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A methodology for evacuation route planning inside buildings using geospatial technology

  • Dades identificatives

    Identificador: imarina:9285294
    Autors:
    Ramón ARodríguez-Hidalgo ABNavarro-Carrión JTZaragozí B
    Resum:
    Evacuation route planning is a fundamental task for building engineering projects. Safety regulations are established so that all occupants are driven on time out of a building to a secure place when faced with an emergency situation. As an example, Spanish building code requires the planning of evacuation routes on large and, usually, public buildings. Engineers often plan these routes on single building projects, repeatedly assigning clusters of rooms to each emergency exit in a trial-and-error process. But problems may arise for a building complex where distribution and use changes make visual analysis cumbersome and sometimes unfeasible. This problem could be solved by using well-known spatial analysis techniques, implemented as a specialized software able to partially emulate engineer reasoning. In this paper we propose and test an easily reproducible methodology that makes use of free and open source software components for solving a case study. We ran a complete test on a building floor at the University of Alicante (Spain). This institution offers a web service (WFS) that allows retrieval of 2D geometries from any building within its campus. We demonstrate how geospatial technologies and computational geometry algorithms can be used for automating the creation and optimization of evacuation routes. In our case study, the engineers' task is to verify that the load capacity of each emergency exit does not exceed the standards specified by Spain's current regulations. Using Dijkstra's algorithm, we obtain the shortest paths from every room to the most appropriate emergency exit. Once these paths are calculated, engineers can run simulations and validate, based on path statistics, different cluster configurations. Techniques and tools applied in this researchwould b
  • Altres:

    Autor segons l'article: Ramón A; Rodríguez-Hidalgo AB; Navarro-Carrión JT; Zaragozí B
    Departament: Geografia
    Autor/s de la URV: Zaragozí Zaragozí, Benito Manuel
    Paraules clau: Web services Trial-and-error process Route planning Risk management Research Information management Geospatial technology Free and open source softwares Evacuation route planning Engineers Emergency traffic control Emergency evacuation Digital storage Computational geometry algorithms Buildings Building engineering Building codes
    Resum: Evacuation route planning is a fundamental task for building engineering projects. Safety regulations are established so that all occupants are driven on time out of a building to a secure place when faced with an emergency situation. As an example, Spanish building code requires the planning of evacuation routes on large and, usually, public buildings. Engineers often plan these routes on single building projects, repeatedly assigning clusters of rooms to each emergency exit in a trial-and-error process. But problems may arise for a building complex where distribution and use changes make visual analysis cumbersome and sometimes unfeasible. This problem could be solved by using well-known spatial analysis techniques, implemented as a specialized software able to partially emulate engineer reasoning. In this paper we propose and test an easily reproducible methodology that makes use of free and open source software components for solving a case study. We ran a complete test on a building floor at the University of Alicante (Spain). This institution offers a web service (WFS) that allows retrieval of 2D geometries from any building within its campus. We demonstrate how geospatial technologies and computational geometry algorithms can be used for automating the creation and optimization of evacuation routes. In our case study, the engineers' task is to verify that the load capacity of each emergency exit does not exceed the standards specified by Spain's current regulations. Using Dijkstra's algorithm, we obtain the shortest paths from every room to the most appropriate emergency exit. Once these paths are calculated, engineers can run simulations and validate, based on path statistics, different cluster configurations. Techniques and tools applied in this researchwould be helpful in the design and risk management phases of any complex building project. © 2013 WIT Press.
    Àrees temàtiques: Management information systems Interdisciplinar General computer science Engenharias iv Engenharias iii Engenharias i Computer science (miscellaneous)
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: benito.zaragozi@urv.cat
    Identificador de l'autor: 0000-0003-2501-484X
    Data d'alta del registre: 2024-07-27
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Wit Transactions On Information And Communication Technologies. 45 155-166
    Referència de l'ítem segons les normes APA: Ramón A; Rodríguez-Hidalgo AB; Navarro-Carrión JT; Zaragozí B (2013). A methodology for evacuation route planning inside buildings using geospatial technology.
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2013
    Tipus de publicació: Proceedings Paper
  • Paraules clau:

    Computer Science (Miscellaneous),Management Information Systems
    Web services
    Trial-and-error process
    Route planning
    Risk management
    Research
    Information management
    Geospatial technology
    Free and open source softwares
    Evacuation route planning
    Engineers
    Emergency traffic control
    Emergency evacuation
    Digital storage
    Computational geometry algorithms
    Buildings
    Building engineering
    Building codes
    Management information systems
    Interdisciplinar
    General computer science
    Engenharias iv
    Engenharias iii
    Engenharias i
    Computer science (miscellaneous)
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