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Nyilvántartási szám:
22/24
Témavezető neve:
Témavezető e-mail címe:
szabo.gyorgy@emk.bme.hu
A témavezető teljes publikációs listája az MTMT-ben:
A téma rövid leírása, a kidolgozandó feladat részletezése:
Human civilization, has mostly focused on addressing the factors that threaten its values, rather than reducing the risk of an unwanted phenomenon, managing it, or increasing the resilience of the given organization The goal of the research to generating a much richer, parametric driven design behavioral framework to improve the conventional linear civil engineering planning approaches. The objective of this research is to explore aspects of geographic-based urban modeling and environmental intervention. The GeoICT based real-time feedback could assist in understanding the effects of altering land use and construction interactions. The information technology workflow enable more complex measurement and modeling, and revise the economics of civil engineering planning by improving the sustainability of natural and built environment. The research focuses on specific issues and strategies for developing the Geoinformation (GI) Infrastructure as a structural fundament. The GI based smart models could simulate the impacts of the planned infrastructure in the affected areas and optimize the environmental risks. The planned research applies the GeoDesig concepts: planning assessment – planning intervention. The first model comprises the assessment process, looking at existing conditions within a geographic context, the second model comprise the intervention process, looking at how that context might be changed, the potential consequences of those changes, and whether the context should be changed.
Geographic information is vital to make trustworthy decisions at the local, regional, and global levels. Engineering planning, landscape planning, crime management, business development, flood mitigation, environmental restoration, community land use assessments and disaster recovery are just a few examples of areas in which decision-makers are benefiting from geographic information, together with the associated Spatial Data Infrastructure.
A téma meghatározó irodalma:
1. Arcidiacono, Andrea, és Silvia Ronchi, szerk. Ecosystem Services and Green Infrastructure: Perspectives from Spatial Planning in Italy. Cities and Nature. Cham: Springer International Publishing, 2021.
2. Costanza, Robert, Rudolf de Groot, Leon Braat, Ida Kubiszewski, Lorenzo Fioramonti, Paul Sutton, Steve Farber, és Monica Grasso. „Twenty Years of Ecosystem Services: How Far Have We Come and How Far Do We Still Need to Go?” Ecosystem Services 28 (2017. december): 1–16.
3. Durante, Juan José, és Rafael Rosillo, szerk. Natural Disasters and Climate Change: Innovative Solutions in Financial Risk Management. SpringerBriefs in Economics. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-43708-4.
4. Borzacchiello, Maria Teresa, Massimo Craglia, European Commission, Joint Research Centre, Institute for Environment and Sustainability, és Socio-economic Benefits from the Earth Observations International Worshop. Socio-Economic Benefits from the Use of Earth Ubservation Report from the International Workshop Held at Joint Research Centre, Ispra 11-13 July 2011. Luxembourg: Publications Office, 2011. 3.
5. Blaschke, Thomas, és Geoffrey J Hay. „OBJECT-ORIENTED IMAGE ANALYSIS AND SCALE-SPACE: THEORY AND METHODS FOR MODELING AND EVALUATING MULTISCALE LANDSCAPE STRUCTURE”. International Archives of Photogrammetry and Remote Sensing 34 (2001): 8.
A téma hazai és nemzetközi folyóiratai:
1. PERIODICA POLYTECHNICA-CIVIL ENGINEERING,
Scopus - Civil and Structural Engineering SJR indikátor: Q3
2. SUSTAINABLE CITIES AND SOCIETY,
Scopus - Geography, Planning and Development SJR indikátor: D1
3. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,
Scopus - Geography, Planning and Development SJR indikátor: Q1
4. ISPRS ANNALS OF THE PHOTOGRAMMETRY REMOTE SENSING AND SPATIAL INFORMATION SCIENCES
WoS
5. LAND
Scopus - Ecology SJR indikátor: Q2
A témavezető utóbbi tíz évben megjelent 5 legfontosabb publikációja:
1. Szabó György : A pénzügyi kockázat topográfiája:A térinformatika döntéstámogatási funkciójának megjelenése a pénzügyi világban, Debrecen: Debreceni Egyetemi Kiadó, pp 283-290 (2022), Nyelv: Magyar, ISBN: 9789636150396
2. Rahman, Md M ; Szabó, Gy, Sustainable urban land-use optimization using GIS-based multicriteria decision-making (GIS-MCDM) approach, ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 11 : 5 Paper: 313 (2022)
3. Rahman, Md. Mostafizur ; Szabó, György, Impact of Land Use and Land Cover Changes on Urban Ecosystem Service Value in Dhaka, Bangladesh, LAND 10 : 8 Paper: 793 , 27 p. (2021)
4. Barsi, Árpád ; Kugler, Zsófia ; László, István ; Szabó, György ; Abdulmuttalib, Hussein, Accuracy Dimension in Remote Sensing, INTERNATIONAL ARCHIVES OF PHOTOGRAMMETRY AND REMOTE SENSING (2002-) 42 : 3 pp. 61-67. , 7 p. (2018)
5. Wirth, Ervin ; Szabó, György ; Czinkóczky, Anna,Measure of landscape heterogeneity by agent-based methodology, ISPRS ANNALS OF THE PHOTOGRAMMETRY REMOTE SENSING AND SPATIAL INFORMATION SCIENCES 3 : 8 pp. 145-151. , 7 p. (2016)
A témavezető fenti folyóiratokban megjelent 5 közleménye:
1. Rahman, Md M ; Szabó, Gy, Sustainable urban land-use optimization using GIS-based multicriteria decision-making (GIS-MCDM) approach, ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 11 : 5 Paper: 313 (2022)
2. Rahman Md. Mostafizur; Szabó György
A Geospatial Approach to Measure Social Benefits in Urban Land Use Optimization Problem
LAND ( 2073-445X): 10 12 Paper 1398. 23 p. (2021)
3. Wirth Ervin; Szabó György
Overlap-avoiding Tickmodel: an Agent- and GIS-Based Method for evacuation simulations
PERIODICA POLYTECHNICA-CIVIL ENGINEERING (0553-6626 1587-3773): 62 1 pp 72-79 (2018)
4. Rahman Md. Mostafizur; Szabó György, A Geospatial Approach to Measure Social Benefits in Urban Land Use Optimization Problem, LAND ( 2073-445X): 10 12 Paper 1398. 23 p. (2021)
5. Mihály Szabolcs; Remetey-Fülöpp Gábor ; Kristóf Dániel ; Czinkóczky Anna ; Palya Tamás ; Pásztor László ; Rudan Pál ; Szabó György ; Zentai László , Earth observation and geospatial big data management and engagement of stakeholders in Hungary to support the SDGs, BIG EARTH DATA (2096-4471 2574-5417): 5 3 pp 306-351 (2021)
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