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Spatial data analytics of mobility with consumer data

Bibliographic Data

ID12293116
AuthorsM Birkin (0000-0001-5991-098X, University of Leeds, corresponding author)
Year2018
Volume76
Pages245-253
Publication date2018-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Transport Geography (JOURNAL)
Journal identifiersISSN: 0966-6923 • E-ISSN: 1873-1236
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.jtrangeo.2018.04.012
OpenAlexW2885176406
LanguageEN
Citations received5
References cited19

Consumer data arising from the interaction between customers and service providers are becoming ubiquitous. These data are appealing for research because they are frequently collected and quickly released; they cover a wide variety of attitudes, lifestyles and behavioural characteristics; and they are often dynamically replenished and longitudinal. It is demonstrated that consumer data can make important contributions to understanding problems in transport geography and in solving applied problems ranging from migration, infrastructure investment and retail service provision to commuting and individual mobility. However more effective exploitation of these data depends on the construction of bridges to allow greater freedom in the transfer of data from the commercial to the academic sector; it requires development of frameworks for privacy and ethics in the secondary use of personal data; and it is contingent on the emergence of effective strategies for the amelioration of selection bias which impairs the quality of many consumer data sources

Analytics · Big data · Business · Cover (algebra · Data aggregator · Data Analysis · Data mining · Data quality · Data science · Investment (military · Politics · Service (business · Service provider · Variety (cybernetics · Wireless sensor network · Computer Science · Data-Driven Disease Surveillance · Engineering · Human Mobility and Location-Based Analysis · Urban Transport and Accessibility · Marketing

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Unique citing works5
Citations per year0,63
Citation span2018 - 2025 (8)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 5

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