Current and future needs of mobile workers

man in brown hoodie standing in front of train railway
Photo by Clem Onojeghuo on Pexels.com

Mobile workers’ current and future needs were studied by utilising both qualitative and quantitative data to identify the changing needs and the possibilities of new intelligent traffic system services in meeting these needs. The qualitative part of the study provides background information on the relevant topics and questions for the quantitative portion of this study, i.e., the survey. The survey was conducted with equal sample sizes (around 500 respondents) in each of our case region/country. The survey explored the suitability of the existing and future mobility solutions for the commuters’ present and future mobility needs. Moreover, the purpose of the survey was to identify specific traveller profiles across and within the regions in question.

A qualitative approach, consisting of users’ self-produced mobility maps and semi-structured interviews, was used to find out potential benefits and challenges of new and upcoming mobility solutions. Interviews also provided an excellent opportunity to gather panels that test and evaluate some of these new services.

These next pages summarise the key findings of the mobile workers’ needs survey. The current and future needs of mobile workers deliverable presents the basic statistics of the survey and the first round analysis on the travellers’ profiles in more detail. The deliverable builds on the previous analysis of the mobile workers’ needs survey.

The mobile workers’ need survey was conducted in Austria, Finland (the Growth Corridor Finland, GCF) and Switzerland (Basel Region). The first set of findings describes the characteristics of mobile workers as well as their commuting environment. We then present the key findings on the mobility behaviour and the overall satisfaction with the present transport choices of the commuters. In addition, aspects that could potentially change the present mobility modes to more sustainable ones are discussed. The second set of findings are based on a cluster analysis, where the aim was to identify commuting profiles and user groups in each of the case regions.

Next: Characteristics of mobile workers in three regions

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