My offer

My offer supports various stakeholders involved in urban mobility management:

  1. Public Transport Authorities;
  2. City and Town Councils;
  3. Other consulting agencies (contribution to large-scale projects, peer review of reports and analyses etc).

It encompasses both ‘hard’ skills (e.g. transport modelling) and ‘soft’ skills (e.g. managing public consultations) and includes the following areas:

Implementation of MaaS by improving multi-modal integration

In each of the four dimensions:

  • Network integration
  • Schedule integration
  • Fare integration
  • Integrated information

network optimisation

  • Developing new route maps with a detailed route listing;
  • Identification of main and supporting routes;
  • Estimating target frequencies for each route;
  • Calculating new operational costs (vehicle-kilometres) and a new fleet size requirement.

See examples here.

modal choice modelling

  • Simulation of “car vs. public transport” decisions for a population or sample of journeys;
  • Calibrated to results of the latest traffic survey;
  • Allowing for identification of locations where a minor improvement in public transport offering can significantly reduce congestion.
  • Combined with surveys among local residents about their transport choices.

big data in transport

a) Analysis of smart card data:

  • Data on journey routes (origin – destination) that can be useful in improving the match between the route network and passengers’ needs.
  • Data on journey length and time that may help in making the fare structure more attractive by resembling the features of actual journeys.

b) Practical conclusions from transport models:

  • Analysis of data on origin and destination of journeys, both in public and private transport. Helpful with route network design and when considering changes to the network.
  • Isochrone maps, showing the area that can be reached by public transport within a specified time from a selected point (see examples here). Supports analysis of access to public transport, informed decisions (personal, public or commercial) about location choices and comparison of alternative versions of a public transport network.
  • Estimating a distribution of a number of connections (changes) for the entire transport system, weighted by the number of journeys. Helpful when comparing alternative versions of a public transport network as an additional optimisation parameter (together with frequency and operational cost) and for comparison analysis of transport systems in various cities.

fare structure and levels analysis

Including optimal fare level derivation, at which public transport offers better value than individual transport, considering journey time and local economic conditions. The new fares would help increase passenger numbers at unchanged subsidy amount; any fare reduction would be limited by a requirement of the same or increased ticket revenue.

impact analysis of planned changes to the transport network

  • Quantitative: comparison of time and cost of travelling by public transport before and after the changes for all or selected journeys within the system.
  • Qualitative: network efficiency test, in line with the assumptions of KCA method.
  • Predicting patronage of the revised network.
  • Estimating the new subsidy amount, given current or new fare levels (see also below) and new operational costs.

change management in public transport

  • Achieving support of key stakeholders, e.g. city councillors, citizens, NGOs, operators’ employees.
  • Public consultation strategy.
  • Shaping the perception of change as a chance (as opposed to a threat).
  • Finding the balance between a change deemed too radical and having a very limited impact.

Transport scheme appraisal

Including cost and benefit analysis using a simple metric to help the authorities choose the most effective option, e.g. for routing of a new rail line.

See here for an example (in Polish).

Want to know more?

Ask me what I can do for your city: contact form.