Future Research. Based on the lessons learned from this study, the research team suggests the following areas for future research: • To better understand the spatial and temporal dynamics of transit demand, there is a need to capture and monitor the trends and impacts on the transit system. This is needed to address issues like the growing and aging of the population, the increasing congestion, and the rapidly evolving technologies and mobility services. • Most transit agencies in the U.S. collect data from the electronic farebox and other transit ITS systems. However, there is a lack of effective tools or mechanisms that allow for the extraction and efficient use of data and information, so this is an area that needs particular attention. • The development of sophisticated techniques is key for taking full advantage of the available data. More research studies are needed on how to effectively manage and utilize large amounts of data and how that can be used by transit agencies and decision-makers. The development of new techniques or the technology transfer of previous research can benefit not only transit agencies, but also the whole transportation sector. • More work is needed to identify the role of Transit ITS vendors and software developers in the development of systems and tools for the transit industry. Perhaps, government agencies and decision makers need to look at the possibility of encouraging vendors and developers to create technological systems that combine ITS data with other datasets such demographic data, parcel data, census data, and other related datasets that can be used by transportation and transit agencies. This can help improve transit service efficiencies that can promote the use of public transportation. Table of Contents DISCLAIMER ii METRIC CONVERSION CHART iii TECHNICAL REPORT DOCUMENTATION PAGE v EXECUTIVE SUMMARY vi Table of Contents xii List of Tables xiv List of Figures xv List of Acronyms and Abbreviations xvii
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Sources: Technical Memorandum, Technical Memorandum