Skip to main content
Log in

The socio-spatial dimension of behavior analysis: Frontiers and progress in Chinese behavioral geography

  • Published:
Journal of Geographical Sciences Aims and scope Submit manuscript

Abstract

The interaction between urban space and individual behavior has led to essential social, economic and environmental consequences. Behavioral geography provides a new effective theoretical and methodological framework to investigate behavior patterns in cities. In recent years, behavior approach has become an influential analytical paradigm in Chinese urban geography. This paper provides an overview of behavioral geography research in China, by introducing the theoretical and empirical progress in behavior analysis. It is argued that behavioral approach offers a new perspective to understanding China’s urban sociospatial reconstruction and addressing social and environmental issues at micro scale. Although theoretical development still lags behind developed countries, Chinese scholars have made much progress in empirical investigations of classical socio-spatial behavior theories. This paper also provides an overview of new trends in Chinese behavioral geography that has started to apply the behavioral approach to urban social, economic and environmental issues. This paper suggests that social dimensions of behavior should be addressed more comprehensively and rigorously by using interdisciplinary theoretical and methodological frameworks, to better understand the complexity of Chinese cities and research the critical social and environmental issues in cities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Bai Kai, Ma Yaofeng, Li Tianshun et al., 2010. An association study on tourists’ cognition, perceived value and behavior intention based on structural equation model (SEM): A case study of inbound tourists in Xi'an city. Acta Geographica Sinica, 65(2): 244–255. (in Chinese)

    Google Scholar 

  • Brownstone D, Golob T, 2009. The impact of residential density on vehicle usage and energy consumption. Journal of Urban Economics, 65: 91–98.

    Article  Google Scholar 

  • Cao Xiaoshu, Lin Qiang, 2014. A SEM-based study on urban community resident’s travel behavior in Guangzhou. Acta Geographica Sinica, 66(2): 167–177. (in Chinese)

    Google Scholar 

  • Cao Xinyu, Chai Yanwei, 2007. Gender role-based differences in time allocation: Case study of Shenzhen, China. Transportation Research Record: Journal of the Transportation Research Board, 2014: 58–66.

    Article  Google Scholar 

  • Cao Xinyu, Mokhtarian P, Handy S, 2009. Examining the impacts of residential self-selection on travel behaviour: A focus on empirical findings. Transport Reviews, 29(3): 359–395.

    Article  Google Scholar 

  • Chai Yanwei, 2005. Methodological problems in behavioral geography study. Areal Research and Development, 24(2): 1–5. (in Chinese)

    Google Scholar 

  • Chai Yanwei, 2013. Space-time behavior research in China: Recent development and future prospect. Annals of the Association of American Geographers, 103(5): 1093–1099.

    Article  Google Scholar 

  • Chai Yanwei, Liu Tianbao, Ta Na, 2013. Individual behavior-based multi-scale spatial reconstruction and its planning application. Areal Research and Development, 32(4): 1–7. (in Chinese)

    Google Scholar 

  • Chai Yanwei, Liu Zhilin, Zhang Yan et al., 2015. Space-time behavior research and application in China. In: Kwan M-P, Richardson D, Wang Donggen et al. (eds). Space-Time Integration in Geography and GIScience. Netherlands: Springer, 21–38.

    Google Scholar 

  • Chai Yanwei, Shen Jie, 2006. Travel-activity based research frame of urban spatial structure. Human Geography, 21(5): 108–112, 54. (in Chinese)

    Google Scholar 

  • Chai Yanwei, Shen Yue, Ta Na, 2014. Smart travel application based on space-time behavior research. City Planning Review, 38(3): 83–89. (in Chinese)

    Google Scholar 

  • Chai Yanwei, Ta Na, Zhang Yan, 2013. Rethinking time-geography in long-term space-time behavior study: Integrating with life course theory. Human Geography, 28(2): 1–6. (in Chinese)

    Google Scholar 

  • Chai Yanwei, Yan Yaning, Okamoto K, 2011. Development of behavioral geographic research in western countries and its recent progress. Human Geography, 23(6): 1–6. (in Chinese)

    Google Scholar 

  • Chai Yanwei, Zhang Yan, Liu Zhilin, 2011. Spatial differences of home-work separation and the impacts of housing policy and urban sprawl: Evidence from household survey data in Beijing. Acta Geographica Sinica, 66(2): 157–166. (in Chinese)

    Google Scholar 

  • Chai Yanwei, Zhao Ying, 2009. Recent development in time geography. Scientia Geographica Sinica, 29 (4): 593–600. (in Chinese)

    Google Scholar 

  • Chen Zifeng, Chai Yanwei, 2014. Time allocation to in-home and out-of-home non-work activities of urban residents: A case study of Shangdi-Qinghe area in Beijing. Acta Geographica Sinica, 69(10): 1547–1556. (in Chinese)

    Google Scholar 

  • Dang Yunxiao, Zhang Wenzhong, Yu Jianhui et al., 2014. Residents’ subjective well-being and influencing factors in Beijing. Progress in Geography, 33(10): 1312–1321. (in Chinese)

    Google Scholar 

  • Ettema D, Gärling T, Olsson L E et al., 2010. Out-of-home activities, daily travel, and subjective well-being. Transportation Research Part A Policy & Practice, 44(9): 723–732.

    Article  Google Scholar 

  • Fang Zhixiang, Shaw S-L, Tu Wei et al., 2012. Spatiotemporal analysis of critical transportation links based on time geographic concepts: A case study of critical bridges in Wuhan, China. Journal of Transport Geography, 23: 44–59.

    Article  Google Scholar 

  • Feng Jian, Wang Fahui, Zhou Yixing, 2009. The spatial restructuring of population in metropolitan Beijing: Toward polycentricity in the post-reform era. Urban Geography, 30(7): 779–802.

    Article  Google Scholar 

  • Feng Jian, Zhou Yixing, 2004. Intra-urban migration and correlative spatial behavior in Beijing in the process of suburbanization: Based on 1000 questionnaires. Geographical Research, 23(2): 227–242. (in Chinese)

    Google Scholar 

  • Feng Jianxi, Dijst M, Prillwitz J et al., 2013. Travel time and distance in international perspective: A comparison between Nanjing (China) and the Randstad (The Netherlands). Urban Studies, 50(14): 2993–3010.

    Article  Google Scholar 

  • Feng Jianxi, Dijst M, Wissink B et al., 2013. The impacts of household structure on the travel behaviour of seniors and young parents in China. Journal of Transport Geography, 30: 117–126.

    Article  Google Scholar 

  • Feng Jianxi, Dijst M, Wissink B et al., 2015. Elderly co-residence and the household responsibilities hypothesis: Evidence from Nanjing, China. Urban Geography, 36: 757–776.

    Article  Google Scholar 

  • Gu Jie, Zhou Suhong, Yan Xiaopei et al., 2012. Formation mechanism of traffic congestion in view of spatio-temporal agglomeration of residents’ daily activities: A case study of Guangzhou. Scientia Geographica Sinica, 32 (8): 921–927. (in Chinese)

    Google Scholar 

  • Guo Wenbo, Zhang Yan, Chai Yanwei, 2015. Measurement of residents’ daily travel air pollution exposure and its mechanism: A case study of suburban communities in Beijing. Geographical Research, 34(7): 1310–1318. (in Chinese)

    Google Scholar 

  • Huang Jing, Deng Furong, Wu Shaowei et al., 2012. Comparisons of personal exposure to PM2.5 and CO by different commuting modes in Beijing, China. Science of the Total Environment, 425: 52–59.

    Article  Google Scholar 

  • Huang Jingnan, Gao Haowu, Han Sunsheng, 2015. The effect of traffic facilities accessibility on household commuting caused carbon emission: A case study of Wuhan city, China. Urban Planning International, 30(3): 97–105. (in Chinese)

    Google Scholar 

  • Huang, Xiaoting, 2010. Time geography and tourism planning. Urban Planning International, 25(6): 40–44. (in Chinese)

    Google Scholar 

  • Jiang Zhijie, Zhang Jie, Li Li et al., 2011. Research on interactive relationship between terrain cognition and spatial behavior in small-scale environment: A case study of Pukou Campus in Nanjing University. Acta Geographica Sinica, 66(6): 821–830. (in Chinese)

    Google Scholar 

  • Kwan M-P, 2013. Beyond space (as we knew it): Toward temporally integrated geographies of segregation, health, and accessibility: Space-time integration in geography and GIScience. Annals of the Association of American Geographers, 103(5): 39–51.

    Article  Google Scholar 

  • Kwan M-P, 2016. Geographies of Health, Disease and Well-Being: Recent Advances in Theory and Method. Routledge.

    Google Scholar 

  • Kwan M-P, Chai Yanwei, Tana, 2014. Reflections on the similarities and differences between Chinese and US cities. Asian Geographer, 31(2): 167–174.

    Article  Google Scholar 

  • Kwan M-P, Richardson D, Wang Donggen et al., 2015. Space-time Integration in Geography and GIScience. Netherlands: Springer.

    Book  Google Scholar 

  • Lee J, Kwan M-P, 2011. Visualisation of socio-spatial isolation based on human activity patterns and social networks in space-time. Tijdschrift Voor Economische En Sociale Geografie, 102(4): 468–485.

    Article  Google Scholar 

  • Lin Tao, Wang Donggen, 2014. Social networks and joint/solo activity-travel behavior. Transportation Research Part A Policy & Practice, 68(C): 18–31.

    Article  Google Scholar 

  • Liu Chao, Shen Qing, 2011. An empirical analysis of the influence of urban form on household travel and energy consumption. Computers, Environment and Urban Systems, 35: 347–357.

    Article  Google Scholar 

  • Liu Wang, Zhang Wenzhong, 2006. Study on microscopic mechanism of residents housing location choice behavior. Economic Geography, 26(5): 802–805. (in Chinese)

    Google Scholar 

  • Liu Wangbao, Hou Changying, 2013. Review and prospect of research on spatial relationship between employment and residential location in domestic and abroad. Human geography, 28(4): 7–12. (in Chinese)

    Google Scholar 

  • Liu Ye, Liu Yuqi, Feng Jiaxuan et al., 2016. Emotional well-being of social housing residents: How does neighborhood context matter? In: Wang Donggen, He Shenjing (ed.). Mobility, Sociability and Well-being of Urban Living. Berlin and Heidelberg: Springer, 249–264.

    Chapter  Google Scholar 

  • Liu Yi, Dijst M, Geertman S, 2014. Residential segregation and well-being inequality between local and migrant elderly in Shanghai. Habitat International, 2014, 42(2): 175–185.

    Article  Google Scholar 

  • Liu Yu, 2014. Multiscale analysis of human mobility. In: Chai Yanwei et al. (ed.) Frontier in Space-time Behavior Research. Nanjing: East China University Press, 56–68. (in Chinese)

    Google Scholar 

  • Liu Yu, Liu Xi, Gao Song et al., 2015. Social sensing: A new approach to understanding our socioeconomic environments. Annals of the Association of American Geographers, 105(3): 512–530.

    Article  Google Scholar 

  • Liu Zhilin, Wang Maojun, 2011. Job accessibility and its impacts on commuting time of urban residents in Beijing: From a spatial mismatch perspective. Acta Geographica Sinica, 66(4): 457–467. (in Chinese)

    Google Scholar 

  • Ma Jing, Chai Yanwei, Liu Zhilin, 2011. The mechanism of CO2 emissions from urban transport based on individuals’ travel behavior in Beijing. Acta Geographica Sinica, 66(8): 1023–1032. (in Chinese)

    Google Scholar 

  • Ma Jing, Heppenstall A, Harland K et al., 2014. Synthesising carbon emission for mega-cities: A static spatial microsimulation of transport CO2 from urban travel in Beijing. Computers, Environment and Urban Systems, 45: 78–88.

    Article  Google Scholar 

  • Ma Jing, Liu Zhilin, Chai Yanwei, 2015a. The impact of urban form on CO2 emission from work and non-work trips: The case of Beijing, China. Habitat International, 47: 1–10.

    Article  Google Scholar 

  • Ma Jing, Mitchell G, Heppenstall A, 2015b. Exploring transport carbon futures using population microsimulation and travel diaries: Beijing to 2030. Transportation Research Part D, 37: 108–122.

    Article  Google Scholar 

  • Meng Bin, Zheng Limin, Yu Huili, 2011. Commuting time change and its influencing factors in Beijing. Progress in Geography, 30: 1218–1224. (in Chinese)

    Google Scholar 

  • Mitchell G, Hargreaves A, Namdeo A et al., 2011. Land use, transport, and carbon futures: The impact of spatial form strategies in three UK urban regions. Environment and Planning A, 43: 2143–2163.

    Article  Google Scholar 

  • Niu Xinyi, Ding Liang, 2015. Analyzing job-housing spatial relationship in Shanghai using mobile phone data: Some conclusions and discussions. Shanghai Urban Planning Review, (2): 39–43. (in Chinese)

    Google Scholar 

  • Qin Xiao, Zhen Feng, 2014. The spatial planning methods of smart city on big data era. Modern Urban Research, (10): 18–24. (in Chinese)

    Google Scholar 

  • Shen Si, Xue Lulu, Liu Yu, 2008. Beijing resident’s cognitive map distortion and sources analysis based on sketch mapping method. Acta Geogrphica Sinica, 63(6): 625–634. (in Chinese)

    Google Scholar 

  • Shen Yue, Chai Yanwei, 2012. Study on commuting flexibility of residents based on GPS data: A case study of suburban mega-communities in Beijing. Acta Geographica Sinica, 67(6): 733–744. (in Chinese)

    Google Scholar 

  • Shen Yue, Chai Yanwei, 2013. Daily activity space of suburban mega-community residents in Beijing based on GPS data. Acta Geographica Sinica, 68(4): 506–516. (in Chinese)

    Google Scholar 

  • Shen Yue, Chai Yanwei, Kwan Mei-Po, 2015. Space-time fixity and flexibility of daily activities and the built environment: A case study of different types of communities in Beijing suburbs. Journal of Transport Geography, 47: 90–99.

    Article  Google Scholar 

  • Shen Yue, Kwan Mei-Po, Chai Yanwei, 2013. Investigating commuting flexibility with GPS data and 3D geovisualization: A case study of Beijing, China. Journal of Transport Geography 32(7): 1–11.

    Article  Google Scholar 

  • Sun Bindong, Dan Bo, 2015. Impact of urban built environment on residential choice of commuting mode in Shanghai. Acta Geographica Sinica, 70(10): 1664–1674. (in Chinese)

    Google Scholar 

  • Sun Bindong, Li Nanfei, Song Jiejie et al., 2010. Study on the impact of job-housing balance on commuting travels: An empirical test of a traditional idea in the field of urban planning. Urban Planning Forum, (6): 55–60. (in Chinese)

    Google Scholar 

  • Ta Na, Chai Yanwei, 2015. Car ownership, car use and activity space in suburban Beijing: An analysis based on GPS activity survey. Geographical Research, 34(6): 1149–1159. (in Chinese)

    Google Scholar 

  • Ta Na, Chai Yanwei, Kwan Mei-Po, 2015a. The relationship between the built environment and car travel distance on weekdays in Beijing. Acta Geographica Sinica, 70(10): 1675–1685. (in Chinese)

    Google Scholar 

  • Ta Na, Chai Yanwei, Kwan Mei-Po, 2015b. Suburbanization, daily lifestyle and space-behavior interaction in Beijing. Acta Geographica Sinica, 70(8): 1271–1280. (in Chinese)

    Google Scholar 

  • Ta Na, Kwan Mei-Po, Chai Yanwei et al., 2015c. Gendered space-time constraints, activity participation and household structure: A case study using a GPS-based activity survey in suburban Beijing, China. Tijdschrift voor Economische en Sociale Geografie. doi: 10.1111/tesg.12167.

    Google Scholar 

  • Tana, Mei-Po Kwan, Yanwei Chai, 2016. Urban form, car ownership and activity space in inner suburbs: A comparison between Beijing (China) and Chicago (The United States). Urban Studies, 53(9): 1784–1802.

    Article  Google Scholar 

  • Timmermans H, Golledge R G, 1990. Applications of behavioural research on spatial problems (II): Preference and choice. Progress in Human Geography, 14: 311–354.

    Article  Google Scholar 

  • Van Acker V, Goodwin P, Witlox F, 2016. Key research themes on travel behavior, lifestyle, and sustainable urban mobility. International Journal of Sustainable Transportation, 10(1): 25–32.

    Article  Google Scholar 

  • Van Acker V, Van Wee B, Witlox F, 2010. When transport geography meets social psychology: Toward a conceptual model of travel behaviour. Transport Reviews, 30(2): 219–240.

    Article  Google Scholar 

  • Wang Bo, Zhen Feng, Zhang Hao, 2014. The research on characteristics of urban activity space in Nanjing: An empirical analysis based on big data. Human Geography, 29(3): 14–21. (in Chinese)

    Google Scholar 

  • Wang De, Li Guangde, Zhu Wei et al., 2013. Establishment and application of consumers’ behavior model in Guanqian commercial street, Suzhou. City Planning Review, 37(9): 28–33. (in Chinese)

    Google Scholar 

  • Wang De, Nong Gengzhi, Zhu We, 2011. Consumer behavior and retail spatial structure in Wangfujing Street. City Planning Review, 35(7): 43–48, 60. (in Chinese)

    Google Scholar 

  • Wang De, Wang Can, Zhu Wei et al., 2015. Large-scale exposition planning and management optimization based on visitors’ behavior simulation: A case study of Qingdao international horticultural exposition 2014. City Planning Review, 39(2): 65–70. (in Chinese)

    Google Scholar 

  • Wang De, Zhang Jinqing, 2001. The analysis of consumer trip characteristics and spatial structure of commercial facilities in Shanghai. City Planning Review, (10): 6–14. (in Chinese)

    Google Scholar 

  • Wang De, Zhu Wei, Huang Wanshu et al., 2009. In-site visitor flow analysis and planning adjustment of the Shanghai Expo. City Planning Review, (8): 26–32. (in Chinese)

    Google Scholar 

  • Wang Donggen, Li Fei, Chai Yanwei, 2012. Activity spaces and sociospatial segregation in Beijing. Urban Geography, 33(2): 256–277.

    Article  Google Scholar 

  • Wang Donggen, Tao Lin, 2013, Built environments, social environments, and activity-travel behavior: A case study of Hong Kong. Journal of Transport Geography, 31: 286–295.

    Article  Google Scholar 

  • Wang Fenglong, Wang Donggen, 2014. Characteristics and determinants of car use in Beijing. Acta Geographica Sinica, 69(6): 771–781. (in Chinese)

    Google Scholar 

  • Wang Maojun, Chai Yanwei, Gao Yicheng, 2007. The progress of geographical study on the spatial analysis of cognitive map. Human geography, 22(5): 10–18. (in Chinese)

    Google Scholar 

  • Wang Maojun, Su Haiwei, Huo Tingting, 2010. The characteristics of urban spatial cognitive distortion in Beijing. Progress in Geography, 29(10): 1185–1192. (in Chinese)

    Google Scholar 

  • Wang Maojun, Zhang Xuexia, Wu Junyi et al., 2009. The spatial analysis of cognitive map distortion in the scale of neighborhood: A case study of CNU and BFU. Human Geography, 24(3): 54–60. (in Chinese)

    Google Scholar 

  • Wang Yufan, Feng Jian, 2013. Restructuring of suburban residents’ intra-urban migration behavior based on life course: A case study of Huilongguan community in Beijing. Human Geography, 28(3): 34–41. (in Chinese)

    Google Scholar 

  • Xia Yongjiu, Zhu Xigang, 2015. An analysis of urban low-income aborigines’ employment changes and influencing factors after forced movement: Empirical evidence from Nanjing. Human Geography, 30(1): 78–83. (in Chinese)

    Google Scholar 

  • Xiao Zuopeng, Chai Yanwei, Liu Zhilin, 2011. Quantitative distribution and related factors for household daily travel CO2 emissions in Beijing. Urban Studies, 18(9): 104–112. (in Chinese)

    Google Scholar 

  • Xu Xiaoxia, Chai Yanwei, 2012. Gender difference in daily leisure behavior of Beijing residents. Human Geography, 27(1): 22–28. (in Chinese)

    Google Scholar 

  • Yang Guoliang, 2003. Study on the influence of residents’ recreational activities on leisure industry. Human Geography, 18(3): 18–22. (in Chinese)

    Google Scholar 

  • Zhang Junyi, 2015. Necessity of developing a life-oriented approach for representing residential self-selection. Transportation Research Board 93rd Annual Meeting. No. 14. 2014.

    Google Scholar 

  • Zhang Wenzhong, Liu Wang, 2004. The comment on research of western intra-urban residential relocation models. Progress in Geography, 23(1): 89–95. (in Chinese)

    Google Scholar 

  • Zhang Wenzhong, Liu Wang, Li Yejin, 2003. Housings spatial distribution and residents preference on housing location in Beijing. Geographical Research, 22(6): 751–759. (in Chinese)

    Google Scholar 

  • Zhang Yan, Chai Yanwei, 2011. The spatio-temporal activity pattern of the middle and the low-income residents in Beijing, China. Sicentia Geographica Sinica, 31(9): 1056–1064. (in Chinese)

    Google Scholar 

  • Zhang Yan, Chai Yanwei, Guo Wenbo, 2014. Community differentiation of residents’ daily activity spaces in Beijing city. Areal Research and Development, 33(5): 65–71. (in Chinese)

    Google Scholar 

  • Zhao Pengjun, 2013. The impact of the built environment on individual workers’ commuting behavior in Beijing. International Journal of Sustainable Transportation, 7(5): 389–415.

    Article  Google Scholar 

  • Zhao Pengjun, Howden-Chapman P, 2010. Social inequalities in mobility: The impact of the hukou system on migrants’ job accessibility and commuting costs in Beijing. International Development Planning Review, 32(3/4): 363–384.

    Article  Google Scholar 

  • Zhao Pengjun, Bin Lü, de Roo G, 2010. Urban expansion and transportation: The impact of urban form on commuting patterns on the city fringe of Beijing. Environment and Planning A, 42(10): 2467–2486.

    Article  Google Scholar 

  • Zhao Ying, Chai Yanwei, 2010. Tour-based travel decision making and related factors of urban residents. Urban Studies, 17(10): 96–101. (in Chinese)

    Google Scholar 

  • Zhao Ying, Chai Yanwei, Dijst M, 2014. Companionship choice and its social-cultural effect: Beijing and Utrecht compared. Scientia Geographica Sinica, 34(8): 946–954. (in Chinese)

    Google Scholar 

  • Zhao Ying, Chai Yanwei, Kwan Mei-Po, 2015a. Comparison of urban residents’ travel behavior in China and the U.S.: A case study between Beijing and Chicago. Geographical Research, 33(12): 2275–2285. (in Chinese)

    Google Scholar 

  • Zhao Ying, Dijst M, Chai Yanwei, 2015b. Between haven and heaven in cities: A comparison between Beijing (China) and Utrecht (the Netherlands). Urban Studies. doi: 10.1177/0042098015596106.

    Google Scholar 

  • Zhen Feng, Qin Xiao, 2014. The application of big data in smart city research and planning. Urban Planning International, 29(6): 44–50. (in Chinese)

    Google Scholar 

  • Zhen Feng, Qin Xiao, Wang Bo, 2014. Human geography research and practical application in big data era. Human Geography, 29(3): 1–6. (in Chinese)

    Google Scholar 

  • Zhong Yangyan, Zhou Suhong, 2010. The character and mechanism of former staff-living community residents migration. Human Geography, 25(5): 36–40. (in Chinese)

    Google Scholar 

  • Zhou Jiangping, Long Ying, 2014. Jobs-housing balance of bus commuters in Beijing. Transportation Research Record: Journal of the Transportation Research Board, 2418(1): 1–10.

    Article  Google Scholar 

  • Zhou Jiangping, Murphy E, Long Ying, 2014. Commuting efficiency in the Beijing metropolitan area: An exploration combining smartcard and travel survey data. Journal of Transport Geography, 41: 175–183.

    Article  Google Scholar 

  • Zhou Suhong, 2014. Ideas about research on urban spatial structure from the perspective of space-time linkage. In: Chai Yanwei et al. (ed.) Frontier in Space-time Behavior Research. Nanjing: East China University Press, 56–68.

    Google Scholar 

  • Zhou Suhong, Deng Lifang, Kwan M P et al., 2015. Social and spatial differentiation of high and low income groups’ out-of-home activities in Guangzhou, China. Cities, 45: 81–90.

    Article  Google Scholar 

  • Zhou Suhong, Hao Xinhua, Liu Lin, 2014. Validation of spatial decay law caused by urban commercial center’s mutual attraction in polycentric city: Spatio-temporal data mining of floating cars’ GPS data in Shenzhen. Acta Geographica Sinica, 69(12): 1810–1820. (in Chinese)

    Article  Google Scholar 

  • Zhou Suhong, Yan Xiaopei, 2006. The impact of commuters’ travel pattern on urban structure: A case study in some typical communities in Guangzhou. Acta Geographica Sinica, 61(2): 179–189. (in Chinese)

    Google Scholar 

  • Zhu Jing, Gao Penghua, Wu Xiao et al., 2015. The commuting effects to people’s health: A case study of Xi’an. City Planning Forum, 219: 46–51. (in Chinese)

    Google Scholar 

  • Zhu Wei, Timmermans H, 2011. Modeling pedestrian shopping behavior using principles of bounded rationality: Model comparison and validation. Journal of Geographical Systems, 13(2): 101–126.

    Article  Google Scholar 

  • Zhu Wei, Wang De, 2010. A review on the models in research of consumer behavior in commercial space. Progress in Geography, 29(12): 1470–1478. (in Chinese)

    Google Scholar 

  • Zhu Wei, Wang De, Timmermans H, 2009. Applying multi-agent systems in the simulation of consumer behavior in shopping streets: The Shanghai East Nanjing Road case. Acta Geographica Sinica, 64(4): 445–455. (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Yanwei Chai or Na Ta.

Additional information

Foundation

National Natural Science Foundation of China, No.41529101, No.41571144; China Postdoctoral Science Foundation, No.2015M580305

Author

Chai Yanwei, Professor, specialized in urban studies and behavioral geography.

Ta Na, PhD

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chai, Y., Ta, N. & Ma, J. The socio-spatial dimension of behavior analysis: Frontiers and progress in Chinese behavioral geography. J. Geogr. Sci. 26, 1243–1260 (2016). https://doi.org/10.1007/s11442-016-1324-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11442-016-1324-x

Keywords

Navigation