Abstract
Urban population growth means that 66% of the population is expected to live in cities by 2050. A green, efficient rail service that minimizes delays, increases capacity and reduces overcrowding on trains and platforms will be an essential contributor to nations’ post-Covid, green recovery. Digitally Enhanced Advanced Services (DEAS) are one way to help improve performance, maximize productive capacity and open additional revenue streams. Therefore, investigations are needed into how digital technologies can enhance business model design, thus impacting how business capabilities, engineering functions and human factors can be combined to improve performance and user experience within rail transport systems. This paper explores how deploying green and energy efficient rail travel as a DEAS could be an ideal solution to bridge the gap between efficiency and capacity. We also consider how service-based contracts may enable user experience to be put at the forefront of post-Covid rail services.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Williams Rail Review: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/802472/rail-in-the-future-transport-system.pdf
Lost customer hours are lost due to disruptions of >2 minutes on the London Underground. Data. https://data.london.gov.uk/dataset/london-underground-performance-reports
Coxon, S., Chandler, T., Wilson, E.: Testing the efficacy of platform and train passenger boarding, alighting and dispersal through innovative 3D agent-based modelling techniques. Urban Rail Transit 1, 87–94 (2015)
Ng, I., Maull, R., Yip, N.: Outcome-based contracts as a driver for systems thinking and service-dominant logic in service science: evidence from the defence industry. Euro. Manag. J. 27, 377–387 (2009)
Green, M., Davies, P., Ng, I.: Two strands of servitization: a thematic analysis of traditional and customer co-created servitization and future research directions. Int. J. Prod. Econ. 192, 40–53 (2017)
Aston Business School, Servitization Case Studies: https://www.advancedservicesgroup.co.uk/alstom-case-study-download
Birrell, S., Taylor, J., McGordon, A., Son, J., Jennings, P.: Analysis of three independent real-world driving studies: a data driven and expert analysis approach to determining parameters affecting fuel economy. Transp. Res. Part D 33, 74–86 (2014)
Ying, L., Hui, X., Xiaoliang, W., Youyou, W., Chuanqi, Z.: The research of automatic speed control algorithm based on Green CBTC. In: IOP Conference Series: Earth and Environmental Science, vil. 69 (2017)
TfL: http://content.tfl.gov.uk/pic-20171013-agenda-item07.pdf
Herriotts, P.: Industry and Parliament Trust, Keeping Public Transport Moving Post-COVID: https://www.ipt.org.uk/newsroom/details/Event-Blog-Keeping-Public-Transport-Moving-Post-COVID
Oliveira, L., Fox, C., Birrell, S., Cain, R.: Analysing passengers’ behaviours when boarding trains to improve rail infrastructure and technology. Robot. Comput. Integr. Manuf. 57, 282–291 (2019)
Acknowledgments
The DEARRS project team are grateful for the support of the Engineering and Physical Science Research Council through the Digitally Enhanced Advanced Services NetworkPlus funded by grant ref EP/R044937/1. https://www.deas.ac.uk.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Birrell, S., Davies, P. (2021). Mind the Gap! Can Achieving Green and Efficient Rail Travel, with a Focus on Passenger Experience, Be Effectively Delivered Through Service-Based Contracts?. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2021. Lecture Notes in Networks and Systems, vol 270. Springer, Cham. https://doi.org/10.1007/978-3-030-80012-3_49
Download citation
DOI: https://doi.org/10.1007/978-3-030-80012-3_49
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-80011-6
Online ISBN: 978-3-030-80012-3
eBook Packages: EngineeringEngineering (R0)