Abstract:The study conducted in this paper is focused on a predominantly residential area of the City of Ljubljana-Koseze, which is characterized by generally favorable (bio)climatic conditions. Nonetheless, thermal satellite images showed that residential neighborhoods within the Koseze district display unexpected variations in summer temperatures. This observation called into question the benefits of existing bioclimatic features and indicated the need to investigate and compare two neighborhoods with similar urban parameters, with the aim to identify morphological differential characteristics impacting urban heat island (UHI) intensity. By applying the study methodology based on a literature review, surveys of key precedents, detailed mapping in two Koseze locations, in situ measurements, observations and recordings, thermal imagery, and the analyses of statistical data, as well as by defining the four main categories of morphological urban parameters-structure, cover, fabric and metabolism, it was concluded that both neighborhoods have common morphological elements mitigating the UHI effect. Additionally, it was found that the neighborhood with higher UHI intensity has several less favorable features, such as busier roads, larger surface of parking corridors, and the existence of underground parking space. The traffic as an element of urban morphology hence represents the main cause of differences among UHI levels in the two Koseze neighborhoods.
Land development analyses play a fundamental role in understanding how land use change shapes the land, depending on continuously changing social, economic, and environmental factors that reflect the interests in space. It is especially important to follow land use changes in rural areas due to their role in food security, environmental hazards, cultural landscape preservation, etc. Continuous analyses and monitoring of land use changes allow for the identification and prevention of negative trends in land use (over intensification, land fragmentation, etc.) that might affect biodiversity, change physical and chemical properties of soil, causing soil degradation, change the spatial balance, stability and natural equilibrium in the rural area. The use of the cross-tabulation matrix methodology was suggested for land use change analyses. The methodology, when the cross-tabulation matrix elements are correctly interpreted, allows us to gain as much insight as possible in the process of land use change. This approach enabled a detailed analysis of vineyards in Goriška brda, Slovenia. It was found that the existing methodology fails to analyse the location of change. For this reason, additional analyses of spatial distribution of change and of the locations where changes in space occur were suggested. The study demonstrated that the land use category of vineyards changes systematically, although seemingly randomly. By comparing land use categories over several time periods, the study determined that the size and speed of change varied across different time intervals. The identified land use changes were assessed in the context of their high pressure on agricultural land. The results of the analyses showed different trends shaping the typical agrarian landscape in Goriška brda.
Background: Functional regions are abstract, uniformly defined territorial units that form an important basis for many development strategies of a country or a region.Objectives: This study analyses the application of network theory to the detection of such regions.Methods/Approach: Functional regions are analysed using two methods based on the graph theory: the Walktrap algorithm and the chain approach. The quality of the two regionalization methods is analysed using the fuzzy set theory with the revised method. Slovenia was used as a case study.Results: The Walktrap algorithm generated eight functional regions; seven of them corresponded to those identified in previous studies. The only difference occurred in the northwestern mountainous part of Slovenia. The chain approach led to similar results, although it resulted in a huge functional urban region of the capital Ljubljana.Conclusions: The results show that the Walktrap algorithm calculates regions that are more closed, where more workers find work in the home region, than the chain approach.
In this article, a review of functional regions by selected countries is presented. For this purpose, the basic concepts of definition and delimitation of functional regions are presented, followed by a presentation of functional regions in the fifteen selected countries in European Union : Austria, Belgium, Czech Republic, Denmark, Finland, France, Italy, Hungary, Germany, Norway, Poland, Portugal, Spain, Sweden, Great Britain, as Evropske unije, to je v Avstriji, Belgiji, na Češkem, Danskem, Finskem, v Franciji, Italiji, na Madžarskem, v Nemčiji, na Norveškem, Poljskem, Portugalskem, v Španiji, na Švedskem, v Veliki Britaniji, ter UVODTehnološki napredek in razvoj dandanes omogočata lažje in hitrejše premagovanje večjih razdalj ter številnih naravnih ovir kot v preteklosti. Z izboljšanjem infrastrukture, komunikacij in prometnih povezav se je v zadnjih desetletjih zelo povečala dostopnost nekaterih težje dostopnih območij, s tem pa se je tudi skrajšal čas potovanja do želenega cilja. Zaradi vseh teh dejavnikov se je dnevna mobilnost prebivalstva bistveno povečala. V sodobnem času vožnja na delo ni več ovira, zaradi katere se je v preteklosti delo iskalo le v bližini doma. Internet, televizija, radio, tiskani in drugi mediji so neizčrpen vir informacij o možnostih za zaposlitev, višinah plač in stroških prevoza tudi do najbolj oddaljenih delovnih mest. Na dosegu roke imamo večino informacij, ki nam pomagajo pri odločitvi, kje se bomo zaposlili.
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