RESEARCH ON URBAN TRANSIT RELIABILITY USING SMART CARD DATA

This thesis is dedicated to the application of smart card data in understanding service operations and enhancing transit reliability by conducting extensive analyses and constructing realistic models. With a particular focus on real-world problems faced by transit agencies and operators, this thesis follows a sequential approach and can be divided into three parts: (1) understanding transit service reliability, (2) modeling transit service reliability and (3) developing methodologies to enhance transit service reliability. The three parts are arranged around general topics and areas of interest in urban transit research. The thesis contributes new insights and knowledge on using smart card data to understand, model and enhance urban transit reliability. Ultimately, it provides data-driven mindsets and approaches to researchers, decision makers and in particular transit authorities and operators, helping them to better cope with the challenges arising from daily operation.

Author dc:creator

• SUN LIJUN

• transportation, public transit, smart card data, data-driven, urban mobility, reliability