A Movement Speeds Case Study

Authored By: Ohio-Kentucky-Indiana Regional Council of Governments

Uber Movement believes in applied research informing our product roadmap to empower planners and enable data-driven transportation planning. Learn how OKI leveraged Speeds data to measure outcomes of a traffic calming initiative in Cincinnati’s Northside business district.

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Northside, an eclectic neighborhood of Cincinnati with a thriving business district, had an unusually high number of pedestrian and bicycle accidents involving automobiles during 2015–2017. The business district, located along US 27 (Hamilton Avenue), is a four-lane road that sees more than 21,000 cars a day.

A crash in 2016 took the life of a much beloved business owner only feet from her restaurant’s front door on Hamilton Avenue. The incident prompted residents, upset by the lack of pedestrian safety in their neighborhood, to work with the Northside Community Council to develop strategies for improving safety along their business district. The group provided a list of safety measures to the Cincinnati City Council to implement in their neighborhood. …

On January 12th, 2018, the Pittsburgh area experienced major flooding due to a severe rainstorm. Major roads and freeways were flooded as commuters sat through longer travel times than normal. By visualizing Uber Movement data in kepler.gl, Uber’s newly open source geospatial analysis tool, we can visualize the impact of the rainfall on by comparing travel time from downtown Pittsburgh to all zone destinations to the same day a week before.

Figure 1 below shows travel times from zones of 12 or more minutes from downtown. The left map shows data from January 12th, while the right map visualizes times from January 5th, 2018 as a baseline comparison. This post breaks down how this visualization was made using kepler.gl …

This post is part of a series using Uber Movement to measure the impact of urban infrastructure projects and major events on traffic patterns. Uber Movement provides free and public access to travel times data averaged and aggregated by boundaries used by urban planners.

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Traffic during Dhanteras

Dhanteras is a Hindu festival, where devotees pray to the Goddess of Wealth, Lakshmi. It is an important festival in India, associated with prosperity and wealth of happiness, health and soul, and is celebrated two days before Diwali — the festival of lights. Traditionally, people buy precious metals, utensils, and give gifts to family members and friends and pray to Goddess Lakshmi for the health and happiness of their loved ones. As a result, during this period, roads and markets tend to get extremely congested, and the Government has had to invest significant resources to keep traffic under control. …

Uber Movement provides free and public access to travel times data averaged and aggregated by boundaries used by urban planners.

In March of 2018, Nairobi was pounded by a series of heavy rainstorms. The city experienced 15.5 centimeters of precipitation, 20% more than expected.¹ 4.9cm of that rain fell on March 6th alone, with a second major storm striking on the 15th and bringing an additional 2.9cm. Major roads were flooded, bringing business in the capital of Kenya to a halt. Bystanders were sharing pictures and videos of vehicles stranded on flooded roads. …

This post is the second in a series using Uber Movement to measure the impact of critical urban infrastructure closures. Uber Movement provides free and public access to travel times data averaged and aggregated by boundaries used by urban planners.

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In late 2016, London’s Tower Bridge was closed for three months to undergo critical maintenance. The iconic 120-year-old Victorian landmark hadn’t undergone refurbishment since 1970, and there was a clear need to repair and upgrade the bridge.

From 1 October to 30 December 2016, the bridge was closed to over 21,000 vehicles that use the bridge daily. In this post, we use data from Uber Movement to visualise and approximate the impact the Tower Bridge closure had on travel times throughout London. …

Movement takes the many Uber trips happening everyday and translates them into historical zone-to-zone travel time information. The granular travel time insights mean cities no longer have to commission resource intensive travel time studies to understand what’s happening on their streets. The data can be used for numerous transportation planning and policy projects, like identifying congestion trends, and measuring the impact of road closures and infrastructure improvements.

The positive reception Movement received across the world is a testament to its potential to help solve challenging mobility issues many cities are facing. However, as we bring Movement to more cities around the world, we’ve been thinking hard about other ways this data may come in handy. …

This post is the first in a series using Uber Movement to measure the impact of critical urban infrastructure closures. Movement includes data averaged and aggregated into zones useful to transportation planners. Such data allows for detailed studies of traffic movement and congestion within cities over both narrow and long time ranges.

Following an electrical fire in a subway tunnel, service on the DC Metrorail system was suspended for emergency inspections and repairs for the entirety of Wednesday, March 16th, 2016. Subsequently, WMATA announced the SafeTrack program, with 11 targeted maintenance “surges” in 2016 causing localized delays or shutdowns for up to a few weeks at a time. Since Metrorail served around 700,000 average weekday riders in 2015, such service disruptions were expected to lead to widespread effects across the DC region’s transportation networks. How can we better measure the impacts when critical urban infrastructure like Metrorail is disrupted? …

Produced for the Metropolitan Manila Development Authority, November 2016

Accurate and reliable transportation data is critical for monitoring the performance of a transportation system, identifying problems, and making informed planning decisions. However, data for transportation planning is traditionally difficult to find, expensive to collect, and limited to specific locations and time periods depending on needs. Advances in transportation technologies are creating new possibilities for measuring travel conditions in urban areas at a detailed scale, both geographically and over time. Uber is committed to working together with MMDA to understand how data generated from activity on the platform in Manila can be used toward understanding travel conditions throughout the metropolitan area and improving the quality and extent of data available to MMDA when responding to needs and planning for the future. …

In October 2016, Uber and Infrastructure Partnerships Australia (IPA) partnered to provide new insights on how our major cities move through the launch of the IPA Transport Metric, calculated entirely from Uber Movement data.

Uber and IPA leveraged Uber Movement to enable governments and the broader community to monitor the impact of planning and infrastructure decisions on real journey times in Melbourne, Sydney, Perth and Brisbane. Watch the video from the report’s release event here:

Read the Report

Originally published at movement.uber.com on October 1, 2016.


Uber Movement Team

Helping urban mobility through open data

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