Gisaïa launches arlas.city with Tisséo Collectivités as first adopter.
December, 14, 2020
Arlas.city is a geo-analytical solution for Public Transport Authorities. This innovative SaaS service gives public transport decision-makers the ability to respond to the needs of residents for efficient public transport. Arlas.city enters the market with Tisséo Collectivités.
Tisséo Collectivités’ transport network is vast, complex and includes different modes of transport; metro, tramway, bus and cable car. Tisséo benefits from the harmonious alignment of all their data sources, which are distributed in several silos. Indeed, arlas.city offers a unified, global and instantaneous view of the different Tisséo data silos covering, among other things, the network elements (113 lines and 3674 stops), ticketing, and the advances/delays observed.
This allows Tisséo to measure theoretical, operational and societal performances. Tisséo’s teams can carry out customer analyses and obtain economic indicators to make precise and timely strategic decisions, for example to determine where to place stops, establish a new link between modes or even increase or decrease the frequency of services.
Arlas.city offers a unique analytical perspective on the operational performance of the transport network and its attractiveness to the public through the integration of population and ticketing data. In addition, arlas.city is interoperable with other solutions, eliminating redundancy and providing an efficient and seamless tool chain. This cloud solution offers great flexibility, especially for the growing need for remote working. Its ease of use makes it accessible across all public transport authorities’ command-chain for synchronised, evidence-based choices.
But arlas.city doesn’t stop there, as ongoing developments will allow the integration of demographic data.
Toulouse public transport network data viewed on arlas.city
Isochrones – curves connecting points accessible to travelers in a given time – are excellent indicators of network performance. Moreover, isochrones, once projected onto population data, allow the social performance of the population to be estimated.
arlas.city is constantly evolving to bring more tangible facts to decision-makers. Decisions are justified and supported by reliable data and analysis. They lead to a balanced and efficient public transport network that ensures mobility, accessibility and passenger satisfaction.