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We shape our buildings, but do they then shape us? A longitudinal analysis of pedestrian flows and development activity in Melbourne

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  • Andres Sevtsuk
  • Rounaq Basu
  • Bahij Chancey

Abstract

Cities are increasingly promoting walkability to tackle climate change, improve urban quality of life, and address socioeconomic inequities that auto-oriented development tends to exacerbate, prompting a need for predictive pedestrian flow models. This paper implements a novel network-based pedestrian flow model at a property-level resolution in the City of Melbourne. Data on Melbourne’s urban form, land-uses, amenities, and pedestrian walkways as well as weather conditions are used to predict pedestrian flows between different land-use pairs, which are subsequently calibrated against hourly observed pedestrian counts from automated sensors. Calibration allows the model extrapolate pedestrian flows on all streets throughout the city center based on reliable baseline observations, and to forecast how new development projects will change existing pedestrian flows. Longitudinal data availability also allows us to validate how accurate such predictions are by comparing model results to actual pedestrian counts observed in following years. Updating the built-environment data annually, we (1) test the accuracy of different calibration techniques for predicting foot-traffic on the city’s streets in subsequent years; (2) assess how changes in the built environment affect changes in foot-traffic; (3) analyze which pedestrian origin-destination flows explain observed foot-traffic during three peak weekday periods; and (4) assess the stability of model predictions over time. We find that annual changes in the built environment have a significant and measurable impact on the spatial distribution of Melbourne’s pedestrian flows. We hope this novel framework can be used by planners to implement “pedestrian impact assessments” for newly planned developments, which can complement traditional vehicular “traffic impact assessments”.

Suggested Citation

  • Andres Sevtsuk & Rounaq Basu & Bahij Chancey, 2021. "We shape our buildings, but do they then shape us? A longitudinal analysis of pedestrian flows and development activity in Melbourne," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-23, September.
  • Handle: RePEc:plo:pone00:0257534
    DOI: 10.1371/journal.pone.0257534
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    References listed on IDEAS

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    1. Basu, Rounaq & Ferreira, Joseph, 2021. "Sustainable mobility in auto-dominated Metro Boston: Challenges and opportunities post-COVID-19," Transport Policy, Elsevier, vol. 103(C), pages 197-210.
    2. repec:hal:wpaper:hal-03168957 is not listed on IDEAS
    3. Gerlinde Grasser & Delfien Dyck & Sylvia Titze & Willibald Stronegger, 2013. "Objectively measured walkability and active transport and weight-related outcomes in adults: a systematic review," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(4), pages 615-625, August.
    4. David L. Huff, 1963. "A Probabilistic Analysis of Shopping Center Trade Areas," Land Economics, University of Wisconsin Press, vol. 39(1), pages 81-90.
    5. Mathematica Policy Research, "undated". "Environment Research (About Us)," Mathematica Policy Research Reports cb92c5d806c54105ab88d6c94, Mathematica Policy Research.
    6. Sungduck Lee & Emily Talen, 2014. "Measuring Walkability: A Note on Auditing Methods," Journal of Urban Design, Taylor & Francis Journals, vol. 19(3), pages 368-388, May.
    7. Clifton, Kelly J. & Singleton, Patrick A. & Muhs, Christopher D. & Schneider, Robert J., 2016. "Representing pedestrian activity in travel demand models: Framework and application," Journal of Transport Geography, Elsevier, vol. 52(C), pages 111-122.
    8. Shatu, Farjana & Yigitcanlar, Tan & Bunker, Jonathan, 2019. "Shortest path distance vs. least directional change: Empirical testing of space syntax and geographic theories concerning pedestrian route choice behaviour," Journal of Transport Geography, Elsevier, vol. 74(C), pages 37-52.
    9. 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.
    10. Daniel A. Hartley & Nikhil Kaza & T. William Lester, 2016. "Are America’s Inner Cities Competitive? Evidence From the 2000s," Economic Development Quarterly, , vol. 30(2), pages 137-158, May.
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