![](bg9.png)
and human energy rates, combined with BSP modal
distribution for any route (as is presented in Figures
2 and 3), this methodology allows estimating the
total energy expenditure (human and electric),
electric autonomy, as well as HR variations,
according to the trip profile. As a result, this
methodology can be applied to evaluate the potential
use of EB in specific situation, namely bike-sharing
routes, providing significant support to bike-sharing
systems design and deployment.
ACKNOWLEDGEMENTS
The authors would like to acknowledge the sponsors
of the research: Prio.e and Eco-critério. Thanks are
also due to Fundação para a Ciência e Tecnologia
for the PhD and Post-Doctoral financial support
(SFRH / BPD / 79684 / 2011, SFRH / BPD / 62985 /
2009).
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