Suchergebnisse

The demand for railroad users, especially executive trains for the Jakarta-Surabaya route, continue to increase every year. The government planned the construction of the Jakarta-Surabaya semi-highspeed train to help the overloaded pantura lane and also as a form to modernize mass transportation. Therefore, study of mode choice between executive trains and Jakarta-Surabaya semi-highspeed train is needeed to analyze and determine the probability of passengers who are willing to shift modes. In this study, data obtained by distributing questionnaires using stated preference and processed using binary logit regression. The results reveal that highest probability occurs in the 3 times a day frequency scenario of 43.32% and for ticket prices of Rp. 900,000 of 75.08%.Permintaan pengguna moda kereta api khususnya kereta eksekutif untuk rute Jakarta-Surabaya terus meningkat setiap tahun. Pemerintah kemudian merencanakan pembangunan Kereta Api Semi-Cepat rute Jakarta-Surabaya untuk membantu beban jalur pantura yang sudah kelebihan beban dan juga bentuk modernsisasi transportasi massal. Studi mengenai pemilihan moda antara kereta api eksekutif dan kereta api semi-cepat rute Jakarta-Surabaya perlu dilakukan untuk menganalisa dan mengetahui probabilitas penumpang yang bersedia berpindah moda. Data dalam penelitian ini didapatkan dari penyebaran kuisioner menggunakan teknik stated preference dan kemudian dianalisis menggunakan regresi logistik biner. Hasil penelitian menunjukkan probabilitas tertinggi terjadi pada skenario frekuensi 3x sehari sebesar 43,32% dan untuk harga tiket Rp.900.000,- sebesar 75,08%.

ABSTRACTTrack Quality Index (TQI) Value Prediction Based on Frequency Data and Traffic Load for 1067 Track Gauge: Track Quality Index (TQI) is an output from a measurement train. The higher TQI value indicates the higher level of railroad damage. The government has limitations to get the TQI value due to the limited number of measuring trains that are owned. Therefore, an alternative is needed to predict TQI values so that the safety aspect is guaranteed. To predict the TQI value on the width of the rail 1067 mm, a statistical regression analysis method was used. The variables used are TQI Parameters (Y) value, traffic frequency (X1) and traffic load (X2). Based on analysis, the form of the equations to predict the value of TQI parameters are YPert = 1,00.10-5 X1 + 1,47.10-7 X2 + 3,58; YAng = 2.08.10-5 X1 + 1.62.10-7 X2 + 3.77; YListr = 1,07.10-5 X1 + 1,60.10-7 X2 + 1,75; YLbspr = 1.76.10-5 X1 + 1.36.10-7 X2 + 0.32. The magnitude of the frequency and traffic load values in the TQI value categories are 10,230 train/yr and 11,524,169 tons/yr in categories 1, 17,050 train/yr and 19,206,948 tons/yr in category 2, 27,280 train /yr and 30,731,117 tons/yr in category 3 as well as more than 27,280 train/yr and 30,731,117 tons/yr in category 4.Keywords: track quality index; safety; regresion; equations.ABSTRAKTrack Quality Index (TQI) adalah output dari kereta ukur. Semakin tinggi nilai TQI, tingkat kerusakan jalan rel semakin parah. Pemerintah memiliki keterbatasan untuk mendapatkan nilai TQI karena terbatasnya jumlah kereta ukur yang dimiliki. Oleh karena itu, diperlukan alternatif untuk memprediksi nilai TQI sehingga aspek keselamatan terjamin. Untuk memprediksi nilai TQI pada lebar rel 1067 mm, digunakan metode analisis regresi. Variabel yang digunakan adalah nilai Parameter TQI (Y), frekuensi lalu lintas (X1) dan beban lalu lintas (X2). Berdasarkan hasil analisis, bentuk persamaan untuk memprediksi nilai parameter TQI adalah YPert = 1,00.10-5 X1 + 1,47.10-7 X2 + 3,58; YAngkt = 2.08.10-5 X1 + 1.62.10-7 X2 + 3.77; YListr = 1,07.10-5 X1 + 1,60.10-7 X2 + 1,75; YLbspr = 1.76.10-5 X1 + 1.36.10-7 X2 + 0.32. Besarnya frekuensi dan nilai beban lalu lintas dalam kategori nilai TQI adalah 10.230 kereta/tahun dan 11.524.169 ton/tahun pada kategori 1, 17.050 kereta/tahun dan 19.206.948 ton/tahun pada kategori 2, 27.280 kereta/tahun dan 30.731.117 ton/tahun pada kategori 3 serta lebih dari 27.280 kereta/tahun dan 30.731.117 ton/tahun pada kategori 4.Kata Kunci: track quality index; keselamatan; regresi; persamaan

Surabaya has the plan to reactivate tram in several arterial streets which will cause car lane reduction. This research aims to enhance the traffic performance of several arterial streets in Surabaya after the reduction of street width due to street space reallocation for the future tram track. The modal split analysis in a natural car and train or pulled scheme is compared to several vehicle restriction methods or push scheme which using data from car and motorcycle rider. From comprehensive computation, it is concluded that the insertion of tram track in the road space directly without any transport demand management will impact street performance to a more severe condition of traffic jam intersection. Therefore this research advising city government to apply restriction scheme to car and motorcycle by using high occupancy vehicle only scheme or prepaid area licensing scheme.

Indonesia has one of the highest numbers of accidents within ASEAN country. Accident reduction program has been established namely National Public Safety Plan (RUNK) established by the government has not show a significant impact. Weak public transport in Indonesia caused the population to attempt to solve it by using personal vehicle. During the last decade, the motorcycle is the star of transport mode choice in almost all Indonesian regions, however, as the number of motorcycle on the highway increase, making the probability of motorcyclist accidents increased as well. Based on the above conditions, the study has evaluated students' preferences on reducing accident severity as a result of an accident. Furthermore, the research will be conducted in Makassar and Surabaya. Using Binary Logit Analysis it can be inferred that the probability of respondents who are willing to reduce the serious severity in Surabaya is 78.63% whilst in Makasar 94,73%. Considering on reducing slight injury respondent in Surabayawho are willing to reducing the injury is 66,66%, while at Makasar is 93,37%.

Under the terms of the capacity, the railway mode is more efficient in terms of moving passengers and goods as to accommodate more passengers and goods than bus modes. Moreover, when there are obstacles in the road such as road maintenance progress, and hole on the road, flooding, existence of demonstration and others, bus modes will not be able to serve passenger well. However in terms of mobility and flesibility the bus is more flexible than the train because it hasn't limited by the schedule The government started to build new tracks to reduce the delay in the arrival of trains and increase the frequency of train departures. The new tracks are expected to make better services for passengers and goods. Under these conditions, they need to do research on the possibility displacement modes of transportation on passengers. Stated Preference technique used to obtain data on the willingness of passengers to switch modes by distributing questionnaires to Surabaya-Mojokerto line passengers. Those questionnaire are distributed in three terminals which are Joyoboyo Terminal (Surabaya), Purabaya Terminal, Bungurasih (Sidoarjo), and Kertajaya Terminal (Mojokerto). The obtained data were analyzed using Binary Logistic Regression. The result shown that respondent who spent 45 minute willing to move from bus to train is 27,13% whilst 60 minute is 48,10%. Considering the money spending of the respondent each time travel using bus in which stated as Rp. 15.000 it's only 12,02% who are willing to move from bus to train.