The Impact of Accessibility Facilities on High Speed Railway (HSR) Demand

The first HSR in the Southeast Asia region connects Jakarta – Bandung (± 140 Km). It saves around 40min travel time between those cities, serving Halim-Karawang-Padalarang-Tegaluar. Meanwhile, Karawang station will be located in a developing area for the industrial and residential areas between Delt...

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Published inJournal of the Eastern Asia Society for Transportation Studies Vol. 15; pp. 919 - 930
Main Authors GANI, Adil Afrizal, SWANTIKA, Bhidara, TJAHJONO, Tri, KUSUMA, Andyka, ADWITIYA, R Ivan
Format Journal Article
LanguageEnglish
Published Eastern Asia Society for Transportation Studies 2024
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Abstract The first HSR in the Southeast Asia region connects Jakarta – Bandung (± 140 Km). It saves around 40min travel time between those cities, serving Halim-Karawang-Padalarang-Tegaluar. Meanwhile, Karawang station will be located in a developing area for the industrial and residential areas between Deltamas and THK. Accessibility is a need to connect the area and station. The study observes the effect of proposed accessibility on the potential demand improvement. The mode choice model is based on a previous study in 2019. Applying the discrete choice model shows that the potential demand in 2024 (1st operation) is 32.620 pax/day. There is a plan for adding a 1.6km road (towards THK) and around 100m bridges (towards Deltamas). The paper finds an increased demand for Karawang station ±15%. The result indicates that accessibility has a significant role in ensuring sustainability demand.
AbstractList The first HSR in the Southeast Asia region connects Jakarta – Bandung (± 140 Km). It saves around 40min travel time between those cities, serving Halim-Karawang-Padalarang-Tegaluar. Meanwhile, Karawang station will be located in a developing area for the industrial and residential areas between Deltamas and THK. Accessibility is a need to connect the area and station. The study observes the effect of proposed accessibility on the potential demand improvement. The mode choice model is based on a previous study in 2019. Applying the discrete choice model shows that the potential demand in 2024 (1st operation) is 32.620 pax/day. There is a plan for adding a 1.6km road (towards THK) and around 100m bridges (towards Deltamas). The paper finds an increased demand for Karawang station ±15%. The result indicates that accessibility has a significant role in ensuring sustainability demand.
Author ADWITIYA, R Ivan
KUSUMA, Andyka
GANI, Adil Afrizal
SWANTIKA, Bhidara
TJAHJONO, Tri
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  fullname: GANI, Adil Afrizal
  organization: Department Civil Engineering, Faculty of Engineering, Universitas Indonesia
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  fullname: SWANTIKA, Bhidara
  organization: Department Civil Engineering, Faculty of Engineering, Universitas Indonesia
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  fullname: TJAHJONO, Tri
  organization: Department Civil Engineering, Faculty of Engineering, Universitas Indonesia
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  fullname: KUSUMA, Andyka
  organization: Department Civil Engineering, Faculty of Engineering, Universitas Indonesia
– sequence: 1
  fullname: ADWITIYA, R Ivan
  organization: Department Civil Engineering, Faculty of Engineering, Universitas Indonesia
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References Ortúzar, J. de D. and Willumsen, L.G. (2007) Modelling Transport. 3rd edn. John Wiley & Sons, Ltd.
Greene, David. and Lewis, Kenneth. (2020) Guide to Traffic Management : Part 5: Link Management. Austroads.
Polar UI. (2019) ‘Study of Potential Demand from Passenger in Jakarta Bandung High Speed Railways’
TfL (2015) Station Public Realm Design Guidance. London: Transport for London.
Chen, J., Yang, H., & Liu, D. (2020). Modeling High-Speed Railway Station Accessibility and Travel Mode Choice: A Case Study in the Station Catchment Area. Transportation Research Part A: Policy and Practice, 138, 20-34.
Victoria State Government (2019) Movement and Place in Victoria. Melbourne: VicRoads.
Li, S., & Shoup, D. (2019). The Relationship between Highway Accessibility and Transit Ridership. Transportation Research Part A: Policy and Practice, 119, 362-377.
Boarnet, M.G. et al. (2017) ‘First/last mile transit access as an equity planning issue’, Transportation Research Part A: Policy and Practice, 103, pp. 296–310.
Ben-Akiva, M. and Lerman, S.R. (1985) Discrete Choice Analysis: Theory and Application to Travel Demand. Cambridge, Massachusetts, USA.: MIT Press.
Hine, J. and Scott, J. (2000) ‘Seamless, accessible travel: Users’ views of the public transport journey and interchange’, Transport Policy, 7(3), pp. 217–226.
Cao, X., Chen, X., & Hu, J. (2018). Exploring the Relationship between Trip Generation and Movement Characteristics in Urban Areas. Journal of Transport Geography, 73, 161-170.
Train, K. (2009) Discrete Choice Methods with Simulation. 2nd edn. Cambridge University Press.
Fröidh, O. (2008) ‘Perspectives for a future high-speed train in the Swedish domestic travel market’, Journal of Transport Geography, 16(4), pp. 268–277.
David Levinson (2016) ‘What Do We Know About the “First Mile/Last Mile” Problem for Transit? – David Levinson, Transportist’.
Yang, L., Wei, Y., & Wang, D. (2020). The Impact of Road Infrastructure on the Accessibility of High-Speed Rail Stations. Journal of Transport Geography, 83, 102655.
Aloulou, F. (2018) ‘The Application of Discrete Choice Models in Transport’, in Statistics - Growing Data Sets and Growing Demand for Statistics.
References_xml – reference: Chen, J., Yang, H., & Liu, D. (2020). Modeling High-Speed Railway Station Accessibility and Travel Mode Choice: A Case Study in the Station Catchment Area. Transportation Research Part A: Policy and Practice, 138, 20-34.
– reference: Ben-Akiva, M. and Lerman, S.R. (1985) Discrete Choice Analysis: Theory and Application to Travel Demand. Cambridge, Massachusetts, USA.: MIT Press.
– reference: Li, S., & Shoup, D. (2019). The Relationship between Highway Accessibility and Transit Ridership. Transportation Research Part A: Policy and Practice, 119, 362-377.
– reference: Boarnet, M.G. et al. (2017) ‘First/last mile transit access as an equity planning issue’, Transportation Research Part A: Policy and Practice, 103, pp. 296–310.
– reference: Hine, J. and Scott, J. (2000) ‘Seamless, accessible travel: Users’ views of the public transport journey and interchange’, Transport Policy, 7(3), pp. 217–226.
– reference: Ortúzar, J. de D. and Willumsen, L.G. (2007) Modelling Transport. 3rd edn. John Wiley & Sons, Ltd.
– reference: TfL (2015) Station Public Realm Design Guidance. London: Transport for London.
– reference: Yang, L., Wei, Y., & Wang, D. (2020). The Impact of Road Infrastructure on the Accessibility of High-Speed Rail Stations. Journal of Transport Geography, 83, 102655.
– reference: Aloulou, F. (2018) ‘The Application of Discrete Choice Models in Transport’, in Statistics - Growing Data Sets and Growing Demand for Statistics.
– reference: Fröidh, O. (2008) ‘Perspectives for a future high-speed train in the Swedish domestic travel market’, Journal of Transport Geography, 16(4), pp. 268–277.
– reference: Cao, X., Chen, X., & Hu, J. (2018). Exploring the Relationship between Trip Generation and Movement Characteristics in Urban Areas. Journal of Transport Geography, 73, 161-170.
– reference: Polar UI. (2019) ‘Study of Potential Demand from Passenger in Jakarta Bandung High Speed Railways’
– reference: Victoria State Government (2019) Movement and Place in Victoria. Melbourne: VicRoads.
– reference: David Levinson (2016) ‘What Do We Know About the “First Mile/Last Mile” Problem for Transit? – David Levinson, Transportist’.
– reference: Greene, David. and Lewis, Kenneth. (2020) Guide to Traffic Management : Part 5: Link Management. Austroads.
– reference: Train, K. (2009) Discrete Choice Methods with Simulation. 2nd edn. Cambridge University Press.
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Snippet The first HSR in the Southeast Asia region connects Jakarta – Bandung (± 140 Km). It saves around 40min travel time between those cities, serving...
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SubjectTerms Accessibility
Demand
Discrete Choice Model
HSR
Title The Impact of Accessibility Facilities on High Speed Railway (HSR) Demand
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