Characterizing growth types in a metropolitan region as additional factors for simulating a city urbanization

Handayanto, Rahmadya Trias and Herlawati, Herlawati and Tripathi, Nitin Kumar and Samsiana, Seta (2019) Characterizing growth types in a metropolitan region as additional factors for simulating a city urbanization. In: UNSPECIFIED.

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Bekasi city, in the Jakarta Metropolitan Region, is experiencing rapid urban growth and urban sprawl which have negative impacts on the natural resources, economy, public health, and community character. City planners often employ prediction models to forecast the future urban growth for managing policies and practices. This study identified three urban growth types (infilling, outlying, and edge-expansion) through an integrated approach of remote sensing, GIS, and spatial metrics analysis. Characterizing growth types found that infilling and edge-expansion were dominant in Bekasi city. These growth types are feasible for use as driving factors of land change modelling. A multilayer perceptron network was used for modelling urbanization (with and without urban-growth driving factors). It was found that a scenario with urban growth types as driving factors were more accurate than others. Prediction maps for 2030 and 2050 were also produced through this approach with two approaches including conservation and business-as-usual scenarios. Simulation results showed that the conservation scenario could minimize the effects of diminishing vegetation, bare land, and agriculture better than a business-as-usual scenario.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Keywords / Kata Kunci: Driving factors, land use and land cover change, sprawl, neural network, urban growth modelling, spatial metrics
Subjects: Geoteknik
Jaringan Komputer
Faculty: Fakultas Teknik > Teknik Komputer D3
Depositing User: Mr. Pustakawan Fatek
Date Deposited: 07 Dec 2023 12:59
Last Modified: 07 Dec 2023 13:43

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