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    Integrated Multicriteria Approach for Assessing Land Suitability and Predicting Informal Growth: The Case of the Greater Cairo Region, Egypt

    Source: Journal of Urban Planning and Development:;2024:;Volume ( 150 ):;issue: 002::page 04024009-1
    Author:
    Ibrahim M. Badwi
    DOI: 10.1061/JUPDDM.UPENG-4502
    Publisher: ASCE
    Abstract: Prediction and monitoring of urban sprawl is a significant urban issue for planners, decision makers, and local authorities in terms of spatial data, strategies, and prediction models. Egyptian cities have expanded rapidly in the last 40 years. This uncontrolled urban growth requires a review of Egyptian urban policies and regulations. The Greater Cairo Region (GCR) is Egypt’s economic capital and a significant industrial and commercial city. This study uses spatio-temporal data to suggest an approach based on integrating cellular automata (CA) and multicriteria evaluation (MCE) like analytical hierarchy process (AHP) and running it within the geographical information system (GIS) for monitoring, analyzing, and allocating informal growth in the context of unplanned regions like the GCR. At first, the weights of influencing growth factors were determined and calculated using AHP. Next, the probability map was created according to AHP weights. The historical probability map was then generated based on the historical development. Then a standalone CA macro was developed based on AHP weights to calculate the proximity index for existing urban and transportation features using Moore’s extended neighborhood matrix. Finally, the general suitability map was created to identify the most sensitive areas for growth over the next two decades. The prediction process was performed based on the 2012 urban boundary. Then, the prediction accuracy was verified using the Kappa coefficient based on actual urban extents in 2017. The results showed that 676 km2 (35%) of the study area was not sensitive, 386.5 km2 (20%) was slightly sensitive, 522 km2 (27%) was almost sensitive, and 348 km2 (18%) was extremely sensitive to urban sprawl. Finally, we predicted the urban growth for the period from 2022 to 2052 for every 5 years. The outcomes showed a linear scattered sprawl pattern along transportation features and an annular pattern around existing urban spaces. Therefore, fertile farming land and natural resources in the GCR are set to become almost extinct over the next two decades, threatening food production and security. These results indicate the necessity to modify the region’s urban policies to protect the agricultural areas and control the unplanned urban sprawl.
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      Integrated Multicriteria Approach for Assessing Land Suitability and Predicting Informal Growth: The Case of the Greater Cairo Region, Egypt

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4296936
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    contributor authorIbrahim M. Badwi
    date accessioned2024-04-27T22:33:28Z
    date available2024-04-27T22:33:28Z
    date issued2024/06/01
    identifier other10.1061-JUPDDM.UPENG-4502.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4296936
    description abstractPrediction and monitoring of urban sprawl is a significant urban issue for planners, decision makers, and local authorities in terms of spatial data, strategies, and prediction models. Egyptian cities have expanded rapidly in the last 40 years. This uncontrolled urban growth requires a review of Egyptian urban policies and regulations. The Greater Cairo Region (GCR) is Egypt’s economic capital and a significant industrial and commercial city. This study uses spatio-temporal data to suggest an approach based on integrating cellular automata (CA) and multicriteria evaluation (MCE) like analytical hierarchy process (AHP) and running it within the geographical information system (GIS) for monitoring, analyzing, and allocating informal growth in the context of unplanned regions like the GCR. At first, the weights of influencing growth factors were determined and calculated using AHP. Next, the probability map was created according to AHP weights. The historical probability map was then generated based on the historical development. Then a standalone CA macro was developed based on AHP weights to calculate the proximity index for existing urban and transportation features using Moore’s extended neighborhood matrix. Finally, the general suitability map was created to identify the most sensitive areas for growth over the next two decades. The prediction process was performed based on the 2012 urban boundary. Then, the prediction accuracy was verified using the Kappa coefficient based on actual urban extents in 2017. The results showed that 676 km2 (35%) of the study area was not sensitive, 386.5 km2 (20%) was slightly sensitive, 522 km2 (27%) was almost sensitive, and 348 km2 (18%) was extremely sensitive to urban sprawl. Finally, we predicted the urban growth for the period from 2022 to 2052 for every 5 years. The outcomes showed a linear scattered sprawl pattern along transportation features and an annular pattern around existing urban spaces. Therefore, fertile farming land and natural resources in the GCR are set to become almost extinct over the next two decades, threatening food production and security. These results indicate the necessity to modify the region’s urban policies to protect the agricultural areas and control the unplanned urban sprawl.
    publisherASCE
    titleIntegrated Multicriteria Approach for Assessing Land Suitability and Predicting Informal Growth: The Case of the Greater Cairo Region, Egypt
    typeJournal Article
    journal volume150
    journal issue2
    journal titleJournal of Urban Planning and Development
    identifier doi10.1061/JUPDDM.UPENG-4502
    journal fristpage04024009-1
    journal lastpage04024009-17
    page17
    treeJournal of Urban Planning and Development:;2024:;Volume ( 150 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian