22
Views
0
CrossRef citations to date
0
Altmetric
Articles

Mapping the Pulse: Heterogeneous Impacts of Human-Scale Street Design on Urban Vibrancy in Four Chinese Metropolises

ORCID Icon, , , , &
Received 13 Sep 2023, Accepted 23 Mar 2024, Published online: 11 Jul 2024

Literature Cited

  • An, Z., B. Xie, and Q. Liu. 2023. No street is an island: Street network morphologies and traffic safety. Transport Policy 141:167–81. doi: 10.1016/j.tranpol.2023.07.023.
  • Anciaes, P. R., P. Jones, and J. S. Mindell. 2016. Community severance: Where is it found and at what cost? Transport Reviews 36 (3):293–317. doi: 10.1080/01441647.2015.1077286.
  • Badrinarayanan, V., A. Kendall, and R. Cipolla. 2017. SegNet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (12):2481–95.
  • Chen, J., L. Chen, Y. Li, W. Zhang, and Y. Long. 2023. Measuring physical disorder in urban street spaces: A large-scale analysis using street view images and deep learning. Annals of the American Association of Geographers 113 (2):469–87. doi: 10.1080/24694452.2022.2114417.
  • Chen, L., L. Zhao, Y. Xiao, and Y. Lu. 2022. Investigating the spatiotemporal pattern between the built environment and urban vibrancy using big data in Shenzhen, China. Computers, Environment and Urban Systems 95:101827. doi: 10.1016/j.compenvurbsys.2022.101827.
  • Chen, Z., B. Dong, Q. Pei, and Z. Zhonghao. 2022. The impacts of urban vitality and urban density on innovation: Evidence from China’s Greater Bay Area. Habitat International 119:102490. doi: 10.1016/j.habitatint.2021.102490.
  • Cooper, C. H. V. 2017. Using spatial network analysis to model pedal cycle flows, risk and mode choice. Journal of Transport Geography 58:157–65. doi: 10.1016/j.jtrangeo.2016.12.003.
  • Cooper, C. H. V., D. Fone, and A. J. F. Chiaradia. 2014. Measuring the impact of spatial network layout on community social cohesion: A cross-sectional study. International Journal of Health Geographics 13 (1):11. doi: 10.1186/1476-072X-13-11.
  • Dong, L., C. Ratti, and S. Zheng. 2019. Predicting neighborhoods’ socioeconomic attributes using restaurant data. Proceedings of the National Academy of Sciences 116 (31):15447–52. doi: 10.1073/pnas.1903064116.
  • Ewing, R., and O. Clemente. 2013. Measuring urban design: Metrics for livable places. Washington, DC: Island Press.
  • Fang, C., S. He, and L. Wang. 2021. Spatial characterization of urban vitality and the association with various street network metrics from the multi-Scalar perspective. Frontiers in Public Health 9:677910. doi: 10.3389/fpubh.2021.677910.
  • Fang, C., G. Li, and S. Wang. 2016. Changing and differentiated urban landscape in China: Spatiotemporal patterns and driving forces. Environmental Science & Technology 50 (5):2217–−27. doi: 10.1021/acs.est.5b05198.
  • Ferrer, S., T. Ruiz, and L. Mars. 2015. A qualitative study on the role of the built environment for short walking trips. Transportation Research Part F: Traffic Psychology and Behavior 33:141–60. doi: 10.1016/j.trf.2015.07.014.
  • Fotheringham, A. S., W. Yang, and W. Kang. 2017. Multiscale geographically weighted regression (MGWR). Annals of the American Association of Geographers 107 (6):1247–65. doi: 10.1080/24694452.2017.1352480.
  • Gómez-Varo, I., X. Delclòs-Alió, and C. Miralles-Guasch. 2022. Jane Jacobs reloaded: A contemporary operationalization of urban vitality in a district in Barcelona. Cities 123:103565. doi: 10.1016/j.cities.2022.103565.
  • He, S., S. Yu, P. Wei, and C. Fang. 2019. A spatial design network analysis of street networks and the locations of leisure entertainment activities: A case study of Wuhan, China. Sustainable Cities and Society 44:880–87. doi: 10.1016/j.scs.2018.11.007.
  • Hillier, B., A. Penn, J. Hanson, T. Grajewski, and J. Xu. 1993. Natural movement: Or, configuration and attraction in urban pedestrian movement. Environment and Planning B: Planning and Design 20 (1):29–66. doi: 10.1068/b200029.
  • Huang, S., L. Xiao, Y. Zhang, L. Wang, and L. Tang. 2021. Interactive effects of natural and anthropogenic factors on heterogenetic accumulations of heavy metals in surface soils through geodetector analysis. Science of the Total Environment 789:147937. doi: 10.1016/j.scitotenv.2021.147937.
  • Jacobs, J. M. 1961. The death and life of great American cities. New York: Vintage.
  • Jiang, Y., Y. Han, M. Liu, and Y. Ye. 2022. Street vitality and built environment features: A data-informed approach from fourteen Chinese cities. Sustainable Cities and Society 79:103724. doi: 10.1016/j.scs.2022.103724.
  • Jin, X., Y. Long, W. Sun, Y. Lu, X. Yang, and J. Tang. 2017. Evaluating cities’ vitality and identifying ghost cities in China with emerging geographical data. Cities 63:98–109. doi: 10.1016/j.cities.2017.01.002.
  • Kang, C.-D. 2015. The effects of spatial accessibility and centrality to land use on walking in Seoul, Korea. Cities 46:94–103. doi: 10.1016/j.cities.2015.05.006.
  • Kerr, J., J. Emond, H. Badland, R. Reis, O. Sarmiento, J. Carlson, J. Sallis, E. Cerin, K. Cain, T. Conway, et al. 2016. Perceived neighborhood environmental attributes associated with walking and cycling for transport among adult residents of 17 cities in 12 countries: The IPEN study. Environmental Health Perspectives 124 (3):290–98. doi: 10.1289/ehp.1409466.
  • Kim, Y.-L. 2020. Data-driven approach to characterize urban vitality: How spatiotemporal context dynamically defines Seoul’s nighttime. International Journal of Geographical Information Science 34 (6):1235–56. doi: 10.1080/13658816.2019.1694680.
  • Kropf, K. 2017. The handbook of urban morphology. Hoboken, NJ: John Wiley & Sons Ltd.
  • Lefebvre, H., E. Kofman, and E. Lebas. 1968. Writings on cities. Oxford, UK: Blackwell.
  • Li, X., Y. Li, T. Jia, L. Zhou, and I. H. Hijazi. 2022. The six dimensions of built environment on urban vitality: Fusion evidence from multi-source data. Cities 121:103482. doi: 10.1016/j.cities.2021.103482.
  • Li, X., Z. Lyu, Z. Zheng, C. Zhong, I. Hijazi, and S. Cheng. 2017. Assessment of lively street network based on geographic information system and space syntax. Multimedia Tools and Applications 76:17801–19. doi: 10.1007/s11042-015-3095-2
  • Long, Y., and Y. Ye. 2019. Measuring human-scale urban form and its performance. Landscape and Urban Planning 191:103612. doi: 10.1016/j.landurbplan.2019.103612.
  • Lu, Y., Y. Yang, G. Sun, and Z. Gou. 2019. Associations between overhead-view and eye-level urban greenness and cycling behaviors. Cities 88:10–18. doi: 10.1016/j.cities.2019.01.003.
  • Ma, S., S. Li, and J. Zhang. 2023. Spatial and deep learning analyses of urban recovery from the impacts of COVID-19. Scientific Reports 13 (1):2447. doi: 10.1038/s41598-023-29189-5.
  • Ma, X., C. Ma, C. Wu, Y. Xi, R. Yang, N. Peng, C. Zhang, and F. Ren. 2021. Measuring human perceptions of streetscapes to better inform urban renewal: A perspective of scene semantic parsing. Cities 110:103086. doi: 10.1016/j.cities.2020.103086.
  • Malizia, E., and Y. Motoyama. 2016. The economic development–vibrant center connection: Tracking high-growth firms in the DC region. The Professional Geographer 68 (3):349–55. doi: 10.1080/00330124.2015.1089129.
  • March, A., Y. Rijal, S. Wilkinson, and E. Firidin Özgür. 2012. Measuring building adaptability and street vitality. Planning Practice and Research 27 (5):531–52. doi: 10.1080/02697459.2012.715813.
  • Marcus, L. 2010. Spatial capital: A proposal for an extension of space syntax into a more general urban morphology. The Journal of Space Syntax 1:30–40.
  • Middel, A., J. Lukasczyk, S. Zakrzewski, M. Arnold, and R. Maciejewski. 2019. Urban form and composition of street canyons: A human-centric big data and deep learning approach. Landscape and Urban Planning 183:122–32. doi: 10.1016/j.landurbplan.2018.12.001.
  • Montgomery, J. 1998. Making a city: Urbanity, vitality and urban design. Journal of Urban Design 3 (1):93–116. doi: 10.1080/13574809808724418.
  • Oshan, T. M., J. P. Smith, and A. S. Fotheringham. 2020. Targeting the spatial context of obesity determinants via multiscale geographically weighted regression. International Journal of Health Geographics 19 (1):11. doi: 10.1186/s12942-020-00204-6.
  • Pan, W., and J. Du. 2021. Impacts of urban morphological characteristics on nocturnal outdoor lighting environment in cities: An empirical investigation in Shenzhen. Building and Environment 192:107587. doi: 10.1016/j.buildenv.2021.107587.
  • Porta, S., V. Latora, F. Wang, S. Rueda, E. Strano, S. Scellato, A. Cardillo, E. Belli, F. Càrdenas, B. Cormenzana, et al. 2012. Street centrality and the location of economic activities in Barcelona. Urban Studies 49 (7):1471–88. doi: 10.1177/0042098011422570.
  • Sarkar, C., C. Webster, M. Pryor, D. Tang, S. Melbourne, X. Zhang, and J. Liu. 2015. Exploring associations between urban green, street design and walking: Results from the greater London boroughs. Landscape and Urban Planning 143:112–25. doi: 10.1016/j.landurbplan.2015.06.013.
  • Sassen, S. 2016. How Jane Jacobs changed the way we look at cities. The Guardian. Accessed December 3, 2023. https://cgt.columbia.edu/news/sassen-jane-jacobs-changed-way-look-cities/.
  • Sharifi, A. 2019. Resilient urban forms: A review of literature on streets and street networks. Building and Environment 147:171–87. doi: 10.1016/j.buildenv.2018.09.040.
  • Wang, J. 2023. The digital presentation of human-oriented urban design. Sustainable Cities and Society 97:104746. doi: 10.1016/j.scs.2023.104746.
  • Wang, J., T. Zhang, and B.-J. Fu. 2016. A measure of spatial stratified heterogeneity. Ecological Indicators 67:250–56. doi: 10.1016/j.ecolind.2016.02.052.
  • Wang, Y., X. Chi, D. Zhong, C. Xu, Z. Du, X. Yao, and X. Li. 2023. Rapid socioeconomic change represented by catering industry contributes to poverty eradication in China. Habitat International 138:102876. doi: 10.1016/j.habitatint.2023.102876.
  • Wirth, L. 1938. Urbanism as a way of life. American Journal of Sociology 44 (1):1–24. doi: 10.1086/217913.
  • Wu, C., Y. Ye, F. Gao, and X. Ye. 2023. Using street view images to examine the association between human perceptions of locale and urban vitality in Shenzhen, China. Sustainable Cities and Society 88:104291. doi: 10.1016/j.scs.2022.104291.
  • Wu, C., M. Zhao, and Y. Ye. 2023. Measuring urban nighttime vitality and its relationship with urban spatial structure: A data-driven approach. Environment and Planning B: Urban Analytics and City Science 50 (1):130–45.
  • Wu, J., X. Chen, and S. Chen. 2019. Temporal characteristics of waterfronts in Wuhan City and people’s behavioral preferences based on social media data. Sustainability 11 (22):6308. doi: 10.3390/su11226308.
  • Xia, C., A. Gar-On Yeh, and A. Zhang. 2020. Analyzing spatial relationships between urban land use intensity and urban vitality at street block level: A case study of five Chinese megacities. Landscape and Urban Planning 193:103669. doi: 10.1016/j.landurbplan.2019.103669.
  • Xia, C., A. Zhang, and A. Yeh. 2022. The varying relationships between multidimensional urban form and urban vitality in Chinese megacities: Insights from a comparative analysis. Annals of the American Association of Geographers 112 (1):141–66. doi: 10.1080/24694452.2021.1919502.
  • Xiao, Y., C. Sarkar, C. Webster, A. Chiaradia, and Y. Lu. 2017. Street network accessibility-based methodology for appraisal of land use master plans: An empirical case study of Wuhan, China. Land Use Policy 69:193–203. doi: 10.1016/j.landusepol.2017.09.013.
  • Xu, B., J. Wang, Z. Li, C. Xu, Y. Liao, M. Hu, J. Yang, S. Lai, L. Wang, and W. Yang. 2021. Seasonal association between viral causes of hospitalised acute lower respiratory infections and meteorological factors in China: A retrospective study. The Lancet Planetary Health 5 (3):e154–e163. doi: 10.1016/S2542-5196(20)30297-7.
  • Ye, Y., D. Li, and X. Liu. 2018. How block density and typology affect urban vitality: An exploratory analysis in Shenzhen, China. Urban Geography 39 (4):631–52. doi: 10.1080/02723638.2017.1381536.
  • Ye, Y., D. Richards, Y. Lu, X. Song, Y. Zhuang, W. Zeng, and T. Zhong. 2019. Measuring daily accessed street greenery: A human-scale approach for informing better urban planning practices. Landscape and Urban Planning 191:103434. doi: 10.1016/j.landurbplan.2018.08.028.
  • Yue, Y., Y. Zhuang, A. Yeh, J.-Y. Xie, C.-L. Ma, and Q.-Q. Li. 2017. Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy. International Journal of Geographical Information Science 31 (4):658–75. doi: 10.1080/13658816.2016.1220561.
  • Zhang, A., W. Li, J. Wu, J. Lin, J. Chu, and C. Xia. 2021. How can the urban landscape affect urban vitality at the street block level? A case study of 15 metropolises in China. Environment and Planning B Planning and Design 48 (5):1245–62. doi: 10.1177/2399808320924425

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.