Issue |
MATEC Web Conf.
Volume 259, 2019
2018 6th International Conference on Traffic and Logistic Engineering (ICTLE 2018)
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Article Number | 05002 | |
Number of page(s) | 6 | |
Section | Intelligent Transportation Development and Economy | |
DOI | https://doi.org/10.1051/matecconf/201925905002 | |
Published online | 25 January 2019 |
Public preference towards the integration of krl and transjakarta tariff
Civil Engineering Department, Universitas Indonesia, Depok, Indonesia
Transportation costs in Jakarta reach 30% of the total income of the community every month while the standard that has been set by World Bank is only 10%. This paper discusses the result of willingness-to-pay study conducted at Sudirman railway station in the downtown of Jakarta with the purpose of reducing transportation cost by implementing the tariff integration system of KRL and Transjakarta. The data was collected by the methods of stated preference survey with commuters as the respondent.The survey was conducted by asking the respondents some questions including respondents’ socio-economic characteristic, travel distance, and travel choice exercise. The existing modes that will be compared are motorcycle and bus (kopaja). Motorcycle is the mode whom commuters mostly use with 62% while kopaja is only 38%. The data was analyzed by using discrete choice model and utility function. Based on the analysis, parameters that influence commuters to shift from existing modes to transjakarta are saving time, saving fare, transportation expenditure, and education level. Moreover, the study found that the cheaper the integration tariff offered, the greater the probability of choosing transjakarta services and the faster the travel time of Transjakarta, the greater the probability of choosing transjakarta. Furthermore, each comparison mode has different tariff preferences on the tariff integration system of Transjakarta and KRL.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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