TY - JOUR AU - Ghani, Usman AU - Tóth, Péter AU - Fekete, Dávid AU - Varga, Enikő AU - Baracskai, Zoltán TI - Social Impact Assessment in Urban Security Management Projects: A Case Study from Pakistan JF - ACADEMIC JOURNAL OF INTERDISCIPLINARY STUDIES J2 - ACAD J INTERDISCIPLI STUD VL - 13 PY - 2024 IS - 1 SP - 33 EP - 56 PG - 24 SN - 2281-3993 DO - 10.36941/ajis-2024-0004 UR - https://m2.mtmt.hu/api/publication/34496476 ID - 34496476 AB - 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 LA - English DB - MTMT ER - TY - CHAP AU - Fekete, Dávid ED - Fekete, Dávid TI - Humánszolgáltatási trendek a Covid19 pandémia után T2 - Humánszolgáltatási trendek PB - Universitas-Győr Nonprofit Kft. CY - Győr SN - 9786156491442 PY - 2023 SP - 7 EP - 11 PG - 5 UR - https://m2.mtmt.hu/api/publication/34716661 ID - 34716661 LA - Hungarian DB - MTMT ER - TY - BOOK ED - Fekete, Dávid TI - Humánszolgáltatási trendek. A Gróf Bethlen István Kutatóközpont évkönyve TS - A Gróf Bethlen István Kutatóközpont évkönyve PB - Universitas-Győr Nonprofit Kft. CY - Győr PY - 2023 SN - 9786156491442 UR - https://m2.mtmt.hu/api/publication/34716654 ID - 34716654 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Fekete, Dávid ED - Fekete, Dávid ED - Sárai-Szabó, Kelemen TI - Férfi szerzetesrendek az oktatásban T2 - Szerzetesek helyben. Mit tesznek a szerzetesrendek a helyi közösségek szervezésében? PB - Universitas-Győr Nonprofit Kft. CY - Győr SN - 9786156491138 PY - 2023 SP - 49 EP - 72 PG - 24 UR - https://m2.mtmt.hu/api/publication/34130846 ID - 34130846 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Fekete, Dávid ED - Fekete, Dávid ED - Sárai-Szabó, Kelemen TI - Férfi szerzetesrendek térségi hatásai Magyarországon – A kutatási eredmények összegzése T2 - Szerzetesek helyben. Mit tesznek a szerzetesrendek a helyi közösségek szervezésében? PB - Universitas-Győr Nonprofit Kft. CY - Győr SN - 9786156491138 PY - 2023 SP - 13 EP - 26 PG - 14 UR - https://m2.mtmt.hu/api/publication/34130841 ID - 34130841 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Fekete, Dávid ED - Fekete, Dávid ED - Sárai-Szabó, Kelemen TI - Előszó T2 - Szerzetesek helyben. Mit tesznek a szerzetesrendek a helyi közösségek szervezésében? PB - Universitas-Győr Nonprofit Kft. CY - Győr SN - 9786156491138 PY - 2023 SP - 7 EP - 12 PG - 6 UR - https://m2.mtmt.hu/api/publication/34130798 ID - 34130798 LA - Hungarian DB - MTMT ER - TY - BOOK ED - Fekete, Dávid ED - Sárai-Szabó, Kelemen TI - Szerzetesek helyben. Mit tesznek a szerzetesrendek a helyi közösségek szervezésében? PB - Universitas-Győr Nonprofit Kft. CY - Győr PY - 2023 SN - 9786156491138 UR - https://m2.mtmt.hu/api/publication/34130783 ID - 34130783 LA - Hungarian DB - MTMT ER - TY - BOOK AU - Fekete, Dávid AU - Morvay, Szabolcs TI - Kultúraalapú városfejlesztés. Kreatív városi kezdeményezések Kelet-Közép-Európában. PB - MCC Press CY - Budapest PY - 2023 SP - 256 SN - 9789636440107 UR - https://m2.mtmt.hu/api/publication/34027399 ID - 34027399 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Fekete, Dávid AU - Kézai, Petra Kinga AU - Dömötör, Mihály TI - Merre tovább a vízszintszabályozás után? – Gazdaságfejlesztési lehetőségek a Szigetközben JF - FÖLDRAJZI KÖZLEMÉNYEK J2 - FÖLDRAJZI KÖZLEMÉNYEK VL - 147 PY - 2023 IS - 1 SP - 24 EP - 39 PG - 16 SN - 0015-5411 DO - 10.32643/fk.147.1.2 UR - https://m2.mtmt.hu/api/publication/34025445 ID - 34025445 AB - 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. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Ghani, Usman AU - Tóth, Péter AU - Fekete, Dávid TI - Predictive Choropleth Maps Using ARIMA Time Series Forecasting for Crime Rates in Visegrád Group Countries JF - SUSTAINABILITY J2 - SUSTAINABILITY-BASEL VL - 15 PY - 2023 IS - 10 SN - 2071-1050 DO - 10.3390/su15108088 UR - https://m2.mtmt.hu/api/publication/33842960 ID - 33842960 AB - 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. LA - English DB - MTMT ER -