2017Unpublished venueRequires access

Analysis of ability to pay and willingness to pay for Jakarta light rail transit in Jakarta, Indonesia

Dwi Novi Wulansari, Adi Chandra Maulana, Milla Dwi Astari

Open publisher page 6 citations

Abstract

This study aims to determine the tariff of Jakarta LRT based on the analysis of ability to pay and willingness to pay for taxi users. The ability to pay value analysis approach uses travel cost method and determination of willingness to pay value using discrete choice analysis. From the analysis results can be seen that the value of the ability to pay is Rp. 63.316 and the willingness to pay value is Rp. 11.500. This indicates that the willingness to pay taxi users is less than the ability to pay.

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What this paper is about

This study aims to determine the tariff of Jakarta LRT based on the analysis of ability to pay and willingness to pay for taxi users. The ability to pay value analysis approach uses travel cost method and determination of willingness to pay value using discrete choice analysis. From the analysis results can be seen that the value of the ability to pay is Rp. 63.316 and the willingness to pay value is Rp. 11.500. This indicates that the willingness to pay taxi users is less than the ability to pay.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This study aims to determine the tariff of Jakarta LRT based on the analysis of ability to pay and willingness to pay for taxi users. The ability to pay value analysis approach uses travel cost method and determination of willingness to pay value using discrete choice analysis. From the analysis results can be seen that the value of the ability to pay is Rp. 63.316 and the willingness to pay value is Rp. 11.500. This indicates that the willingness to pay taxi users is less than the ability to pay.

Key concepts: Willingness to pay, Transit (satellite), Business, Transport engineering, Light rail transit, Telecommunications, Public transport, Computer science

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