CHOICE PROBABILITY OF TRAIN AS GROUND ACCESS MODE IN JUANDA INTERNATIONAL AIRPORT, SIDOARJO, INDONESIA
Wiryanta (1), Ria Asih Aryani Soemitro(2), Ervina Ahyudanari(2)
1 Doctoral Student of Department of Civil Engineering, Institut Teknologi Sepuluh Nopember, Surabaya; Civil Engineering Department, Faculty of Vocational School, UGM, Yogyakarta, Indonesia
2 Department of Civil Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
Abstract
Access travel to and from Juanda International Airport (JIA) currently faces a severe problem, due to relatively high travel time. The use of private vehicles as an access mode to the airport causes longer travel time. The government plans to introduce the train as an alternative access mode to JIA. This research aims to get the choice probability of train as an alternative access mode. Though this topic may not a new issue in airport access mode, however, the characteristics of the traveler and the distribution of the origin passengers become an interesting condition to be discussed. To measure the response to this mode acceptance, this research adopts mode choice probability using Multinomial Logit Model. Data of 900 respondents indicate the characteristics of travelers through JIA. Results of the analysis show that generally there is a low probability of train mode choice. The causes of the low probability are concluded in six factors. Those factors are mode convenience, mode operational management, social characteristic, mode accessibility, transport system characteristic, number of baggage and party size factor. The total effect of the six factors is 61,23%. Based on the probability model of access mode choice, those factors affect the selecting of train, except the accessibility factor. It fails to enter the probability model formulation because it does not pass the partial test. Even though it is the most common influenced factor in public transport research. The six factors resulted from this research could become a reference to improve the train use probability.
Keywords: airport access mode, mode choice probability, multinomial logit model
Topic: International Symposium of Civil, Environmental, and Infrastructure Engineering