Assessing verticalization effects on urban safety perception

Preprint English OPEN
Lourenço, Ricardo Barros;
(2017)
  • Subject: Statistics - Applications | I.6.5 | I.2.1

We describe an experiment with the modeling of urban verticalization effects on perceived safety scores as obtained with computer vision on Google Streetview data for New York City. Preliminary results suggests that for smaller buildings (between one and seven floors), ... View more
  • References (5)

    [1] L. Anselin and S.J. Rey. 2014. Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL. GeoDa Press LLC. hŠps://books.google.com/ books?id=MBLwrQEACAAJ

    [2] Luc Anselin, Ibnu Syabri, and Youngihn Kho. 2006. GeoDa: an introduction to spatial data analysis. Geographical analysis 38, 1 (2006), 5-22.

    [3] N. Naik, J. Philipoom, R. Raskar, and C. Hidalgo. 2014. Streetscore - Predicting the Perceived Safety of One Million Streetscapes. In 2014 IEEE Conference on Computer Vision and Paˆern Recognition Workshops. 793-799. hŠps://doi.org/10. 1109/CVPRW.2014.121

    [4] Fabian Pedregosa, Gae¨l Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Œirion, Olivier Grisel, Mathieu Blondel, Peter PreŠenhofer, Ron Weiss, Vincent Dubourg, et al. 2011. Scikit-learn: Machine learning in Python. Journal of Machine Learning Research 12, Oct (2011), 2825-2830.

    [5] Li Teng. 2012. Human Scale Development: Še common goal is that Varvsstaden in Vstra Hamnen should be an aˆractive neighborhood with human scale strategy. Master's thesis. Blekinge Institute of Technology.

  • Metrics
    No metrics available
Share - Bookmark