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Conan CHEUNG

Senior Executive Officer

Service Development, Scheduling & Analysis, Los Angeles County Metropolitan Transportation Authority

Los Angeles, United States of America

Conan Cheung, Senior Executive Officer – Service Planning, Scheduling & AnalysisnnConan Cheung served as the Senior Executive Officer – Service Planning, Scheduling & Analysis, at LA Metro. In this capacity, he is responsible for planning, implementing and evaluating service changes to Metro Bus and Rail services, including tracking ridership trends, establishing systemwide transit service policies and standards; operations planning and scheduling; operations data reporting and performance analytics, and management of the Regional Service Councils. Mr. Cheung also spent three years with the Office of Management and Budget establishing agency wide performance metrics, researching ridership trends throughout the region, and operations analysis. Prior to LA Metro, Mr. Cheung was Director of Planning and Scheduling with the San Diego Metropolitan Transit System, and worked for transportation planning agencies and consulting firms in the San Francisco Bay Area. Mr. Cheung received his BS in Urban Planning and Public Administration from the University of Southern California, and a MA in Urban Planning from the University of California, Los Angeles.

Sessions

Wed 23 Oct: Bus operation: network design and route planning

Los Angeles Metro NextGen Bus Restructuring Study – Using big data to understand transit competitiveness and market potential


LA Metro operates the second largest bus network in the United States, carrying 850,000 daily boardings. Despite changes in population, travel patterns, and new travel opportunities, the bus network has not been comprehensively reviewed and restructured in over 25 years. Given the transforming landscape of transportation and travel demand within Los Angeles County, Metro embarked on the NextGen Bus Study in 2018 to redesign the bus network into a system that is relevant, reflective of, and attractive to diverse customer needs. As part of this study, new methods were used to analyze big data (location based services and automatic fare card data) that revealed new insights into transit competitiveness and market potential.
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