Findings from the first analysis “Modeling Travel Mode for Motorcycle and BRT-lite”
summarizes as follows:
a. The determinants factors of selecting motorcycle as representative daily mode in Banda Aceh consist of travel destination, travel time, vehicle operating costs, gender, education level, motorcycle ownership, and driver’s license ownership.
b. The probability of modal split among mode choice set obtained using binary logit are 70%, 30%, for Motorcycle and BRT-lite, respectively.
c. The derived model is considered very good based on discrepancy among observed and predicted value about 0.136 and 0.367 for Motorcycle and BRT-lite, respectively.
Finding from the second part analysis “Modeling Motivation Factors Affecting Daily Mode Choice” listed several conclusions:
a. As for mandatory activity modeling calibration results using CFA with the highest significant on the variable latent linkage private vehicle (LPV) indicator Likes to drive private vehicles (LPV2).
b. Further investigation depicts that as for non-mandatory activities obtained the highest significant on latent variable private vehicle problems (PVP) indicator congestion is increasing (PVP2).
c. The measurement model show that mandatory activities have the highest significant correlation with the attribute of liking to drive private vehicles (car/motorcycle), while non-mandatory activities have the most significant sign congestion increasing within the city due to highly autos dependency.
d. Further finding depict that as for mandatory activities appear that linkage with private vehicles significantly affects private vehicle problem (congestion and environment deterioration), while in non-mandatory activities the quality of service of current bus system has significantly affects satisfaction on using public transport.
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