Ci (Jessie) Yang, Ph.D.

 

Photo taken at 2013 WTS-GNY Annual Gala, Grand Central Station, NYC

  • Research Program Coordinator in Center for Advanced Infrastructure and Transportation (CAIT), Rutgers Univerisity, New Jersey

  • Ph.D. candidate in Civil and Environmental Engineering, Rutgers University

  • You can find my CV here.

    Email: jessie_yang06 (at) yahoo.com


    Research adviser: Eric Gonzales

A Demonstration of Big Data

Visualization of New York City 10-month Taxi Pickup Trips Aggregated into 24 Hours

Change speed: Slow Medium Fast

Visualization of New York City 10-month Taxi Drop-off Trips Aggregated into 24 Hours

Change speed: Slow Medium Fast

Identifying the factors that influence taxi demand is very important for understanding where and when people use taxis. A large set of Global Positioning System (GPS) data from New York City (NYC) taxis is used along with demographic, socioeconomic, and employment data to identify the factors that drive taxi demand. The taxi data is categorized by pick-ups and drop-offs at different times of day to help understand how taxi demand changes by day of time. The visulazation of the taxi pick-ups and drop-offs are shown below. A multiple linear regression model is estimated for each hour of the day to model pick-ups and another to model drop-offs....

This paper has been accepted for publication by Transportation Research Record (TRR), Journal of Transportation Research Board.

For the full version of the paper, please visit HERE.

Research Interest

Transportation Modeling and Planning (Travel Demand and Supply Modeling, Public Transportation System, Operational Research); Transportation Safety Management (Safety Data Analysis/Mining, Safety Data Quality Management, Safety Data Modeling); Statistical Analysis (Decision-making Predictive Modeling, Time Series Modeling, Spatial Data Mining); Environmental Engineering; Big Data analytics.

Education

Publications

  1. Yang, Ci and Gonzales, Eric (2015), “Modeling Taxi Demand and Supply in New York City Using Large-Scale Taxi GPS Data.” Seeing Cities Through Big Data - Research, Methods and Applications in Urban Informatics (In Press).

  2. Gonzales, Eric, Ci Yang, Ender Morgul, and Kann Ozbay (2014), “Modeling Taxi Demand with GPS Data from Taxis and Transit”. Mineta National Transit Research Consortium (MNTRC) Report 12-16 (Released on July 21, 2014), also covered in media by WFSB-TV 3, TikerTech.com, and Securities Technology Monitor.

  3. Yang, Ci and Eric Gonzales (2014), “Modeling Taxi Trip Demand by Time of Day in New York City”. Transportation Research Record, No. 2429, pp. 110-120

  4. Yang, Ci, Ender Morgul, Eric Gonzales, and Kaan Ozbay (2014), “Comparison of Mode Cost by Time of Day for Non-driving Airport Trips to and from New York City's Pennsylvania Station”. Transportation Research Record, No. 2449, pp. 34-44

  5. Yang, Ci and David Hill (2012) “Modeling Stream Flow Extremes Under Non-time-stationary Conditions”, International Conference on Computational Methods in Water Resources (CMWR), 17-21 June, Champaign, IL

Presentations

Experience

Rutgers University, Center for Advanced Infrastructure and Transportation (CAIT), New Brunswick, NJ
Research Program Coordinator, January 2015 - June 2015

Graduate Research Assistant, May 2014 - January 2015

Rutgers University, Department of Civil and Environmental Engineering, New Brunswick, NJ
Graduate Research Assistant, September 2012 - June 2014

Texas Environmental Studies and Analysis (TX-ESA), Kingsville, TX
Environmental Data Analyst, February 2010 - August 2010

Texas A&M University, Department of Environmental Engineering, Kingsville, TX
Graduate Research Assistant, August 2007 - December 2009

Memberships

American Society of Civil Engineers (ASCE)

Awards and Honers

Awarded Outstanding Student in ITS-NJ Annual Meeting, 2014

Awarded WTS-GNY Leonard Braun Memorial Graduate Scholarship, 2013

Student Poster winner ITE Northeastern District Meeting, 2013
- [On the ITE newsletter]

Awarded School of Engineering (SOE) Fellowship at Rutgers University, 2010 & 2011