In this page, readers will be able to access information on the challenges related to the collection, analysis, and management of data from shared mobility applications, along with associated resources for overcoming these challenges. 

Shared mobility is “the shared use of a vehicle, motorcycle, scooter, bicycle, or other travel mode; it provides users with short-term access to a travel mode on an as-needed basis”. 1 The scope of shared mobility includes micromobility services, such as bikesharing and electric scooter services, as well as carsharing, micro-transit, Transportation Network Companies (TNCs), and traditional ride-hailing (taxi) services. Shared mobility services have grown rapidly within just a few years. They help solve the “last mile” problem by providing links to and from mass transit stations and can replace car trips. Shared mobility services can also substitute for walking and transit trips. Some shared mobility services can address longer trips, such as the use of micro-transit where there is insufficient demand for efficient use of fixed route transit, or car sharing services for occasional or periodic trips where a car is desirable.

When data from these providers are available, public agencies can use these data for operations, planning and analysis, and enforcement: 

  • Operations applications include vehicle utilization, vehicle caps, prohibited zones for operations or parking, and identifying under-served or over-served areas. 
  • Planning and Analysis applications use data to understand demand patterns for shared mobility, the physical infrastructure being used (e.g., for parking), routes being taken, the right price for curb space, and the relationship with transit stations.
  • Enforcement activities involve monitoring and auditing provider operations to ensure that both mobility providers and their customers comply with established regulations.

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Shared Mobility Data: A Resource Guide

Shared mobility is the shared use of vehicles to provides travelers with short-term access to a travel mode on an as-needed basis. Its scope includes micromobility services such as bikesharing and electric scooter services, as well as carsharing, micro-transit, paratransit, Transportation Network Companies (TNCs), and traditional ride-hailing (taxi) services. Shared mobility services have grown rapidly within the last few years. Just as some cities were taken by surprise by TNCs and struggled to put in place regulatory frameworks, the same has occurred with dockless bikes and scooters in many localities. There is a clear need for public agencies to have data to better understand how all these services fit into the overall transportation network. The purpose of this guide is to provide public sector agencies with curated reference material to help plan for, manage, and use shared mobility data.

Managing Sensitive Shared Mobility Data

Public agencies have a need to obtain data from shared mobility providers. Some of these data may be sensitive because they could reveal either personal details of users of the services or proprietary data, including trade secrets of the service providers. By implementing appropriate policies and procedures, agencies can appropriately protect sensitive data while using the appropriate data to meet their goals and objectives. Building on the information in the Shared Mobility Data: A Resource Guide, the purpose of the guide on Managing Sensitive Shared Mobility Data is to inform public agency managers and staff on issues relating to the protection of sensitive information that agencies may gather as part of their shared mobility programs.

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Urgent Privacy Concerns with City’s Decision to Collect Traveler Mobility Location Information

Two letters from the Center for Democracy and Technology, one to the Washington DC Department of Transportation (DDOT) and the other to the Los Angeles Department of Transportation, raising privacy issues and concerns with data provided using the Mobility Data Specification (MDS).

Objective-Driven Data Sharing for Transit Agencies in Mobility Partnerships

Objective-Driven Data Sharing for Transit Agencies in Mobility Partnerships is a 25-page white paper intended to support the decision-making of transit agencies that are considering implementing a Mobility on Demand (MOD) or similar integration with private mobility service providers, with a focus on data exchange requirements.

Uber Movement

Uber Movement is an initiative undertaken by Uber to publish data sets to aid cities in planning and management. The website provides access to download historical travel times, speeds, and movement data, as well as interactive visualizations, tutorials, and case studies.

Using Micro-Mobility Data to Drive Transportation Policy and Investments in Greater Boston

Using Micro-Mobility Data to Drive Transportation Policy and Investments in Greater Boston is a short article describing the dockless bike share program run by the Boston area Metropolitan Area Planning Council (MAPC) as well as the MAPC’s approach to data sharing with Lime, the bike share service provider.

Data Sharing Section of Minneapolis, Minnesota’s Licensing Agreement

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.

Open Mobility Foundation (OMF)

OMF is an open-source software foundation that creates a governance structure around open-source mobility tools, beginning with a focus on the Mobility Data Specification (MDS). By creating an open source foundation, OMF is able to offer a safe, efficient environment for stakeholders including municipalities, companies, technical, privacy, and policy experts, and the public to shape urban mobility management tools that help public agencies accomplish their mobility policy goals.