The activity space and the 15-minute neighborhood: An empirical study using big data in Qingdao, China




15-minute neighborhood, activity space, big data, Chinese cities, Qingdao


Daily travel distance in urban China has substantially increased. The spatial layout of the 15-minute neighborhood, which supports local living and encourages walking and biking, was detailed in the Urban Residential District Planning and Design Standards in China in 2018. This study investigates the impacts of the 15-minute neighborhood described in the 2018 standards on activity space, using mobile network data in Qingdao, China. A total of 42,991 subscribers of China Mobile are randomly sampled. The 15-minute neighborhood attributes are objectively measured for sampled residents individually. Our study shows that not all 15-minute neighborhood attributes are associated with smaller activity space. Commercial retail services and green open space, which were found to increase walking and physical activity, do not reduce activity space. On the other hand, public services such as primary school and middle school, bus stops, neighborhood centers, and sports facilities within walking distance are positively associated with smaller activity space.


Alfonzo, M., Guo, Z., Lin, L., & Day, K. (2014). Walking, obesity and urban design in Chinese neighborhoods. Preventive Medicine, 69, S79–S85.

Bibri, S. E., Krogstie, J., & Kärrholm, M. (2020). Compact city planning and development: Emerging practices and strategies for achieving the goals of sustainable development. Developments in the Built Environment, 4, 100021.

Burton, E., Jenks, M., & Williams, K. (Eds.). (2003). The compact city: A sustainable urban form? London: Routledge.

C40 Cities Climate Leadership Group & C40 Knowledge Hub. (2020, July). How to build back better with a 15-minute city. Retrieved from

Cagney, K. A., Cornwell, E. Y., Goldman, A. W., & Cai, L. (2020). Urban mobility and activity space. Annual Review of Sociology, 46(1), 623–48.

Cervero, R., & Kockelman, K. (1997). Travel demand and the 3Ds: Density, diversity, and design. Transportation Research Part D: Transport and Environment, 2(3), 199–219.

Chaskin, R. J. (1997). Perspectives on neighborhood and community: A review of the literature. Social Service Review, 71(4), 521–547.

Chen, N., Wang, C.-H., & Akar, G. (2017). Geographically weighted regression approach to investigate spatial variations in activity space. Transportation Research Record, 2671(1), 40–50.

Cheng, L., Caset, F., De Vos, J., Derudder, B., & Witlox, F. (2019). Investigating walking accessibility to recreational amenities for elderly people in Nanjing, China. Transportation Research Part D: Transport and Environment, 76, 85–99.

Chin, K., Huang, H., Horn, C., Kasanicky, I., & Weibel, R. (2019). Inferring fine-grained transport modes from mobile phone cellular signaling data. Computers, Environment and Urban Systems, 77(September), 101348.

Christiansen, L. B., Cerin, E., Badland, H., Kerr, J., Davey, R., Troelsen, J., … & Sallis, J. F. (2016). International comparisons of the associations between objective measures of the built environment and transport-related walking and cycling: IPEN adult study. Journal of Transport & Health, 3(4), 467–478.

Dantzig, G, B., & Saaty, T. L. (1973). Compact city: A plan for a livable urban environment. San Francisco: W. H. Freeman.

Department of Environment, Land, Water and Planning. (2018). 20-minute neighborhoods. Melbourne, VC: Department of Environment, Land, Water and Planning.

Dormann, C. F., McPherson, J. M., Araújo, M. B., Bivand, R., Bolliger, J., Carl, G., … & Wilson, R. (2007). Methods to account for spatial autocorrelation in the analysis of species distributional data: A review. Ecography, 30(5), 609–628.

Elldér, E. (2020). What kind of compact development makes people drive less? The “Ds of the built environment” versus neighborhood amenities. Journal of Planning Education and Research, 40(4), 432–446.

Ewing, R., & Cervero, R. (2001). Travel and the built environment: A synthesis. Transportation Research Record: Journal of the Transportation Research Board, 1780(1), 87–114.

Ewing, R., & Cervero, R. (2017). Does compact development make people drive less?” The answer is yes. Journal of the American Planning Association, 83(1), 19–25.

Feng, J., Dijst, M., Wissink, B., & Prillwitz, J. (2017). Changing travel behavior in urban China: Evidence from Nanjing 2008–2011. Transport Policy, 53, 1–10.

Freeman, L., Neckerman, K., Schwartz-Soicher, O., Quinn, J. Richards, C., Bader, M. D. M., … & Rundle, A. G. (2013). Neighborhood walkability and active travel (walking and cycling) in New York City. Journal of Urban Health, 90(4), 575–85.

Galster, G. (2001). On the nature of neighborhood. Urban Studies, 38(12), 2111–2124.

Gunn, L. D., King, T. L., Mavoa, S., Lamb, K. E., Giles-Corti, B., & Kavanagh, A. (2017). Identifying destination distances that support walking trips in local neighborhoods. Journal of Transport & Health, 5, 133–141.

Halonen, J. I., Stenholm, S., Kivimäki, M., Pentti, J., Subramanian, S. V., Kawachi, I., & Vahtera, J. (2015). Is change in availability of sports facilities associated with change in physical activity? A prospective cohort study. Preventive Medicine, 73, 10–14.

Isaacman, S., Becker, R., Cáceres, R., Kobourov, S., Martonosi, M., Rowland, J., & Varshavsky, A. (2011). Identifying important places in people’s lives from cellular network data. In K. Lyons, J. Hightower, & E. M. Huang (Eds.), Pervasive Computing, 6696, 133–151.

Järv, O., R., & Witlox, F. (2014). Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records. Transportation Research Part C: Emerging Technologies, 38(January), 122–135.

Land Transport Authority of Singapore. (2019). Land transport master plan 2040. Retrieved from

Lee, S. A., Ju, Y. J., Lee, J. E., Hyun, I. S., Nam, J. Y., Han, K.-T., & Park, E.-C. (2016). The relationship between sports facility accessibility and physical activity among Korean adults. BMC Public Health, 16(1), 893.

Li, G., Sun, S., & Fang, C. (2018). The varying driving forces of urban expansion in China: Insights from a spatial-temporal analysis. Landscape and Urban Planning, 174, 63–77.

Li, R., & Tong, D. (2016). Constructing human activity spaces: A new approach incorporating complex urban activity-travel. Journal of Transport Geography, 56(October), 23–35.

Lin, L., & He, L. (2020). Chapter eighteen—active commuting to school by Chinese school-age children. In E. O. D. Waygood, M. Friman, L. E. Olsson, & R. Mitra (Eds.), Transport and children’s wellbeing (pp. 339–357). Amsterdam: Elsevier.

Lo, A. W.-T., & Houston, D. (2018). How do compact, accessible, and walkable communities promote gender equality in spatial behavior? Journal of Transport Geography, 68, 42–54.

Lu, Y., Sun, G., Gou, Z., Liu, Y., & Zhang, X. (2019). A dose–response effect between built environment characteristics and transport walking for youths. Journal of Transport & Health, 14, 100616.

Luo, F., Li, C., & Yan, Y. (2020). Quality inspection and evaluation of satellite orthophotos in China’s third national land survey. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43(August), 1359–1363.

McCormack, G. R., Giles-Corti, B., & Bulsara, M. (2008). The relationship between destination proximity, destination mix and physical activity behaviors. Preventive Medicine, 46(1), 33–40.

Moreno, C., Allam, Z., Chabaud, D., Gall, C., & Pratlong, F. (2021). Introducing the “15-minute city”: Sustainability, resilience and place identity in future post-pandemic cities. Smart Cities, 4(1), 93–111.

Moudon, A. V., Lee, C., Cheadle, A. D., Garvin, C., Johnson, D., Schmid, T. L., & Lin, L. (2006). Operational definitions of walkable neighborhood: Theoretical and empirical insights. Journal of Physical Activity and Health, 3(S1): S99–S117.

Mulíček, O., Osman, R., & Seidenglanz, D. (2015). Urban rhythms: A chronotopic approach to urban timespace. Time & Society, 24(3), 304–325.

Mytton, O. T., Townsend, N., Rutter, H., & Foster, C. (2012). Green space and physical activity: An observational study using health survey for England data. Health & Place, 18(5), 1034–1041.

Næss, P. (2006). Accessibility, activity participation and location of activities: Exploring the links between residential location and travel behavior. Urban Studies, 43(3), 627–652.

O’Sullivan, F., & Bliss, L. (2020, November). Paris’s 15-minute city could be coming to an urban area near you. Bloomberg Businessweek. Retrieved from

Patterson, Z., & Farber, S. (2015). Potential path areas and activity spaces in application: A review. Transport Reviews, 35(6), 679–700.

Prins, R. G., Oenema, A., van der Horst, K., & Brug, J. (2009). Objective and perceived availability of physical activity opportunities: Differences in associations with physical activity behavior among urban adolescents. International Journal of Behavioral Nutrition and Physical Activity, 6(1), 70.

Qingdao Municipal Statistics Bureau, & NBS Survey Office in Qingdao. (2020). Qingdao statistical yearbook 2020. Retrieved from

Rai, R. K., Balmer, M., Rieser, M., Vaze, V. S., Schönfelder, S., & Axhausen, K. W. (2007). Capturing human activity spaces: New geometries. Transportation Research Record: Journal of the Transportation Research Board, 2021(1), 70–80.

Reimers, A. K., Wagner, M., Alvanides, S., Steinmayr, A., Reiner, M., Schmidt, S., & Woll, A. (2014). Proximity to sports facilities and sports participation for adolescents in Germany. PLoS ONE, 9(3), e93059.

Ren, F. (2016). Activity space. Oxford, UK: Oxford University Press.

Rowe, P. G. (2011). Urban residential district making in China. In W. C, Kirby, (Ed.), The People’s Republic of China at 60 (pp. 163–172). Cambridge, MA: Harvard University Asia Center.

Saelens, B. E., Sallis, J. F., Black, J. B., & Chen, D. (2003). Neighborhood-based differences in physical activity: An environment scale evaluation. American Journal of Public Health, 93(9), 1552–1558.

Shanghai Planning and Land Resource Administration Bureau, Shanghai Planning Editing and Reviewing Center, & Shanghai Urban Planning and Design Institute. (2017). Shanghai 15-minute neighborhood planning research and practice. Shanghai: Shanghai People’s Publishing House.

Schönfelder, S., & Axhausen, K. W. (2016). Urban rhythms and travel behavior: Spatial and temporal phenomena of daily travel (1st ed.). Amsterdam: Routledge.

Stevens, M. R. (2017). Does compact development make people drive less? Journal of the American Planning Association, 83(1), 7–18.

Sundquist, K., Eriksson, U., Kawakami, N., Skog, L., Ohlsson, H., & Arvidsson, D. (2011). Neighborhood walkability, physical activity, and walking behavior: The Swedish neighborhood and physical activity (SNAP) study. Social Science & Medicine, 72(8), 1266–1273.

Talen, E., & Koschinsky, J. (2013). The walkable neighborhood: A literature review. International Journal of Sustainable Land Use and Urban Planning, 1(1), 42–63.

Tao, T., Wu, X., Cao, J., Fan, Y., Das, K., & Ramaswami, A. (2020). Exploring the nonlinear relationship between the built environment and active travel in the Twin Cities. Journal of Planning Education and Research, 0739456X2091576.

Tian, L., & Shen, T. (2011). Evaluation of plan implementation in the transitional China: A case of Guangzhou city master plan. Cities, 28(1), 11–27.

Tribby, C. P., Miller, H. J., Brown, B. B., Werner, C. M., & Smith, K. R. (2015). Assessing built environment walkability using activity-space summary measures. Journal of Transport and Land Use, 9(1), 187–207.

The Ministry of Housing and Urban-Rural Development of the People’s Republic of China. (2018). The urban residential district planning and design standards (GB50180-2018). Beijing: The China Construction Industry Press.

Wang, H., Dai, X., Wu, J., Wu, X., & Nie, X. (2019). Influence of urban green open space on residents’ physical activity in China. BMC Public Health, 19(1), 1093.

Wang, Y., Yang, W., Gao, H., & Zhang, T. (2017). Technical practice and innovation of the third travel survey of Qingdao. Proceedings of the 2017 Annual Meeting of China Urban Transportation Planning, 861–70.

Wang, Z., Zhang, Z., Gao, B., & Chen, R. (2019). Research on urban travel characteristics based on multi-source big data—taking Qingdao City as an example. Paper presented at the 2019 China Urban Transport Planning Annual Conference, Chengdu, China.

Wu, N., Zhao, S., & Zhang, Q. (2016). A study on the determinants of private car ownership in China: Findings from the panel data. Transportation Research Part A: Policy and Practice, 85, 186–195.

Xinhua. (2017). China to launch third national land survey. China Daily, October 16, 2017. Retrieved from

Yang, H., Zhang, Q., Helbich, M., Lu, Y., He, D., Ettema, D., & Chen, L. (2022). Examining non-linear associations between built environments around workplace and adults’ walking behavior in Shanghai, China. Transportation Research Part A: Policy and Practice, 155, 234–246.

Yang, Y., & Diez-Roux, A. V. (2012). Walking distance by trip purpose and population subgroups. American Journal of Preventive Medicine, 43(1), 11–19.

Yuan, R.-Q., Tao, X., & Yang, X.-L. (2019). CO2 emission of urban passenger transportation in China from 2000 to 2014. Advances in Climate Change Research, 10(1), 59–67.

Zhang, W., Fang, C., Zhou, L., & Zhu, J. (2020). Measuring megaregional structure in the Pearl River Delta by mobile phone signaling data: A complex network approach. Cities, 104(September), 102809.

Zhao, P. (2010). Sustainable urban expansion and transportation in a growing megacity: Consequences of urban sprawl for mobility on the urban fringe of Beijing. Habitat International, 34(2), 236–243.

Zhao, P., Xu, Y., Liu, X., & Kwan, M.-P. (2020). Space-time dynamics of cab drivers’ stay behaviors and their relationships with built environment characteristics. Cities, 101, 102689.




How to Cite

Lin, L., & Chen, T. (2023). The activity space and the 15-minute neighborhood: An empirical study using big data in Qingdao, China . Journal of Transport and Land Use, 16(1), 1–17.