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Leveraging Street Level Imagery for Urban Planning

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  • Andrew Crooks
  • Linda See

Abstract

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Suggested Citation

  • Andrew Crooks & Linda See, 2022. "Leveraging Street Level Imagery for Urban Planning," Environment and Planning B, , vol. 49(3), pages 773-776, March.
    • Handle: RePEc:sae:envirb:v:49:y:2022:i:3:p:773-776
    DOI: 10.1177/23998083221083364
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    References listed on IDEAS

    as
    1. Yu Ye & Wei Zeng & Qiaomu Shen & Xiaohu Zhang & Yi Lu, 2019. "The visual quality of streets: A human-centred continuous measurement based on machine learning algorithms and street view images," Environment and Planning B, , vol. 46(8), pages 1439-1457, October.
    2. Federico Botta & Helen Susannah Moat & Tobias Preis, 2020. "Measuring the size of a crowd using Instagram," Environment and Planning B, , vol. 47(9), pages 1690-1703, November.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. 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.
    2. Seraphim Alvanides & Danny Dorling, 2022. "Featured graphics: Migrating from EP-A to EP-B," Environment and Planning B, , vol. 49(4), pages 1163-1166, May.
    3. Bartzokas-Tsiompras, Alexandros & Bakogiannis, Efthimios & Nikitas, Alexandros, 2023. "Global microscale walkability ratings and rankings: A novel composite indicator for 59 European city centres," Journal of Transport Geography, Elsevier, vol. 111(C).

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