Simulating Future Urban Expansion in Monastir, Tunisia, as an Input for the Development of Future Risk Scenarios

Harb, Mostapha, Hagenlocher, Michael, Cotti, Davide, Kratzschmar, Elke, Baccouche, Hayet, Ben Khaled, Karem, Bellert, Felicitas, Chebil, Bouraoui, Ben Fridj, Anis, Ayed, Sonia and Garschagen, Matthias, (2019). Simulating Future Urban Expansion in Monastir, Tunisia, as an Input for the Development of Future Risk Scenarios. Journal for Geographic Information Science, 7(1), 3-9

Document type:
Article
Collection:

Metadata
Links
Versions
Statistics
  • Sub-type Journal article
    Author Harb, Mostapha
    Hagenlocher, Michael
    Cotti, Davide
    Kratzschmar, Elke
    Baccouche, Hayet
    Ben Khaled, Karem
    Bellert, Felicitas
    Chebil, Bouraoui
    Ben Fridj, Anis
    Ayed, Sonia
    Garschagen, Matthias
    Title Simulating Future Urban Expansion in Monastir, Tunisia, as an Input for the Development of Future Risk Scenarios
    Appearing in Journal for Geographic Information Science
    Volume 7
    Issue No. 1
    Publication Date 2019-05-17
    Place of Publication Bristol
    Publisher IOPscience
    Start page 3
    End page 9
    Language eng
    Abstract Under scenarios of urbanization coupled with increasing frequency and intensity of natural hazards, urban disaster risk is set to rise. Simulating future urban expansion can provide relevant information for the development of future exposure scenarios and the identification of targeted risk reduction and adaptation strategies. Here, we present an urban growth simulation for the coastal city of Monastir, Tunisia. The approach integrates local knowledge and a data-driven urban growth model to simulate urban sprawl up to 2030. A business-as-usual projection is used to predict the future growth of the city based on the historical trend. Thirteen Landsat images for the period 1975 to 2017 were used to delineate past changes in urban land cover following the European Urban Atlas standard, which served as the main input for the urban growth model. The simulation revealed that the city’s residential area is likely to grow by 127 ha to an overall size of 1,690 ha by 2030, corresponding to an increase of 8.1% compared to the urban footprint of 2017. The outcomes of the analysis presented here served as an input for the spatial simulation of future exposure to flash floods in the case study area.
    UNBIS Thesaurus URBANIZATION
    Keyword Urban growth
    SLEUTH
    future projection
    exposure
    Copyright Holder The Authors
    Copyright Year 2019
    Copyright type Creative commons
    ISBN 9783700186090
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 160 Abstract Views  -  Detailed Statistics
    Created: Mon, 15 Jul 2019, 22:35:38 JST by Aarti Basnyat on behalf of UNU EHS