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Incorporating networks in semantic understanding of streetscapes: Contextualising active mobility decisions

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  • Winston Yap
  • Jiat-Hwee Chang
  • Filip Biljecki

Abstract

Planning for active mobility satisfies many fundamental tenets of good urban design and planning. However, planning for active mobility is a complex endeavour due to numerous local, place-based factors that influence active mobility decisions. Recent advancements in urban data research have demonstrated the effectiveness of deep learning methods in evaluating active mobility potential for urban environments. At present, the incorporation of semantic information from deep learning models and street view imagery into spatio-temporal contexts remains a challenge. In particular, knowledge extraction from deep learning models remains an open question for urban planning and decision-making. Towards this issue, we propose a functional deep learning and network science workflow that employs open data from OpenStreetMap and Mapillary to assess factors affecting active mobility decisions and route planning. We demonstrate the generalisability of our analytical workflow through two case studies focusing on urban greenery in Nerima city (Japan) and urban visual complexity in Pasir Ris town (Singapore). Our results reveal clear patterns of heterogeneity in urban streetscapes and identify unevenness in street infrastructure provision based on destination types. Using this information, we propose specific areas for design intervention to improve active mobility planning. Our workflow is applicable for a diverse range of use cases making it relevant to a wide range of stakeholders, not limited to, urban researchers, policy makers and urban planners.

Suggested Citation

  • Winston Yap & Jiat-Hwee Chang & Filip Biljecki, 2023. "Incorporating networks in semantic understanding of streetscapes: Contextualising active mobility decisions," Environment and Planning B, , vol. 50(6), pages 1416-1437, July.
  • Handle: RePEc:sae:envirb:v:50:y:2023:i:6:p:1416-1437
    DOI: 10.1177/23998083221138832
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    1. Boeing, Geoff, 2020. "The Right Tools for the Job: The Case for Spatial Science Tool-Building," SocArXiv d267g, Center for Open Science.
    2. Michael Batty, 2021. "Science and design in the age of COVID-19," Environment and Planning B, , vol. 48(1), pages 3-8, January.
    3. Geoff Boeing & Carl Higgs & Shiqin Liu & Billie Giles-Corti & James F Sallis & Ester Cerin & Melanie Lowe & Deepti Adlakha & Erica Hinckson & Anne Vernez Moudon & Deborah Salvo & Marc A Adams & Ligia , 2022. "Using Open Data and Open-Source Software to Develop Spatial Indicators of Urban Design and Transport Features for Achieving Healthy and Sustainable Cities," Papers 2205.05240, arXiv.org.
    4. Andrew Crooks & Linda See, 2022. "Leveraging Street Level Imagery for Urban Planning," Environment and Planning B, , vol. 49(3), pages 773-776, March.
    5. Lu, Yi & Sarkar, Chinmoy & Xiao, Yang, 2018. "The effect of street-level greenery on walking behavior: Evidence from Hong Kong," Social Science & Medicine, Elsevier, vol. 208(C), pages 41-49.
    6. Becky P. Y. Loo & Winnie W. Y. Lam & Rathi Mahendran & Keiko Katagiri, 2017. "How Is the Neighborhood Environment Related to the Health of Seniors Living in Hong Kong, Singapore, and Tokyo? Some Insights for Promoting Aging in Place," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(4), pages 812-828, July.
    7. Agryzkov, Taras & Tortosa, Leandro & Vicent, Jose F., 2019. "A variant of the current flow betweenness centrality and its application in urban networks," Applied Mathematics and Computation, Elsevier, vol. 347(C), pages 600-615.
    8. Basu, Rounaq & Sevtsuk, Andres, 2022. "How do street attributes affect willingness-to-walk? City-wide pedestrian route choice analysis using big data from Boston and San Francisco," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 1-19.
    9. Geoff Boeing & Michael Batty & Shan Jiang & Lisa Schweitzer, 2022. "Urban analytics: History, trajectory and critique," Chapters, in: Sergio J. Rey & Rachel S. Franklin (ed.), Handbook of Spatial Analysis in the Social Sciences, chapter 30, pages 503-516, Edward Elgar Publishing.
    10. Dani Arribas-Bel & Mark Green & Francisco Rowe & Alex Singleton, 2021. "Open data products-A framework for creating valuable analysis ready data," Journal of Geographical Systems, Springer, vol. 23(4), pages 497-514, October.
    11. Boeing, Geoff, 2017. "OSMnx: A Python package to work with graph-theoretic OpenStreetMap street networks," SocArXiv fe4ra, Center for Open Science.
    12. Mitra, Raktim & Buliung, Ron N., 2012. "Built environment correlates of active school transportation: neighborhood and the modifiable areal unit problem," Journal of Transport Geography, Elsevier, vol. 20(1), pages 51-61.
    13. Boeing, Geoff, 2018. "Measuring the Complexity of Urban Form and Design," SocArXiv bxhrz, Center for Open Science.
    14. Maria Johansson & Catharina Sternudd & Mattias Kärrholm, 2016. "Perceived urban design qualities and affective experiences of walking," Journal of Urban Design, Taylor & Francis Journals, vol. 21(2), pages 256-275, April.
    15. Boeing, Geoff, 2017. "OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks," SocArXiv q86sd, Center for Open Science.
    16. Ate Poorthuis & Matthew Zook, 2020. "Being Smarter about Space: Drawing Lessons from Spatial Science," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 110(2), pages 349-359, March.
    17. Wong, R.C.P. & Szeto, W.Y. & Yang, Linchuan & Li, Y.C. & Wong, S.C., 2018. "Public transport policy measures for improving elderly mobility," Transport Policy, Elsevier, vol. 63(C), pages 73-79.
    18. Hou, Yuting & Yap, Winston & Chua, Rochelle & Song, Siqi & Yuen, Belinda, 2020. "The associations between older adults’ daily travel pattern and objective and perceived built environment: A study of three neighbourhoods in Singapore," Transport Policy, Elsevier, vol. 99(C), pages 314-328.
    19. Andres Sevtsuk, 2021. "Estimating Pedestrian Flows on Street Networks," Journal of the American Planning Association, Taylor & Francis Journals, vol. 87(4), pages 512-526, October.
    20. Yang, Linchuan & Ao, Yibin & Ke, Jintao & Lu, Yi & Liang, Yuan, 2021. "To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults," Journal of Transport Geography, Elsevier, vol. 94(C).
    21. Pajares, Elias & Büttner, Benjamin & Jehle, Ulrike & Nichols, Aaron & Wulfhorst, Gebhard, 2021. "Accessibility by proximity: Addressing the lack of interactive accessibility instruments for active mobility," Journal of Transport Geography, Elsevier, vol. 93(C).
    22. Hackl, Roland & Raffler, Clemens & Friesenecker, Michael & Kramar, Hans & Kalasek, Robert & Soteropoulos, Aggelos & Wolf-Eberl, Susanne & Posch, Patrick & Tomschy, Rupert, 2019. "Promoting active mobility: Evidence-based decision-making using statistical models," Journal of Transport Geography, Elsevier, vol. 80(C).
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