In the first phase of the research, our objective was mainly to scope and explore the feasibility of utilising, processing and analysing the passenger datasets. As a baseline research, we started with the data available for 2019 that included passengersвЂ™ anonymised demographic information, transaction and origin-destination details. Since passengers are required to provide identification details for reservations, the company holds vast amounts of data that can be anonymised and disaggregated, resulting in actionable insights. aggregating ridership along a route) to a more passenger-centric approach (e.g disaggregating data to address the needs of females travelling alone at night).Д«etween January to September 2019, PT KAI transported more than 400 million passengers over 29 million kilometers, transiting through more than 400 railway stations across Java and Sumatra.

This requires a shift in how we assess travel patterns and passenger behaviour, from a conventional approach (e.g. However, transport agencies nowadays are experiencing increasing and more varied ridership, leading to a change in demands and expectations. Here we reflect on some of the policy and development opportunities emerging from findings.ДЄn understanding of each passenger type, behaviour and needs can improve operations and service delivery. In collaboration with Pulse Lab Jakarta and the Ministry of National Development Planning (Bappenas), PT KAI recently undertook data analytics research with this vision in mind. This fulfills PT KAIвЂ™s social imperative as a state-owned enterprise to provide quality services, but importantly is also proving to be good business. Realizing its important role, PT KAI has been at the forefront in trying to better understand passenger travel behaviour to improve services, especially amongst vulnerable cohorts such as the elderly, women and people with disabilities.

In Indonesia, PT Kereta Api Indonesia (KAI), the national train company, has been serving the Indonesian public since 1945, and has played a crucial role in both improving social welfare as well as growing the economy in regions it operates (Java and Sumatra). To increase the custumer numbers, PT.Digitalisation and big data technologies (such as online ticketing and smart cards) have enabled the tracing of human mobility on a large scale. Based on the result, the main reason of purchasing railway ticket in Sumatera Selatan are a word of mouth and formal promotions. The result shows that online system did not influence the purchashing decicion of railwal ticket, hence promotion did influence the purchasing decicion. The analysis used is multiple linier regression. Samples are 100 passengers chosen by accidental sampling technique. This study uses asosiatif research method with questionnaire. This studi aims to determine the effect of online services and promotions to purchasing decicion of economic railway transportation in Sumatera Selatan. This innovation with online system must be supported by good promotion to increase the purchasing decicion of railway transportation. PT KAI use internet technology to provide online ticketing system. KAI is one of transportation company which provide railway transport services in order to facilitate the displacement people and goods. Kereta Api Indonesia (Persero) or later called PT.

Pt kai ticketing online