Good Practice

Peak Hour Management in Line A of the Metro in Rennes

Rennes Metropole has managed to smooth out morning congestion on its metro line A, and improve the metro service and the students quality of life (2009-2013).

Ville et Métropole de Rennes
France
Metropolitan policy

POLICY OBJECTIVE

  • Based on time and mobility diagnostics, characterise the structure(s) that have the greatest impact and generate the most traffic in the “hyperpeaks” (or rush hour) observed on line B.
  • Characterise peak schedules and identify collective targets.
  • Take measures to change behaviour in the medium term.
  • Improve accessibility, quality of life for metro users, and the attractiveness of Rennes.
  • Contribute to the efficiency of public transport, which also meets an environmental challenge by reducing the proportion of car use.

CONTEXT

  • 2009 in line A: the metro platform was packed during the “rush hour pick” phenomenon, which happens in Rennes between 7:40 and 8:00 a.m.
  • Technical solutions were tested: the frequency of service was increased, new trains were purchased, trains were reconfigured to increase the number of carried passengers…
  • These initial solutions increased transport capacity by 30%, but proved insufficient in the face of the constant increase in metro ridership.

POLICY DESCRIPTION

For a period of 4 years (2009-2013): 3 stakeholders —the Time Office, in conjunction with the Mobility and Transport Department of Rennes City & Metropolis, as well as Keolis, the metro operator— worked together to develop a partnership methodology on the following basis:

  • The time office first carried out a time diagnosis to identify the “time generators”, stakeholders whose schedules generate large flows of traffic at specific times. The Office used ticketing data, counts, field observations…
  • A consultation process on the Villejean-Université metro station was initiated with those time generators affected by the hyperpeak: the University of Rennes, major secondary schools, and the nearby hospital centre. The metro station provided services for all of them.
  • The aim was to show the stakeholders their participation in a “schedule system” and the impact of their individual schedule decisions on the rhythm and accessibility of the whole area. University catering service, student mutual societies and student representatives were involved in the consultation process.
  • In 2012, a pilot test was launched with partial staggered classes and a two-wave start to the new academic year: 6.000 students in the 3rd year of Bachelor’s and in Master’s Degree started at 8:15 a.m., while 8.000 students in the 1st and 2nd year of Bachelor’s Degree started at 8:30 a.m.
  • Singing of a Charter: all partners undertook the compromise to inform each other Of any changes to their schedules that may affect the whole area.
  • It’s working! Right from the start of the experiment, the hyperpeak was smoothed out, and both the metro service and the students’ quality of improved.

KEY ASPECTS

  • The strength of this approach lies in the fact that collective interests are taken into account in a decision that is usually based on individual choices.
  • It was based on the consultation with all stakeholders (University, lycées, Region Bretagne, Education Nationale, student bodies…).
  • It relied on experimentation as a way of trying, adjusting and correcting the policy.

RESULTS

The figures for this project are:

  • A 17% reduction in the average train load between the most congested stations.
  • 5% reduction in metro flows at morning peak
    times.
  • 30 million € saved, and staggered investment in infrastructure (Kennedy station from 2025 on).

Hélène

Réveillard

Time Chief Officer

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