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Glasgow City Averaged OD matrices 2019-2023
No full textOverview:
Averaged Origin-Destination (OD) Matrices for Glasgow City provides information about the percentage of average number of trips between different origins and destinations in the city across 5 years (2019 – 2023). Before generating the final OD matrices, the detected and weighted trips were averaged across 5 years to mitigate any event or season-based biases. Location data from mobile phone apps aggregated by Huq Industries was used to derive OD Matrices and these are an UBDC derivative product of Huq dataset.
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 MSOA/Intermediate Zone (IZ) in the city.
• Applying weights based on the user’s home location MSOA/Intermediate Zone and their activity status in the dataset.
• Aggregating the number of trips between each origin-destination pair.
To validate the methodology, two types of validations were carried out:
1. Internal Validation: this focuses on examining the dataset’s internal consistency and logical patterns. It involves a series of checks, comparisons, descriptive statistics, and visualizations within the dataset itself. The aim is to ensure that the data is coherent, free of anomalies, and the results align closely to expected outcomes. Key aspects of internal validation include:
a. Consistency Checks: Verifying that the data values are within logical and expected ranges. For example, ensuring all percentages values are between 0 and 100.
b. Descriptive Statistics: Generating summary statistics such as mean, median, standard deviation, and percentiles to understand the distribution and central tendencies of the data.
c. Visualisations: Using plots and maps to visually inspect patterns and detect any inconsistencies or unusual outcomes.
These checks help ensure that the OD matrices are internally consistent and reflect realistic travel behaviour within each city.
2. External validation: it involves comparing the OD matrix outputs with reliable external datasets to evaluate their accuracy and reliability. This step is essential for verifying the results derived from mobile phone app data aligning with established data sources and known patterns of urban mobility. The external validation process includes:
a. Benchmarking against external datasets: Comparing the observed results with credible external data sources such as Scottish Household Survey to validate travel patterns and behaviours observed in Glasgow and Edinburgh.
Through external validation, the OD matrices’ credibility is enhanced by demonstrating that the observed patterns are consistent with real-world data and established urban mobility trends.
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. 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 geographic coverage across the UK. It has a time coverage of 5 years from 2019 to 2023.
Access and restrictions:
Averaged Origin-Destination (OD) Matrices are available for non-commercial academic research use only. The data is available to request as Safeguarded data under UBDC's End User Licence.
More information:
• Guide to Origin-Destination Matrix Dataset. This dataset offers an Origin-Destination (OD) matrix that shows the percentage of number of trips going from each origin to each destination from app-based location data for the Glasgow region, UK. OD matrix is an n×m matrix where n is the number of “origins”, m is the number of “destination” locations, and Tij is the number of objects travelling from i to j.
• Other related outputs: https://www.ubdc.ac.uk/news/data-for-insights-into-mobilit
Not going to University: context based rationality, with links to social class and rural location in the career decision-making of school leavers in Scotland
Full text linkThis data set underpins the primary research for my PhD. It includes interview transcriptions, survey data as well as the coded interviews
The effects of a product of the solid-state fermentation of Aspergillus niger on in sacco degradation of feeds and rumen volatile fatty acid production in dairy cattle.
Full text linkThis dataset is the primary data collected from an in sacco experiment measuring the effects of a fungal product on rumen fermentation variables in dairy cattle
Public Transport Availability Indicators (PTAI) 2016
No full textOverview:
Public Transport Availability Indicators (PTAI) 2016 is a key dataset relevant to urban analytics studies. The transport dataset contains public transport availability (PTA) indicators at both the stop/station and small-area levels: lower layer super output area (LSOA) and middle layer super output area (MSOA). It was one of three new forms of key datasets relevant to urban analytics studies produced by Urban Big Data Centre. The employment dataset provides information on the number of people with access to employment within specific distances from each output area. The housing datasets contains quarterly house rent and sales prices aggregated at output area level (MSOA).
Value of the data:
• Data provides country-wide urban area metrics (public transport availability (PTA), Housing, and Employment access) at small-area levels as well as stop/station-level (for PTA, based on service frequency and service area).
• The new urban area metrics can be used to study spatial and social inequalities in various facets of the urban areas (transport access, rental market dynamics, access to jobs, educational deprivation), and further estimate health, job, and educational outcomes of populations living in deprived areas (e.g. poor public transport services) see Anejionu et al. (2019).
• The data can also be used to compare impacts of policies, industrial and structural changes on intra-city dynamics across the entire country.
• Data provides increased frequency of assessing and tracking changes in critical aspects of the urban area (housing rent prices fluctuations, spatial inequalities in PTA etc.) compared to decennial census or national survey datasets.
• Longitudinal datasets can be used for in monitoring intra- and inter- annual spatiotemporal changes in the urban area with high level of spatial precision.
Dataset:
The transport data offers public transport availability indicators at both the stop/station and small area levels across Great Britain (England, Wales and Scotland). Specifically, we offer stop-level public transport availability data “GB_STOP_PTAI_2016.csv”, LSOA-level public transport availability data “GB_LSOA_PTAI_2016.csv”, and MSOA-level public transport availability data “GB_MSOA_PTAI_2016.csv”. Additionally, these data also include the LSOA and MSOA boundaries across Great Britain (“GB_LSOA_2011” and “GB_MSOA_2011”).
Access and restrictions:
UBDC's licence agreement provides access for conducting non-commercial research. To use the data, researchers need to apply to UBDC setting out a summary of the work they plan to undertake so that the usage can be assessed against these criteria. Please apply to UBDC. If the intended use falls within the terms of the licence, researchers will be asked to sign an End User Licence agreement. Datasets will be shared with eligible applicants on receipt of completed license agreements.
More information:
Great Britain Transport, Housing, and Employment Access Datasets for small-area Urban Area Analytics
October 2019Data in Brief 27:104616
DOI:10.1016/j.dib.2019.104616
LicenseCC BY 4.0
https://www.doi.org/10.1016/j.dib.2019.104616
A variety of raw data used to produce some of the datasets (e.g. PTA) is also included to enable interested readers to reproduce them
Encountering Windows and Mirrors in the Diaspora: Using Young Adult literature to explore the stories and counterstories of Asian American and British ESEA young people
Full text linkThe dataset provided is a qualitative record of the discussions conducted by participants in an online, asychronous book club. Participants read and discussed two novels – If You Still Recognise Me by Cynthia So and The Silence that Binds Us by Joanna Ho – and recorded their thoughts in Padlet, an online note-taking tool. One discussion also took place over Zoom. The dataset consists of four excel spreadsheets:
1. Pseudonymised participant demographic information
2. The text from the participants’ introductory posts on Padlet
3. The text of the novel discussion of If You Still Recognise Me, broken up by 4 chapter sections
4. The text of the novel discussion of The Silence that Binds Us, broken up by 4 chapter sections and smaller sub-sections as appropriate
Exploring Adults’ Experiences of Treatment for Tourette Syndrome and Tic Disorders
Full text linkTranscripts from interview
Dataset for An angular dispersion-free resonant metasurface for quantum photon pair generation
No full textThe dataset includes the original simulation data for the paper published in EPJ Applied Metamaterial.
It focused on the band diagram and the quality factor calculation as well as the plotting scripts using MATLAB
IAA-Based Radar Micro-Doppler Signatures of Human Activities
Full text linkMicro-Doppler signatures using STFT and IA
1,2,5,6-Tetrathiocin as a scaffold for improved charge transport in double-cable oligothiophene systems
No full textThe dataset contains experimental data for the article entitled “1,2,5,6-Tetrathiocin as a scaffold for improved charge transport in double-cable oligothiophene systems”. This includes characterisation (NMR, mass spectrometry, elemental analysis) of molecules synthesised, UV/vis abosprtion, cyclic voltammetry, differential scanning calorimetry, thermal gravimetric analysis and bottom-gate, bottom-contact organic field-effect transistor measurements
Human Rhinovirus 16 represses phosphorylation of SR proteins and regulates alternative splicing of host cilia RNAs
Full text linkExcel and Prism datasheets containing the underlying data for graphs in the manuscript