Mode choice analysis of passenger transport at train station using stated preference method

• Main Authors: Hidayati, Nurul, Mufidah, Nadiah, Sunarjono, Sri, Nugroho, Munajat Tri, Ghalib, Helmi Dhia Al
• Format: Conference Proceeding
• Language: English
• Subjects: Costs; Headways; Logit models; Modal choice; Modelling; Operating costs; Passengers; Preference analysis; Preferences; Public transportation; Railway stations; Stated preference techniques; Statistical analysis
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0179644

Tourists at Solo Balapan Station have several options for continuing their journey, including private, semi-private, and public vehicles. Despite the fact that Batik Solo Trans (BST) Corridor II is one of the modes of public transportation available at this location, it is still infrequently used. The goal of this research is to identify the factors that influence mode selection and to develop a model. This study employs statistical analysis to investigate passengers’ socioeconomic and travel characteristics, as well as methods for expressing preferences regarding ticket attributes, headway, and service level. Questionnaires were distributed at nearby stations and bus stops to collect data from 240 respondents. The binomial logit model was used to analyze the mode selection model. According to the stated preference method, respondents believe that the IDR 3500 fare, 10 minutes of headway, and Wi-Fi will persuade passengers to choose BST. Private-Online, Private-BST, and Online-BST are other binary logit models. If the costs of private vehicles and online transportation are the same, 52% of respondents will choose private vehicles, according to the results of the binary-difference logit modeling. Similarly, if the costs of BST and private vehicles are comparable, 70% of respondents will choose private vehicles. If the BST and online transportation costs are the same, however, 38 percent will choose online transportation. The logit-ratio modeling results also show the previously mentioned conditions. If the cost ratio is one, the three alternatives listed above are obtained in the following order: 52% prefer private vehicles in Alternative 1, 63% prefer BST in Alternative 2, and the same percentage prefer online transportation in Alternative 3. The results of preference analysis show that if the value of the BST attribute is changed, the percentage of passengers who choose BST increases.