Glasgow Origin-Destination (OD) Matrices 2019-2022

Urban Big Data Centre, , Huq, and Awan, F. M. (2025) Glasgow Origin-Destination (OD) Matrices 2019-2022. [Data Collection]

Datacite DOI: 10.20394/t1adlw71
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Collection description

Overview

Origin-Destination (OD) Matrices is an UBDC derivative product of Huq dataset. This provides information about the number of trips between different origins and destinations in the Glasgow City Region. E Location data from mobile phone apps aggregated by Huq Industries was used to derive OD Matrices. Calculating OD Matrices from the mobile phone app data involved the following steps:
• Filtering out inaccurate and imprecise GPS points.
• Estimating stay locations using time and distance thresholds. A stay location is detected if a user spent at least 5 minutes in a 500m radius area.
• Extraction of trips between stay locations.
• Associating each detected stay location with an Intermediate Zone (IZ) in the Glasgow City Region.
• Applying weights based on the user’s home location Intermediate Zone and their activity status in the dataset.
• Aggregating the number of trips between each origin-destination pair.
To validate the methodology, the output OD product was compared with the OD matrix derived from the Scottish Household Survey. This comparison, based on the percentage of trips between local authorities in the Glasgow City Region, demonstrated a high correlation score (0.99) and a low mean squared error (0.0011).

Huq dataset

Huq is a mobile phone app dataset. The app collects real-time, anonymised location data from users' smartphones, based on the use of a range of smart phone applications. This dataset offers researchers insights into human mobility patterns and behaviour. Researchers can leverage this data to study consumer trends, urban planning, and the impact of events on people's movements, amongst other applications. With a coverage of around 0.7% of the population and granular location information, Huq data offers the potential to understand changing societal dynamics and make data-driven decisions across various fields, from retail and transportation to public health and urban development. The data has a geographic coverage across Glasgow City Region. It has a time coverage of 5 years from 2019 to 2023.

Funding:
College / School: College of Social Sciences > School of Social and Political Sciences > Urban Studies
Date Deposited: 27 Mar 2025 09:01
Related resources:
URI: https://researchdata.gla.ac.uk/id/eprint/1889

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Urban Big Data Centre, , Huq, and Awan, F. M. (2025); Glasgow Origin-Destination (OD) Matrices 2019-2022

University of Glasgow

DOI: 10.20394/t1adlw71

Retrieved: 2025-04-27