根据马朗地区 2010-2030 年城市总体规划,分析 Dau 分区住宅区的土地适宜性。

Amin Kresnajaya, Didik Taryana
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引用次数: 0

摘要

达乌(Dau)分区是马朗县的一个分区,由于马朗城的城市发展方向,该分区的功能是发展定居点。本研究旨在根据现有条件和马朗地区 2010-2030 年区域土地利用规划(RTRW)的方向,评估定居点土地的适宜性。本研究采用基于地理信息系统的 AHP 加权法进行。AHP 参数包括坡度、降雨量、COLE 指数、土地移动脆弱性、洪水脆弱性、土地利用和与道路的距离。使用 Expert Choice 11 软件进行了 AHP 处理。Dau 分区居民点的土地适宜性得出了以下结果:S1 类占研究区域的 37.12%;S2 类占 26.05%;S3 类占 16.48%;N1 类占 16.32%;N2 类占 4.03%。根据 2010-2030 年马朗地区区域土地利用报告(RTRW)得出的结果,Dau 分区的土地适合居住:S1 类占研究区域的 39.96%;S2 类占 47.08%;S3 类占 8.23%;N1 类占 4.55%;N2 类占 0.18%。参照现有条件下的 RTRW 地图,住宅用地的开发偏离了 39.25%。S1 级和 S2 级是适合开发住宅区的等级,在达乌分区的所有村庄中分布均匀,占主导地位。影响适宜性值的主要抑制因素是坡度和灾害脆弱性。
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ANALISIS KESESUAIAN LAHAN UNTUK KAWASAN PERMUKIMAN DI KECAMATAN DAU BERDASARKAN ARAHAN RTRW KABUPATEN MALANG TAHUN 2010-2030
Dau Sub-district is one of the sub-districts in Malang Regency that functions as a settlement development due to the urban development orientation of Malang City. This research aimed to assess the suitability of settlement land in existing conditions and based on the direction of the Malang District RTRW 2010-2030. This research was conducted using a GIS-based process with the AHP weighting method. The AHP parameters consisted of slope, rainfall, COLE index, land movement vulnerability, flood vulnerability, land use, and distance from roads. AHP processing was carried out using Expert Choice 11 software. The land suitability of Dau Sub-district settlements obtained results: S1 class covering 37,12%; S2 class 26,05%; S3 class 16,48%; N1 class 16,32%; and N2 class 4,03% of the study area. Land suitability for settlements in Dau Sub-district based on the 2010-2030 Malang Regency RTRW obtained results: S1 class covers 39,96%; S2 class 47,08%; S3 class 8,23%; N1 class 4,55%; and N2 class 0.18% of the research area. Referring to the RTRW map with existing conditions, the development of residential land has deviated by 39.25%. Areas with classes S1 and S2, which are suitable classes for the development of residential areas, dominate with an even distribution across all villages in Dau Sub-district. The main inhibiting factors affecting the suitability value are slope and disaster vulnerability.
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