چکیده مقاله
Modern urban governance is transitioning from traditional approaches towards data driven, transparent, and participatory models This article integrates two distinct yet deeply interconnected domains Big Data Sources and Local Governance Innovation to present a unified framework for understanding the transformation of public transportation systems We first conduct a systematic review of the most significant modern data sources, including Automated Fare Collection AFC systems, mobile phone Call Detail Records CDR , Global Positioning System GPS data, social media, and Automated Passenger Counting APC data We examine the advantages, limitations, and technical applications of each in estimating Origin Destination OD matrices, predicting demand, and optimizing services Second, we demonstrate how this data constitutes not merely technical tools but the foundation for a transformation in local governance This transformation manifests in performance based budgeting, precise policy impact evaluation, participatory service design, and enhanced transparency and accountability The article concludes by discussing the challenges facing this transformation, including privacy concerns, the digital divide, and the need for capacity building in local institutions It argues that the intelligent integration of these data sources into governance processes is key to achieving efficient, equitable, and intelligent public transportation systems
کلیدواژهها
نویسندگان
شیوه ارجاع
Radfar, Shariat and Koosha, Hamidreza and Gholami, Ali and Amindoust, Atefeh,1404,Managerial Innovations for Urban Public Transportation Transformation,11th National Conference and 4rd International Conference on Urban Planning and Management,Mashhad
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مجموعه مقالات یازدهمین کنفرانس ملی و چهارمین کنفرانس بین المللی برنامه ریزی و مدیریت شهری14 آبان 1404 · مشهد