An Integrated Modelling Approach to Urban Growth and Land Use/Cover Change
Long-term sustainable development in developing countries requires researching and projecting urban physical growth and land use/land cover change (LUCC). This research fills a gap in the literature by exploring the issues of modelling coupled LUCC and urban growth, their causes, and the role of pol...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/11/10/1715 |
| _version_ | 1827649487372288000 |
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| author | Parviz Azizi Ali Soltani Farokh Bagheri Shahrzad Sharifi Mehdi Mikaeili |
| author_facet | Parviz Azizi Ali Soltani Farokh Bagheri Shahrzad Sharifi Mehdi Mikaeili |
| author_sort | Parviz Azizi |
| collection | DOAJ |
| description | Long-term sustainable development in developing countries requires researching and projecting urban physical growth and land use/land cover change (LUCC). This research fills a gap in the literature by exploring the issues of modelling coupled LUCC and urban growth, their causes, and the role of policymakers. Tabriz metropolitan area (TMA), located at north-west Iran, was chosen as a case study to design an integrated framework using four well-established methods: cellular automata (CA), Markov chains (MC), logistic regression (LR), and stepwise weight assessment ratio analysis (SWARA). Northern, north-west, and central TMA were affected the worst by urbanisation and the loss of cultivated and grassland between 1990 and 2020. The accessibility of arterial roadways and proximity to major cities influenced these changes. Three scenarios characterise LUCC dynamics: the uncontrolled growth scenario (UGS) and the historical trend growth scenario (HTGS) foresee significant loss of cultivated land and continued urban expansion above the long-term average in 2050, while the environmental protection growth scenario (EPGS) promotes sustainable development and compact urbanisation. The methods used in this research may be used to various contexts to examine the temporal and spatial dynamics of LUCC and urban growth. |
| first_indexed | 2024-03-09T19:57:26Z |
| format | Article |
| id | doaj.art-e11814941d7843d69e752ad0c552088b |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-09T19:57:26Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-e11814941d7843d69e752ad0c552088b2023-11-24T00:52:58ZengMDPI AGLand2073-445X2022-10-011110171510.3390/land11101715An Integrated Modelling Approach to Urban Growth and Land Use/Cover ChangeParviz Azizi0Ali Soltani1Farokh Bagheri2Shahrzad Sharifi3Mehdi Mikaeili4Department of Architecture and Planning, University of Urmia, Urmia 5756151818, IranUniSA Business, University of South Australia, Adelaide 5001, AustraliaCollege of Architecture Planning and Public Affairs, The University of Texas, Arlington, TX 76019, USADepartment of Architecture and Environmental Design, Iran University of Science & Technology, Tehran 1684613114, IranSchool of Urban Planning, College of Fine Arts, University of Tehran, Tehran 1415564583, IranLong-term sustainable development in developing countries requires researching and projecting urban physical growth and land use/land cover change (LUCC). This research fills a gap in the literature by exploring the issues of modelling coupled LUCC and urban growth, their causes, and the role of policymakers. Tabriz metropolitan area (TMA), located at north-west Iran, was chosen as a case study to design an integrated framework using four well-established methods: cellular automata (CA), Markov chains (MC), logistic regression (LR), and stepwise weight assessment ratio analysis (SWARA). Northern, north-west, and central TMA were affected the worst by urbanisation and the loss of cultivated and grassland between 1990 and 2020. The accessibility of arterial roadways and proximity to major cities influenced these changes. Three scenarios characterise LUCC dynamics: the uncontrolled growth scenario (UGS) and the historical trend growth scenario (HTGS) foresee significant loss of cultivated land and continued urban expansion above the long-term average in 2050, while the environmental protection growth scenario (EPGS) promotes sustainable development and compact urbanisation. The methods used in this research may be used to various contexts to examine the temporal and spatial dynamics of LUCC and urban growth.https://www.mdpi.com/2073-445X/11/10/1715land use changeland cover changeurban growthdriving forcecellular automatascenario simulation |
| spellingShingle | Parviz Azizi Ali Soltani Farokh Bagheri Shahrzad Sharifi Mehdi Mikaeili An Integrated Modelling Approach to Urban Growth and Land Use/Cover Change Land land use change land cover change urban growth driving force cellular automata scenario simulation |
| title | An Integrated Modelling Approach to Urban Growth and Land Use/Cover Change |
| title_full | An Integrated Modelling Approach to Urban Growth and Land Use/Cover Change |
| title_fullStr | An Integrated Modelling Approach to Urban Growth and Land Use/Cover Change |
| title_full_unstemmed | An Integrated Modelling Approach to Urban Growth and Land Use/Cover Change |
| title_short | An Integrated Modelling Approach to Urban Growth and Land Use/Cover Change |
| title_sort | integrated modelling approach to urban growth and land use cover change |
| topic | land use change land cover change urban growth driving force cellular automata scenario simulation |
| url | https://www.mdpi.com/2073-445X/11/10/1715 |
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