DAAPDirectoryBanner

DAAP Directory: School of Planning

< Back to list

Na Chen

Title: Asst Professor
Office: 6201 Daa Addition
Tel: 513-556-4212
Email: na.chen@uc.edu

Dr. Na Chen is an assistant professor in School of Planning, College of DAAP, at University of Cincinnati. She received her B.A degree in Public Policy from Sun Yat-Sen University, Guangzhou, China, in 2008, the M.A. degrees in Community Planning and Public Administration from Auburn University, AL, in 2011, and Ph.D. degree in City and Regional Planning from The Ohio State University, OH, in 2016. After she received her Ph.D. degree, she worked as a Postdoctoral Scholar in Department of Technology Management at University of California, Santa Cruz, CA. 

Her research interests include travel demand forecasting, activity-based travel behavior analysis, accessibility, activity space, transportation equity and policy, transportation and land-use planning, spatial data analysis and Geographic Information System (GIS) applications for urban planning. She has published several articles in peer-reviewed journals and presented relevant studies and researches in international conferences.

Dr. Chen’s teaching interests cover transportation planning and policy, travel demand modeling and network analysis, policy evaluation, quantitative and statistical methods for planning and spatial econometrics.

Education

  • PhD, The Ohio State University, Columbus, OH, USA, 2016 (City and Regional Planning).
  • MCP, Auburn University, Auburn, AL, USA, 2011 (Community Planning).
  • MPA, Auburn University, Auburn, AL, USA, 2011 (Public Administration).
  • BA, Sun Yat-Sen University, Guangzhou, China, 2008 (Public Policy).

Research Information

Research Interests

Travel demand forecasting 
Transportation and land-use planning
Travel behavior modeling
Accessibility
Activity space
Transportation equity
Land-use modeling
Spatial data analysis

Publications

Peer-reviewed Publications

  • Na Chen, Chih-Hao Wang, and Gulsah Akar (2017). A Geographically Weighted Regression Approach to Investigate The Spatial Variations In Activity Space. Transportation Research Record, 2671, 40-50.
  • Chih-Hao Wang and Na Chen (2017). A Geographically Weighted Regression Approach to Investigating the Spatially Varied Built-environment Effects on Community Opportunity. Journal of Transport Geography, 62, 136-147.
  • Chih-Hao Wang, Na Chen, and Shih-Liang Chan (2017). A Gravity Model Integrating High-Speed Rail and Seismic-Hazard Mitigation through Land-Use Planning: Applications to California Development. Habitat International, 62, 51-61.
  • Na Chen and Gulsah Akar (2016). How do Socio-Demographics and Built Environment affect Individual Accessibility based on Activity Space? Evidence from Greater Cleveland, Ohio. Journal of Transport and Land Use, 10 (1), 477-503.
  • Na Chen and Gulsah Akar (2016). Effects of Neighborhood Types & Socio-Demographics on Activity Space. Journal of Transport Geography, 54, 112-121.
  • Chih-Hao Wang and Na Chen (2015). A GIS-Based Spatial Statistical Approach to Modeling Job Accessibility by Transportation Mode: Case Study of Columbus, Ohio. Journal of Transport Geography, 45, 1-11.
  • Gulsah Akar, Na Chen and Steve Gordon (2014). Influence of neighborhood types on trip distances: Spatial error models for Central Ohio. International Journal of Sustainable Transportation, 10 (3), 284-293.

Experience & Service

Work Experience

  • 04/01/2017 to 08/10/2017, Postdoctoral Scholar, University of California, Santa Cruz, Santa Cruz, CA, USA.