Modelling urban growth incorporating spatial interactions between the cities

The example of the Tehran metropolitan region

Bibliographic Data

ID21247783
AuthorsSanaz Alaei Moghadam (0000-0001-8447-4577), Mohammad Karimi (0000-0001-5016-9814, K.N.Toosi University of Technology, corresponding author), Kyoumars Habibi (0000-0002-7093-9625, University of Kurdistan)
Year2020
Volume47
Issue6
Pages1047-1064
Publication date2020-07-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning B Urban Analytics and City Science (JOURNAL)
Journal identifiersISSN: 2399-8083 • E-ISSN: 2399-8091
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/2399808318816701
OpenAlexW2903330248
LanguageEN
Citations received3
References cited29

Interactions between cities play a significant role in the development of metropolitan regions. Although these interactions and their role in the urban growth modelling have already been investigated, there is still room for more studies. In this research, in addition to conventional urban growth factors, spatial interactions between the cities (SIBC) are incorporated into urban growth modelling. This causes directional trends in urban growth (DTUG). Therefore, first the DTUG of each city was measured using a developed indicator based on the history of urban growth that was extracted from satellite images and spatial statistics. The SIBC was then estimated by integrating the DTUG of the cities. Finally, the SIBC and other driving forces, including the physical suitability, accessibility and neighbourhood effects, were integrated using a cellular automata-based model. The accuracy of the model in the Tehran metropolitan region was increased by 6.44% after considering the SIBC. The analysis of the DTUG and SIBC in the Tehran metropolitan region during 1991–2000–2007–2014 revealed specific patterns as the spatial interactions intensified over time and usually peaked in the periphery of the central business districts and intense interactions existed between the metropolises and other major cities. These findings could help urban managers with strategic decision-making in the metropolitan regions and adjust the science and practice relation in this field

Cellular automaton · Economic geography · Geography · Metropolitan area · Regional science · Computer Science · Human Mobility and Location-Based Analysis · Land Use and Ecosystem Services · Urban Design and Spatial Analysis

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