Abstract
From the executive summary:
This document:
- Identifies common measures of roadway congestion;
- Discusses factors that contribute to roadway to congestion; and
- Quantifies the relative contributions of different factors, including population, employment, road network changes and TNCs, to observed changes in congestion in San Francisco between 2010 and 2016, by location and time of day.
The report utilizes a unique TNC trip dataset provided to the Transportation Authority by researchers from Northeastern University in late 2016, as well as INRIX data, a commercial dataset which combines several real-time GPS monitoring sources with data from highway performance monitoring systems. These data are augmented with information on network changes, population changes, and employment changes provided by local and regional planning agencies, which are used as input to the Transportation Authority’s activity-based regional travel demand model SF-CHAMP.
Publication Date
10-2018
Related Content
Data files for this research are available as the additional files listed at the end of this record.
Click here to access a dynamic map of TNCs and Congestion.
Repository Citation
Castiglione, Joe; Cooper, Drew; Sana, Bhargava; Tischler, Dan; Chang, Tilly; Erhardt, Gregory D.; Roy, Sneha; Chen, Mei; and Mucci, Alex, "TNCs & Congestion" (2018). Civil Engineering Reports. 1.
https://uknowledge.uky.edu/ce_reports/1
Data dictionary
ESTFILE_2010.csv (1392 kB)
Dataset 2010
ESTFILE_2016.csv (1605 kB)
Dataset 2016
Notes/Citation Information
This report was published by the San Francisco County Transportation Authority and is also available here.
The San Francisco County Transportation Authority has granted the permission for posting the report on UKnowledge.