This document lays out the data reporting requirements that must be followed by shared micromobility operators in Minneapolis’ 2021 pilot program. It lays out the requirements for operators to provide APIs for MDS and GBFS data feeds and for the operator to conduct two customer surveys using questions provided by the city.
DataSF is an open data sharing and analysis platform for the city of San Francisco containing over 500 datasets, many of which can be directly relevant to transportation applications.
The Nevada Department of Transportation sponsored a project to benchmark its TIM data practices against the practices of other leading states and against the NCHRP Project 07-20 guidance.
Dockless Open Data is a short technical guide from the city of Louisville, KY covering “how and why cities can convert MDS trip data to anonymized open data, while respecting rider privacy.”
Geospatial data collaboration helps agencies save time on highway projects by making tools, data, and maps available on the Web. This shared access can improve the efficiency of working relationships among agency stakeholders, simplify data distribution among project participants, and enhance or streamline information flow for environmental and other processes.
Crowdsourcing turns transportation system users into real-time sensors on system performance, providing low-cost, high-quality data on traffic operations, roadway conditions, travel patterns, and more. When combined with traditional data, crowdsourcing helps agencies implement proactive strategies that improve incident detection, traffic signal retiming, road weather management, traveler information, and other operational programs.
Traffic Incident Management (TIM) programs aim to shorten the duration and impact of roadway incidents and improve the safety of motorists, crash victims, and responders. New tools, data, and training mechanisms are available that can benefit both new and existing TIM programs, including local agency and off-interstate applications.
Effectively Managing Connected Mobility Marketplaces is a 23-page white paper recommending the implementation of data-driven investment and data-driven regulatory policies for mobility. Written by two authors at the Harvard Kennedy School of Government.
A systematic review of 47 contemporary research papers related to the use of novel data sources in public transportation planning. There is particular focus on assessing the usability, strengths, and weaknesses of different emerging big data sources.