated with short-distance and long-distance commuter cycling[J].Journal of Transport &Health, 2024, 38:101870. [23] Gosavi N, Dittakavi N S G.Commute distance and residential characteristics:weathering the storm[C]//Proceedings of 2025 Transportation Planning and Sustainable Mobility.Singapore:Springer Nature Singapore, 2025:91-107. [24] 红黑人口库.第七次人口普查[EB/OL].(2021-11-25)[2025-10-10].https://www.hongheiku.com/. |