INTEGRASI METODE KLASIFIKASI BERBASIS OBJEK CITRA QUICKBIRD DAN SISTEM INFORMASI GEOGRAFIS UNTUK PEMODELAN SPASIAL ZONASI KEBUTUHAN ANGKUTAN UMUM MASSAL DI KOTA BANDUNG PROVINSI JAWA BARAT

• Main Authors: , LILI SOMANTRI, , Prof. Dr. Totok Gunawan, M.S.
• 格式: Theses and Dissertations NonPeerReviewed
• 出版: [Yogyakarta] : Universitas Gadjah Mada 2014
• 主題: ETD
• 在線閱讀: https://repository.ugm.ac.id/133663/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=74426

Bandung is a city with traffic congestion problems. One of the solutions to reduce the congestion is to manage public transportation. Such mass public transportation management requires information on the zonation of territories that require the mass public transportation. It can be expected that both remote sensing technology and geographic information system can be useful in determining the zonation of territories with the need for mass public transportation in Bandung city, such as the provision of accurate data and information. The remote sensing images used were Multispectral Quickbird and Pan-Sharpened Quickbird images. The purposes of this study are 1) to develop the data of land use result the objectbased classification extraction method for modeling the spatial zonation of territories with the need for mass public transportation in Bandung city, and 2) to develop modeling the zonation through geographic information system for spatial zonation of the need and route mass public transportation in Bandung city. Methods used in the study were 1) a remote sensing method to gain the data of parameters in determining the territories with the need for mass public transportation through the object-based image approach and visual interpretation, 2) the spatial modeling of zonation by using an index model with scoring and two dimension matrix of determining the zonation of territories with the need for mass public transportation, 3) the determination of route for mass public transportation by using network analyst in geographic information system. Based on the results of the study, it can be concluded that the object-based classification method (object-based image approach-OBIA) was able to extract the data of land use from Multispectral Quickbird images with 9 category, that are regular settlement, irregular settlement, trades, industries, service, urban forest, open land, wet land, and dried land. The accuracy of lands as the result of OBIA was 42.74% compared to those of the visual interpretation of Pan-Sharpened Quickbird was 98.40%. OBIA method from Multispectral image not able to produce the data of land utilization could be used in the spatial modeling of the zonation. Modeling used the data of land utilization from visual interpretation Pan-Sharpened Quickbird image. The data of land utilization used to determine the generating zone (regular settlement, irregular settlement), and attracting zone of population movement (trades, service, industry, and education). The zonation of territories with the need for mass public transportation was based on generation of population movement, the attraction of population movement, population conditions, and road network. Sub districts with all urban villages being included into the category of requiring the mass transportation were Coblong, Sukajadi, Kiaracondong, Mandalajati, Ujungberung, and Cibiru. Based on the level of road service, zones requiring the mass public transportation were primary arterial roads, secondary arterial roads, and secondary collector roads. Based on the zonation of territories with the need for mass public transportation recommend four mass public transportation routes for busway, and one for monorail.