RT Journal Article
T1 Exploring key spatial determinants for mobility hub placement based on micromobility ridership
A1 Arias Molinares, Daniela
A1 Xu, Yihan
A1 Büttner, Benjamin
A1 Duran-Rodas, David
AB Over the past decade, cities have witnessed a surge in micromobility services that offer flexible mobility options for citizens on an as-needed basis, such as for covering the first/last mile connection of their trips. Although these services have known benefits, including reduced CO2 emissions and less public space required for parking, there is still insufficient understanding of their common dynamics and usage, which can support decision-making in the quest for allocating new mobility infrastructure, like mobility hubs. In this paper, we propose a methodology to identify potential mobility hub locations based on the common associated spatial factors with the ridership of different micromobility services (station-based bike-sharing, dockless moped-style scooter-sharing and scooter-sharing services) in Madrid, Spain. We identify the common associated spatial factors with micromobility usage (e.g. bike stations' density, commercial land use and cycling infrastructure) and train linear models to explore which dependent variables represents better a “common ridership” of multiple micromobility services while fitting better that data. Subsequently, we test our models in a different area to identify potential hotspots for suggested locations. Findings show that considering micromobility ridership altogether using principal component analysis provides better ridership estimations in the test areas. The methodology has the potential to be replicable in other cities and guide decision-making processes for searching potential mobility hub locations.
PB Elsevier
SN 0966-6923
YR 2023
FD 2023-06
LK https://hdl.handle.net/20.500.14352/107131
UL https://hdl.handle.net/20.500.14352/107131
LA eng
DS Docta Complutense
RD 13 abr 2025