IF 0.8

Aestimum Pub Date : 2023-12-08 DOI: 10.36253/aestim-13580

P. Cupo, Erasmo Dell'Isola

引用次数: 0

The Italian National Strategy for Sustainable Development and the Covid-19 impact: a regional analysis 意大利国家可持续发展战略和 Covid-19 的影响：地区分析

IF 0.8

Aestimum Pub Date : 2023-12-08 DOI: 10.36253/aestim-14374

L. Rocchi, L. Paolotti, Arianna Tiralti, Paolo Stranieri, A. Boggia

{"title":"The Italian National Strategy for Sustainable Development and the Covid-19 impact: a regional analysis","authors":"L. Rocchi, L. Paolotti, Arianna Tiralti, Paolo Stranieri, A. Boggia","doi":"10.36253/aestim-14374","DOIUrl":"https://doi.org/10.36253/aestim-14374","url":null,"abstract":"The Italian National Strategy for Sustainable Development plays an important role in the national implementation of the 17 Goals for sustainable development set globally through the 2030 Agenda of the United Nations. The achievement of such goals in Italy is linked to the strategic choices and objectives established at the national level. The purpose of this work is to monitor the performance of the 20 Italian regions in 4 of the 5 areas of the Agenda (People, Planet, Prosperity, Peace) over a period of time ranging from the implementation of the National Strategy to the post-pandemic. To do this, a set of representative indicators was created and a geographical sustainability assessment tool (SSAM) was used, which operates through a multicriteria analysis model perfectly integrated into a GIS environment. The results showed a strong regional variability and a radicalized North-South gap. Moreover, the monitoring between the different years (2017-2019-2021) showed the initially positive impact of the strategy, mainly due to the Planet dimension, but also the negative one that COVID-19 caused to all the regions, with different intensity depending on the dimensions considered.","PeriodicalId":53999,"journal":{"name":"Aestimum","volume":"7 17","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138586520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GeoValueIndex map of public property assets generating via Analytic Hierarchy Process and Geographic Information System for Mass Appraisal 通过层次分析法和大规模评估地理信息系统生成的公共财产资产 GeoValueIndex 地图

IF 0.8

Aestimum Pub Date : 2023-12-08 DOI: 10.36253/aestim-14110

F. B. Unel, L. Kuşak, Murat Yakar

引用次数: 0

Appraising forced sale value by the method of short table market comparison approach 采用简表市场比较法评估强制出售价值

IF 0.8

Aestimum Pub Date : 2023-12-08 DOI: 10.36253/aestim-13808

Maurizio D'Amato, G. Cucuzza, Giampiero Bambagioni

引用次数: 0

Rassegna giurisprudenziale I semestre 2023 判例法评论 I 2023 学期

IF 0.8

Aestimum Pub Date : 2023-12-08 DOI: 10.36253/aestim-15263

Nicola Lucifero

引用次数: 0

Evaluation of the quality of participatory landscape perception in neighborhoods of cultural landscape to achieve social sustainability 评价社区文化景观参与性景观感知质量，实现社会可持续性

IF 0.8

Aestimum Pub Date : 2023-02-16 DOI: 10.36253/aestim-13527

Nafiseh Golestani, M. Khakzand, Mohsen Faizi

引用次数: 0

Developing a new model for ecological capability evaluation of irrigated lands in Firouzabad Township, Iran 伊朗Firouzabad镇灌溉地生态能力评价新模型的建立

IF 0.8

Aestimum Pub Date : 2023-02-13 DOI: 10.36253/aestim-13390

M. Masoudi, Elmira Asadifard

{"title":"Developing a new model for ecological capability evaluation of irrigated lands in Firouzabad Township, Iran","authors":"M. Masoudi, Elmira Asadifard","doi":"10.36253/aestim-13390","DOIUrl":"https://doi.org/10.36253/aestim-13390","url":null,"abstract":"Agricultural planning is a very complex task, since there are numerous goals, which should be achieved simultaneously, and various components and elements, which must be considered at the same time. The process of agricultural suitability evaluation for crop production requires specialized geo-environmental information and the expertise of a computer scientist to analyze and interpret the information. The main objective of this paper is to test a new model (based on Iranian ecological and FAO models) for ecological capability evaluation with geometric mean evaluation for better planning management of irrigated lands. Next, the proposed method was verified and compared with other well-known methods such as the Iranian ecological model with Boolean logic, arithmetic mean, and WLC. To test the models, we used the normalized difference vegetation index (NDVI). The test results indicated that the method revised by geometric mean evaluation (overall accuracy %=95 and Kappa coefficient =0.91) was the best among the used methods, and the arithmetic mean method (overall accuracy %=46 and Kappa coefficient =0) had the lowest accuracy. Thus, this method (Geometric mean evaluation) has high flexibility in locating agricultural lands. Overall, this study can be used as a basic method to evaluate ecological suitability for other regions with similar conditions owing to its simplicity and high precision.","PeriodicalId":53999,"journal":{"name":"Aestimum","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47264412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The The Land Cadastre in Italy and some fiscal implications: a case study 意大利土地地籍及其财政影响:个案研究

IF 0.8

Aestimum Pub Date : 2023-02-13 DOI: 10.36253/aestim-13522

M. Agosta, Caterina Patrizia Di Franco, E. Schimmenti, A. Asciuto

引用次数: 0

House price prediction modeling using machine learning techniques: a comparative study 基于机器学习技术的房价预测模型的比较研究

IF 0.8

Aestimum Pub Date : 2023-02-13 DOI: 10.36253/aestim-13703

Ayten Yağmur, M. Kayakuş, M. Terzioğlu

{"title":"House price prediction modeling using machine learning techniques: a comparative study","authors":"Ayten Yağmur, M. Kayakuş, M. Terzioğlu","doi":"10.36253/aestim-13703","DOIUrl":"https://doi.org/10.36253/aestim-13703","url":null,"abstract":"In the literature, there are two basic approaches regarding the determination of house prices. One of them is the prediction of house price using macroeconomic variables in the country where the house is produced, and another one is the price prediction models, which we can express as micro-variables, by considering the features of the house. In this study, the price of the house was attempted to be predicted using machine learning methods by establishing a model with micro variables that reveal the features of the house. The study was conducted in Turkey’ Antalya province, where household housing demand of foreigners is also high. The house advertisements in locations belonging to the lower, middle- and upper-income groups were selected as the sample. In the results, it was observed that the artificial neural network (ANN) method made predictions with more meaningful results compared to support vector regression (SVR) and multiple linear regression (MLR). These results appear to be a viable model for institutions that supply housing, mediate housing sales, and provide housing financing and valuation. It is considered that this model, which can be used to predict fluctuating house prices, especially in developing countries, will regulate the housing market.","PeriodicalId":53999,"journal":{"name":"Aestimum","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47452045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Circular, Cultural and Creative City Index: a Comparison of Indicators-based Methods with a Machine-Learning Approach 循环文化创意城市指数:基于指标的方法与机器学习方法的比较

IF 0.8

Aestimum Pub Date : 2023-02-13 DOI: 10.36253/aestim-13880

G. Poli, Eugenio Muccio, M. Cerreta

引用次数: 0

Aestimum最新文献