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Geography Colloquium Series

January 16, 2015
3:30PM - 5:00PM
1080 Derby Hall

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Add to Calendar 2015-01-16 15:30:00 2015-01-16 17:00:00 Geography Colloquium Series The Colloquium Series presents the first speaker of the new year, Vonu (Piyushimita) Thakuriah Professor, School of Social & Political Sciences, Univ. of Glasgow.Dr. Thakuriah will present a talk about Data-Driven Public Transportation and OperationsThis presentation will consider the opportunities and challenges to public transport arising out of increasing availability of open data and location-based services in cities. Such initiatives have the potential to foster a data-driven approach to planning and service delivery. Recent programs relating to data and technology in transit systems were implemented against a backdrop of changing societal preferences, economic circumstances and an increasingly strong role played by entrepreneurs providing digital city services. Using a combination of statistical modelling and machine learning for knowledge discovery, these topics and their interconnections will be discussed by considering the case of real-time bus arrival systems and their spatio-temporal effects on ridership. Technical and institutional challenges to delivering planning and operational solutions derived from data-driven approaches will be discussed. 1080 Derby Hall Department of Geography geog_webmaster@osu.edu America/New_York public

The Colloquium Series presents the first speaker of the new year, Vonu (Piyushimita) Thakuriah Professor, School of Social & Political Sciences, Univ. of Glasgow.
Dr. Thakuriah will present a talk about Data-Driven Public Transportation and Operations

This presentation will consider the opportunities and challenges to public transport arising out of increasing availability of open data and location-based services in cities. Such initiatives have the potential to foster a data-driven approach to planning and service delivery. Recent programs relating to data and technology in transit systems were implemented against a backdrop of changing societal preferences, economic circumstances and an increasingly strong role played by entrepreneurs providing digital city services. Using a combination of statistical modelling and machine learning for knowledge discovery, these topics and their interconnections will be discussed by considering the case of real-time bus arrival systems and their spatio-temporal effects on ridership. Technical and institutional challenges to delivering planning and operational solutions derived from data-driven approaches will be discussed.