Abstract

One of the most challenging parts of daily life for disabled people is travel. In most cities around the world, accessible travel remains inefficient. On average, completing a trip takes people with limited mobility 2.5 times longer compared to able-bodied people due to poor infrastructure such as the lack of step-free access, or real-time accessibility information. At the same time, navigation platforms fail to address the individual needs of people with disabilities, as they lack customisable routing options, on grounds of producing ”mass-used” solutions. Providing accurate information about the accessibility of locations and having tailored developed routes based on personal needs and preferences, poses a real-world challenge that is yet to be fully addressed. Enabling people with disabilities to travel freely around cities will not only give each individual a greater sense of independence, but also allow for society as a whole to benefit from everything this large community has to offer.

This report presents the outputs of the 2021 Data Study Group by The Alan Turing Institute and CityMaaS, a UK based company with the vision of personalising the way the disabled community consumes accessibility data and services. The challenge presented by CityMaaS is how can we develop a platform that provides reliable information on the accessibility of destinations, and at the same time be flexible enough to address people with a varying set of needs. Thus, it can be divided into the following two sub-challenges:

  • Predicting the accessibility of points of interest (POIs) in a city;
  • Personalised route-planning with accessibility constraints.

Citation information

Data Study Group team. (2022, July 5). Data Study Group Final Report: CityMaas. Zenodo. https://doi.org/10.5281/zenodo.6798694

Additional information

PIs: Antonia Gieschen and Flora Roumpani