Modelling the spatial extent of urban growth using a cellular automata-based model
A case study for Quito, Ecuador
Bibliographic Data
| ID | 9849602 |
|---|---|
| Authors | Victor H Valencia (0000-0001-8211-6776, Aarhus University, corresponding author), Gregor Levin (0000-0002-5223-914X, Aarhus University), Henning Sten Hansen (0000-0001-7004-0698, Head of Section, Aalborg University Copenhagen, Copenhagen, Denmark) |
| Year | 2020 |
| Volume | 120 |
| Issue | 2 |
| Pages | 156-173 |
| Publication date | 2020-07-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Geografisk Tidsskrift-Danish Journal of Geography (JOURNAL) |
| Journal identifiers | ISSN: 0016-7223 • E-ISSN: 1903-2471 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00167223.2020.1823867 |
| OpenAlex | W3096503700 |
| Language | EN |
| Citations received | 3 |
| References cited | 41 |
Since the late 1980s, the city of Quito shows a considerable expansion of urban land. This study generates plausible scenarios of urban growth that can be applied within urban planning and used for applications, such as projections of transportation needs, or air pollution exposure. We develop a methodology to map urban growth using the LUCIA model. The urban growth is estimated based on land use maps, regulatory constraints, population, proximity, suitability, accessibility to main roads, urban areas, and sub-centralities. The model considers the complex topography of Quito by defining the driving forces according to the elevation of the terrain. The model is calibrated for the period 2000–2016 and satisfactorily evaluated for 2018 applying a cell by cell and spatial pattern comparison. We analyse the effect on the result assessment if small errors nearby the actual and simulated urban land are considered as correct, finding an increase of 30% in the accuracy for one cell of distance. We apply the model to predict the urban growth of Quito between 2016 and 2040. Results show that, if the current trend continues, the urban land will increase by 84% with a continuous fragmentation that stabilizes around the year 2025
Cartography · Cellular automaton · Civil engineering · Elevation (ballistics · Fragmentation (computing · Geography · Land use · Physical geography · Population · Population growth · Terrain · Urban area · Urban climate · Urban expansion · Urban planning · Computer Science · Ecology · Environmental Science · Impact of Light on Environment and Health · Land Use and Ecosystem Services · Mathematics · Urban Design and Spatial Analysis
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| Unique citing works | 3 |
|---|---|
| Citations per year | 0,6 |
| Citation span | 2021 - 2025 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |