Air-rail timetable synchronisation for seamless multimodal passenger travel: a case study for Valencia-Lanzarote door-to-door journeys
Transportation Research Procedia, ISSN: 2352-1465, Vol: 71, Page: 85-92
2023
- 1Citations
- 5Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
In a context of limited multimodal integration, private car and connecting short-haul flights account for a wide proportion of the access and egress legs to/from hub airports. This increases the carbon footprint of air transport and limits the airport's capacity available for much demanded long-haul flights. High-speed rail services are seen as an opportunity to improve long-distance airport accessibility. However, it remains unclear if ‘hard’ infrastructure measures are enough or even worthwhile if not accompanied by ‘soft’ measures such as integrated ticketing and coordinated scheduling. This work evaluates the benefits of air-rail timetable synchronisation. To evaluate how this solution can improve door-to-door journeys, an agent-based model called J-TAP has been developed and put at work to implement a long-distance multimodal travel model. The timetable synchronisation solution has been applied to a case study focused on a Spanish continent-island domestic connection: Valencia-Lanzarote. Three scenarios have been considered: current conditions, high-speed direct connection to the airport, and high-speed direct connection with synchronised timetables. The results show a substantial reduction of the travel time and significant improvement of passenger experience when timetables are synchronised, boosting rail modal share from 35% to up to 50% in the Valencia-Madrid leg and reducing emissions by 21%. This unveils the potential of intermodal solutions for improving transport efficiency and environmental sustainability.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2352146523003423; http://dx.doi.org/10.1016/j.trpro.2023.11.061; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85182377464&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S2352146523003423; https://dx.doi.org/10.1016/j.trpro.2023.11.061
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know