Home // GEOProcessing 2023, The Fifteenth International Conference on Advanced Geographic Information Systems, Applications, and Services // View article

Identifying and Visualizing Older Single-Family House Areas for a Sustainable Spatial Planning

Authors:
Dominik Visca
Max Hoppe
Kevin Kaminski
Pascal Neis

Keywords: sustainable spatial planning; disaggregation; open data; demographic changes; single-family houses

Abstract:
The paper focuses on the challenge of sustainable spatial planning in areas with older single-family houses in Germany, particularly those constructed between the 1950s and late 1970s. Demographic changes, especially in rural areas, have resulted in vacancies in these building stocks, making the identification of these areas crucial for an effective spatial planning. The construction year of buildings can be used to identify single-family houses areas, however, obtaining fine-grained information from official sources is limited. This paper presents a method to identify building year classes through the combination of various sources and data model-ling. The method offers a practicable approach for both re-search and spatial planning. Thus, this paper reflects trends in the field of Urban Geo and Spatial Planning issues, highlight-ing the value of information to be able to analyze social change and corresponding infrastructures on a small-scale level.

Pages: 73 to 78

Copyright: Copyright (c) IARIA, 2023

Publication date: April 24, 2023

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-68558-079-7

Location: Venice, Italy

Dates: from April 24, 2023 to April 28, 2023