A spatial autoregressive analysis of E-Scooter trip production in Calgary, Alberta

This study explores the impact that transportation infrastructure, land-uses, meteorological conditions and socio-demographics play on the production of shared, dockless E-Scooter trips in the City of Calgary. Using trip count extracted from the City of Calgary’s E-Scooter pilot from 2019 to 2022, the study looks atthe impact of these characteristics by running a Zonal-Based Negative Binomial-Spatial Linear Feedback (NB-SLFM) Trip Generation for each year of the pilot period. Findings convey that land-use characteristics and the presence of active transportation infrastructure consistently influenced trip production yet, the significance of points of interest and socio-demographic variables varied. Since the pilot period extends before and after 2020, trip production may have partially been influenced by travel restrictions during the global COVID-19 pandemic. The SLFM added increased efficiency to the trip generation model and highlighted that the presence of spatial interactions stimulating trip production in neighboring locations.