Analyzing Trends In 2015 Holiday Travel Conditions

Uber Movement Team
Nov 16, 2016 · 5 min read

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 this post we present results of an initiative to capture data from Uber trips and apply it toward gathering insights into travel conditions in Manila during the 2015 holiday season, focusing on five areas that are known to be popular origins and destinations for Manila travelers, as shown in the map below.

Fig 1. Origin and Destination Zones

The examples that follow demonstrate potential ways this data can be used to gather mobility insights during a period that has historically experienced an increase in travel demand that impacts travel conditions throughout the metropolitan area. While these are basic examples, we anticipate this data can be applied toward a wide range of applications, from assessing the performance of the road network to informing traffic management strategies.

Example #1: Travel times between Timog and Makati CBD during commute hours strongly indicate an increase in traffic volume and travel time during the holidays

Fig 2. Commute Hour Travel Times Between Timog and Makati CBD

Example #2: Travel Times to Ninoy Aquino International Airport (NAIA)

Fig 3. Average Travel Times to the Airport by Zone in December 2015

Example #3: Travel Times To and From Shopping Destinations

Fig 4. Average Weekly Travel Times (Minutes) Between Makati CBD and Ortigas Center
Fig 5. Average Weekly Travel Times (Minutes) Between Makati CBD and North Avenue

Originally published at movement.uber.com on November 16, 2016.

Uber Movement

Uber Movement provides anonymized data from over ten…

Uber Movement

Uber Movement provides anonymized data from over ten billion trips to help urban planning around the world

Uber Movement Team

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Helping urban mobility through open data

Uber Movement

Uber Movement provides anonymized data from over ten billion trips to help urban planning around the world