重塑关系视角下的行为地理学基本框架

牛彩澄; 张文佳

doi:10.13959/j.issn.1003-2398.2025.05.002

PDF(1425 KB)

人文地理 ›› 2025, Vol. 40 ›› Issue (5) : 12-22, 60. DOI: 10.13959/j.issn.1003-2398.2025.05.002

进展与动态

重塑关系视角下的行为地理学基本框架

牛彩澄 ¹ ,
张文佳 ²^,*

作者信息 +

RECONSTRUCTING THE BASIC FRAMEWORK OF BEHAVIOR GEOGRAPHY FROM A RELATIONAL PERSPECTIVE

Cai-cheng NIU ¹ ,
Wen-jia ZHANG ²^,*

Author information +

文章历史 +

摘要

行为地理学强调从微观视角探究居民行为与地理环境之间的相互作用，然而，传统范式在分析复杂人地关系时仍面临诸多局限。本文梳理当前行为地理学的发展挑战以及关系转向的理论背景与影响，尝试重构关系视角下行为地理学的理论与分析框架。该框架强调将个体置于社会关系的宏观结构背景下，建立从微观个体到个体行为网络，再到揭示地理宏观现象的跨尺度研究范式与阐释框架。强调关系网络思维旨在重构行为地理学的微观人地关系研究分析范式，突破传统静态、截面分析局限，深入理解个体间社会关系、地域间空间关联以及人与地理环境之间的多元交互过程和跨尺度机制，为破解城市复杂人地关系难题贡献理论探索和方法论创新，为区域空间可持续发展提供理论依据与支撑。

Abstract

Behavioral geography explores the interactions between human behavior and geographical environments from a micro-scale perspective, providing a foundation for understanding micro-level human-environment relations. However, traditional behavioral geography paradigms face significant limitations when analyzing complex human-environment interactions, particularly in the context of China's new urbanization phase that emphasizes human-centered and sustainable development. This paper reviews the current development challenges in behavioral geography and examines the theoretical background and disciplinary influence of the relational turn, attempting to reconstruct the theoretical and analytical framework of behavioral geography from a relational perspective. We identify three key challenges: the predominant focus on static relationships between individuals and environment while overlooking social networks and interactions; the disconnect between macro and micro-scale analyses; and the limitations of traditional data collection methods in capturing complex behavioral patterns. The proposed framework emphasizes placing individuals within the macro-structural context of social relationships, establishing a cross-scale research paradigm that bridges micro-individual behaviors and macro-geographical phenomena through network analysis. By investigating micro-scale individual spatiotemporal behaviors from a network lens, this approach reveals broader societal patterns that conventional micro-scale approaches might overlook.

导出引用

牛彩澄, 张文佳. 重塑关系视角下的行为地理学基本框架[J]. 人文地理. 2025, 40(5): 12-22, 60 https://doi.org/10.13959/j.issn.1003-2398.2025.05.002

Cai-cheng NIU, Wen-jia ZHANG. RECONSTRUCTING THE BASIC FRAMEWORK OF BEHAVIOR GEOGRAPHY FROM A RELATIONAL PERSPECTIVE[J]. HUMAN GEOGRAPHY. 2025, 40(5): 12-22, 60 https://doi.org/10.13959/j.issn.1003-2398.2025.05.002

中图分类号： K90-0

参考文献

列表( 原文顺序 | 文献年度倒序 | 文中引用次数倒序 ) 可视化分析

1	方创琳. 城乡融合发展机理与演进规律的理论解析[J]. 地理学报, 2022, 77 (4): 759- 776. Fang Chuanglin . Theoretical analysis on the mechanism and evolution law of urban-rural integration development[J]. Acta Geographica Sinica, 2022, 77 (4): 759- 776. 本文引用 [1]

2	陈明星, 叶超, 陆大道, 等. 中国特色新型城镇化理论内涵的认知与建构[J]. 地理学报, 2019, 74 (4): 633- 647. Chen Mingxing , Ye Chao , Lu Dadao , et al. Cognition and construction of the theoretical connotation for new-type urbanization with Chinese characteristics[J]. Acta Geographica Sinica, 2019, 74 (4): 633- 647. 本文引用 [1]

3	柴彦威, 刘伯初, 刘瑜, 等. 基于多源大数据的城市体征诊断指数构建与计算——以上海市为例[J]. 地理科学, 2018, 38 (1): 1- 10. Chai Yanwei , Liu Bochu , Liu Yu , et al. Construction and calculation of diagnostic index of urban signs based on multi-source big data: Case of Shanghai[J]. Scientia Geographica Sinica, 2018, 38 (1): 1- 10. 本文引用 [1]

4	张文佳, 鲁大铭. 行为地理学的方法论与微观人地关系研究范式[J]. 地理科学进展, 2022, 41 (1): 27- 39. Zhang Wenjia , Lu Daming . The methodology of behavioral geography and its research paradigm of microscale human-environment relationships[J]. Progress in Geography, 2022, 41 (1): 27- 39. 本文引用 [2]

5	蔡晓梅, 刘美新. 后结构主义背景下关系地理学的研究进展[J]. 地理学报, 2019, 74 (8): 1680- 1694. Cai Xiaomei , Liu Meixin . Research progress of relational geography under the background of poststructuralism[J]. Acta Geographica Sinica, 2019, 74 (8): 1680- 1694. 本文引用 [3]

6	Marshall D J , Staeheli L . Mapping civil society with social network analysis: Methodological possibilities and limitations[J]. Geoforum, 2015, 61, 56- 66. https://doi.org/10.1016/j.geoforum.2015.02.015 本文引用 [1]

苗长虹. 变革中的西方经济地理学: 制度、文化、关系与尺度转向[J]. 人文地理, 2004, 19 (4): 68- 76.

https://doi.org/10.13959/j.issn.1003-2398.2004.04.015

Miao

Changhong

. Western economic geography in transformation: Institutional, cultural, relational, and scalar turns[J]. Human Geography, 2004, 19 (4): 68- 76.

https://doi.org/10.13959/j.issn.1003-2398.2004.04.015

本文引用 [2]

8	李小建, 罗庆. 经济地理学的关系转向评述[J]. 世界地理研究, 2007, 16 (4): 19- 27. Li Xiaojian , Luo Qing . A review of the relational turn in economic geography[J]. World Regional Studies, 2007, 16 (4): 19- 27. 本文引用 [2]

9	Pappalardo L , Manley E , Sekara V , et al. Future directions in human mobility science[J]. Nature Computational Science, 2023, 3 (7): 588- 600. https://doi.org/10.1038/s43588-023-00469-4 本文引用 [1]

10	申悦, 王德. 行为地理学理论与方法的跨学科应用研究[J]. 地理科学进展, 2022, 41 (1): 40- 52. Shen Yue , Wang De . Interdisciplinary application of theories and methods of behavioral geography[J]. Progress in Geography, 2022, 41 (1): 40- 52. 本文引用 [3]

11	James A C . Don't stand so close to me: Public spaces, behavioral geography, and COVID-19[J]. Dialogues in Human Geography, 2020, 10 (2): 187- 190. https://doi.org/10.1177/2043820620935672 本文引用 [1]

12	王丰龙. 行为地理学的学科特色与拓展路径[J]. 地理科学进展, 2022, 41 (1): 16- 26. Wang Fenglong . On the unique features of behavioral geography and the potential avenues for its future research[J]. Progress in Geography, 2022, 41 (1): 16- 26.

13	塔娜, 柴彦威. 行为地理学的学科定位与前沿方向[J]. 地理科学进展, 2022, 41 (1): 1- 15. Ta Na , Chai Yanwei . Disciplinary position and research frontiers of behavioral geography[J]. Progress in Geography, 2022, 41 (1): 1- 15. 本文引用 [3]

14	张文佳, 牛彩澄, 朱建成. 行为网络视角下区域空间结构研究进展[J]. 地理科学进展, 2022, 41 (8): 1504- 1515. Zhang Wenjia , Niu Caicheng , Zhu Jiancheng . Progress of regional spatial structure research from the perspective of behavior network[J]. Progress in Geography, 2022, 41 (8): 1504- 1515. 本文引用 [4]

15	朱康丽, 吴建军, 李大庆. 社交与出行的相互作用研究综述[J]. 北京交通大学学报, 2021, 45 (4): 69- 78. Zhu Kangli , Wu Jianjun , Li Daqing . A review of research on interplay of social relationship and travel behavior[J]. Journal of Beijing Jiaotong University, 2021, 45 (4): 69- 78. 本文引用 [1]

柴彦威, 颜亚宁, 冈本耕平. 西方行为地理学的研究历程及最新进展[J]. 人文地理, 2008, 23 (6): 1-6, 59.

https://doi.org/10.13959/j.issn.1003-2398.2008.06.003

Chai

Yanwei

, Yan

Yaning

, Gangben

Kohei

. Research progress and recent developments in western behavioral geography[J]. Human Geography, 2008, 23 (6): 1-6, 59.

https://doi.org/10.13959/j.issn.1003-2398.2008.06.003

本文引用 [4]

17	柴彦威, 谭一洺, 申悦, 等. 空间—行为互动理论构建的基本思路[J]. 地理研究, 2017, 36 (10): 1959- 1970. Chai Yanwei , Tan Yiming , Shen Yue , et al. Basic approaches to constructing the theory of spatial-behavioral interaction[J]. Geographical Research, 2017, 36 (10): 1959- 1970. 本文引用 [1]

18	刘瑜, 姚欣, 龚咏喜, 等. 大数据时代的空间交互分析方法和应用再论[J]. 地理学报, 2020, 75 (7): 1523- 1538. Liu Yu , Yao Xin , Gong Yongxi , et al. Analytical methods and applications of spatial interactions in the era of big data[J]. Acta Geographica Sinica, 2020, 75 (7): 1523- 1538. 本文引用 [1]

王德, 谢栋灿, 王灿, 等. 个体时空行为的规律性与可预测性研究——以上海市居民工作日活动为例[J]. 地理科学进展, 2021, 40 (3): 433- 440.

Wang

, Xie

Dongcan

, Wang

Can

, et al. Regularity and predictability of individual spatiotemporal behavior: A case study of residents working day activities in Shanghai[J]. Progress in Geography, 2021, 40 (3): 433- 440.

本文引用 [1]

20	Fu X , Zhang Y , Ortúzar J D , et al. Activity-travel pattern inference based on multi-source big data[J]. Transport Reviews, 2024, 1- 23. https://doi.org/10.1080/01441647.2024.2400341

21	Dong L , Duarte F , Duranton G , et al. Defining a city: Delineating urban areas using cell-phone data[J]. Nature Cities, 2024, 1 (2): 117- 125. https://doi.org/10.1038/s44284-023-00019-z

22	Zhang W , Gong Z , Niu C , et al. Structural changes in intercity mobility networks of China during the COVID-19 outbreak: A weighted stochastic block modeling analysis[J]. Computers, Environment and Urban Systems, 2022, 96, 101846. https://doi.org/10.1016/j.compenvurbsys.2022.101846 本文引用 [2]

23	秦萧, 甄峰. 大数据与小数据结合: 信息时代城市研究方法探讨[J]. 地理科学, 2017, 37 (3): 321- 330. Qin Xiao , Zhen Feng . Combination between big data and small data: New methods of urban studies in the information era[J]. Scientia Geographica Sinica, 2017, 37 (3): 321- 330. 本文引用 [1]

王德, 韩滨鹂, 张天然, 等. 手机信令数据的出行测度准确性分析——基于与居民出行调查数据的比较[J]. 地理科学进展, 2024, 43 (5): 854- 869.

Wang

, Han

Binli

, Zhang

Tianran

, et al. Accuracy analysis of mobile signaling data in measuring travel indices: Based on the comparison with household travel survey[J]. Progress in Geography, 2024, 43 (5): 854- 869.

罗子昕, 王德, 邓良凯, 等. 上海迪士尼主题公园游客的市内消费溢出效应——基于手机信令数据和问卷数据的实证研究[J]. 旅游科学, 2023, 37 (5): 80- 97.

Luo

Zixin

, Wang

, Deng

Liangkai

, et al. The spatial spillover effect in intra-city consumption expenditure of Shanghai Disneyland tourists: An empirical study using mobile cellular data and survey data[J]. Tourism Science, 2023, 37 (5): 80- 97.

26	Yang C , Zhang Y , Zhan X , et al. Fusing mobile phone and travel survey data to model urban activity dynamics[J]. Journal of Advanced Transportation, 2020, 2020 (1): 5321385. https://doi.org/10.1155/2020/5321385 本文引用 [1]

27	张文佳, 季纯涵, 谢森锴. 复杂网络视角下时空行为轨迹模式挖掘研究[J]. 地理科学, 2021, 41 (9): 1505- 1514. Zhang Wenjia , Ji Chunhan , Xie Senkai . Pattern mining of spatio-temporal behavior trajectories by complex network analysis[J]. Scientia Geographica Sinica, 2021, 41 (9): 1505- 1514. 本文引用 [3]

28	刘军. 社会网络分析导论[M]. 北京: 社会科学文献出版社, 2004: 6, 29. Liu Jun . Introduction to Social Network Analysis[M]. Beijing: Social Sciences Academic Press, 2004: 6, 29. 本文引用 [2]

29	Freeman L C . The Development of Social Network Analysis: A Study in the Sociology of Science[M]. Vancouver: Empirical Press, 2004: 129- 158. 本文引用 [1]

30	刘军. 社会网络模型研究论析[J]. 社会学研究, 2004 (1): 1- 12. Liu Jun . Analysis of social network model research[J]. Sociological Studies, 2004 (1): 1- 12. 本文引用 [1]

31	White H C , Boorman S A , Breiger R L . Social structure from multiple networks. I. Blockmodels of roles and positions[J]. American Journal of Sociology, 1976, 81 (4): 730- 780. https://doi.org/10.1086/226141 本文引用 [1]

32	Massey D S . International migration at the dawn of the twenty-first century: The role of the state[J]. Population and Development Review, 1999, 25 (2): 303- 322. https://doi.org/10.1111/j.1728-4457.1999.00303.x 本文引用 [1]

33	Allen T D , Poteet M L , Burroughs S M . The mentor's perspective: A qualitative inquiry and future research agenda[J]. Journal of Vocational Behavior, 1997, 51 (1): 70- 89. https://doi.org/10.1006/jvbe.1997.1596 本文引用 [1]

34	Bourdieu P . The Logic of Practice[M]. California: Stanford University Press, 1990: 80- 97. 本文引用 [1]

35	Dixon D P , Jones Ⅲ J P . My dinner with Derrida, or spatial analysis and poststructuralism do lunch[J]. Environment and Planning A, 1998, 30 (2): 247- 260. https://doi.org/10.1068/a300247 本文引用 [1]

36	蔡晓梅, 曹婧, 刘俊. 拼装理论在人文地理学研究中的应用与展望[J]. 地理学报, 2022, 77 (10): 2633- 2649. Cai Xiaomei , Cao Jing , Liu Jun . Application and prospects of assemblage theory in human geography research[J]. Acta Geographica Sinica, 2022, 77 (10): 2633- 2649. 本文引用 [1]

37	Harvey D . Between space and time: Reflections on the geographical imagination[J]. Annals of the association of American geographers, 1990, 80 (3): 418- 434. https://doi.org/10.1111/j.1467-8306.1990.tb00305.x 本文引用 [1]

38	Taylor P , Derudder B . World City Network: A Global Urban Analysis[M]. London: Routledge, 2015: 8- 14. 本文引用 [1]

39	Zhang W , Fang C , Zhou L , et al. Measuring megaregional structure in the Pearl River Delta by mobile phone signaling data: A complex network approach[J]. Cities, 2020, 104, 102809. https://doi.org/10.1016/j.cities.2020.102809 本文引用 [1]

40	Zhang W , Zhao P , Niu C , et al. City networks and clusters as expressed in Chinese and Japanese languages: A multiscale network analysis with language-sensitive webpage big data[J]. Cities, 2023, 141, 104502. https://doi.org/10.1016/j.cities.2023.104502 本文引用 [1]

戴靓, 王瑞霖, 曹湛, 等. 中国城市信息网络的主干结构与影响机制[J]. 人文地理, 2024, 39 (3): 113- 122.

https://doi.org/10.13959/j.issn.1003-2398.2024.03.012

Dai

Liang

, Wang

Ruilin

, Cao

Zhan

. The influencing mechanism and backbone structure of China's intercity information network[J]. Human Geography, 2024, 39 (3): 113- 122.

https://doi.org/10.13959/j.issn.1003-2398.2024.03.012

本文引用 [2]

高鑫, 修春亮, 魏冶. 城市地理学的"流空间"视角及其中国化研究[J]. 人文地理, 2012, 27 (4): 32-36, 160.

https://doi.org/10.13959/j.issn.1003-2398.2012.04.026

Gao

Xin

, Xiu

Chunliang

, Wei

. The perspective of "Flow Space" in urban geography and its localization research in China[J]. Human Geography, 2012, 27 (4): 32-36, 160.

https://doi.org/10.13959/j.issn.1003-2398.2012.04.026

本文引用 [2]

43	Pred A . Place as historically contingent process: Structuration and the time-geography of becoming places[J]. Annals of the Association of American Geographers, 1984, 74 (2): 279- 297. https://doi.org/10.1111/j.1467-8306.1984.tb01453.x 本文引用 [1]

44	Jones M . Phase space: Geography, relational thinking, and beyond[J]. Progress in Human Geography, 2009, 33 (4): 487- 506. https://doi.org/10.1177/0309132508101599 本文引用 [1]

45	Sayre N F. Scale[M] //Castree N, Demeritt D, Liverman D. A Companion to Environmental Geography. Oxford: Wiley-Blackwell, 2009: 95-108. 本文引用 [2]

刘云刚, 王丰龙. 尺度的人文地理内涵与尺度政治——基于1980年代以来英语圈人文地理学的尺度研究[J]. 人文地理, 2011, 26 (3): 1- 6.

https://doi.org/10.13959/j.issn.1003-2398.2011.03.028

Liu

Yungang

, Wang

Fenglong

. The human geography connotation of scale and scale politics: A study on scale research in anglophone human geography since the 1980s[J]. Human Geography, 2011, 26 (3): 1- 6.

https://doi.org/10.13959/j.issn.1003-2398.2011.03.028

47	Gibson C C , Ostrom E , Ahn T K . The concept of scale and the human dimensions of global change: A survey[J]. Ecological Economics, 2000, 32 (2): 217- 239. https://doi.org/10.1016/S0921-8009(99)00092-0 本文引用 [1]

48	Cox K R . Spaces of dependence, spaces of engagement and the politics of scale, or: Looking for local politics[J]. Political Geography, 1998, 17 (1): 1- 23. https://doi.org/10.1016/S0962-6298(97)00048-6 本文引用 [1]

49	Zhang W , Thill J C . Mesoscale structures in world city networks[J]. Annals of the American Association of Geographers, 2019, 109 (3): 887- 908. https://doi.org/10.1080/24694452.2018.1484684 本文引用 [2]

50	赵志丹. 人类行为时空特性的分析、建模及动力学研究[D]. 成都: 电子科技大学, 2014: 41-83. Zhao Zhidan. Analysis, Modeling and Dynamics of Spatial-temporal Characteristics of Human Behavior [D]. Chengdu: University of Electronic Science and Technology of China, 2014: 41-83. 本文引用 [2]

51	牛彩澄, 刘承良, 殷美元. 长江经济带多元客流城市网络的空间格局及影响因素[J]. 经济地理, 2022, 42 (11): 45- 53. Niu Caicheng , Liu Chengliang , Yin Meiyuan . Spatial patterns and influence factors of urban networks with multiple passenger flows in the Yangtze River economic belt[J]. Economic Geography, 2022, 42 (11): 45- 53. 本文引用 [1]

52	柴彦威, 王恩宙. 时间地理学的基本概念与表示方法[J]. 经济地理, 1997, 17 (3): 55- 61. Chai Yanwei , Wang Enzhou . Fundamental concepts and representation methods of temporal geography[J]. Economic Geography, 1997, 17 (3): 55- 61. 本文引用 [1]

53	Gregson N . On duality and dualism: The case of structuration and time geography[J]. Progress in Human Geography, 1986, 10 (2): 184- 205. https://doi.org/10.1177/030913258601000202 本文引用 [1]

54	Giddens A . A contemporary Critique of Historical Materialism[M]. Oakland: University of California Press, 1981: 26- 47. 本文引用 [1]

55	海山. 行为地理学及其对中国地理学的意义[J]. 人文地理, 1997, 12 (4): 55- 57. https://doi.org/10.13959/j.issn.1003-2398.1997.04.012 Hai Shan . Behavioral geography and its significance for Chinese geography[J]. Human Geography, 1997, 12 (4): 55- 57. https://doi.org/10.13959/j.issn.1003-2398.1997.04.012 本文引用 [1]

56	Anderson R E . Consumer dissatisfaction: The effect of disconfirmed expectancy on perceived product performance[J]. Journal of Marketing Research, 1973, 10 (1): 38- 44. https://doi.org/10.1177/002224377301000106

57	柴彦威, 谭一洺, 申悦, 等. 空间—行为互动理论构建的基本思路[J]. 地理研究, 2017, 36 (10): 1959- 1970. Chai Yanwei , Tan Yiming , Shen Yue , et al. Basic approaches to constructing the theory of spatial-behavioral interaction[J]. Geographical Research, 2017, 36 (10): 1959- 1970. 本文引用 [1]

58	裴韬, 刘亚溪, 郭思慧, 等. 地理大数据挖掘的本质[J]. 地理学报, 2019, 74 (3): 586- 598. Pei Tao , Liu Yaxi , Guo Sihui , et al. The essence of geographic big data mining[J]. Acta Geographica Sinica, 2019, 74 (3): 586- 598. 本文引用 [2]

59	刘瑜, 姚欣, 龚咏喜, 等. 大数据时代的空间交互分析方法和应用再论[J]. 地理学报, 2020, 75 (7): 1523- 1538. Liu Yu , Yao Xin , Gong Yongxi , et al. Analytical methods and applications of spatial interactions in the era of big data[J]. Acta Geographica Sinica, 2020, 75 (7): 1523- 1538. 本文引用 [1]

60	Schelling T C . Micromotives and Macrobehavior[M]. New York: WW Norton & Company, 2006: 11- 28. 本文引用 [1]

61	Haken H . Information and Self-Organization: A Macroscopic Approach to Complex Systems[M]. Berlin: Springer, 2006: 36- 51. 本文引用 [1]

62	申悦, 柴彦威, 王冬根. ICT对居民时空行为影响研究进展[J]. 地理科学进展, 2011, 30 (6): 643- 651. Shen Yue , Chai Yanwei , Wang Donggen . Reviews on impacts of information and communication technologies on human spatial-temporal behavior[J]. Progress in Geography, 2011, 30 (6): 643- 651. 本文引用 [1]

63	Carrasco J A , Hogan B , Wellman B , et al. Collecting social network data to study social activity-travel behavior: An egocentric approach[J]. Environment and Planning B: Planning and Design, 2008, 35 (6): 961- 980. https://doi.org/10.1068/b3317t 本文引用 [1]

64	Crandall D J , Backstrom L , Cosley D , et al. Inferring social ties from geographic coincidences[J]. Proceedings of the National Academy of Sciences, 2010, 107 (52): 22436- 22441. https://doi.org/10.1073/pnas.1006155107 本文引用 [1]

65	Yang C , Fu X , Dong R . Investigating spatial-temporal characteristics of joint activity/travel behaviour with smart card data[J]. Travel Behaviour and Society, 2025, 38, 100899. https://doi.org/10.1016/j.tbs.2024.100899 本文引用 [2]

66	薛冰, 赵冰玉, 李京忠. 地理学视角下城市复杂性研究综述——基于近20年文献回顾[J]. 地理科学进展, 2022, 41 (1): 157- 172. Xue Bing , Zhao Bingyu , Li Jingzhong . Urban complexity studies from the perspective of geography: A review based on the literature in the past 20 years[J]. Progress in Geography, 2022, 41 (1): 157- 172. 本文引用 [1]

67	Eagle N , Pentland A , Lazer D . Inferring friendship network structure by using mobile phone data[J]. Proceedings of the National Academy of Sciences, 2009, 106 (36): 15274- 15278. https://doi.org/10.1073/pnas.0900282106 本文引用 [1]

68	Zhang W , Thill J C . Detecting and visualizing cohesive activitytravel patterns: A network analysis approach[J]. Computers, Environment and Urban Systems, 2017, 66, 117- 129. https://doi.org/10.1016/j.compenvurbsys.2017.08.004 本文引用 [2]

69	Zhong C , Huang X , Arisona S M , et al. Inferring building functions from a probabilistic model using public transportation data[J]. Computers, Environment and Urban Systems, 2014, 48, 124- 137. https://doi.org/10.1016/j.compenvurbsys.2014.07.004 本文引用 [1]

70	Cheng L , Yang M , De Vos J , et al. Examining geographical accessibility to multi-tier hospital care services for the elderly: A focus on spatial equity[J]. Journal of Transport & Health, 2020, 19, 100926. https://doi.org/10.1016/j.jth.2020.100926 本文引用 [1]

71	Tao Z , Cheng Y . Modelling the spatial accessibility of the elderly to healthcare services in Beijing, China[J]. Environment and Planning B: Urban Analytics and City Science, 2019, 46 (6): 1132- 1147. https://doi.org/10.1177/2399808318755145 本文引用 [1]

72	Manley E , Zhong C , Batty M . Spatiotemporal variation in travel regularity through transit user profiling[J]. Transportation, 2018, 45, 703- 732. https://doi.org/10.1007/s11116-016-9747-x 本文引用 [2]

73	Ahas R , Aasa A , Silm S , et al. Daily rhythms of suburban commuters' movements in the Tallinn metropolitan area: Case study with mobile positioning data[J]. Transportation Research Part C: Emerging Technologies, 2010, 18 (1): 45- 54. https://doi.org/10.1016/j.trc.2009.04.011 本文引用 [1]

74	Gong Y , Lin Y , Duan Z . Exploring the spatiotemporal structure of dynamic urban space using metro smart card records[J]. Computers, Environment and Urban Systems, 2017, 64, 169- 183. https://doi.org/10.1016/j.compenvurbsys.2017.02.003 本文引用 [1]

75	Kraemer M U G , Sadilek A , Zhang Q , et al. Mapping global variation in human mobility[J]. Nature Human Behaviour, 2020, 4 (8): 800- 810. https://doi.org/10.1038/s41562-020-0875-0 本文引用 [1]

76	Ballis H , Dimitriou L . Revealing personal activities schedules from synthesizing multi-period origin-destination matrices[J]. Transportation Research Part B: Methodological, 2020, 139, 224- 258. https://doi.org/10.1016/j.trb.2020.06.007 本文引用 [1]

77	Zheng Y . Trajectory data mining: An overview[J]. ACM Transactions on Intelligent Systems and Technology (TIST), 2015, 6 (3): 1- 41. 本文引用 [1]

78	Liao Y , Yeh S , Jeuken G S . From individual to collective behaviours: Exploring population heterogeneity of human mobility based on social media data[J]. EPJ Data Science, 2019, 8 (1): 1- 22. https://doi.org/10.1140/epjds/s13688-018-0179-z 本文引用 [1]

79	Xia F , Wang J , Kong X , et al. Exploring human mobility patterns in urban scenarios: A trajectory data perspective[J]. IEEE Communications Magazine, 2018, 56 (3): 142- 149. https://doi.org/10.1109/MCOM.2018.1700242 本文引用 [1]

80	Gao S , Wang Y , Gao Y , et al. Understanding urban traffic-flow characteristics: A rethinking of betweenness centrality[J]. Environment and Planning B: Planning and Design, 2013, 40 (1): 135- 153. https://doi.org/10.1068/b38141 本文引用 [1]

81	Li X , Xu Y , Zhang X , et al. Improving short-term bike sharing demand forecast through an irregular convolutional neural network[J]. Transportation Research Part C: Emerging Technologies, 2023, 147, 103984. https://doi.org/10.1016/j.trc.2022.103984 本文引用 [1]

82	Lv Z , Song H , Basanta-Val P , et al. Next-generation big dataanalytics: State of the art, challenges, and future research topics[J]. IEEE Transactions on Industrial Informatics, 2017, 13 (4): 1891- 1899. https://doi.org/10.1109/TII.2017.2650204 本文引用 [1]

83	Mokhtarian P L , Cao X . Examining the impacts of residential selfselection on travel behavior: A focus on methodologies[J]. Transportation Research Part B: Methodological, 2008, 42 (3): 204- 228. https://doi.org/10.1016/j.trb.2007.07.006 本文引用 [1]

84	Dugundji E , Páez A , Arentze T . Social networks, choices, mobility, and travel[J]. Environment and Planning B: Planning and Design, 2008, 35 (6): 956- 960. https://doi.org/10.1068/b3506ged 本文引用 [1]

85	Zhou M , Zhou J . Structural change and spatial pattern of intentional travel groups: A case study of metro riders in Hong Kong[J]. Applied Geography, 2023, 152, 102885. https://doi.org/10.1016/j.apgeog.2023.102885 本文引用 [1]

86	Páez A , Scott D M . Social influence on travel behavior: A simulation example of the decision to telecommute[J]. Environment and Planning A, 2007, 39 (3): 647- 665. https://doi.org/10.1068/a37424 本文引用 [1]

87	Carrasco J A , Miller E J . Exploring the propensity to perform social activities: A social network approach[J]. Transportation, 2006, 33, 463- 480. https://doi.org/10.1007/s11116-006-8074-z 本文引用 [1]

88	Sharmeen F , Arentze T , Timmermans H . Dynamics of face-to-face social interaction frequency: Role of accessibility, urbanization, changes in geographical distance and path dependence[J]. Journal of Transport Geography, 2014, 34, 211- 220. https://doi.org/10.1016/j.jtrangeo.2013.12.011 本文引用 [1]

89	Centola D . The spread of behavior in an online social network experiment[J]. Science, 2010, 329 (5996): 1194- 1197. https://doi.org/10.1126/science.1185231 本文引用 [1]

90	Andris C . Integrating social network data into GISystems[J]. International Journal of Geographical Information Science, 2016, 30 (10): 2009- 2031. 本文引用 [1]

Niu

, Zhang

. Causal effects of mobility intervention policies on intracity flows during the COVID-19 pandemic: The moderating role of zonal locations in the transportation networks[J]. Computers, Environment and Urban Systems, 2023, 102, 101957.

https://doi.org/10.1016/j.compenvurbsys.2023.101957

本文引用 [1]

92	Calastri C , Crastes dit Sourd R , Hess S . We want it all: Experiences from a survey seeking to capture social network structures, lifetime events and short-term travel and activity planning[J]. Transportation, 2020, 47, 175- 201. https://doi.org/10.1007/s11116-018-9858-7 本文引用 [1]

93	Rasouli S , Timmermans H . Influence of social networks on latent choice of electric cars: A mixed logit specification using experimental design data[J]. Networks and Spatial Economics, 2016, 16, 99- 130. https://doi.org/10.1007/s11067-013-9194-6 本文引用 [1]