Crols, T orcid.org/0000-0002-9379-7770, White, R, Uljee, I et al. (3 more authors) (2015) A travel time-based variable grid approach for an activity-based cellular automata model. International Journal of Geographical Information Science, 29 (10). pp. 1757-1781. ISSN 1365-8816
Abstract
Urban growth and population growth are used in numerous models to determine their potential impacts on both the natural and the socio-economic systems. Cellular automata (CA) land-use models became popular for urban growth modelling since they predict spatial interactions between different land uses in an explicit and straightforward manner. A common deficiency of land-use models is that they only deal with abstract categories, while in reality, several activities are often hosted at one location (e.g. population, employment, agricultural yield, nature…). Recently, a multiple activity-based variable grid CA model was proposed to represent several urban activities (population and economic activities) within single model cells. The distance-decay influence rules of the model included both short- and long-distance interactions, but all distances between cells were simply Euclidean distances. The geometry of the real transportation system, as well as its interrelations with the evolving activities, were therefore not taken into account. To improve this particular model, we make the influence rules functions of time travelled on the transportation system. Specifically, the new algorithm computes and stores all travel times needed for the variable grid CA. This approach provides fast run times, and it has a higher resolution and more easily modified parameters than the alternative approach of coupling the activity-based CA model to an external transportation model. This paper presents results from one Euclidean scenario and four different transport network scenarios to show the effects on land-use and activity change in an application to Belgium. The approach can add value to urban scenario analysis and the development of transport- and activity-related spatial indicators, and constitutes a general improvement of the activity-based CA model.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Geographical Information Science on 27/05/15, available online: http://www.tandfonline.com/10.1080/13658816.2015.1047838 |
Keywords: | cellular automata, activity-based modelling, land-use change, urban growth, multimodal transportation networks |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Jun 2018 13:52 |
Last Modified: | 21 Jun 2018 13:55 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/13658816.2015.1047838 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:124167 |