1. bookVolume 28 (2020): Issue 4 (December 2020)
Journal Details
First Published
30 Jul 2013
Publication timeframe
4 times per year
Open Access

Travel diaries, GPS loggers and Smartphone applications in mapping the daily mobility patterns of students in an urban environment

Published Online: 31 Dec 2020
Volume & Issue: Volume 28 (2020) - Issue 4 (December 2020)
Page range: 259 - 268
Received: 30 Aug 2019
Accepted: 20 Aug 2020
Journal Details
First Published
30 Jul 2013
Publication timeframe
4 times per year

ABDULAZIM, T., ABDELGAWAD, H., HABIB, K., ABDULHAI, B. (2013). Using Smartphones and Sensor Technologies to Automate Collection of Travel Data. Transportation Research Record, 2383(1): 44–52.Search in Google Scholar

ADEY, P. (2017): Mobility. London, Routledge.10.4324/9781315669298Search in Google Scholar

ANDERSON, J. (1971): Space-Time Budgets and Activity Studies in Urban Geography and Planning. Environment and Planning A: Economy and Space, 3(4): 353–368.10.1068/a030353Search in Google Scholar

BOHTE, W., MAAT, K. (2009): Deriving and validating trip purposes and travel modes for multi-day GPSbased travel surveys: A large-scale application in the Netherlands. Transportation Research Part C: Emerging Technologies, 17(3): 285–297.10.1016/j.trc.2008.11.004Search in Google Scholar

CALABRESE, F., DIAO, M., DI LORENZO, G., FERREIRA, J., RATTI, C. (2013): Understanding individual mobility patterns from urban sensing data: A mobile phone trace example. Transportation Research Part C: Emerging Technologies, 26: 301–313.10.1016/j.trc.2012.09.009Search in Google Scholar

CRESSWELL, T. (2006): On the Move: Mobility in the Modern Western World. Abingdon, Routledge.Search in Google Scholar

DRAIJER, G., KALFS, N., PERDOK, J. (2000): Global Positioning System as Data Collection Method for Travel Research. Transportation Research Record, 1719(1): 147–153.10.3141/1719-19Search in Google Scholar

ELLEGÅRD, K. (1999): A time-geographical approach to the study of everyday life of individuals – a challenge of complexity. GeoJournal, 48(3): 167–175.10.1023/A:1007071407502Search in Google Scholar

FRÄNDBERG, L., VILHELMSON, B. (2011): More or less travel: personal mobility trends in the Swedish population focusing gender and cohort. Journal of Transport Geography, 19(6): 1235–1244.10.1016/j.jtrangeo.2011.06.004Search in Google Scholar

FRANTÁL, B., KLAPKA, P. (2020): Exploring the nexus between place of residence, daily activity patterns and the socio-spatial isolation of mothers on parental leave. Area, 52(2): 401–410.10.1111/area.12585Search in Google Scholar

GONG, H., CHEN, C., BIALOSTOZKY, E., LAWSON, C. (2012): A GPS/GIS method for travel mode detection in New York City. Computers, Environment and Urban Systems, 36(2): 131–139.10.1016/j.compenvurbsys.2011.05.003Search in Google Scholar

GONZÁLEZ, M., HIDALGO, C., BARABÁSI, A. L. (2008): Understanding individual human mobility patterns. Nature, 453: 779–782.10.1038/nature0695818528393Search in Google Scholar

GOUGH, K. (2008): ‘Moving around’: the social and spatial mobility of youth in Lusaka. Geografiska Annaler: Series B, Human Geography, 90(3): 243–255.10.1111/j.1468-0467.2008.290.xSearch in Google Scholar

GUTIÉRREZ, J., GARCÍA-PALOMARES, J. C. (2007): New spatial patterns of mobility within the metropolitan area of Madrid: Towards more complex and dispersed flow networks. Journal of Transport Geography, 15(1): 18–30.10.1016/j.jtrangeo.2006.01.002Search in Google Scholar

HÄGERSTRAND, T. (1982): Diorama, Path and Project. Tijdschrift voor economische en sociale geografie, 73(6): 323–329.10.1111/j.1467-9663.1982.tb01647.xSearch in Google Scholar

HALÁS, M., KRAFT, S. (2016): Modeling and prediction of long-distance traffic flows through the example of road transport in the Czech Republic. Scottish Geographical Journal, 132(1): 103–117.10.1080/14702541.2015.1084029Search in Google Scholar

HERDER, E., SIEHNDEL, P. (2012): Daily and weekly patterns in human mobility. AUM 2012, Workshop on Augmented User Modeling. Extended Proceedings of UMAP 2012.Search in Google Scholar

HJORTHOL, R., LEVIN, L., SIRÉN, A. (2010): Mobility in different generations of older persons: The development of daily travel in different cohorts in Denmark, Norway and Sweden. Journal of Transport Geography, 18(5): 624–633.10.1016/j.jtrangeo.2010.03.011Search in Google Scholar

HUNECKE, M., HAUSTEIN, S., BÖHLER, S., GRISCHKAT, S. (2010). Attitude-Based Target Groups to Reduce the Ecological Impact of Daily Mobility Behavior. Environment and Behavior, 42(1): 3–43.Search in Google Scholar

JANELLE, D. G., GOODCHILD, M. F., KLINKENBERG, B. (1988): Space-Time Diaries and Travel Characteristics for Different Levels of Respondent Aggregation. Environment and Planning A: Economy and Space, 20(7): 891–906.10.1068/a200891Search in Google Scholar

JENSEN, O. (2009): Flows of Meaning, Cultures of Movements – Urban Mobility as Meaningful Everyday Life Practice. Mobilities, 4(1): 139–158.10.1080/17450100802658002Search in Google Scholar

JONES, L., DAVIS, A., EYERS, T. (2000): Young people, transport and risk: comparing access and independent mobility in urban, suburban and rural environments. Health Education Journal, 59(4): 315–328.10.1177/001789690005900405Search in Google Scholar

KAMRUZZAMAN, M., HINE, J., GUNAY, B., BLAIR, N. (2011): Using GIS to visualise and evaluate student travel behaviour. Journal of Transport Geography, 19(1): 13–32.10.1016/j.jtrangeo.2009.09.004Search in Google Scholar

KAUFMANN, V. (2002): Re-Thinking Mobility: Contemporary Sociology. New York, Routledge.Search in Google Scholar

KAUFMANN, V., BERGMAN, M., JOYE, D. (2004): Motility: mobility as capital. International Journal of Urban and Regional Research, 28(4): 745–756.10.1111/j.0309-1317.2004.00549.xSearch in Google Scholar

KEENA, T. (2011): Studentification in Ireland? Analysing the impacts of students and student accommodation on Cork City. Irish Geography, 44(2–3): 191–213.10.1080/00750778.2011.618073Search in Google Scholar

KLAPKA, P., ROUBALÍKOVÁ, H. (2010): Places and students in urban environment: A time-geographical perspective. Geografický časopis, 62(1): 33–47.Search in Google Scholar

KLAPKA, P., HALÁS, M., ERLEBACH, M., TONEV, P., BEDNÁŘ, M. (2014): A multistage agglomerative approach for defining functional regions of the Czech Republic: the use of 2001 commuting data. Moravian Geographical Reports, 22 (4): 2–13.10.1515/mgr-2014-0019Search in Google Scholar

KLÖCKNER, C., FRIEDRICHSMEIER, T. (2011): A multilevel approach to travel mode choice – How person characteristics and situation specific aspects determine car use in a student sample. Transportation Research Part F: Traffic Psychology and Behaviour, 14(4): 261–277.10.1016/j.trf.2011.01.006Search in Google Scholar

KRAFT, S. (2014): Daily spatial mobility and transport behaviour in the Czech Republic: Pilot study in the Písek and Bystřice nad Pernštejnem regions. Human Geographies - Journal of Studies and Research in Human Geography, 8(2): 51–67.10.5719/hgeo.2014.82.51Search in Google Scholar

KRAFT, S., VANČURA, M. (2009): Geographical organisation of the transport system in Czechia and its development in the transformation period. Geografie, 114(4): 298–315.10.37040/geografie2009114040298Search in Google Scholar

KRAFT, S., MARADA, M. (2017): Delimitation of Functional Transport Regions: Understanding the Transport Flows Patterns at the Micro-regional Level. Geografiska Annaler: Series B, Human Geography, 99(1): 79–93.10.1080/04353684.2017.1291741Search in Google Scholar

KWAN, M. P., WEBER, J. (2003): Individual Accessibility Revisited: Implications for Geographical Analysis in the Twenty-first Century. Geographical Analysis, 35(4): 341–353.10.1111/j.1538-4632.2003.tb01119.xSearch in Google Scholar

LEFEBVRE, H. (2004): Rhythmanalysis: Space, Time and Everyday Life. New York, Continuum.Search in Google Scholar

LICOPPE, C., DIMINESCU, D., SMOREDA, Z., ZIEMLICKI, C. (2008): Using mobile phone geolocalisation for ‘socio-geographical’ analysis of coordination, urban mobilities, and social integration patterns. Tijdschrift voor economische en sociale geografie, 99(5): 584–601.10.1111/j.1467-9663.2008.00493.xSearch in Google Scholar

LIU, X., YAN, W. Y., CHOW, J. (2015): Time-geographic relationships between vector fields of activity patterns and transport systems. Journal of Transport Geography, 42(1): 22–33.10.1016/j.jtrangeo.2014.10.005Search in Google Scholar

MILLER, H. J. (2005): A Measurement Theory for Time Geography. Geographical Analysis, 37(1): 17–45.10.1111/j.1538-4632.2005.00575.xSearch in Google Scholar

MONTINI, L., PROST, S., SCHRAMMEL, J., RIESERSCHLÜSSER, N., AXHAUSEN, K. (2015): Comparison of Travel Diaries Generated from Smartphone Data and Dedicated GPS Devices. Transportation Research Procedia, 11: 227–241.10.1016/j.trpro.2015.12.020Search in Google Scholar

MULÍČEK, O., OSMAN, R., SEIDENGLANZ, D. (2016). Time–space rhythms of the city – The industrial and postindustrial Brno. Environment and Planning A: Economy and Space, 48(1): 115–131.Search in Google Scholar

MURAKAMI, E., WAGNER, D. P. (1999): Can using global positioning system (GPS) improve trip reporting? Transportation Research Part C: Emerging Technologies, 7(2–3): 149–165.10.1016/S0968-090X(99)00017-0Search in Google Scholar

NITSCHE, P., WIDHALM, P., BREUSS, S., BRÄNDLE, N., MAURER, P. (2014): Supporting large-scale travel surveys with smartphones – A practical approach. Transportation Research Part C: Emerging Technologies, 43(2): 212–221.10.1016/j.trc.2013.11.005Search in Google Scholar

NOVÁK, J., SÝKORA, L. (2007): A city in motion: time-space activity and mobility patterns of suburban inhabitants and the structuration of the spatial organization of the Prague metropolitan area. Geografiska Annaler: Series B, Human Geography, 89(2): 147–168.10.1111/j.1468-0467.2007.00245.xSearch in Google Scholar

NOVÁK, J., TEMELOVÁ, J. (2012): Každodenní život a prostorová mobilita mladých Pražanů: pilotní studie využití lokalizačních dat mobilních telefonů. Sociologický časopis/Czech Sociological Review 48(5): 911–938.10.13060/00380288.2012.48.5.05Search in Google Scholar

NOVÁK, J., AHAS, R., AASA, A., SILM, S. (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): 10–15.10.1080/17445647.2012.762331Search in Google Scholar

NUTLEY, S. (2005): Monitoring rural travel behaviour: a longitudinal study in Northern Ireland 1979–2001. Journal of Transport Geography, 13(3): 247–263.10.1016/j.jtrangeo.2004.07.002Search in Google Scholar

OUŘEDNÍČEK, M., NEMEŠKAL, J., ŠPAČKOVÁ, P., HAMPL, M., NOVÁK, J. (2018): A synthetic approach to the delimitation of the Prague Metropolitan Area, Journal of Maps, 14(1): 26–33.10.1080/17445647.2017.1422446Search in Google Scholar

PRED, A. (1981): Social Reproduction and the Time- Geography of Everyday Life. Geografiska Annaler. Series B, Human Geography, 63(1): 5–22.10.2307/490994Search in Google Scholar

PUCHER, J., RENNE, J. (2005): Rural mobility and mode choice: Evidence from the 2001 National Household Travel Survey. Transportation, 32(2): 165–186.10.1007/s11116-004-5508-3Search in Google Scholar

SCHEINER, J. (2006): Housing mobility and travel behavior: A process-oriented approach to spatial mobility. Evidence from a new research field in Germany. Journal of Transport Geography, 14(1): 37–46.Search in Google Scholar

SCHWANEN, T., DIELEMAN, F., DIJST, M. (2001): Travel behaviour in Dutch monocentric and policentric urban systems. Journal of Transport Geography, 9(3): 173–186.10.1016/S0966-6923(01)00009-6Search in Google Scholar

SHAW, S., YU., H. (2009): A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical–virtual space. Journal of Transport Geography, 17(2): 141–149.10.1016/j.jtrangeo.2008.11.012Search in Google Scholar

SMITH, D., HUBBARD, P. (2014): The segregation of educated youth and dynamic geographies of studentification. Area, 46(1): 92–100.10.1111/area.12054Search in Google Scholar

SONG, C., QU, Z., BLUMM, N., BARABÁSI, A. L. (2010): Limits of Predictability in Human Mobility. Science, 327(5968): 1018–1021.10.1126/science.1177170Search in Google Scholar

ŠILHAN, Z., KUNC J. (2020): Two decades of changes in spatial distribution of retail and commercial services: Czech experience. Hungarian Geographical Bulletin, 69(1): 41–55.10.15201/hungeobull.69.1.4Search in Google Scholar

ŠVEDA, M., MADAJOVÁ, M. (2015): Merging diaries and GPS records: The method of data collection for spatiotemporal research. Moravian Geographical Reports, 23(2): 12–25.10.1515/mgr-2015-0007Search in Google Scholar

TEMELOVÁ, J., NOVÁK, J., POSPÍŠILOVÁ, L., DVOŘÁKOVÁ, N. (2011): Každodenní život, denní mobilita a adaptační strategie obyvatel v periferních lokalitách. Sociologický Časopis/Czech Sociological Review, 47(4): 831–858.10.13060/00380288.2011.47.4.09Search in Google Scholar

TIMMERMANS, H., WAERDEN, P., AELVES, M., POLAK, J., ELLIS, S., HARVEY, A., KUROSE, S., ZANDEE, R. (2003): Spatial context and the complexity of daily travel patterns: an international comparison. Journal of Transport Geography, 11(1): 37–46.10.1016/S0966-6923(02)00050-9Search in Google Scholar

URRY, J. (2002): Mobility and Proximity. Sociology, 36(2): 255–274.10.1177/0038038502036002002Search in Google Scholar

VAN DER SPEK, S., VAN SCHAICK, J., DE BOIS, P., DE HAAN, R. (2009): Sensing Human Activity: GPS Tracking. Sensors, 9: 3033–3055.10.3390/s90403033334882922574061Search in Google Scholar

WIDHALM, P., YANG, Y., ULM, M., ATHAVALE, S., GONZÁLEZ, M. (2015): Discovering urban activity patterns in cell phone data. Transportation, 42(4): 597–623.10.1007/s11116-015-9598-xSearch in Google Scholar

WU, L., YANG, B., JING, P. (2016): Travel Mode Detection Based on GPS Raw Data Collected by Smartphones: A Systematic Review of the Existing Methodologies. Information, 7(4): 67.10.3390/info7040067Search in Google Scholar

XIAO, G., JUAN, Z., ZHANG. C. (2015): Travel mode detection based on GPS track data and Bayesian networks. Computers, Environment and Urban Systems, 54: 14–22.10.1016/j.compenvurbsys.2015.05.005Search in Google Scholar

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