Name and surname:
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doc. Mgr. Martin Šveda, PhD.
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Document type:
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Research/art/teacher profile of a person
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The name of the university:
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Comenius University Bratislava
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The seat of the university:
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Šafárikovo námestie 6, 818 06 Bratislava
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III.a - Occupation-position | III.b - Institution | III.c - Duration |
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senior researcher | Institute of Geography SAS | 2012- |
assistant professor | Comenius university in Bratislava, Faculty of Natural Sciences | 2017-2022 |
V.1.a - Name of the profile course | V.1.b - Study programme | V.1.c - Degree | V.1.d - Field of study |
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Geography of Slovakia (1) | Geography, regional development and european | I. | Earth Sciences |
Geography of Slovakia (2) | Geography, regional development and european | I. | Earth Sciences |
Spatial Data Analysis and Visualization (1) | Geography, regional development and european | II. | Earth Sciences |
Spatial Data Analysis and Visualization (2) | Geography, regional development and european | II. | Earth Sciences |
Spatial Data Analysis and Visualization (3) | Geography, regional development and european | II. | Earth Sciences |
V.2.a - Name of the study programme | V.2.b - Degree | V.2.c - Field of study |
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Geography, regional development and european integration | I. | Earth Sciences |
Regional geography, regional development and european integration | II. | Earth Sciences |
Regional geography | III. | Earth Sciences |
V.5.a - Name of the course | V.5.b - Study programme | V.5.c - Degree | V.5.d - Field of study |
---|---|---|---|
PC geoaplications (2) | Geography, regional development and european integration | I. | Earth Sciences |
Excursion around Slovakia | Geography, regional development and european integration | I. | Earth Sciences |
Urban geography | Geography, regional development and European integration; Economic and Political Geography and Demography | I. | Earth Sciences |
Rural geography | Geography, regional development and european integration | I. | Earth Sciences |
Geography of Slovakia (1) | Geography, cartography and geoinformatics integration | I. | Earth Sciences |
Šveda, M., & Madajová, M. S. (2023). Estimating distance decay of intra-urban trips using mobile phone data: The case of Bratislava, Slovakia. Journal of Transport Geography, 107, 103552. IF (JCR) 2021=5.9,Q1 [Geography] 2021
Šveda, M., Hurbánek, P., Madajová, M. S., Rosina, K., Förstl, F., Záboj, P., & Výbošťok, J. (2024). When spatial interpolation matters: Seeking an appropriate data transformation from the mobile network for population estimates. Computers, Environment and Urban Systems, 110, 102106. IF (JCR) 2023=7.1, Q1 [Geography] 2023
Šveda, M., Výbošťok, J., Gurňák, D. (2024): Cesta (z) mesta: Atlas suburbanizácie Bratislavy [The way out of town: The Atlas of Suburbanization]. N press:Bratislava.
Holec, J., Šveda, M., Szatmári, D., Feranec, J., Bobáľová, H., Kopecká, M., & Šťastný, P. (2021). Heat risk assessment based on mobile phone data: case study of Bratislava, Slovakia. Natural Hazards, 108(3), 3099-3120. (2020: 3.102 - IF, Q2 - JCR, 0.760 - SJR, Q1 - SJR).
Šveda, M., Madajová, M. S., Barlík, P., Križan, F., & Šuška, P. (2020). Mobile phone data in studying urban rhythms: Towards an analytical framework. Moravian Geographical Reports, 28(4), 248-258. (2.48 - IF2019)
Šveda, M., & Madajová, M. S. (2023). Estimating distance decay of intra-urban trips using mobile phone data: The case of Bratislava, Slovakia. Journal of Transport Geography, 107, 103552. IF (JCR) 2021=5.9,Q1 [Geography] 2021
Šveda, M., Hurbánek, P., Madajová, M. S., Rosina, K., Förstl, F., Záboj, P., & Výbošťok, J. (2024). When spatial interpolation matters: Seeking an appropriate data transformation from the mobile network for population estimates. Computers, Environment and Urban Systems, 110, 102106. IF (JCR) 2023=7.1, Q1 [Geography] 2023
Šveda, M., Výbošťok, J., Gurňák, D. (2024): Cesta (z) mesta: Atlas suburbanizácie Bratislavy [The way out of town: The Atlas of Suburbanization]. N press:Bratislava.
Holec, J., Šveda, M., Szatmári, D., Feranec, J., Bobáľová, H., Kopecká, M., & Šťastný, P. (2021). Heat risk assessment based on mobile phone data: case study of Bratislava, Slovakia. Natural Hazards, 108(3), 3099-3120. (2020: 3.102 - IF, Q2 - JCR, 0.760 - SJR, Q1 - SJR).
Šveda, M., Madajová, M. S., Barlík, P., Križan, F., & Šuška, P. (2020). Mobile phone data in studying urban rhythms: Towards an analytical framework. Moravian Geographical Reports, 28(4), 248-258. (2.48 - IF2019)
Šveda, M., & Madajová, M. S. (2023). Estimating distance decay of intra-urban trips using mobile phone data: The case of Bratislava, Slovakia. Journal of Transport Geography, 107, 103552. IF (JCR) 2021=5.9, Q1 [Geography] 2021
[n1] 2024 zz ~ Nalin, A., Vignali, V., Lantieri, C., Cappellari, D., Zamengo, B., & Simone, A. (2024). Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring. Journal of Transport Geography, 118, 103930.
[n1] 2024 zz ~ Yuan, L., Sho, K., Eom, S., Nishi, H., Hasegawa, D., Zhao, H., ... & Masumura, A. (2024). Changes in visitor behaviour across COVID-19 pandemic: Unveiling urban visitation dynamics and non-linear relationships with the built environment using mobile big data. Habitat International, 154, 103216.
[n1] 2024 zz ~ Pian, Q., Zhang, L., Zhou, D., & Xia, D. (2024). Structural characteristics of urban agglomeration transportation networks under sustainable development goals. International Journal of Sustainable Transportation, 18(7), 618-632.
[n1] 2025 zz ~ Verma, R., & Ukkusuri, S. V. (2025). What determines travel time and distance decay in spatial interaction and accessibility?. Journal of Transport Geography, 122, 104061.
[n1] 2024 zz ~ He, Z., Zhao, P., Xiao, Z., Huang, X., Li, Z., & Kang, T. (2024). Exploring the distance decay in port hinterlands under port regionalization using truck GPS data. Transportation Research Part E: Logistics and Transportation Review, 181, 103390.
[n1] 2025 zz ~ Zhang, G., Wang, D., Chen, M., Zeng, J., & Cai, Z. (2025). Assessing urban-scale spatiotemporal heterogeneous metro station coverage using multi-source mobility data. Journal of Transport Geography, 123, 104081.
[n1] 2024 zz ~ Wang, Y., Yao, X., Wang, J., Kang, C., Meng, X., Hu, G., ... & Li, X. (2024). Investigating the effect of industry-specific economic distance on the prediction of intercity population movement. Cities, 150, 105047.
[n1] 2024 zz ~ Zhao, Z., Jin, M., Jin, J., Liu, L., Gong, Y., & Liu, Y. (2024). Discovering the spatial heterogeneous constraints of distance on migration from counties to Shenzhen in China. Applied Geography, 171, 103384.
[n1] 2024 zz ~ Halás, M. (2025). Distance-decay function alternatives based on mobile phone location data. Journal of Transport Geography, 123, 104097.
[n1] 2024 zz ~ Deng, Y., Wu, J., Yu, C., Deng, J., Tu, M., & Wang, Y. (2024). Investigating influential factors on railway passenger flow utilizing multi-source data fusion and flow space theory: A case study of the Yangtze River Delta megalopolis, China. International Journal of Transportation Science and Technology.
[n1] 2024 zz ~ Kita, P., Maciejewski, G., Žambochová, M., & Križan, F. (2024). Geomarketing as an important element of a food retailer’s business model: A managerial view. International Journal of Management and Economics.
[n1] 2024 zz ~ Leitch, S., & Wei, Z. (2024). Improving spatial access to healthcare facilities: an integrated approach with spatial analysis and optimization modeling. Annals of Operations Research, 1-18.
[n1] 2024 zz ~ Madanayake, A. R. S., Lee, K., & Lee, I. (2024). Mining contacts from spatio-temporal trajectories. AI Open, 5, 197-207.
[n1] 2024 zz ~ Zhang, J., Cai, J., Zhang, X., & Zhang, W. (2024). The Spatiotemporal Organizational Order of Living Circle Units Based on the Law of Walking Time-Distance Distributions. Land, 13(12), 2105.
[n1] 2024 zz ~ Verma, R., Debnath, M., Mittal, S., & Ukkusuri, S. V. (2024). Towards a generalized accessibility measure for transportation equity and efficiency. arXiv preprint arXiv:2404.04985.
[n1] 2024 zz ~ Wang, J., Luo, G., Huang, Y., Liu, M., & Wei, Y. (2023). Spatial characteristics and influencing factors of commuting in central urban areas using mobile phone data: A case study of nanning. Sustainability, 15(12), 9648.
[n1] 2024 zz ~ Zhang, B. (2024). Modelling Functional Spatial Structure in Mega-city Region Based on Human Mobility Pattern (Doctoral dissertation, King’s College London).
[n1] 2024 zz ~ Jaroš, V. (2023, May). Geolocation Data as a Research Tool for the Organization of the Settlement System and Mobility Mapping–Case Study of the Spatial Mobility Model in Czechia. In International Symposium on AI, Data and Digitalization (pp. 1-15). Cham: Springer Nature Switzerland.
[n1] 2024 zz ~ Ogbuju, E., Aliyu, A., Imoize, A. L., Rufai, M. A., Muhammad, A. S., & Oladipo, F. Government Policies and Economics of Computational Modelling in Wireless Networks. In Computational Modeling and Simulation of Advanced Wireless Communication Systems (pp. 260-296). CRC Press.
[01] KOVACS, Zoltan - FARKAS, Zsolt Jeno - EGEDY, Tainas - KONDOR, Attila Csaba - SZABO, Balazs - LENNERT, Jozsef - BAKA, Dorian - KOHAN, Balazs. Urban sprawl and land conversion in post-socialist cities: The case of metropolitan Budapest. In CITIES. ISSN 0264-2751, 2019, vol. 92, p. 71-81.
ADC Šveda, M., Madajová, M., Podolák, P.: Behind the Differentiation of Suburban Development in the Hinterland of Bratislava, Slovakia. In Czech Sociological Review, 2016, 52(6): 893-925.
[01] Klapka, P., Ellegård, K., & Frantal, B. (2020). What about Time-Geography in the post-Covid-19 era?. Moravian Geographical Reports, 28(4), 238-247.
ADC Šveda, Martin - Madajová, Michala. Merging diaries and GPS records: The method of data collection for spatiotemporal research. In Moravian Geographical Reports, 2015, 23(2): 12-25.
[01] Kovács, Z., Vida, G., Elekes, Á., & Kovalcsik, T. (2021). Combining social media and mobile positioning data in the analysis of tourist flows: A case study from Szeged, Hungary. Sustainability, 13(5), 2926.
ŠVEDA, Martin - BARLÍK, Peter. Daily commuting in the Bratislava metropolitan area: case study with mobile positioning data. In Papers in Applied Geography, 2018, vol. 4, no. 4, p. 409-423.
[01] Hadachi, A., Pourmoradnasseri, M., & Khoshkhah, K. (2020). Unveiling large-scale commuting patterns based on mobile phone cellular network data. Journal of Transport Geography, 89, 102871.
ŠVEDA, Martin - BARLÍK, Peter. Daily commuting in the Bratislava metropolitan area: case study with mobile positioning data. In Papers in Applied Geography, 2018, vol. 4, no. 4, p. 409-423.
VEGA 1/0082/15: Specifics of spatio-temporal human behavior under the influence of socio-economic changes (investigator)
APVV-20-0302: Alternative food networks: a shift from consumerism to sustainable consumption (investigator)
APVV-16-0462: SUBURBANIZATION - DEVELOPMENT AND IMPACTS ON SOCIO-SPATIAL STRUCTURE IN BRATISLAVA HINTERLAND (principal investigator)
APVV-19-0281: Mapping population distribution and mobility in Slovakia using mobile network data (investigator)
APVV 20-0432 Suburbanization: Community, identity and everydayness, 2021-2023, investigator
VII.a - Activity, position | VII.b - Name of the institution, board | VII.c - Duration |
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Member of the editorial board | Moravian Geographical reports (CC) | 2020- |
Member of the editorial board | Institute of Geography SAS | 2018- |
Memeber of supervisory board of Bratislava Metropolitan Institute | Bratislava Metropolitan Institute | 2021- |
Member of the Council for Public Administration Reform | The Ministry of Interior SR | 2022- |
VIII.a - Name of the institution | VIII.b - Address of the institution | VIII.c - Duration (indicate the duration of stay) | VIII.d - Mobility scheme, employment contract, other (describe) |
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Charles Univesity in Prague, Faculty of Science, Department of Social Geography and Regional Development | Albertov 6, 128 00 Praha 2 (CZ) | 3-6.12.2019 | requested lectures |