Alexandra BRETONES, Grup d'Estudis en Mobilitat Transports i Territori (GEMOTT)/Geography Department/Autonomous University of Barcelona, Spain
Guillem VICH, Barcelona Institute for Global Health - Campus MAR Barcelona Biomedical Research Park (PRBB) Doctor Aiguader, 88 08003 Barcelona, Spain, Spain
Oriol MARQUET, Grup d'Estudis en Mobilitat Transports i Territori (GEMOTT)/Geography Department/Autonomous University of Barcelona, Spain
In the last years there has been an increase in the use of electric micromobility devices (electric scooters, electric bicycles, electric mopeds, etc.) in cities worldwide. Due to their novelty, their effects in population’s health are still unknown. While the evidence on physical activity levels associated with e-bike use is quite solid (i.e. 4-7 METs across different studies, depending on the assistance mode chosen) (Bourne et al. 2020), little evidence exists on the physical activity levels associated with e-scooter use. Lopez-Doriga et al. (forthcoming) assigned 3.5 METs to the e-scooter, while an experimental field study in the US estimated 2.15 METs (Wen et al. 2019). An e-scooter company argued that e-scooters offer a low intensity workout that can help increase core strength and exercise the legs (Pure Electric 2019). A conclusion that can be drawn, despite a lack of literature, is the potential of e-scooters providing some form of light physical activity in comparison to sitting in the car or public transport (Ekelund et al. 2016; Glenn et al. 2020).
In this study, we aim to explore the association between number of daily trips done using electric micromobility modes and daily moderate-to-vigorous physical activity levels in an adult population in Barcelona city. We will use data from the ‘New mobility in the city: Health and social impacts of shared and private scooters, e-bikes and e-motorbikes in Barcelona (NEWMOB)’ project. As part of the study, an ad hoc survey with socio-demographic characteristics was answered by 900 adults using electric micromobility modes and a subsample of 150-200 participants wore an accelerometer and answered daily travel diaries for five days. To answer our research question, we will use data from the 150-200 subsample. The number of trips done using electric micromobility modes will be calculated using the reports from the travel dairies and the physical activity levels will be obtained from the accelerometer data.
Mots clés : electric micromobility|physical activity|accelerometer|health|active travel
A104939AB