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Analisis Sensitivitas Pemilihan Moda antara BRT dan Kendaraan Pribadi (Studi Kasus Kawasan CBD Kota Pontianak) / Mode Selection Sensitivity Analysis between BRT and Private Vehicle (Case Study of Pontianak City CBD Area)

Mode Selection Sensitivity Analysis between BRT and Private Vehicle (Case Study of Pontianak City CBD Area)

*Rudi Sugiono Suyono  -  , Indonesia
Nurhayati Nurhayati  -  , Indonesia
Wisa Yustrinisa  -  Universitas Tanjungpura, Indonesia

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Abstract
This type of public transportation BRT mode began to be officially applied in Pontianak City to overcome traffic congestion. The problem is that many travelers prefer to use private vehicles rather than public transportation. This study aims to analyze the sensitivity of the mode selection model which explains the probability of choosing a BRT against aprivate vehicles if a BRT is presented in the Central Business District of Pontianak City. The mode selection method uses the Stated Preferences Technique in the form of a quetionnaire which is analyzed by multiple linear regression to obtain a utility equation. Based on the results of the sensitivity analysis of the mode selection model, the probability value of selecting BRT is 21,7%, if it is in conditions where the difference in the attributes offacilities and comfort (X1) is -10, this means that there are no facilities and conveniences of BRTsuch as private vehicles, thesecond is the difference in  thewaiting time attribute (X2) which is 15 minutes, the third condition is the difference in travel costs attribute (X3) namely Rp 0,- and the fourth condition is the difference in travel time attribute (X4), which is 10 minutes To increase the probability of choosing a BRT to 60%, it can be done by increasing the difference between the facilities and comfort attributes to 0 (zero), which means there is no difference in facilities and comfort that BRT has with private vehicles such as the availability of air conditioning, free WIFI, clean, fragrant, having a bag storage area  and others. This is because the most sensitive attributes compared to other attributes are facilities and comfort attributes.
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Keywords: Mode selection, BRT, sensitivity

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Last update: 2024-07-13 22:04:17

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