Travel mode switching prediction using decision tree in Jakarta greater area

Dian Mardi Safitri, Isti Surjandari Prajitno

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Predicting people's mode of transportation is quite a complex yet challenging study. It involves vast amounts of factors, of which those are reflecting the way people behave and choose their everyday travel mode. In big cities, people are encouraged to take public transportation provided by the government to unravel the congestion. Nevertheless in Jakarta, the intention to use public transportation remains low. The cause is that the public transportation still provides low service standards, far below the expectation and needs. This preliminary study was intended to enhance the public transport improvement planning. With regard to this intention, demographic data of Transjakarta passenger and non-passenger were collected through a survey. Decision trees were utilized to predict travel mode switching. The result of this study is that 60.8% of Transjakarta passengers and 57.1% of private vehicle users tend to consider switching their current transport mode. Transjakarta must be continuously improved, especially on the public's complaints about safety, heading way, people's comfort in the queue line, quality of the road in busway corridor, and non-sterile bus lane. The alternative of the new transportation mode will definitely change the travel mode choice behavior of Jakarta Greater Area people. This will be a challenge in future travel mode switching prediction research.

Original languageEnglish
Title of host publication2017 International Conference on Information Technology Systems and Innovation, ICITSI 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages246-250
Number of pages5
ISBN (Electronic)9781538631003
DOIs
Publication statusPublished - 23 Jan 2018
Event4th International Conference on Information Technology Systems and Innovation, ICITSI 2017 - Bandung, Indonesia
Duration: 23 Oct 201724 Oct 2017

Publication series

Name2017 International Conference on Information Technology Systems and Innovation, ICITSI 2017 - Proceedings
Volume2018-January

Conference

Conference4th International Conference on Information Technology Systems and Innovation, ICITSI 2017
Country/TerritoryIndonesia
CityBandung
Period23/10/1724/10/17

Keywords

  • decision tree
  • public transport
  • travel behavior
  • travel mode switching

Fingerprint

Dive into the research topics of 'Travel mode switching prediction using decision tree in Jakarta greater area'. Together they form a unique fingerprint.

Cite this