Business locations (from individual companies to industrial and technology parks) in rural and sub-urban areas are often dependent on the car as the main transport mode for commuting mobility. In many cases, the availability of adequate public transport connections is insufficient. In addition, we are faced with different working time models and individually different requirements, preferences and behaviour patterns with regard to mobility. Against this backdrop, reducing the number of trips made by car represents a particular challenge.



The effects with regard to mobility behaviour that can be achieved by nudges heavily depend on the respective situation. Over the past years, the knowledge on nudging mechanisms and effects in the mobility domain has increased substantially. In parallel, the number of sensors and the amount of mobility-related data being generated, partly in real-time, has seen a huge upsurge. However, these two research and development strands have not been tied together yet.



Trips to work, including school escorts, have a large share of overall traffic. By switching these trips to sustainable modes, substantial ecological, health- and traffic-related effects can be expected. Building upon previous research results, we are pursuing a systematic approach toward commuting mobility. Moreover, digital tools need to be developed, which allow users to exploit synergies between mobility management and health promotion in the context of companies and institutions.



triply develops software solutions for a better understanding of mobility systems and for planning optimized transport offers. In a next expansion step, the company seeks to complement the existing capabilities with a tool for planning demand-oriented mobility concepts. This should be based exclusively on data-driven, automated processes for planning and coordination. The primary application areas of this extension are rural, rather underserved areas. The research and development components of this project will be implemented together with partner from academia and industry: RSA iSpace research studio, Cloudflight Austria GmbH, Hutchinson Drei Austria GmbH and the Austrian Federal Railways (ÖBB).



Carployee is a leading provider for a B2B solution that facilitates the organization of carpooling employees. Commuters are being motivated to pool their cars via Carployee’s carpooling app, which includes the matching and an incentive system with gamification components. Currently, the matching considers only commutes by car and pick-up locations at home addresses. In order to increase the potential of carpooling and to make the app more attractive, the functionality and flexibility of the app is going to be extended within a research cooperation between Carployee, Z_GIS and Seibl IT. The major challenge of this project is the complexity of the optimization problem, which can be solved only heuristically.



In addition to infrastructure or regulatory measures, the ETSC (European Road Safety Council) also proposes cooperative intelligent traffic systems (C-ITS) to increase the safety of vulnerable road users (VRUs). Current studies assume that the introduction of connected and automated vehicles (CAVs) will also have a significant impact on VRUs, whereby the question of advantages or disadvantages remains open.