UNDERSTANDING TRAVEL ACTIVITY IN THE DIGITAL ERA: MODELING TRAVELLER PROFILES AND INTERACTION BETWEEN ICT ACCESS, AND WORK ARRANGEMENTS

Abstract

Advances in digital technology have changed how people work, socialize, and travel, yet most transportation planning still focuses on physical trips. This thesis explores how digital access and flexible work arrangements shape mobility and how transportation systems can adapt. It uses the 2024 Calgary CanTRAC Survey, which collected travel diaries and information on ICT ownership, online activity, and lifestyle preferences from 1,474 individuals. A two stage calibration corrected selection bias. Using this weighted dataset, k prototypes clustering identified three groups: Traditionalists, Hybrid Workers, and Active Professionals. A latent segmentation mixed logit model showed that technology access supports hybrid work, while job type and flexibility influence technology adoption. It introduces new ways to integrate digital participation into travel analysis and provides policy guidance to support flexible transit, digital inclusion, and more inclusive urban mobility.