Developing the Alps into a model-region for reduced working mobility

Basic information:

The large share of cross-border commuter traffic requires a common approach – purely national or regional approaches do often not consider this aspect. Also, the specific settlement pattern in the Alps and the concentration of jobs in the major economic centres leads to high commuter traffic, which often overlaps with tourism traffic in the peak times.

Working mobility/commuting makes up a considerable share of passenger traffic in the Alps and leads to considerable environmental impacts. The specific challenge of cross-border commuter mobility makes it difficult to work towards effective solutions – national or regional approaches do not consider cross-border commuter flows.

An Alpine-wide approach would thus be necessary to effectively reduce working mobility, including smart approaches to deal with cross-border mobility but also incentive systems to reduce overall commuter traffic (e.g., by implementing remote working options, teleworking, decentralized working spaces, etc.).

Sequence of implementation steps:

In the frame of the ARPAF project “cross-border mobility”, several effective commuter cooperation models have already been identified. A toolbox has been developed and a first round of training courses was implemented. As the project was focused on some pilot areas, the experiences can be extended to other regions of the Alpine area (transfer).

The pilot projects should also explore potentials for reducing overall commuter mobility, e.g., options for teleworking, decentralized workspaces, etc.

Network of regional mobility coordinators (parallel to energy coordinators in Pathway “Set-up a pathway of regional energy coordinators”) as interface between company level, municipalities, and regions will be set-up.

Based on experiences in step 1, several pilot projects with companies and municipalities are developed to test different approaches for location-flexible work solutions (e.g., experiments with teleworking/work floating approaches). This could include large companies which are major employers in a specific region (bottom-up) or municipalities/regions with a large share of outgoing commuter traffic (top-down).

  • Pilot projects and experiments could have different focuses: general working times, times during peak travel seasons, ensuring productivity during winter seasons/natural hazard events…)
  • Should make use of existing platforms or apps (e.g., for carpooling).

Should test financial incentives for teleworking models

Based on first experiences of the regional mobility coordinators, a set of recommendations for Alpine companies to facilitate decentralized work&living solutions will be developed.

Further Information:

  • Companies
  • Municipalities (-> ALPACA network)
  • Coworking office spaces/suppliers
  • Establishment of a network of regional mobility coordinators
  • Recommendations on Alpine-wide framework for reducing commuter mobility
  • Enabling the largest share of Alpine employees to (partly) make use of flexible work solutions
  • Pilots: number of follow-up pilot actions on commuter mobility
  • Trainings: Number of participants of training sessions
  • Regional mobility coordinators: Number of mobility coordinators installed
  • Recommendations: number of companies that apply the recommendations
  • Current ARPAF project. Cross-border mobility
  • PeMo project (stock-taking No. 53)
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Transport is one of the main causes for climate change in the Alps, almost 30% of all CO 2 -emissions are due to passenger and freight transport. The largest share of Alpine transport emissions is due to long-distance freight transport which can only be decarbonized in a common approach – hand-in- hand with partners at regional, national and European level and with the relevant stakeholders in the transport sector. Similarly, modal shift strategies for passenger transport need to recognize the specific challenges in the Alps as related to cross-border mobility, mobility needs in remote regions as well as specific demand patterns related to tourism traffic.