The European GREEN SURGE project analyzing the best European practices in urban green infrastructure (GI) management showed that there is a lack of uniform solutions on national levels. The implemented GI are locally initiated and have the scope of selected cities. There is a need to standardize approaches to GI development in all cities of EU member states. An important current goal is to develop organizational assumptions for GI implementation. Standardization of the organizational structure of UGMB is necessary in order to give the right access and management licenses to, for example, create and operate an urban greenery information system. The main objective was to develop an organizational concept for Urban Greenery Management Bodies (UGMB) in line with the Urban Greenery Management System (UGMS) concept and key Green Infrastructure benefits. Three main competency poles responsible for optimal GI implementation are identified e.g. planning (expert body), administration (regulatory body), and field operations (executive body). The proposed concept of UGMB organizational structure can be a model for other EU member states, but also for other countries applying for EU membership.
In the face of current global threats, including the COVID-19 Pandemic, new technological solutions are needed. Globalization, progressing urbanization, the decreasing availability of cultivable land for food production, water contamination, flood risk and climate change, can all be viewed as potential threats to food safety. According to forecasts and trends, the future of both agricultural policy and agricultural innovation will be based on big data, data analytics and machine learning. Therefore, it is and will continue to be important to develop information systems dedicated to agricultural innovation and the management of food security challenges. The main aim of the study is a classification of data for a uniform AMIS from data from IREIS, GC and AIIS based on survey and expert interview data obtained. We propose to expand the range of data produced by small farmers while keeping in mind the protection of farmers and their rights and the possible benefits of the data provided. The literature recognizes the value of such data but it has not yet been legally regulated, protected, managed and, above all, properly used for agricultural and food security policy purposes. Therefore, we develop the idea of extended farmers’ participation in the production of agricultural activity data. The research used a survey questionnaire and expert interviews. A viable AIIS needs current data that farmers already produce as well as additional data needs which we identify in our research. We propose an architecture of databases and describe their flow in the Agriculture Management Information System (AMIS).
In the past fifteen years, many countries have been making intensive preparations towards the creation of a modern Land Administration System (LAS). These systems are a part of multi functional spatial data infrastructure (SDI) which supports land administration. These efforts are complex since the harmonization of spatial data from various independent databases requires significant funding and time. In Poland, national LAS referred to as the Integrated Real Estate Information System (IREIS) has been developed since 2013. In light of the above, this article aims to methodologically determine whether the Polish land administration system meets fit for purpose criteria. The research approach takes into account the following criteria in the assessment of the Polish LAS: focus on the purpose, flexibility, ability to cover land tenure and land use, affordability, reliability in terms of information, attainability, and upgradeability with regard to incremental improvement. These criteria were estimated in three panels: spatial framework, legal framework, institutional framework. The results of our research indicate that the IREIS project has achieved global standards and is fit for purpose and they can be used to monitor the further development of the ZSIN.
PL
W ciągu ostatnich piętnastu lat wiele krajów prowadziło intensywne przygotowania do stworzenia nowoczesnego systemu administrowania nieruchomościami (LAS – Land Administration System). System ten stanowi część wielofunkcyjnej infrastruktury danych przestrzennych (SDI – Spatial Data Infrastructure), która wspiera administrację nieruchomościami. Wysiłki te są złożone, ponieważ harmonizacja danych przestrzennych z różnych niezależnych baz danych wymaga znacznych nakładów finansowych i czasu. W Polsce od 2013 roku tworzony jest krajowy system administrowania nieruchomościami, nazywany zintegrowanym systemem informacji o nieruchomościach (ZSIN). Niniejszy artykuł ma na celu metodologiczną ocenę polskiego LAS i sprawdzenia czy spełnia on kryteria użyteczności (dostosowania do potrzeb). Podejście badawcze uwzględnia następujące kryteria w ocenie polskiego systemu LAS: koncentracja na celu, elastyczność, rejestrowanie praw własności i użytkowania gruntów, przystępność cenowa, wiarygodność informacyjna, dostępność i możliwość elastycznej modernizacji. Kryteria te zostały oszacowane w trzech panelach, tj.: ramy przestrzenne, ramy prawne i ramy instytucjonalne. Wyniki badań autorów wskazują, że projekt IREIS osiągnął światowe standardy i może być wykorzystywany do monitorowania dalszego rozwoju ZSIN.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.