The Salzburg Quality of Urban Life Study with GIS Support

Keul, Alexander; Prinz, Thomas

doi:10.1007/978-94-007-1742-8_12

Cited by 11 publications

(11 citation statements)

References 3 publications

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“…Urban green mapping based on EO remote sensing image analysis has become an operational task in city planning, urban land management, and quality of life assessments (Keul & Prinz, 2011). One example of an ambitious European-wide operational urban mapping activity is the Copernicus Urban Atlas information service [see land.copernicus.eu/local/urban-atlas ].…”

Section: Introductionmentioning

confidence: 99%

“…Considering their functional and more purpose-related dimension, urban features such as a park, a green belt, green infrastructure, and so on, can be mapped to represent the telic (intentional) dimension (Nielsen, 2015) of city planning. Additionally, specific urban green features may subjectively be conceived differently by citizens with respect to their impression or recreational effects (Keul & Prinz, 2011). In this respect, EO and spatial analysis coupled with qualitative survey-based assessments help address specific aspects of urban green that go beyond functional land use.…”

Section: Introductionmentioning

confidence: 99%

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Urban green valuation integrating biophysical and qualitative aspects

Lang

2017

European Journal of Remote Sensing

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Urban green mapping has become an operational task in city planning, urban land management, and quality of life assessments. As a multi-dimensional, integrative concept, urban green comprising several ecological, socio-economic, and policy-related aspects. In this paper, the author advances the representation of urban green by deriving scale-adapted, policy-relevant units. These so-called geons represent areas of uniform green valuation under certain size and homogeneity constraints in a spatially explicit representation. The study accompanies a regular monitoring scheme carried out by the urban municipality of the city of Salzburg, Austria, using optical satellite data. It was conducted in two stages, namely SBG_QB (10.2 km², QuickBird data from 2005) and SBG_WV (140 km², WorldView-2 data from 2010), within the functional urban area of Salzburg. The geon delineation was validated by several quantitative measures and spatial analysis techniques, as well as ground documentation, including panorama photographs and visual interpretation. The spatial association pattern was assessed by calculating Global Moran’s I with incremental search distances. The final geonscape, consisting of 1083 units with an average size of 13.5 ha, was analyzed by spatial metrics. Finally, categories were derived for different types of functional geons. Future research paths and improvements to the described strategy are outlined.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Urban green valuation integrating biophysical and qualitative aspects

Lang

2017

European Journal of Remote Sensing

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“…The authors found rather weak relationships and were cautious about quick expectations of subjective change by means of objective QOL improvement. In 2007, the Americans and Australians joined forces to spread GIS QOL studies internationally (Marans/Stimson 2011), which also stimulated the Salzburg authors to cooperate (Keul/Prinz 2011). Steinmann et al (2005) reviewed existing public participatory GIS applications aimed to enlarge citizens' involvement and participation in decisionmaking processes.…”

Section: Literature Reviewmentioning

confidence: 99%

Städtische Lebensqualität: Zur Systematik objektiver und subjektiver Deskriptoren

Keul¹,

Brunner²,

Blaschke³

2017

Momentum Quarterly

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“…Numerous QoUL studies measuring cause and effect between objective and subjective indicators have been conducted [4][5][6][7][8][9][10][11][12], and various models representing the relationship between objective reality and subjective experience have been proposed, for example [2,13,14]. These models generally include several variables that are considered to play a role in the overall QoUL perspective at different geographic scales [15].…”

Section: Introductionmentioning

confidence: 99%

“…To this end, several empirical studies attempting to link subjective and objective QoUL have been conducted in the last decade [5][6][7][8][9][10][11][12]. Many of these studies found direct or indirect (using proxies) statistical relationships between indicator pairs at certain spatial scales (Table 1).…”

Section: Introductionmentioning

confidence: 99%

Modeling Quality of Urban Life Using a Geospatial Approach

2020

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The rapid global urbanization of the past century poses several challenges for planners and policy makers. In particular, the conflation of social and urban issues must be understood to create sustainable and livable urban places. In this regard, it was our aim to model and understand the relationship between urban characteristics and peoples’ perceived quality of urban life (QoUL) using statistical analysis and geospatial modeling. We selected objective variables representing urban characteristics based on literature and used principal components analysis to develop uncorrelated components. These components served as the independent variables in a multiple linear regression analysis. The subjective, dependent variables were extracted from a QoUL survey. Results indicated that only the Education/Income component is related to QoUL (R2 of 0.46). Using only single independent variables in a linear model explained 46% of the total variance—over 10% higher than any previously determined relationship between objective variables and subjective QoUL. Furthermore, we found that subjective high QoUL and subjective low QoUL were not strongly correlated, indicating that they are affected by different objective variables, respectively. This suggests that future efforts of increasing QoUL need to define their goals more precisely, as measures for increasing perceptions of high QoUL are likely different from measures for decreasing perceptions of low QoUL.

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The Salzburg Quality of Urban Life Study with GIS Support

Cited by 11 publications

References 3 publications

Urban green valuation integrating biophysical and qualitative aspects

Urban green valuation integrating biophysical and qualitative aspects

Städtische Lebensqualität: Zur Systematik objektiver und subjektiver Deskriptoren

Modeling Quality of Urban Life Using a Geospatial Approach

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