References

AuthorSermi, F.; Iacus, S.; Vespe, M.; Santamaria, C.; Spyratos, S.; Tarchi, D.
Pages46-47
References
Andersen, A. K., ‘Are commuting areas relevant for the delimitation of administrative re-
gions in denmark?’, Regional Studies, Vol. 36, No 8, 2002, pp. 833–844.
Ball, R., ‘The use and definition of travel-to-work areas in great britain: Some problems’,
Regional Studies, Vol. 14, No 2, 1980, pp. 125–139.
Casado-Díaz, J. M., ‘Local labour market areas in spain: A case study’, Regional Studies,
Vol. 34, No 9, 2000, pp. 843–856.
Csáji, B. C., Browet, A., Traag, V. A., Delvenne, J.-C., Huens, E., Van Dooren, P., Smoreda,
Z. and Blondel, V. D., ‘Exploring the mobility of mobile phone users’, Physica A: statistical
mechanics and its applications, Vol. 392, No 6, 2013, pp. 1459–1473.
Dijkstra, L., Poelman, H. and Veneri, P., ‘The eu-oecd definition of a functional urban area’,
2019. .
EDPB, ‘Guidelines 04/2020 on the use of location data and contact trac-
ing tools in the context of the covid-19 outbreak’, 04/2020. Avail-
able at https://edpb.europa.eu/our-work-tools/our- documents/linee-guida/
guidelines-042020-use- location-data-and- contact-tracing_en.
European Commission, ‘Commission recommendation (eu) on a common union toolbox for
the use of technology and data to combat and exit from the covid-19 crisis, in particular
concerning mobile applications and the use of anonymised mobility data, 2020/518’. 2020a.
http://data.europa.eu/eli/reco/2020/518/oj.
European Commission, ‘The joint european roadmap towards lifting covid-
19 containment measures’. 2020b. https://www.clustercollaboration.eu/news/
joint-european-roadmap- towards-lifting-covid- 19-containment-measures.
Eurostat, ‘Territorial typologies manual - cities, commuting zones and functional urban ar-
eas’, 2106. URL "https://bit.ly/3itCj0i".
Fekih, B. T. S. Z. e. a., M., ‘A data-driven approach for origin–destination matrix construc-
tion from cellular network signalling data: a case study of lyon region (france)’, Transporta-
tion, 2020. https://doi.org/10.1007/s11116- 020-10108-w.
Fred, A. L. and Jain, A. K., ‘Combining multiple clusterings using evidence accumulation’,
IEEE transactions on pattern analysis and machine intelligence, Vol. 27, No 6, 2005, pp.
835–850.
Gravilov, M., Anguelov, D., Indyk, P. and Motwani, R., ‘Mining the stock market: which
measure is the best?’, Proceedings of the 6th International Conference on Knowledge Dis-
covery and Data Mining, 2000, pp. 487–496.
Iacus, S. M., Santamaria, C., Sermi, F., Spyratos, S., Tarchi, D. and Vespe, M., ‘How human
mobility explains the initial spread of COVID-19, JRC121300’, 2020.
Jia, J. S., Lu, X., Yuan, Y., Xu, G., Jia, J. and Christakis, N. A., ‘Population flow drives
spatio-temporal distribution of COVID-19 in China’, Nature, Vol. tba, 2020, pp. 1–11.
Killer, V. and Axhausen, . W., ‘Mapping overlapping commuting-to-work areas’, Journal of
Maps, Vol. 6, No 1, 2010, pp. 147–159. URL "https://doi.org/10.4113/jom.2010.1072".
Kraemer, M. U., Yang, C.-H., Gutierrez, B., Wu, C.-H., Klein, B., Pigott, D. M., du Plessis, L.,
Faria, N. R., Li, R., Hanage, W. P. et al., ‘The effect of human mobility and control measures
on the covid-19 epidemic in china’, Science, Vol. 368, No 6490, 2020, pp. 493–497.
Mamei, B. N. L. M. e. a., M., ‘Evaluating origin–destination matrices obtained from cdr data’,
Sensors, Vol. 19, 2019, p. 1440.
Novak, J., Ahas, R., Aasa, A. and Silm, S., ‘Application of mobile phone location data in
mapping of commuting patterns and functional regionalization: a pilot study of estonia’,
Journal of Maps, Vol. 9, No 1, 2013, pp. 10–15. URL "https://doi.org/10.1080/17445647.
2012.762331".
46

To continue reading

Request your trial

VLEX uses login cookies to provide you with a better browsing experience. If you click on 'Accept' or continue browsing this site we consider that you accept our cookie policy. ACCEPT