Understanding GPS and Mobile Phone Data for Origin-Destination Analysis

Details

• Creators:
  Chen, Cynthia ; Ban, Xuegang (Jeff) ; Wang, Feilong ; Wang, Jingxing ; Siddique, Choudhury ; Fan, Rong ; Lee, Jaehun
• Corporate Creators:
  United States. Federal Highway Administration
• Contributors:
  Sun, Sarah
• Corporate Contributors:
  University of Washington. Department of Civil and Environmental Engineering
• Subject/TRT Terms:
  • Origin and destination
  • Global Positioning System
  • Data collection
  • Data analysis
  • Travel demand
  • Trip matrices Big Data
  • Mobile Phone Data
  • GPS Data
  • Data Representativeness
  • Origin Destination Demand Matrices
• Publication/ Report Number:
  FHWA-HEP-19-027
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Contracting Officer:
  Sun, Sarah
• Corporate Publisher:
  United States. Federal Highway Administration
• Abstract:
  Emerging datasets such as mobile phone and GPS data have now become a promising data source for many transportation planning applications, including origin-destination (OD) analyses, which serve as the basis for transportation investment and policy decisions. Generated from an entirely different process from the traditional household travel surveys, these datasets possess many characteristics that together can affect the accuracy and representativeness of the derived results such as OD matrices greatly. The aim of this report is not to develop methods for OD analysis but to gain a thorough understanding of such emerging datasets. Two datasets are studied in the study: a mobile phone dataset and a GPS dataset. The study results demonstrate the many different characteristics possessed by the two and their implications for OD analysis are discussed.
• Format:
  PDF
• Funding:
  DTFH61-12-D-00013
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/55805/dot_55805_DS1.pdf
• File Type:
  [PDF - 5.64 MB]
• Collection(s):
  Federal Highway Administration
• Main Document Checksum:
  urn:sha-512:a36e81efd7ba24fa44b1f567f9dae3764936e036bfd0401015210966316b44d706937c3821221c312cab64178b8462893f71db5674fee90cb2c8bc0fa3ff5c6b