Paper Info
Title
Simulating Urban Growth with Raster and Vector Models: A Case Study for the City of Can Tho, Vietnam.
Abstract
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.
Year
DOI
Venue
2016
10.1007/978-3-319-51957-9_2
AGENT BASED MODELLING OF URBAN SYSTEMS, ABMUS 2016
Keywords
DocType
Volume
Agent-based simulation,Urban growth,Raster model,Vector model
Conference
10051
ISSN
Citations 
PageRank 
0302-9743
1
0.36
References 
Authors
4
6
Name
Order
Citations
PageRank
Patrick Taillandier119027.36
Arnaud Banos244.86
Alexis Drogoul3816113.42
Benoit Gaudou421229.08
Nicolas Marilleau55313.72
Quang Chi Truong610.36