Urban environments are typically complex structures of interdependent social, ecological, infrastructural and economic systems providing space and place for their citizens. “Urban environments” may include also transition areas along urban/sub-urban-rural fringes whereas the term “city” comprises a geographical area characterized by a dense accumulation of people or buildings. Cities are also believed to be a multi-layered construct containing multiple dimensions of social, technological and physical interconnections and services (Blaschke et al. 2011). Liveable urban areas have many facets, which revolve around quality of life functions such as living space, elementary infrastructure, traffic, and land utilization. While several aspects of the quality of life can be mapped in ‘space’ using classic cartography, GIS, or remote sensing, ‘place’ is still very difficult to approach beyond a purely qualitative approach. Ultimately, resulting maps shall support governing bodies in their attempts to improve the quality of life of urban dwellers through sensible decisions mainly in key service areas. Such practices will require a spatial differentiation of factors which contribute to the quality of life. In our research we employ a “Quality of Life” (QoL) approach as originally developed for the city of Detroit and developed further for other cities. We partially build on the Salzburg Quality of Urban Life Study (Keul & Prinz 2011). We develop GIS and remote sensing methods to better understand the relation of human to urban place and investigated the south-eastern Hungarian city of Szeged with its 170,000 inhabitants. Time series of land cover maps for 2000-2014 were derived from high resolution remotely sensed data. Cadastral information, geocoded census data and transportation networks were overlaid with the urban land cover series. Interviews were carried out asking inhabitants for their perceptions of green spaces, new transport infrastructural developments and improvements of public spaces while using a range from 1 for totally unsatisfied to 5 for fully satisfied. Results from the interviews were statistically analysed and allocated to spatial units (polygons) for spatial analysis in order to quantify the QoL constitution of the respective places. Geo-statistical analyses revealed spatial hot spots of community satisfaction and dissatisfaction. The preliminary results show that “spatialization” of QoL information significantly enhances the understanding of intangible and hardly mappable human perception of urban places. The geographic methods used effectively complement qualitative urban studies. Furthermore, this methodology has the potential to be applied to different urban areas and even to be scaled to rural areas, regions and countries. The geographic approach of quality of life may also be able to enhance consciousness of decision makers when attempting to expand city planning beyond infrastructural improvements.