KAJIAN PENETAPAN ZONA BERDASARKAN CITRA QUICKBIRD UNTUK MODEL BANGKITAN DAN TARIKAN PERJALANANDI DAERAH PERKOTAAN (STUDI EMPIRIS DI KOTA MAKASSAR)

• Main Authors: , Qadriathi DG Bau, ST.,M.Si., , Prof. Dr. Hartono, DEA., DESS
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2013
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/125376/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=65544
• Institution: Universitas Gadjah Mada

Trip generation modeling is the initial process of the four-stage transportation planning model aiming to obtain the number of the movement generated by the origin zone (settlement) and the destination zone (nonsettlement) in specified intervals at present to forecast movements in the future. Zone is a unit of transportation analysis, and in general administrative boundary is often used as a zoning boundary for field data collection because it is easier and less expensive compared to the census. It, however, has some drawbacks among others because the characteristics of movement within the administrative boundary are considered uniform or equal. Upon the consideration, the remote sensing data, particularly the Quickbird imagery with a 0.61 m high spatial resolution is used to overcome the drawbacks by defining a more detailed zone system called as semi-aggregate approach. Zone characteristics are determined by the type of land use obtained from the Quickbird imagery processing which is divided into the attraction zone consisting of settlement, building density, and building regularity, and the one consisting of individual objects such as schools, mosques, and offices. The characteristics of the zone assisted with the geographic information system identify the width and height of building in each zone. The width and height of buildings identified by the Quickbird imagery become the independent variable as the factors affecting the movement. To form the trip generation and trip attraction models, regression analysis of the independent variable as the factors affecting the movement is used. Meanwhile, to form the trip generation and trip attraction models, the regression analysis is used. The multiple linear regression prerequisite resulted in trip generation and trip attraction models. The trip generation model produced ô��»ô�· = 1,128 + 0,061(X1) + 0,038 (X2) meanwhile the trip attraction model produced ô��»ô�· = 103,295+ 0,077 (X1) + 1,973 (X2). The models were put with OD 2007 after the formation in OD Quickbird Imagery.The process resulted in corrected Quickbird imagery-based models of trip generation and trip attractionproduced Fk = 1869,5 + 0,8606 . YQb