Tag: ride data

Rideshare demand prediction is a well-explored topic in academia and industry, with abundant online resources offering diverse modeling frameworks tailored to different geographic contexts. A challenge with rideshare demand prediction, however, is that the trip data required to calibrate or train models can be exceptionally large. In this post, we explore the challenges of big data analytics and showcase how ArcGIS GeoAnalytics Engine, a spatial analytics library for the Apache Spark environment, can be used on Amazon EMR to effectively address these problems.

The British Columbia Automobile Association (BCAA) started the mobility revolution in B.C. over 100 years ago when a small group of British Columbians, passionate about cars and mobility, joined together to form an auto club. A century later, BCAA continues to help new generations get to where they need to go, and Evo is one way BCAA meets their changing mobility needs. Evo Car Share is Vancouver’s free-floating car sharing service offering a full fleet of 1,500 four-door, hybrid vehicles.