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Academic Lecture: Using Big Data Analytics for Public Transportation Planning in Urban Economic Development
2014-12-19
Time: 1:00-2:30PM, Dec. 23rd, 2014
Location: Room 335, School of Economics & Management
Speaker: Prof. Wang Haibo, Taxes A&M International University

This project develops a comprehensive data aggregation and analysis system to provide the decision support for public transportation planning and collects data from different sources such as Census data in the Economic Enhancement Zones, GIS data on public transportation lines and sensor or GPS data from the operators of public transportation. The data will be aggregated on both space and time dimensions and analyzed by using “big data” models and tools. A new difference-in-difference regression and estimation model is implemented for analyzing the “big data”.  The data collected from the project can be used to develop mobile application for public transportation as location based service. The improvement on public transportation planning can have benefits on creating the employment opportunities for lower income population, on helping local small business on attracting customers, on improving the accessibility to public service facilities for lower income population in the economic enhancement zones.

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