Simulating Urban Growth with Raster and Vector models: A case study for the city of Can Tho, Vietnam
| Autor: | Quang Chi Truong, Benoit Gaudou, Patrick Taillandier, Arnaud Banos, Alexis Drogoul, Nicolas Marilleau |
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| Přispěvatelé: | Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - INPT (FRANCE), Institut de Recherche pour le Développement - IRD (FRANCE), Université de Rouen - UR (FRANCE), Université Pierre et Marie Curie, Paris 6 - UPMC (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Can Tho University - CTU ( VIETNAM), Identités et Différenciation de l'Environnement des Espaces et des Sociétés (IDEES), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Institut de Recherche Interdisciplinaire Homme et Société (IRIHS), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Géographie-cités (GC (UMR_8504)), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Unité de modélisation mathématique et informatique des systèmes complexes [Bondy] (UMMISCO), Institut de Recherche pour le Développement (IRD [France-Nord])-Institut de la francophonie pour l'informatique-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cadi Ayyad [Marrakech] (UCA)-Université de Yaoundé I-Sorbonne Université (SU), Systèmes Multi-Agents Coopératifs (IRIT-SMAC), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, CENRES & DREAM Team, Can Tho University [Vietnam] (CTU), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Theoretical computer science
Computer science [SDV]Life Sciences [q-bio] 0507 social and economic geography 0211 other engineering and technologies Urban growth PARIS team 02 engineering and technology Space (commercial competition) 01 natural sciences Simple (abstract algebra) 0103 physical sciences H- INFORMATIQUE 010306 general physics Representation (mathematics) Agent-based simulation 021103 operations research Raster model 05 social sciences COUV 021107 urban & regional planning computer.file_format Modélisation et simulation Vector model Raster graphics Scale (map) 050703 geography computer |
| Zdroj: | Agent Based Modelling of Urban Systems ISBN: 9783319519562 AAMAS Workshops (Visionary Papers) Autonomous Agents and Multiagent Systems. AAMAS 2016. Autonomous Agents and Multiagent Systems. AAMAS 2016., 10003 (Chapter 2), Springer International Publishing, 2017, Lecture Notes in Computer Science, 978-3-319-51956-2. ⟨10.1007/978-3-319-51957-9_2⟩ Autonomous Agents and Multiagent Systems ISBN: 9783319468396 |
| Popis: | Urban growth has been widely studied and many models (in particular Cellular Automata and Agent-Based Models) have been developed. Most of these models rely on two representations of the geographic space: raster and vector. Both representations have their own strengths and drawbacks. The raster models are simpler to implement and require less data, which explains their success and why most of urban growth models are based on this representation. However, they are not adapted to microscopic dynamics such as, for example, the construction of buildings. To reach such goal, a vector-based representation of space is mandatory. However, very few vector models exist, and none of them is easily adaptable to different case studies. In this paper, we propose to use a simple raster model and to adapt it to a vector representation of the geographic space and processes allowing studying urban growth at fine scale. Both models have been validated by a case study concerning the city of Can Tho, Vietnam. |
| Databáze: | OpenAIRE |
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