Technology Review for Complete Streets Data Collection

Complete streets ensure that all motorists, cyclists, transit riders, pedestrians, wheelchair users, and other travelers have equal access to transportation facilities. They improve safety, lower carbon emissions, encourage exercise, and enhance quality of life. To implement complete streets on a network level, transportation agencies are in the process of finding cost-effective methods for inventory and assessment. Efficient data collection is needed to support the development of a robust asset management plan. Thus, there is a need for a technology review. The objectives of this paper are to identify and categorize complete street features and attributes that are essential for complete street asset management, to comprehensively review the technologies that have been explored for complete street data collection, to critically assess and identify the challenges and needs of technologies for complete street data collection, their implementation status, and their strengths and limitations for specific complete street feature/attribute data collection, to survey the cost and maturity of implementation for the promising technologies, and to provide recommendations for pilot studies to improve data collection, data processing, and data analysis based on the current gaps. It was found that LiDAR, 3D laser, smart phones, and satellite imaging are some of the most promising technologies. Of the three categories of attributes (presence, quality, and utilization), it was found that measuring presence is easier than collecting data about quality and utilization, and thus those should be the key areas for development moving forward.

• Record URL:
  https://annualmeeting.mytrb.org/OnlineProgram/Details/15465
• Supplemental Notes:
  • This paper was sponsored by TRB committee AED20 Standing Committee on Urban Transportation Data and Information Systems.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Chen, Qiuhan
  • Steele, Ariel
  • Tsai, Yi-Chang (James)
• Conference:
  • Transportation Research Board 100th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2021-1-5 to 2021-1-29
• Date: 2021

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 28p

Subject/Index Terms

• TRT Terms: Artificial satellites; Asset management; Cameras; Complete streets; Data collection; Imagery; Laser radar; Lasers; Smartphones
• Subject Areas: Data and Information Technology; Highways; Pedestrians and Bicyclists; Public Transportation;

Filing Info

• Accession Number: 01764963
• Record Type: Publication
• Report/Paper Numbers: TRBAM-21-04351
• Files: TRIS, TRB, ATRI
• Created Date: Feb 17 2021 7:23PM