Key research themes
1. What geographic and temporal factors influence fare evasion patterns in urban public transport systems?
This research area focuses on understanding how spatial, temporal, and inspection-related factors contribute to fare evasion behaviors in dense urban bus networks. It matters because fare evasion leads to significant revenue loss, social impacts, and operational challenges for transit authorities. Incorporating geographic components into analysis can uncover spatial heterogeneity in evasion tendencies enabling more effective targeting of inspections and policy interventions.
2. How do enforcement levels and inspection strategies affect fare evasion rates and can cost-effective methodologies optimize their allocation?
This theme zeroes in on the role of inspection intensity and enforcement mechanisms in deterring fare evasion. Given the costs of inspections and finite resources, determining the effectiveness of inspection strategies and their interactions with ridership and geographic demand patterns is crucial for transit agencies aiming to maximize compliance and revenue. Methodological innovations in data-driven, microeconomic-driven, or spatial models enhance decision-making for inspection allocation.
3. Can technology-enabled dynamic and differentiated pricing strategies reduce fare evasion and optimize public transport revenue and accessibility?
Advances in ICT such as smart card data and e-ticketing enable precise tracking of travel behavior, opening opportunities for dynamic pricing strategies that can potentially reduce fare evasion by aligning prices better to demand and user segments. This research area also explores how free fare policies and dynamic incentives shape ridership behavior and equity outcomes, thus impacting fare compliance and transport sustainability.