| Bibliography |
Author details Journal DOI or URL Year of publication
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| Study characteristics |
Title Main objective Type (eg, a research paper, website, conference proceedings) Study design (eg, cross-sectional, longitudinal) Main objective
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| Study area |
Geographical location of study (country(ies), world region(s)) Urbanicity (whether, urban, rural or both) Population for which access metric was computed (eg, children) Unit of analysis such as district, census tract
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| Big data characteristics (multiple per study or website possible) |
Name of the big data provider, for example Google Big data source for example crowdsourced, GPS probes, satellite imagery Big data warehousers (if any) Data elements (eg, speeds, travel time, GPS locations, geolocated tweets, and other quantitative characteristics that can be used to compute accessibility) Data type: for example, tables, JSON, XML, text, images, video Geographical coverage Resolution (temporal and spatial) Date and location of collection Update frequency (eg, real time, static or delayed) Method of access (eg, downloading, API, web service, etc) Methods of collection (eg, smartphones or crowd sourcing, remote sensing) Cost (if applicable) of the data Licensing/terms of use: restrictions on commercial or derivative use Quality indicators (eg, % missing data) Last update
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| Big data services (multiple per study or website possible) |
Service name Provider/owner: organisation or company offering the service. Domain/scope: the area of data it covers (eg, geospatial, social media). Documentation availability Authentication/authorisation (API keys, OAuth, open access.) Rate limits (requests per second/day, throttling policies) Data access models (from free/open-access to freemium to paid/subscription) Cost if applicable (in case of paid/subscription models) Latency: average response time Language support (such as Python, R, Java, etc.)
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Methods (if applicable)
multiple possible |
Transportation mode considered such as walking Service to which access was computed, for example, education, healthcare Accessibility metrics derived such as travel time, distance Methods or approaches used to compute the accessibility metric with the big data retrieved Software, tools or programmes used to process the retrieved big data to get accessibility metric
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Final summary (if applicable)
free text form |
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