@article{MTMT:33791072,
	title = {A budapesti közlekedési infrastruktúra haváriatűrőképessége},
	url = {https://m2.mtmt.hu/api/publication/33791072},
	author = {Szabó, Zsombor and Úti, Gábor and Sipos, Tibor},
	journal-iso = {VÁROSI KÖZLEKEDÉS},
	journal = {VÁROSI KÖZLEKEDÉS},
	volume = {59},
	unique-id = {33791072},
	issn = {0133-0314},
	year = {2023},
	pages = {26-32},
	orcid-numbers = {Szabó, Zsombor/0000-0001-6950-7094}
}

@article{MTMT:33763767,
	title = {Disaster Risk Assessment Scheme—A Road System Survey for Budapest},
	url = {https://m2.mtmt.hu/api/publication/33763767},
	author = {Sipos, Tibor and Szabó, Zsombor and Obaid, Mohammed and Török, Árpád},
	doi = {10.3390/su15086777},
	journal-iso = {SUSTAINABILITY-BASEL},
	journal = {SUSTAINABILITY},
	volume = {15},
	unique-id = {33763767},
	abstract = {This study presents a method to analyze the most critical elements of the public road system concerning outer effects which hinder the normal operation of the whole system. The surveyed public road network in Budapest, Hungary is studied as a graph: Dijkstra’s algorithm is applied to find the shortest path, and the Boykov-Kolmogorov method is used to calculate the maximum flow of the network. Those elements are identified whose damage can critically influence the operation of the network, and where the infrastructure available for rescue teams has a bottleneck. Finally, the Wilcoxon post hoc test was applied with Bonferroni correction. The tests have proven that the new method can successfully identify the critical vulnerabilities of the network to determine its weak points by considering reduced road capacities and the increased needs for transportation arising due to a disaster. This pilot study confirmed that after the elimination of the problems in statistical methods, the new framework can robustly identify those road network elements whose development is of key importance from a disaster management perspective.},
	year = {2023},
	eissn = {2071-1050},
	orcid-numbers = {Szabó, Zsombor/0000-0001-6950-7094; Török, Árpád/0000-0002-1985-4095}
}

@article{MTMT:33688524,
	title = {Generalized Linear Modeling of Crashes on Urban Road Links},
	url = {https://m2.mtmt.hu/api/publication/33688524},
	author = {Mekonnen, Anteneh Afework and Sipos, Tibor and Szabó, Zsombor},
	doi = {10.3311/PPtr.19119},
	journal-iso = {PERIOD POLYTECH TRANSP ENG},
	journal = {PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING},
	volume = {51},
	unique-id = {33688524},
	issn = {0303-7800},
	abstract = {As crash data have distinctive behavior like over-dispersion, researchers have used statistical methods to deal with this unique behavior of crash data specifically. This study employed generalized linear modeling techniques to develop the model. It was assumed that the accident counts followed negative-binomial distribution, and the link function was chosen to be the log link function. Negative-binomial modeling technique was chosen over Poisson distribution because it is the most used technique by many researchers as crash data may encounter over-dispersion. The accident data set showed greater variability between its variance and mean. The accident frequency distribution is shown in this study that it is highly skewed, with a very high number of road segments registering zero accidents. Negative binomial distribution was chosen over Poisson distribution after comparing Akaike’s Information Criterion (AIC) and Bayesian Information Criteria (BIC). The method is widely applied to count data. Twenty-two parameters were estimated in the model. Since p < 0.05 in the omnibus test, the null hypothesis is rejected, which indicates that the model is reasonably fit. The strongest variables in the model were witnessed to be the length of the links, number of lanes, average daily traffic, bus lane, number of buses and trolleys, and HGVs.},
	year = {2023},
	eissn = {1587-3811},
	pages = {140-146},
	orcid-numbers = {Szabó, Zsombor/0000-0001-6950-7094}
}

@mastersthesis{MTMT:33600758,
	title = {A közlekedési rendszerekre vonatkozó adminisztratív elválasztó hatások térstatisztikai vizsgálata},
	url = {https://m2.mtmt.hu/api/publication/33600758},
	author = {Szabó, Zsombor},
	publisher = {Budapest University of Technology and Economics},
	unique-id = {33600758},
	year = {2022},
	orcid-numbers = {Szabó, Zsombor/0000-0001-6950-7094}
}

@article{MTMT:32613479,
	title = {The Connection between Spatial Autocorrelation and Border Crossing Traffic},
	url = {https://m2.mtmt.hu/api/publication/32613479},
	author = {Szabó, Zsombor and Sipos, Tibor},
	doi = {10.7708/ijtte2022.12(1).10},
	journal-iso = {INT J TRAFFIC TRANSP ENG},
	journal = {INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING},
	volume = {12},
	unique-id = {32613479},
	issn = {2217-544X},
	year = {2022},
	eissn = {2217-5652},
	pages = {140-154},
	orcid-numbers = {Szabó, Zsombor/0000-0001-6950-7094}
}

@article{MTMT:32618015,
	title = {A közúti áruszállítás térgazdasági összefüggései az európai földrajzi térségben},
	url = {https://m2.mtmt.hu/api/publication/32618015},
	author = {Boldizsár, Adrienn and Mészáros, Ferenc and Sipos, Tibor and Szabó, Zsombor},
	doi = {10.23717/LOGEVK.2022.21},
	journal-iso = {LOGISZTIKAI ÉVKÖNYV},
	journal = {LOGISZTIKAI ÉVKÖNYV},
	volume = {27},
	unique-id = {32618015},
	issn = {1218-3849},
	year = {2021},
	pages = {222-231},
	orcid-numbers = {Boldizsár, Adrienn/0000-0002-2633-4477; Mészáros, Ferenc/0000-0001-6233-0812; Szabó, Zsombor/0000-0001-6950-7094}
}

@article{MTMT:32613399,
	title = {Közösségi közlekedési módok súlyszámának meghatározása városi környezetben – egy lehetséges módszertan},
	url = {https://m2.mtmt.hu/api/publication/32613399},
	author = {Szabó, Zsombor and Sipos, Tibor},
	doi = {10.24228/KTSZ.2021.6.1},
	journal-iso = {KÖZLEKEDÉSTUDOMÁNYI SZEMLE},
	journal = {KÖZLEKEDÉSTUDOMÁNYI SZEMLE},
	volume = {71},
	unique-id = {32613399},
	issn = {0023-4362},
	year = {2021},
	pages = {4-16},
	orcid-numbers = {Szabó, Zsombor/0000-0001-6950-7094}
}

@article{MTMT:32488575,
	title = {Havária jelenség hatása Budapest forgalmára},
	url = {https://m2.mtmt.hu/api/publication/32488575},
	author = {Szabó, Zsombor and Uti, Gábor and Sipos, Tibor},
	doi = {10.24228/KTSZ.2021.5.2},
	journal-iso = {KÖZLEKEDÉSTUDOMÁNYI SZEMLE},
	journal = {KÖZLEKEDÉSTUDOMÁNYI SZEMLE},
	volume = {71},
	unique-id = {32488575},
	issn = {0023-4362},
	abstract = {A városi közlekedés és annak közvetlenül érintő hatásainak vizsgálata, valamint a javaslatok alkalmat adnak a felkészülésre és a komplikációk mérséklésére.},
	year = {2021},
	pages = {24-36},
	orcid-numbers = {Szabó, Zsombor/0000-0001-6950-7094}
}

@article{MTMT:32351758,
	title = {Spatial Econometric Analysis of Road Traffic Crashes},
	url = {https://m2.mtmt.hu/api/publication/32351758},
	author = {Sipos, Tibor and Mekonnen, Anteneh Afework and Szabó, Zsombor},
	doi = {10.3390/su13052492},
	journal-iso = {SUSTAINABILITY-BASEL},
	journal = {SUSTAINABILITY},
	volume = {13},
	unique-id = {32351758},
	abstract = {Keeping the basic principles of sustainable development, it must be highlighted that decisions about transport safety projects must be made following expert preparation, using reliable, professional methods. A prerequisite for the cost-benefit analysis of investments is to constantly monitor the efficiency of accident forecasting models and to update these continuously. This paper presents an accident forecasting model for urban areas, which handles both the properties of the public road infrastructure and spatial dependency relations. As the aim was to model the urban environment, we focused on the road public transportation modes (bus and trolley) and the vulnerable road users (bicyclist) using shared infrastructure elements. The road accident data from 2016 to 2018 on the whole road network of Budapest, Hungary, is analyzed, focusing on road links (i.e., road segments between junctions) by applying spatial econometric statistical models. As a result of this article, we have developed a model that can be used by decision-makers as well, which is suitable for estimating the expected value of accidents, and thus for the development of the optimal sequence of appropriate road safety interventions.},
	keywords = {road traffic accidents; Spatial dependence; Autocorrelation; Econometric models; spatial lag; spatial error},
	year = {2021},
	eissn = {2071-1050},
	orcid-numbers = {Szabó, Zsombor/0000-0001-6950-7094}
}

@article{MTMT:31656006,
	title = {Spatial Econometric Cross-Border Traffic Analysis for Passenger Cars. Hungarian Experience},
	url = {https://m2.mtmt.hu/api/publication/31656006},
	author = {Sipos, Tibor and Szabó, Zsombor and Török, Árpád},
	doi = {10.7307/ptt.v33i2.3641},
	journal-iso = {PROMET-ZAGREB},
	journal = {PROMET-TRAFFIC & TRANSPORTATION},
	volume = {33},
	unique-id = {31656006},
	issn = {0353-5320},
	abstract = {The role of cross-border commuting needs is remarkable, given that large cross-border cities tend to have high traffic attractiveness. Thus, agglomeration effects are strongly prevalent in populous settlements close to the border. This is due to the fact that both Hungary and the neighboring countries are burdened by spatial inequalities; therefore, the traffic at the individual border crossing points is unbalanced. Our aim is to show the extent to which the introduction of certain public transport modes contributes to the reduction of cross-border passenger car traffic. In order to do this, we have to set up a spatial econometric model that can simultaneously handle the parallel public transport infrastructure, the cross-border attractiveness of border cities, and the impact of spatial inequalities. The results of the research shed light on how the introduction of each means of transport contributes to increasing the competitiveness of border regions. This will demonstrate the effectiveness of policy tools that can improve the competitiveness of a given macroregion.},
	year = {2021},
	eissn = {1848-4069},
	pages = {233-246},
	orcid-numbers = {Szabó, Zsombor/0000-0001-6950-7094; Török, Árpád/0000-0002-1985-4095}
}