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Research project (§ 26 & § 27)
Duration : 2024-04-01 - 2024-09-30

Vegetation mapping is an essential component in the domain of nature and environmental protection. Traditional approaches, aligned with current guidelines, necessitate high research specifications typically fulfilled through terrain mapping efforts. Despite its efficacy, this method encounters limitations in terms of seasonality and the timely processing of extensive areas. In contrast, remote sensing-based models offer noteworthy advantages under their season-independence and rapid large-scale processing capabilities. The present initiative seeks to leverage new technologies, such as cloud computing, to augment conventional supervised remote sensing classifications by merging ecological expertise with the sophisticated capabilities of cloud computing technology. For a few years now, the “Google Earth Engine” (GEE) platform has made it possible to carry out geospatial processing data and analyze them based on a huge time satellite imagery series at large study area in combination with multivariate statistical methods. It also enables the integration of location and laser scan data as well as geospatial information systems data. Challenges and Research Requirements in the project: Integrating the processing chain into a cloud platform poses considerable challenges and necessitates extensive research for a coherent, smooth, and consistent adaptation. From the initial model selection to the subsequent post-processing phase, passing through exhaustive feature selection analysis and model evaluation, which are crucial phases of adaptation, require exhaustive research to ensure the accomplishment of expected outcomes in the project. Recognizing the complexity of this task, the Egger Natural Space Planning Company requires the expertise of a remote sensing scientist specializing in cloud computing platforms. The scientist, their expertise in the field, and their scientific input are vital for providing a perspective and conducting the needed research to identify optimal approaches that align with the project's expected outputs.

Nature restoration in cities is a crucial aspect of sustainable urban development, especially in terms of contributing to climate adaptation and biodiversity conservation. However, it can involve significant changes at an individual level, which may challenge the traditional relationship between people and nature. The acceptance of restoration projects by urban dwellers depends on whether they establish new relationships between people and nature. Research indicates that there are significant differences in the acceptance of restoration measures, particularly between young and older people. The comparatively low level of acceptance among today's youth and young adults poses a significant challenge for urban nature restoration. Against this background, this research project takes a biographical approach to identify influences on the acceptance of urban nature throughout the life course. By using a biographical approach, we can systematically identify age and generational influences and possible intervention points for educational institutions, urban planning, and greenspace management. Qualitative interviews will be conducted with young people and adults of various ages residing in Vienna, as well as with experts from different fields such as environmental education and urban planning. The project aims to develop an explanatory model of the interactions between age and generation-related influences, different human-nature relationships, and the acceptance of urban restoration. The results will establish a knowledge base for developing intervention strategies and designing further experiments in urban areas to develop new human-nature relationships for restored cities.
Research project (§ 26 & § 27)
Duration : 2024-05-01 - 2027-04-30

GreenPath will develop an integrated an innovative approach to commuting in CE functional urban areas (FUAs). GreenCommute will co-design smart and green mobility solutions targeted to public and private stakeholders, co-designed with Mobility Managers, that will benefit from the project’s output by ensuring sustainable mobility solutions to students and employees. The project addresses the common challenge towards decarbonising urban mobility in CE through a set of solutions – tested through pilots – strategies and action plans developed by a unique ensemble of 11PPs (local public administration, mobility agencies and operators, universities and research bodies) and 12 APs located in a region where transport remains the primary contributor to greenhouse gas emissions. The GreenCommute project specifically focuses on promoting sustainable mobility options within Functional Urban Areas (FUAs) and addressing the challenges related to mobility management and commuting from home to work. The cooperation among partners will elaborate a common strategy for the integrated governance of commuters flows in FUAs, deliver a proven approach to participated mobility management, and a range of co-designed innovative solutions to be scaled up in FUAs.

Supervised Theses and Dissertations