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Research Articles

Daily commuting in the Bratislava metropolitan area: case study with mobile positioning data

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References

  • Adey, P. 2010. Mobility. Abingdon: Routledge.
  • Ahas, R., A. Aasa, U. Mark, T. Pae, and A. Kull. 2007. Seasonal tourism spaces in Estonia: Case study with mobile positioning data. Tourism Management 28 (3):898–910.
  • Ahas, R., A. Aasa, A. Roose, Ü. Mark, and S. Silm. 2008. Evaluating passive mobile positioning data for tourism surveys: An estonian case study. Tourism Management 29 (3):469–86.
  • Ahas, R., A. Aasa, S. Silm, and M. Tiru. 2007. Mobile positioning data in tourism studies and monitoring: Case study in Tartu, Estonia. In Computer science: Information and communication technologies in tourism, eds. M. Sigala, L. Mich, & J. Murphy, 119–128. Vienna: Springer.
  • Ahas, R., A. Aasa, Y. Yuan, M. Raubal, Z. Smoreda, Y. Liu, C. Ziemlicki, M. Tiru, and M. Zook. 2015. Everyday space–time geographies: Using mobile phone-based sensor data to monitor urban activity in harbin, paris, and tallinn. International Journal of Geographical Information Science 29:2017–2039 doi: 10.1080/13658816.2015.1063151
  • Ahas, R., S. Silm, O. Järv, E. Saluveer, and M. Tiru. 2010. Using mobile positioning data to model locations meaningful to users of mobile phones. Journal of Urban Technology 17(1):3–27.
  • Ahas, R., and Ü. Mark. 2005. Location based services – new challenges for planning and public administration? Futures 37(6):s. 547–561.
  • Ahas, R., S. Silm, E. Saluveer, and O. Järv. 2009. Modelling home and work locations of populations using passive mobile positioning data. In Location based services and TeleCartography II, eds. G. Gartner and K. Rehrl, 301–315. Berlin: Springer.
  • Alexander, L., S. Jiang, M. Murga, and M. González. 2015. Origin–destination trips by purpose and time of day inferred from mobile phone data. Transportation Research Part C 58:240–50.
  • Arribas-Bel, D. 2014. Accidental, open and everywhere: Emerging data sources for the understanding of cities. Applied Geography 49:45–53.
  • Batty, M. 2003. Unwired cities. Environment and Planning B: Planning and Design 30 (6):797–8.
  • Calabrese, F., M. Colonna, P. Lovisolo, D. Parata, and C. Ratti. 2007. Real-time urban monitoring using cell phones: A case study in rome. IEEE Transactions on Intelligent Transportation Systems 12(1):141–51.
  • Couclelis, H., R. G. Golledge, N. Gale, and W. Tobler. 1987. Exploring the anchor-point hypothesis of spatial cognition. Journal of Environmental Psychology 7(2):99–122.
  • Cresswell, T. 2006. On the move: Mobility in the modern Western world. New York: Routledge.
  • Csáji, B. C., A. Browet, V. A. Traag, J.-C. Delvenne, E. Huens, P. Van Dooren, Z. Smoreda, and V. D. Blondel. 2013. Exploring the mobility of mobile phone users. Physica A: Statistical Mechanics and Its Applications 392 (6):1459–73.
  • Frattasi, S., and F. Della Rosa. 2017. Mobile positioning and tracking: From conventional to cooperative techniques. Hoboken, NJ: John Wiley & Sons.
  • Golledge, R. G., and A. Spector. 1978. Comprehending the urban environment: Theory and practice. Geographical Analysis 10 (4):403–26.
  • Gonzalez, M. C., C. A. Hidalgo, and A.-L. Barabasi. 2008. Understanding individual human mobility patterns. Nature 453 (7196):779–82.
  • Huang, W., Z. Dong, N. Zhao, H. Tian, G. Song, and G. Chen. 2010. Anchor points seeking of large urban crowd based on the mobile billing data. Advanced data mining and applications. Lecture Notes in Computer Science 6440:346–57.
  • Kährik, A., K. Leetmaa, and T. Tammaru. 2012. Residential decision-making and satisfaction among new suburbanites in the tallinn urban region, Estonia. Cities 29 (1):49–58.
  • Krisjane, Z., M. Berzins, A. Ivlevs, and A. Bauls. 2012. Who are the typical commuters in the post-socialist metropolis? The case of Riga, Latvia. Cities 29 (5):334–40.
  • Market Locator. 2017. Depersonalized dataset with a sample of 191,404 mobile phone users. Mobile localization data of Slovak Telekom network.
  • Novák, J., R. Ahas, A. Aasa, and S. Silm. 2013. Application of mobile phone location data in mapping of commuting patterns and functional regionalization: A pilot study of Estonia. Journal of Maps 9 (1):10–5.
  • Nurmi, P., and J. Koolwaaij. 2006. Identifying meaningful locations. Paper presented at 3rd annual international conference on mobile and ubiquitous systems: Networks and Services (MobiQuitous). SanJose, CA.
  • Palmer, J. R. B., T. J. Espenshade, F. Bartumeus, C. Y. Chung, N. E. Ozgencil, and K. Li. 2013. New approaches to human mobility: Using mobile phones for demographic research. Demography 50 (3):1105–28.
  • Ratti, C., D. Frenchman, R. M. Pulselli, and S. Williams. 2006. Mobile landscapes: using location data from cell phones for urban analysis. Environment and Planning B: Planning and Design 33 (5):727–48.
  • Ratti, C., A. Sevtsuk, S. Huang, and R. Pailer. 2005. Mobile landscapes: Graz in real time. Cambridge, MA: MIT Publication.
  • Reades, J., F. Calabrese, A. Sevtsuk, and C. Ratti. 2007. Cellular census: Explorations in urban data collection. IEEE Pervasive computing 6 (3):30–38.
  • Slovak Road Administration. 2015. Annual average daily traffic of personal vehicles in the Bratislava Region
  • Song, C., Z. Qu, N. Blumm, and A.-L. Barabási. 2010. Limits of predictability in human mobility. Science (New York, N.Y.) 327 (5968):1018–21.
  • Spinney, J. E. 2003. Mobile positioning and LBS applications. Geography 88 (4):256–65.
  • Statistical Office of the Slovak Republic. 2017. Migration and Dwelling Construction in the period 2000–2017.
  • Steenbruggen, J., E. Tranos, and P. Nijkamp. 2015. Data from mobile phone operators: A tool for smarter cities? Telecommunications Policy 39 (3–4):335–46.
  • Šveda, M., M. Madajová, and P. Podolák. 2016. Behind the differentiation of suburban development in the hinterland of Bratislava, Slovakia. Czech Sociological Review 52 (6):893–926.
  • Šveda, M., and P. Podolák. 2014. The phenomenon of incomplete migration records in a suburban zone: The case of Bratislava hinterland. Geografický Časopis/Geographical Journal 66:115–32.
  • Szelényi, I. 1996. Cities under socialism—and after. In Cities after socialism, eds. G. Andrusz, M. Harloe, I. Szelényi, 286–317. Oxford: Blackwell.
  • Toole, J., S. Colak, B. Sturt, L. Alexander, A. Evsukoff, and M. González. 2015. The path most traveled: Travel demand estimation using big data resources. Transportation Research Part C 58:162–77.
  • Yoo, B., S. Kang, K. Chon, and S. Kim. 2005. Origin–destination estimation using cellular phone BS information. Journal of the Eastern Asia Society for Transportation Studies 6:2574–88.
  • Zhao, Y. 2002. Standardization of mobile phone positioning for 3G systems. IEEE – Communications Magazine 40 (7):108–16.

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