Exploration of Cross-Border Trip Characteristics Using Crowdsourced Data

This project aimed to explore cross-border trip characteristics using crowdsourced data, with a primary focus on INRIX data (INRIX, n.d.). Utilizing location-based services through mobile phones and connected vehicles, INRIX data provide detailed trip information on a continuous time and space spectrum. This project was based on three months of INRIX data purchased by the Center for International Intelligent Transportation Research (CIITR) that explored cross-border trips (i.e., trips that used one of the border crossings in either direction across the U.S.-Mexico border). Specifically, the data included trips from five of the six land ports of entry (LPOEs) in the region providing connection between El Paso and Juarez. The rest of this report includes four chapters: 1. Chapter 2 positions the study within the context by introducing the cross-border travel characteristics as well as the impact of COVID-19 on border travel, particularly focusing on the connection between El Paso and Juarez. 2. Chapter 3 describes the methodological details of the research study, including a description of the study area, the data used (both primary and secondary data sources), and the analysis conducted. 3. Chapter 4 provides the results of the analysis conducted, including a descriptive statistics-based analysis examining the travel patterns of cross-border trips for the study area during the corresponding study period. 4. Chapter 5 concludes the report with a summary and final remarks.