Research Article
An Ecosystem Approach to the Design of Sensing Systems for Bicycles
@INPROCEEDINGS{10.1007/978-3-030-76063-2_39, author={Ricardo Cabral and Eduardo Peixoto and Carlos Carvalho and Rui Jos\^{e}}, title={An Ecosystem Approach to the Design of Sensing Systems for Bicycles}, proceedings={Science and Technologies for Smart Cities. 6th EAI International Conference, SmartCity360°, Virtual Event, December 2-4, 2020, Proceedings}, proceedings_a={SMARTCITY}, year={2021}, month={5}, keywords={Smart mobility Cycling data Sensing bicycle}, doi={10.1007/978-3-030-76063-2_39} }- Ricardo Cabral
Eduardo Peixoto
Carlos Carvalho
Rui José
Year: 2021
An Ecosystem Approach to the Design of Sensing Systems for Bicycles
SMARTCITY
Springer
DOI: 10.1007/978-3-030-76063-2_39
Abstract
Bicycles equipped with sensors, processing capacity and communications can be a promising source of data about the personal and the collective reality of urban cycling. While this concept has been attracting considerable interest, the key assumption is the design of a closed system where a uniform set of sensing bicycles, with a concrete set of sensors, is used to support a specific service. The core challenge, however, is how to generalise sensing approaches so that they can be collectively supported by many heterogeneous bicycles, owned by a multitude of entities, and integrated into a common ecosystem of urban data. In this work, we provide a comprehensive analysis of the design space for on-bike sensing. We consider a diverse set of sensing alternatives, the potential value propositions associated with their data, and the collective perspective of how to optimise sensing by exploring the complementarities between heterogeneous bicycles. This broader perspective should inform the design of more effective sensing strategies that can maximise the overall value generated by bicycles in smart cycling ecosystems and enable new cycling services.
