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Journal : IPTEK The Journal for Technology and Science

Mamminasata BRT User Trip Characteristics for the Design of Demand Modelling Method for a New BRT Line Suprayitno, Hitapriya; Ananda Upa, Verdy
IPTEK The Journal for Technology and Science Vol 27, No 3 (2016)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (712.069 KB) | DOI: 10.12962/j20882033.v27i3.1328

Abstract

Indonesia started to developed largely the MRT line, especially the BRT. A new BRT Corridor implementation need a Passenger Demand Prediction. Thus, a Special BRT Passenger Demand Modelling Method for a New BRT Line need to be developed. This attempt needs a sufficient knowledges on the Existing BRT User Trip Characteristics. Mamminasata BRT User Trip Characteristics Survey were executed on Corridor 2 and Corridor 3, during morning peak hour. The result indicates that the BRTs are used mainly for schooling and working trips, the BRT passengers are the previous public transport and motorcycle users. The trip origin zone is extended 3 km to the left and to the right of the BRT corridor, while the trip destination zone is extended 1.5 km to the left and to the right of the BRT corridor. The embarking connecting trip modes are dominated by motorcycle, public transport and becak, while the alighting connecting trip modes are dominated by walking tri
Sample Based Trip Length Distribution Quality based on χ^2 and Mean Absolute Error Value Hitapriya Suprayitno; Vita Ratnasari; Nina Saraswati; Citto Pacama Fajrinia
IPTEK The Journal for Technology and Science Vol 29, No 1 (2018)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (237.175 KB) | DOI: 10.12962/j20882033.v29i1.2207

Abstract

As a vital part of transport modelling, the trip length distribution is normally gotten from a sample. In order to get a good model, a method to test the quality of the sample based trip length distribution must be avaliable. A method to measure this quality has ever been developed, but it was found that the existing method still can be improved. While still using goodness of fit statistical test, the new method propose two quality measurements. First, to verify whether the observed trip length distribution is conforrm to the reference trip length distribution at a certain confidence level value, indicated by a value of . Second, to verify whether the error, mean absolute error measured in  percentage, |e%| = 100 × |e|mean / xi,mean is acceptable. The new method can be used, while still fulfilling the basic principle of sample quality measure, i.e. satisfying maximum acceptable error at a certain confidence level.