Information Producers, Information Consumers : Location Data Privacy in Institutional Settings

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MaaS surveillance : Privacy considerations in mobility as a service

Funding Information: König, D., Eckhardt, J., Aapaoja, A., Sochor, J.L., Karlsson, M., 2016. Deliverable 3: Business and operator models for MaaS. MAASiFiE project funded by CEDR. Submitted to: CEDR Conference of European Directors of Roads. Publisher Copyright: © 2019 Copyright: Copyright 2020 Elsevier B.V., All rights reserved.Peer reviewedPostprin

Guiding development : an analysis of zoning and four alternatives

The purpose of this thesis was to examine the benefits and weaknesses of traditional zoning as they pertain to guiding urban development. This analysis was followed with an evaluation of the strengths and weaknesses of four alternatives to traditional zoning to determine in what ways they mitigated the negative effects of zoning while maintaining its beneficial aspects. Based upon these evaluations, a decision matrix was created to provide for a concurrent examination of the ways in which each technique was successful in serving the purposes of the criteria. Finally a set of recommendations was provided to improve the regulatory guidance of urban form

'Two-speed' Scotland : patterns and implications of the digital divide in contemporary Scotland

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Privacy in context : an evaluation of policy-based approaches to location privacy protection

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Modelling Cyclists Route Choice Using Strava and OSMnx : A Case Study of the City of Glasgow

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.Peer reviewedPublisher PD

Urban services, pedestrian networks and behaviors to measure elderly accessibility

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Location Privacy Preferences : A Survey-Based Analysis of Consumer Awareness, Trade-off and Decision-Making

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Accounting for Spatial Heterogeneity Using Crowdsourced Data

Acknowledgments The authors would like to acknowledge the following data source: Strava Inc. Economic and Social Research Council. Strava Metro data - Scotland, Glasgow, Manchester, Tyne and Wear [data collection]. University of Glasgow - Urban Big Data Centre.Peer reviewedPublisher PD

Data and digital systems for UK transport: change and its implications

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