Spatio-temporal prediction of urban expansion using bivariate statistical models: assessment of the efficacy of evidential belief functions and frequency ratio models
The urban development process is a continuous and dynamic spatio-temporal phenomenon associated with economic developments and growing populations. Understanding urban expansion processes require models capable of simulating, monitoring, and predicting both urban growth and urban sprawl. In this res...
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| Format: | Article |
| Language: | English |
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Springer
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/53864/1/Spatio-temporal%20prediction%20of%20urban%20expansion%20using%20bivariate%20statistical%20models.pdf |
| _version_ | 1796975970391949312 |
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| author | Al-sharif, Abubakr A. A. Pradhan, Biswajeet |
| author_facet | Al-sharif, Abubakr A. A. Pradhan, Biswajeet |
| author_sort | Al-sharif, Abubakr A. A. |
| collection | UPM |
| description | The urban development process is a continuous and dynamic spatio-temporal phenomenon associated with economic developments and growing populations. Understanding urban expansion processes require models capable of simulating, monitoring, and predicting both urban growth and urban sprawl. In this research, probability-based Evidential Belief Functions (EBF) and Frequency Ratio (FR) models were employed to simulate and to predict the urban expansion probability map of the metropolitan area in Tripoli, Libya. These methods have not been used before in the urban development simulations of cities. By using the geographic information system (GIS), three satellite imageries obtained from 1996, 2002, and 2010 were employed to extract seven urban-deriving factors for the study area. The urban factors are slope, distance to active economic center, distance to central business district (CBD), distance to roads, distance to built-up areas, distance to educational area, and distance to coastal areas. For model calibration, both the EBF and FR models were applied to simulate urban expansion from 1996 to 2002. Data from 2002 to 2010 were used for models validation. Consequently, future suitability maps of urban growth were produced. The validation results indicated 83 % prediction accuracy for the EBF model and 84 % for the FR model. The outcomes established that the models could be employed in the urban expansion modeling of metropolises. The applied models, however, have dynamic and temporal limitations that should be considered in urban growth analysis. |
| first_indexed | 2024-03-06T09:19:03Z |
| format | Article |
| id | upm.eprints-53864 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:19:03Z |
| publishDate | 2016 |
| publisher | Springer |
| record_format | dspace |
| spelling | upm.eprints-538642018-02-15T04:21:51Z http://psasir.upm.edu.my/id/eprint/53864/ Spatio-temporal prediction of urban expansion using bivariate statistical models: assessment of the efficacy of evidential belief functions and frequency ratio models Al-sharif, Abubakr A. A. Pradhan, Biswajeet The urban development process is a continuous and dynamic spatio-temporal phenomenon associated with economic developments and growing populations. Understanding urban expansion processes require models capable of simulating, monitoring, and predicting both urban growth and urban sprawl. In this research, probability-based Evidential Belief Functions (EBF) and Frequency Ratio (FR) models were employed to simulate and to predict the urban expansion probability map of the metropolitan area in Tripoli, Libya. These methods have not been used before in the urban development simulations of cities. By using the geographic information system (GIS), three satellite imageries obtained from 1996, 2002, and 2010 were employed to extract seven urban-deriving factors for the study area. The urban factors are slope, distance to active economic center, distance to central business district (CBD), distance to roads, distance to built-up areas, distance to educational area, and distance to coastal areas. For model calibration, both the EBF and FR models were applied to simulate urban expansion from 1996 to 2002. Data from 2002 to 2010 were used for models validation. Consequently, future suitability maps of urban growth were produced. The validation results indicated 83 % prediction accuracy for the EBF model and 84 % for the FR model. The outcomes established that the models could be employed in the urban expansion modeling of metropolises. The applied models, however, have dynamic and temporal limitations that should be considered in urban growth analysis. Springer 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/53864/1/Spatio-temporal%20prediction%20of%20urban%20expansion%20using%20bivariate%20statistical%20models.pdf Al-sharif, Abubakr A. A. and Pradhan, Biswajeet (2016) Spatio-temporal prediction of urban expansion using bivariate statistical models: assessment of the efficacy of evidential belief functions and frequency ratio models. Applied Spatial Analysis and Policy, 9 (2). pp. 213-231. ISSN 1874-463X; ESSN: 1874-4621 https://link.springer.com/article/10.1007/s12061-015-9147-1 10.1007/s12061-015-9147-1 |
| spellingShingle | Al-sharif, Abubakr A. A. Pradhan, Biswajeet Spatio-temporal prediction of urban expansion using bivariate statistical models: assessment of the efficacy of evidential belief functions and frequency ratio models |
| title | Spatio-temporal prediction of urban expansion using bivariate statistical models: assessment of the efficacy of evidential belief functions and frequency ratio models |
| title_full | Spatio-temporal prediction of urban expansion using bivariate statistical models: assessment of the efficacy of evidential belief functions and frequency ratio models |
| title_fullStr | Spatio-temporal prediction of urban expansion using bivariate statistical models: assessment of the efficacy of evidential belief functions and frequency ratio models |
| title_full_unstemmed | Spatio-temporal prediction of urban expansion using bivariate statistical models: assessment of the efficacy of evidential belief functions and frequency ratio models |
| title_short | Spatio-temporal prediction of urban expansion using bivariate statistical models: assessment of the efficacy of evidential belief functions and frequency ratio models |
| title_sort | spatio temporal prediction of urban expansion using bivariate statistical models assessment of the efficacy of evidential belief functions and frequency ratio models |
| url | http://psasir.upm.edu.my/id/eprint/53864/1/Spatio-temporal%20prediction%20of%20urban%20expansion%20using%20bivariate%20statistical%20models.pdf |
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