This study explored how crowdsourced data can be used to better understand cross-border trips and travel patterns. Transportation officials can use these results to develop robust, data-driven policies regarding cross-border trips that, in turn, should make for more efficient, safe, and secure travel.
by Alejandro Berlanga Alzaga and Valeria Martinez When you think of drones, you may think of a package getting delivered to your doorstep. Many companies conduct flight missions of drones for delivering goods, but other applications for drones can benefit the public (and commercial vehicle drivers) in another way — travel across the border.
This report explores cross-border trip characteristics using crowdsourced data, primarily focusing on INRIX data. The research team identified several cross-border travel patterns at El Paso–Ciudad Juárez land ports of entry and noted trends related to the COVID-19 pandemic.
For years, employees with El Paso’s transit system, Sun Metro, could only wonder how many of their riders use the Paso del Norte point of entry bridge connecting El Paso, Texas, and Ciudad Juarez, Chihuahua.
Just about everyone these days is connected to the world at large—thanks to technology. It’s because of that technology that our smartphones have the ability to help El Paso’s Sun Metro (the city’s public transportation service) and city planners make the best choices about new routes, additional stops, and other transit decisions that could improve system efficiency in the most cost-effective way possible
