RESPONSE TO CHANGE OF PUBLIC TRANSPORT TARIFF FOR MODE CHOICE OF PARKING USERS COMMERCIAL AREA CIMAHI CITY

• Main Author: Rachman Widjaja Kusmirat, Irfan
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/47867
• Institution: Institut Teknologi Bandung

One of the factors causing traffic congestion in Cimahi City is the high use of private vehicles. Based on data from Samsat in 2018, the number of vehicles in Cimahi City was 312,033 units, around 80 percent were motorcycles. Along with the high use of private vehicles, currently parking spaces in Cimahi City are limited so motorized parking can contribute to side barriers. Based on Cimahi City Regulation No. 2 of 2018 on the 2017-2022 Cimahi City RPJMD, currently the average LoS value in Cimahi City is D, this value represents the value of most arterial roads caused by disorderly parking on-street. In addition, the lack of public transport infrastructure means that the use of private vehicles is an absolute choice, which currently has three routes currently operating, and most of them pass through the trading area in Cimahi City. To resolve the problem, it is necessary to analyze the mode selection by responding to public transport tariffs through a stated preference questionnaire tool, so that effective response choices can be generated and also a parking management strategy to improve the use of public transport in the commercial area, to reduce the use of parking at and maximizing the function of public transportation. The approach used is a quantitative approach through spatial analysis, descriptive statistical analysis, and binary logit regression analysis. Based on the results of the calculation of several models, the response chosen was the response of switching using public transportation, having a Nagelkerke R Square value of 41.1%, with seven variables having a significant partial effect. With the model equation that is ln?(?/(1 ? ?)) = 0,595 ? 0,001 ? (????2) ? 0,654 ? (????4) ? 0,518 ? (????5) + 0,705 ? (????7) + 0,631 ? (????9) + 1,161 ? (????11) + 0,814 ? (????13). Where in this model equation it is known that the variable X11 (parking availability) has the greatest sensitivity among other variables, namely 1,161 with positive coefficients, and the X13 variable (safety) has the second largest sensitivity with a value of 0.814 with a positive coefficient. The probability value of public transport users with the tariff available on the stated preference response option is Rp. 2000 will generate 55.65% of the opportunities to change modes of public transportation. Based on the results of the model, it is known that parking availability variables have the largest coefficient so it can be arranged parking management strategies and handling public transport through general strategies and direct strategies.