کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7455993 | 1484493 | 2015 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A multi-scale modeling approach for simulating urbanization in a metropolitan region
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی
علوم اجتماعی
توسعه
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Metropolitan regions worldwide are experiencing rapid urban growth and the planners often employ prediction models to forecast the future expansion for improving the land management policies and practices. These regions are a mix of urban, peri-urban and rural areas where each sector has its unique expansion properties. This study examines the differences in urban and peri-urban growth characteristics, and their impact at different stages of prediction modeling, in city district Lahore, Pakistan. The analysis of multi-temporal land use/land cover maps revealed that the associations between major land transitions and the factors governing land changes were unique at city district, urban and peri-urban scales. A multilayer perceptron neural network was employed for modeling urbanization, and it was found that the sub-models developed for urban and peri-urban subsets returned better accuracies than those produced at the city district scale. The prediction maps of 2021 and 2035 were also produced through this approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Habitat International - Volume 50, December 2015, Pages 354-365
Journal: Habitat International - Volume 50, December 2015, Pages 354-365
نویسندگان
Saad Saleem Bhatti, Nitin Kumar Tripathi, Vilas Nitivattananon, Irfan Ahmad Rana, Chitrini Mozumder,