A model for pedestrian movement in an urban environment built on steep topography

Eliyahu Greenberg, Asya Natapov, Dafna Fisher-Gewirtzman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work is concerned with pedestrian movement in a topographic, i.e. sloped, urban setting. The existing models for predicting pedestrian movement, like the powerful axial map (Hiller and Hanson, 1984), are limited in their reference to sloped surfaces. A new analytical model is proposed to address those limitations. This article describes in detail the logic of the proposed analytical tool and its mechanics. In the future, it will be tested in real urban environments for validation and refinement. This model is a part of a research aimed at creating a more accurate version of the axial map and provide better data for planners and designers to help them create sustainable, vibrant and economically viable environments that provide a high quality of life for their users. Tapping unto the potential of the axial map, and Space Syntax in general, and refining it is crucial for the dealing with the upcoming challenges of rapid urbanization in developing countries, urban revitalization in developed ones, as well as more cataclysmic events like the resettlement of coast dwellers displaced by rising ocean levels all over the world (who will be forced to migrate inland and settle on steeper and more rugged terrain).

Original languageEnglish
Title of host publicationProceedings - 11th International Space Syntax Symposium, SSS 2017
EditorsTeresa Heitor, Miguel Serra, Maria Bacharel, Luisa Cannas da Silva, Joao Pinelo Silva
Pages198.1-198.6
ISBN (Electronic)9789729899447
StatePublished - 2017
Event11th International Space Syntax Symposium, SSS 2017 - Lisbon, Portugal
Duration: 3 Jul 20177 Jul 2017

Publication series

NameProceedings - 11th International Space Syntax Symposium, SSS 2017

Conference

Conference11th International Space Syntax Symposium, SSS 2017
Country/TerritoryPortugal
CityLisbon
Period3/07/177/07/17

Keywords

  • Axial map
  • Pedestrian movement
  • Physical effort
  • Spatial modelling
  • Topography

All Science Journal Classification (ASJC) codes

  • Space and Planetary Science

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