Difference between revisions of "Defining an Alternative Pathfinding Method by Approaching Social Distancing through Micro and Macro Level in the City"
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[[DC I/O 2021]] Poster by [[SAHAR GOHARI MOGHADAM]], [[AVA FATAH GEN. SCHIECK]] and [[PETROS KOUTSOLAMPROS]]. | [[DC I/O 2021]] Poster by [[SAHAR GOHARI MOGHADAM]], [[AVA FATAH GEN. SCHIECK]] and [[PETROS KOUTSOLAMPROS]]. | ||
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=Abstract= | =Abstract= | ||
Revision as of 01:48, 21 April 2022
Abstract
The outbreak of the Coronavirus in 2020 im-pacted social behaviors and urban daily ac-tivities greatly. Activities involving city path-finding and navigation have been impacted particularly because the new virus is air trans-missible, meaning that crowding should be avoided. There have been numerous social dis-tancing measures defined for daily activities in cities. However, there have not been sufficient virus safety measures for pathfinding. There is thus a need for a pathfinding method that can produce paths that could be perceived as safe from the virus by navigators.
Related studies include the mobile app “Safe Paths”, a 2020 research by MIT Media Lab which uses Bluetooth to track the number of people in locations and find paths that can be the safest from the virus. This is a time-based approach as it deals with the live tracking of pedestrians. A second study by Space Syntax Limited, em-ployed a probability-based approach, based on street network analysis, aiming to propose cy-cling and walking plans.
Rather than only using a macroscale method for pathfinding, this research aims to use both a macroscale and microscale method, as both spatial configuration and human experience matter for navigation in paths. Additionally, based on the related work, as a time-based ap-proach is not cost-efficient, a probability-based approach is chosen as the methodology.
Presentation
Conference Poster
Keywords
PENDING
Reference
DOI: https://doi.org/10.47330/DCIO.2021.HSPW7821
Bibliography
- AL-SAYED, K., TURNER, A., & HILLIER, B. (2013). Space Syntax Methodology, The Bartlett School of Graduate Studies, University College London, UK.
- BATTY, M. (2020). The Coronavirus crisis: What will the post-pandemic city look like? : Urban Analytics and City Science, Vol. 47(4) 547–552
- DUCKHAM, M. & KULIK, L. (2003). “Simplest” Paths: Automated Route Selection for Navigation. Spatial Information Theory. Foundations of Geographic Information Science, pp.169-185.
- GRAJEWSKI, T. (1992), VAUGHAN, L. (2001), Space Syntax Observation Manual, UCL.
- HILLIER, B. (2007), Space is the Machine: A Configurational Theory of Architecture. Space Syntax: London, UK. pp.99
- LANNING, D., HARRELL, G., WANG, J., (2014), Dijkstra’s algorithm and Google
