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July 1, 20263 min read

Buses as Backbone: Franchising, Fleet Renewal, and the Case for Seamless Public Transport in Wales

Wales's new government is betting on bus franchising and fleet modernisation as the backbone of its transport strategy. A reflection on the optimisation challenges ahead.

The News

Welsh Deputy Transport Minister Mark Hooper has declared that buses must form the "backbone" of the new Plaid Cymru government's transport actions. Speaking at the launch of 30 new TrawsCymru vehicles in Aberystwyth, Hooper outlined several priorities:

  • Franchising by 2030: Wales-wide bus franchising remains on track, with secondary legislation due in the autumn. Hooper is "very confident" the process will be completed on schedule.
  • Fleet renewal: After nearly a decade of uncertainty over franchising, Wales now has the UK's oldest bus fleet. Hooper acknowledged that modernisation will take time and money, but defended using modern diesel vehicles in the interim — arguing that shifting people from cars to buses is an immediate environmental gain.
  • Seamless multimodal journeys: Hooper wants passengers moving from train to bus to feel the same quality of service: "You want to feel that the seat you're sitting on feels as comfortable as the seat on the train."
  • Supporting SME bus operators: Franchising, Hooper argued, would support the "SME community of bus operators" — small companies that not only run franchised services but also provide school transport and other community functions.
  • A new North–South coach service within the government's first 100 days, connecting Bangor, Aberystwyth and Carmarthen.

News Source: Buses to be 'backbone' of transport actions (Passenger Transport, June 2026)

My Reflection

This is a welcome policy signal, and it touches on several challenges that sit squarely within transport optimisation research.

Franchising is a network design problem. Moving from commercial registration to franchised contracts gives the authority control over routes and frequencies for the first time. This is an opportunity — but also an obligation to solve the Transit Network Design Problem (TNDP) properly. In rural Wales especially, the fundamental tension between frequency (concentrating resources on fewer, high-frequency corridors) and coverage (spreading thin to reach dispersed communities) becomes acute. Getting this balance right requires rigorous optimisation, not just political negotiation.

Seamless transfers need optimised timetables. Hooper's vision of a seamless train-to-bus experience is exactly right, but comfort parity alone is not enough. If the bus departs five minutes before the train arrives, the seamless seat means nothing. Transfer synchronisation — coordinating bus timetables with rail schedules at interchange points like Aberystwyth — is a timetable optimisation problem. This is a problem I work on directly: designing timetables that minimise transfer waiting times while respecting operational constraints.

The oldest fleet creates a transition scheduling challenge. Wales must retire ageing vehicles while simultaneously scaling up services under franchising. Where electrification is pursued, this becomes a joint problem: vehicle scheduling must account for range limitations and charging infrastructure availability at depots. Where modern diesel is the pragmatic interim choice — as Hooper argues — the scheduling challenge is simpler but the network still needs to be designed around the capabilities of a mixed fleet.

Supporting SME operators is about contract design. Hooper's point about franchising supporting SME bus operators is important and often overlooked. Large multi-national groups can absorb the risk of franchise contracts; smaller operators need contract structures that provide revenue certainty without excessive administrative burden. Getting this right is essential to preserving the local knowledge and community embeddedness that small operators bring.

This post is part of my OptiTransit Commentary series, where I apply academic rigour to public transport news.

Published by Lab for Optimising Public Transport
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Dr. Yu Jiang

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