@article{MTMT:34496476,
	title = {Social Impact Assessment in Urban Security Management Projects: A Case Study from Pakistan},
	url = {https://m2.mtmt.hu/api/publication/34496476},
	author = {Ghani, Usman and Tóth, Péter and Fekete, Dávid and Varga, Enikő and Baracskai, Zoltán},
	doi = {10.36941/ajis-2024-0004},
	journal-iso = {ACAD J INTERDISCIPLI STUD},
	journal = {ACADEMIC JOURNAL OF INTERDISCIPLINARY STUDIES},
	volume = {13},
	unique-id = {34496476},
	issn = {2281-3993},
	abstract = {Public safety and security management projects are devised to reduce crime, fear and calamities by prevailing law and order to reduce the harm in society. In a certain context, social impact assessment is a novel way to reveal the extent of effectiveness for these projects. This case study presents an Expert System based methodology regarding social impact assessment for two urban security management projects in Pakistan. An Expert System, DoctuS is employed as a tool to build a rule-based model tool using social impact attributes (as variables) from literature and expert knowledge (Author’s own insight as being involved in projects). Case-based reasoning (CBR) method is employed for the measurement of the impact of urban security management KPIs (Key Performance Indicators) in the two case projects. The empirical findings in this case study approaches the impact assessment by quantitative analysis of crime rates in JMP statistical package and Qualitative Expert knowledge-based model in DoctuS. Thereby, the study evaluates the pre and post ante project situations in order to assess the project’s effectiveness and impact on improved urban safety and security.  In the first step, the projects are briefly described, followed by the crime rate analysis under the project jurisdictions and rules between attributes are defined. The second step defines the qualitative rule-based model along with the two cases described, and validated in DoctuS tool. Some attributes and rules have changed, and a new concise model is presented. The Expert System compares the project cases and evaluates the social impact assessment based on the defined KPIs. The Expert system validation presents a novel model for social impact assessment of subject urban security management projects. We propose this methodology and model as useful in investigating social impact assessment of projects specifically dealing with urban safety and security management. However, the generalizability of the findings of this case-study based articles need more sophisticated tests as recommendation for the extension to this study. Received: 31 May 2023 / Accepted: 19 November 2023 / Published: 5 January 2024},
	year = {2024},
	eissn = {2281-4612},
	pages = {33-56},
	orcid-numbers = {Tóth, Péter/0000-0002-5010-9456; Baracskai, Zoltán/0000-0002-1450-8484}
}

@inbook{MTMT:34716661,
	title = {Humánszolgáltatási trendek a Covid19 pandémia után},
	url = {https://m2.mtmt.hu/api/publication/34716661},
	author = {Fekete, Dávid},
	booktitle = {Humánszolgáltatási trendek},
	unique-id = {34716661},
	year = {2023},
	pages = {7-11}
}

@book{MTMT:34716654,
	title = {Humánszolgáltatási trendek. A Gróf Bethlen István Kutatóközpont évkönyve},
	url = {https://m2.mtmt.hu/api/publication/34716654},
	isbn = {9786156491442},
	editor = {Fekete, Dávid},
	publisher = {Universitas-Győr Kht.},
	unique-id = {34716654},
	year = {2023}
}

@inbook{MTMT:34130846,
	title = {Férfi szerzetesrendek az oktatásban},
	url = {https://m2.mtmt.hu/api/publication/34130846},
	author = {Fekete, Dávid},
	booktitle = {Szerzetesek helyben. Mit tesznek a szerzetesrendek a helyi közösségek szervezésében?},
	unique-id = {34130846},
	year = {2023},
	pages = {49-72}
}

@inbook{MTMT:34130841,
	title = {Férfi szerzetesrendek térségi hatásai Magyarországon – A kutatási eredmények összegzése},
	url = {https://m2.mtmt.hu/api/publication/34130841},
	author = {Fekete, Dávid},
	booktitle = {Szerzetesek helyben. Mit tesznek a szerzetesrendek a helyi közösségek szervezésében?},
	unique-id = {34130841},
	year = {2023},
	pages = {13-26}
}

@{MTMT:34130798,
	title = {Előszó},
	url = {https://m2.mtmt.hu/api/publication/34130798},
	author = {Fekete, Dávid},
	booktitle = {Szerzetesek helyben. Mit tesznek a szerzetesrendek a helyi közösségek szervezésében?},
	unique-id = {34130798},
	year = {2023},
	pages = {7-12}
}

@book{MTMT:34130783,
	title = {Szerzetesek helyben. Mit tesznek a szerzetesrendek a helyi közösségek szervezésében?},
	url = {https://m2.mtmt.hu/api/publication/34130783},
	isbn = {9786156491138},
	editor = {Fekete, Dávid and Sárai-Szabó, Kelemen},
	publisher = {Universitas-Győr Kht.},
	unique-id = {34130783},
	year = {2023}
}

@book{MTMT:34027399,
	title = {Kultúraalapú városfejlesztés. Kreatív városi kezdeményezések Kelet-Közép-Európában.},
	url = {https://m2.mtmt.hu/api/publication/34027399},
	isbn = {9789636440107},
	author = {Fekete, Dávid and Morvay, Szabolcs},
	publisher = {MCC Press},
	unique-id = {34027399},
	year = {2023}
}

@article{MTMT:34025445,
	title = {Merre tovább a vízszintszabályozás után? – Gazdaságfejlesztési lehetőségek a Szigetközben},
	url = {https://m2.mtmt.hu/api/publication/34025445},
	author = {Fekete, Dávid and Kézai, Petra Kinga and Dömötör, Mihály},
	doi = {10.32643/fk.147.1.2},
	journal-iso = {FÖLDRAJZI KÖZLEMÉNYEK},
	journal = {FÖLDRAJZI KÖZLEMÉNYEK},
	volume = {147},
	unique-id = {34025445},
	issn = {0015-5411},
	abstract = {The water regulation of the Danube in the border area of Szigetköz in Hungary and Csallóköz in Slovakia opened new economic opportunities for the region. Recent research aims to identify the economic opportunities that may arise as a result of the planned interventions or that have been latent in the socio-economic life of the region so far. The research method is based firstly on the detailed analysis of strategic documents containing findings on the economic aspects of Szigetköz–Csallóköz, and secondly on in-depth interviews with the decision-makers and institutional leaders of the municipalities concerned (N = 22). As a result of the research proposals besides infrastructural improvements, economic improvements such as the creation of a unified tourism brand similar to the Slovakian “Kukkonia our golden garden” brand, could result in a rise in quality and development of the tourism destination.},
	year = {2023},
	pages = {24-39}
}

@article{MTMT:33842960,
	title = {Predictive Choropleth Maps Using ARIMA Time Series Forecasting for Crime Rates in Visegrád Group Countries},
	url = {https://m2.mtmt.hu/api/publication/33842960},
	author = {Ghani, Usman and Tóth, Péter and Fekete, Dávid},
	doi = {10.3390/su15108088},
	journal-iso = {SUSTAINABILITY-BASEL},
	journal = {SUSTAINABILITY},
	volume = {15},
	unique-id = {33842960},
	abstract = {Geographical mapping has revolutionized data analysis with the help of analytical tools in the fields of social and economic studies, whereby representing statistical research variables of interest as geographic characteristics presents visual insights. This study employed the QGIS mapping tool to create predicted choropleth maps of Visegrád Group countries based on crime rate. The forecast of the crime rate was generated by time series analysis using the ARIMA (autoregressive integrated moving averages) model in SPSS. The literature suggests that many variables influence crime rates, including unemployment. There is always a need for the integration of widespread data insights into unified analyses and/or platforms. For that reason, we have taken the unemployment rate as a predictor series to predict the future rates of crime in a comparative setting. This study can be extended to several other predictors, broadening the scope of the findings. Predictive data-based choropleth maps contribute to informed decision making and proactive resource allocation in public safety and security administration, including police patrol operations. This study addresses how effectively we can utilize raw crime rate statistics in time series forecasting. Moreover, a visual assessment of safety and security situations using ARIMA models in SPSS based on predictor time-series data was performed, resulting in predictive crime mapping.},
	year = {2023},
	eissn = {2071-1050},
	orcid-numbers = {Tóth, Péter/0000-0002-5010-9456}
}