Linking Demographic and Spatial Data for a Successful Stakeholder Process in Climate Change Protection Projects - The Case Study of Leoben/AT

摘要

In 2011 Green City Lab e. V. and an interdisciplinary project team conducted the project "Green Network Leoben" funded by the Climate and Energy Fond Austria in the Smart Energy Demo - fit4set research program. The aim of the project was to address climate change and preserve and improve the quality of life in Leoben through a stakeholder process. This process was based on initial surveys on the CO2-status of the town, on mobility and on open and built space typologies as well as on a demographic analysis. This paper mainly focuses on the nexus between demographic change, urban structure and climate change. Leoben, the second largest city in the federal state of Styria, is characterised by heavy industry, as well as by the Montanuniversitat and research and technology companies. Leoben has about 25.000 inhabitants. One of the current challenges the city council is facing, is a demographic shift - a population decline of 4 % in the last decade. One of the key questions in this project was how everyday life in 2025/2050 can be environmentally friendly, energy-efficient and with the highest quality of life for every age group living in Leoben. This paper outlines in particularly the challenges arising from a demographic shift in the context of climate change adaptation and demands on open spaces and housing. The authors present results from an analyis of demographic data on polling station level and an urban and open space typology on the spatial scale of parcels. The demographic and spatial data were overlapped to gain social-space specific results. The results provide a more specific insight in possibilities and capacities of each age group and building and open space type in terms of setting climate protection measures and the quality of the housing environment. The gained data can consequently inform a stakeholder process in a more accurate and efficient way by linking social with environmental data.