Studi Sebaran Perjalanan Kendaraan Bermotor Di Kabupaten Jombang Dengan Menggunakan Data Traffic Count

Rokib, Muhammad (2008) Studi Sebaran Perjalanan Kendaraan Bermotor Di Kabupaten Jombang Dengan Menggunakan Data Traffic Count. Other thesis, Institut Teknologi Sepuluh Nopember Surabaya.

[thumbnail of 3105109604-Undergraduate_Thesis.pdf] Text
3105109604-Undergraduate_Thesis.pdf - Accepted Version

Download (51MB)

Abstract

Dengan adanya mobilitas penduduk yang tinggi akibat pembangunan di berbagai sektor di Kabupaten Jombang, maka diperlukan Studi Sebaran Perjalanan agar dapat diketahui besar dan arah sebaran kendaraan antar zona dalam wilayah Kab. Jombang, sebagai bagian dari metode perencanaan transportasi empat tahap yang terdiri dari bangkitan perjalanan, sebaran perjalanan, pemilihan moda, dan pemilihan rute. Metode ini sering digunakan karena disamping efektif, prosesnya juga mudah dipahami. Analisis peramalan Bangkitan perjalanan 10 tahun mendatang diperlukan sebagai input untuk mencari besamya sebaran perjalanan. Analisis Sebaran Perjalanan menggunakan metode Unconstrained Gravity model (tanpa batasan di zona asal maupun tujuan) dipergunakan dengan kalibrasi menggunakan data traffic count. Asumsi pembebanan ruas jalan adalah All Or Nothing dengan faktor jarak sebagai variabel yang mempengaruhi sebaran perjalanan. Studi ini menunjukkan bahwa variabel yang tepat dipakai adalah jumlah penduduk, sedangkan variabel yang lain seperti jumlah pabrik, pasar, sekolah dan luas permukiman kurang mendukung. Setelah dilakukan proses kalibrasi dengan metode regresi linear maka diperoleh harga R“ yang bernilai diatas 0.5 menghasilkan Nilai K untuk Motor Cycle= 0.0000002, gol 1= 0.0000007, gol IIA= 0.000000002, gol IIB=0.8457 sedang kan nilai (3 untuk Gol MC=1,2 , gol 1= 0.4, gol IIA= 0.00001, gol IIB= 0.0000000009. Dengan model tersebut dilakukan peramalan sebaran perjalanan tahun 2017
====================================================================================================================================
With high population mobility due to development in various sectors in Jombang Regency, a Travel Distribution Study is needed so that the magnitude and direction of vehicle distribution between zones within the Regency area can be determined. Jombang, as part of a four-stage transportation planning method consisting of trip generation, trip distribution, mode selection, and route selection. This method is often used because besides being effective, the process is also easy to understand. Forecasting analysis of travel generation for the next 10 years is needed as input to find the magnitude of travel distribution. Travel distribution analysis using the Unconstrained Gravity model method (without restrictions on origin or destination zones) is used with calibration using traffic count data. The assumption of road segment loading is All Or Nothing with the distance factor as a variable that influences the distribution of trips. This study shows that the appropriate variable to use is population, while other variables such as number of factories, markets, schools and residential area are less supportive. After carrying out the calibration process using the linear regression method, the value of R" is obtained which is above 0.5 resulting in a K value for Motor Cycle= 0.0000002, goal 1= 0.0000007, goal IIA= 0.000000002, goal IIB=0.8457 while the value (3 for Goal MC=1 .2, goal 1= 0.4, goal IIA= 0.00001, goal IIB= 0.0000000009. Using this model, forecasting of travel distribution in 2017 is carried out

Item Type: Thesis (Other)
Additional Information: RSS 388.413 1 Rok s-1 2008
Uncontrolled Keywords: Sebaran, Perjalanan, Traffic Count; Distribution, Trips, Traffic Count
Subjects: T Technology > TE Highway engineering. Roads and pavements > TE7 Transportation--Planning
Divisions: Faculty of Civil Engineering and Planning > Civil Engineering > 22201-(S1) Undergraduate Thesis
Depositing User: EKO BUDI RAHARJO
Date Deposited: 21 Mar 2024 04:02
Last Modified: 21 Mar 2024 04:02
URI: http://repository.its.ac.id/id/eprint/107832

Actions (login required)

View Item View Item