ANALISIS KATEGORIAL PERJALANAN PADA PEKERJA DAN PENGUNJUNG DI AMBARRUKMO PLAZA DAN PASAR GOWOK

KAKA, FLORENSIA RUMARIA and Anusanto, Dwijoko (2019) ANALISIS KATEGORIAL PERJALANAN PADA PEKERJA DAN PENGUNJUNG DI AMBARRUKMO PLAZA DAN PASAR GOWOK. S2 thesis, UNIVERSITAS ATMA JAYA YOGYAKARTA.

[img]
Preview
Text (Judul dan Abstrak)
MTS 002772.pdf

Download (239kB) | Preview
[img]
Preview
Text (Bab I)
MTS 102772.pdf

Download (228kB) | Preview
[img]
Preview
Text (Bab II)
MTS 202772.pdf

Download (208kB) | Preview
[img] Text (Bab III)
MTS 302772.pdf
Restricted to Registered users only

Download (517kB)
[img] Text (Bab IV)
MTS 402772.pdf
Restricted to Registered users only

Download (262kB)
[img] Text (Bab V)
MTS 502772.pdf
Restricted to Registered users only

Download (637kB)
[img]
Preview
Text (Bab VI)
MTS 602772.pdf

Download (609kB) | Preview

Abstract

Ambarrukmo Plaza and Gowok Market are places to meet people's needs, both as a place to work and also as a place to get needs. The existence of this expenditure center makes it a trip (trip generation) that will attract many immigrants to visit these places. It is necessary to know what factors are the cause of the trip and the modeling made, then what model will be generated from the existence of the trip. From the results of the research conducted, a model was obtained from workers and visitors in Ambarrukmo Plaza shopping center and the Gowok Market, with Y being the production of trips from visitors and workers of Ambarrukmo Plaza and Gowok Market. Y1 = -2.223 +0.209 X2 + 0.207 X3 + 0.537 X4 + 0.288 X6 and the coefficient correlation 0.850 (strong correlation), Y2 = 1.147 + 0.456 X1 + 0.313 X2 + 0.421 X5 + 0.151 X6 + 0.115 X with coefficient formed at 0.929 (very strong correlation), Y3 = - 3,321 + 0,393 X1 + 0,157 X2 + 0,388 X5 + 0,343 X7 with the formed coefficient of 0,792 (strong correlation), and Y4 = -1,634 + 0,271 X1 + 0,195 X3 + 0,195 X3 + 0,265 X5 + 0,491 X6 + 0.381 X7 with the coefficient of comparison being equal to 0.855 (strong correlation). Factors that increase trip generation are the number of family members (X1), the number of family average (X2), the number of vehicle connections (X3), the amount needed by the vehicle ( X3), time needed to travel (X4), duration of trip (X5), average distance traveled (X6), type of commodity sold (X7) for workers and type of work (X7) for visitors.

Item Type: Thesis (S2)
Uncontrolled Keywords: Trip Generation , modeling, coefficient correlation
Subjects: Magister Teknik Sipil > Manajemen Konstruksi
Divisions: Pasca Sarjana > Magister Teknik Sipil
Depositing User: Editor UAJY
Date Deposited: 31 Aug 2020 02:22
Last Modified: 31 Aug 2020 02:22
URI: http://e-journal.uajy.ac.id/id/eprint/21980

Actions (login required)

View Item View Item