Research Article
Cycling Analytics for Urban Environments: From Vertical Models to Horizontal Innovation
@INPROCEEDINGS{10.1007/978-3-030-97603-3_10, author={Carlos Carvalho and Ricardo Pessoa and Rui Jos\^{e}}, title={Cycling Analytics for Urban Environments: From Vertical Models to Horizontal Innovation}, proceedings={Intelligent Transport Systems. 5th EAI International Conference, INTSYS 2021, Virtual Event, November 24-26, 2021, Proceedings}, proceedings_a={INTSYS}, year={2022}, month={3}, keywords={Cycling analytics Mobility models Horizontal innovation Urban cycling Smart cycling ITS for smart cities: sustainable transportation New trends in ITS}, doi={10.1007/978-3-030-97603-3_10} }- Carlos Carvalho
Ricardo Pessoa
Rui José
Year: 2022
Cycling Analytics for Urban Environments: From Vertical Models to Horizontal Innovation
INTSYS
Springer
DOI: 10.1007/978-3-030-97603-3_10
Abstract
The full potential of Intelligent Transport Systems (ITS) can only be achieved by combining the efforts and the knowledge of multiple entities. This is also true for the current efforts towards the application of data, communications and services to improve cycling and its integration into general mobility systems. The currently prevailing paradigm is based on dispersed and self-contained custom processes, which fail to promote distributed and open innovation. These models are hard to reproduce, generalize, recombine or improve outside the context for which they were originally implemented. A digital platform strategy might offer a viable and scalable way to support convergence between multiple models and promote their usage as shared references for cycling ecosystems. In this work, we aim to validate our assumptions about the limitations of current development paradigms and analyse the extent to which a platform strategy could offer a fundamentally different approach to address those limitations. To validate the problem and uncover generalisation opportunities, we study 3 cycling mobility models and make an initial analysis of how the general principles of digital platforms could offer an alternative solution for cycling analytics. The results confirm a high potential for horizontal features and outline a set of key design principles for the development of a digital platform strategy for cycling analytics. This should constitute a contribution to inform the development of a new generation of cycling platforms for urban environments.
