Replies: 3 comments 5 replies
-
For Activity, the WB Data Lab introduced an exploratory analysis in the Türkiye Earthquake Impact. |
Beta Was this translation helpful? Give feedback.
-
For the Lebanon Economic Monitor, the WB Data Lab is carrying out an exploratory analysis in leveraging mobility data to estimate population-related metrics. See also: datapartnership/lebanon-economic-monitor#2. |
Beta Was this translation helpful? Give feedback.
-
Hello @g4brielvs. Just joined the Development Data Partnership and very excited to get started! Thank you for setting up this conversation! I guess the resource you are pointing to (https://docs.datapartnership.org/collections/mobility/README.html) is only available after login with SSO on the portal and not here on Github, right? A side node: looks useful to have this forum, I like the idea! Thank you in advance for your reply! Best regards, |
Beta Was this translation helpful? Give feedback.
-
With the popularization of smartphone usage and connectivity across the world, the last decade has witnessed the emergence of massive mobility datasets, such call detail records, geo-tagged posts from social media platforms and generated from GPS devices. These datasets have propelled rich scientific production on various applications of mobility analysis, ranging from epidemiology to disaster resilience, urban planning and transportation engineering.
Through the Development Data Partnership, Development Partners have access to high-frequency location-based mobility data, constituted of high temporal and spatial resolution timestamped geographical points generated by GPS-enabled devices.
Examples
Ideas
To better support Development Partners, the Development Data Partnership will devise and maintain the methodologies/data products to facilitate the use of geolocation by project teams in global development.
Activity
Similarly to COVID-19 Community Mobility Reports, Facebook Population During Crisis and Mapbox Movement Data, we generate a series of crisis-relevant metrics, including the baseline device count (sampled population), percent change and z-score. The metrics are calculated by counting devices drawn out from a mobility data panel in each tile and at each time period and comparing to a baseline period.
Corridors
Points-of-Interest Visits
Beta Was this translation helpful? Give feedback.
All reactions