Transport Systems

Data-driven models for the mobility of the future
Our Transport Systems business unit provides decision support products and services for the transportation sector based on non-conventional data sources and innovative modelling approaches, with particular focus on emerging mobility concepts and technologies.

Automation and digitalisation are rapidly changing the transport sector, modifying travel behaviour and giving rise to a multitude of new mobility solutions, often grouped under the banner of smart mobility. Connected and autonomous vehicles (CAVs), shared mobility services, demand responsive transport (DRT) and mobility as a service (MaaS) hold great promise for moving towards a more sustainable, efficient, resilient and safe mobility system, but they also raise serious concerns, such as the shift from soft modes and public transport to less sustainable modes, the exclusion of vulnerable groups, and the financial viability of some emerging business models.

To realise the full potential of new mobility solutions, researchers, planners and policy makers need to understand the impact of these disruptive changes and evaluate alternative policies under different future scenarios. However, current transport planning methodologies, data sources, modelling approaches and decision support tools face severe limitations to deal with this new landscape. First, the key performance indicators (KPIs) used to assess the transport system fail to capture aspects that are critical to understand the opportunities and risks of the so-called smart mobility, such as competition and complementarity with public transport. Second, the acceleration of technology evolution is changing mobility at much shorter timescales than those considered by traditional planning approaches, raising the need for new data collection methodologies and monitoring tools that allow the timely detection of relevant changes and trends. Third, transport models are not yet ready to take full advantage of new big data sources nor to simulate features such as multimodal trips and the stronger coupling between supply and demand brought about by emerging mobility solutions. Finally, the development of decision support tools able to effectively facilitate participatory policy processes is more necessary than ever due to the appearance of an increasing number of stakeholders and business models. Nommon combines its expertise in mobility analytics and travel demand modelling to give an answer to these pressing needs.