Marie Skłodowska-Curie Actions

MSCA-COFUND-CLEAR-Doc - PhD Position #CD21-20 "resiliency Key Performance indicator for multimode transport HuBs"

This job offer has expired

    Université Gustave Eiffel
    Computer scienceInformatics
    Computer scienceModelling tools
    First Stage Researcher (R1)
    21/03/2022 17:00 - Europe/Brussels
    France › Lille
    H2020 / Marie Skłodowska-Curie Actions COFUND



The main objective of the work is the development of Key Performance Indicators (KPI) to evaluate risks and potential dangers associated with passenger flows in the context of transport service hubs. Transport service hubs face increasing logistic and reliability challenges, due to the rising demand, e.g. in the field of security and complexity of interconnections. The management of passenger flows is particularly challenging as their nature varies when the mode of transport changes.

In the context of the 2012 Olympic Games in London, deep studies concerning overcrowding management in railway stations have been conducted. From these studies, Watson and Little [2], using “Crowd management at stations, a Good practice guide” [1], concluded, that the overcrowding phenomenon leads to safety problems.

Thus, the proposed work starts with establishing a risk analysis to identify potential safety risks, dangers and hazards related to passenger flows. The work should identify possible causes for such problems and related indicators. In addition to safety risks, a consideration of economic parameters should be considered in KPI development, as economic impacts are commonly integrated into global performance indicators [3,4]. Both points should be integrated into a meaningful set of KPIs covering different feasible stakeholder perspectives on multimodal transport hubs. As such hubs show a characteristic system-of-systems structure, the following aspects should be taken into account:

- The global transport service to be provided by the HUB [5]

- The state of each connected transport infrastructure (considering risk, available performance and functionalities) [7]

The last step of the study may consider cascading effects ensuing from the physical and functional interdependencies of the connected transport infrastructures belonging to the same hub [6,8] by analysing their joint/combined influence on KPI development. An exemplary use-case should be developed to show the applicability of the derived KPI set to decision-making in given scenarios, considering a collaborative strategy of the various infrastructures that are part of the hub, especially when the crisis cannot be handled locally [9].


1. RSSB, Crowd management at station- a good practice guide, (T605 Good practice guide), Railway Safety & Standard Board, Oct 2004, https://www.rssb.co.uk/pb009693, pp. 14

2. Stephen Watson, Arthur D. Little, 2016, “Management of passengers at Stratford Station in London during a period of substantial growth in patronage”, International Railway Safety Council, Paris, https://www.rssb.co.uk/irsc/Documents/Paris/Presentations/T10%20Tuesday%..., pp. 13

3. Monzon, A, Di CIommo F (Ed) , 2016,“City-HUBS: Sustainable and efficient urban transport interchanges”, CRC press, Taylor and Francis, 280p.

4. Daniel Lichte, Kai-Dietrich Wolf , « Approach to a Bayesian Decision Model for Cost-Benefit Analysis in Security Risk Management »Trondheim norway 17-21st June 2018, ESREL congress 2018

5. Banerjee, K. K. Venkatasubramanian, T. Mukherjee, and S. K. S. Gupta, “Ensuring Safety, Security, and Sustainability of Mission-Critical Cyber-Physical Systems,“ Proceedings of the IEEE, Vol.100, No.1, January 2012.

6. Francesco Flammini, Stefano Marrone,Nicola Mazzocca,Valeria Vittorini « Petri Net Modelling of Physical Vulnerability Critical Information Infrastructure Security: 6th International Workshop , CRITIS 2011, Luzern Swizerland.

7. Lewis, T.G, Darken, R.P., Mackin, T., Dudenhoeffer, D.: Model-Based Risk Analysis for Critical Infrastructures. In: Critical Infrastructure Security (F. Flammini, ed.), WIT Press, 2011

8. Rinaldi, S.M.: Modeling and Simulating Critical Infrastructures and Their Interdependencies. In: Proc. 37th Hawaii International Conference on System Sciences, 2004: pp. 1-8

9.Héla Kadri, Simon Schleiner, Simon Collart-Dutilleul, Philippe Bon, Samir Ben Ahmed, Florian Steyer, Alexander Gabriel, Ompe Aymé Mudimu,"Proposition of a formal model for crisis management in the context of high-speed train networks in border areas” Transport Research Arena TRA 2018, Vienna, Austria, 2018

International Mobility

This thesis will be in co-supervision with DLR (Germany).

For more information, contact the PhD thesis supervisor.


More Information


  • High-quality doctoral training rewarded by a PhD degree, delivered by Université Gustave Eiffel
  • Access to cutting-edge infrastructures for research & innovation.
  • Appointment for a period of 36 months based on a salary of 2 700 € (gross salary per month).
  • Job contract under the French labour legislation in force, respecting health and safety, and social security: 35 hours per week contract, 25 days of annual leave per year.
  • International mobility will be mandatory
  • An international environment supported by the adherence to the European Charter & Code.
  • Access to dedicated CLEAR-Doc trainings with a strong interdisciplinary focus, together with a Career development Plan.

Eligibility criteria

  • At the time of the deadline, applicants must be in possession or finalizing their Master’s degree or equivalent/postgraduate degree. At the time of recruitment, applicants must be in possession of their Master’s degree or equivalent/postgraduate degree which would formally entitle to embark on a doctorate.
  • At the time of the deadline, applicants must be in the first four years (full-time equivalent research experience) of their research career (career breaks excluded) and not yet been awarded a doctoral degree. Career breaks refer to periods of time where the candidate was not active in research, regardless of his/her employment status (sick leave, maternity leave etc). Short stays such as holidays and/or compulsory national service are not taken into account.
  • At the time of the deadline, applicants must not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately prior to the call deadline.
  • Applicants must be available to start the programme on schedule (around 1st October 2022).

Selection process

Please refer to the Guide for Applicants available on the CLEAR-Doc website.

Additional comments

  • The First step before applying is contacting the PhD supervisor. You will not be able to apply without an acceptation letter from the PhD supervisor.
  • Please contact the PhD supervisor for any additional detail on job offer.
  • There are no restrictions concerning the age, gender or nationality of the candidates. Applicants with career breaks or variations in the chronological sequence of their career, with mobility experience or with interdisciplinary background or private sector experience are welcome to apply.

Web site for additional job details

Offer Requirements

    Computer science: Master Degree or equivalent
    ENGLISH: Good


  • At the time of the deadline, applicants must be in possession or finalizing their Master’s degree or equivalent/postgraduate degree.
  • At the time of recruitment, applicants must be in possession of their Master’s degree or equivalent/postgraduate degree which would formally entitle to embark on a doctorate.

Specific Requirements

This thesis will be in cosupervision with DLR (Germany).

For more information, contact the PhD thesis supervisor.

Basic notions in German are welcome but not mandatory

Work location(s)
1 position(s) available at
Université Gustave Eiffel
20, rue Élisée Reclus - BP 70317

EURAXESS offer ID: 716919


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