The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Accessibility of cities in the digital economy
Abstract
This paper introduces a new measure to approach the accessibility of places in the frame of the digital economy. Information and Communication Technologies (ICTs) and the Internet are not equally spread around places and this heterogeneity affects spatial configuration. Despite the wide societal changes due to ICTs and the extensive interest in accessibility studies, these two themes have not yet come together in order to study the digital accessibility (DA) of places. Adopting an infrastructural perspective and a potential accessibility framework, a DA measure – embedding different types of impedance distance functions – is calculated for cities in Europe. Spatial Interaction Model and Complex Network Analysis are employed to calibrate and validate the DA results. The outcome of this approach is a new urban hierarchy which reveals a core-periphery pattern in Europe owing to digital accessibility.
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Power laws in citation distributions: evidence from Scopus
Brzezinski, M. (2015) · Scientometrics · doi:10.1007/s11192-014-1524-z · Cited by 196
Analytical sociology and computational social science
Keuschnigg, M., Lovsjö, N., & Hedström, P. (2018) · Journal of Computational Social Science · doi:10.1007/s42001-017-0006-5 · Cited by 90
Discovering Opinion Spammer Groups by Network Footprints
Ye, J., & Akoglu, L. (2015) · Proceedings of the 2015 ACM on Conference on Online Social Networks · doi:10.1145/2817946.2820606 · Cited by 84
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Metadata
- Authors
- Tranos, E., Reggiani, A., & Nijkamp, P.
- Venue
- Cities
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 30
- Pages
- 59-67
- ISSN
- 0264-2751 (ISSN-L)
- OpenAlex
- W2141499038
- Cited by
- 580
- References
- 55
- FWCI
- 356.90
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.