Measuring urban vibrancy of neighborhood performance using social media data in Oslo, Norway

Abstract

The recent debate on urban vibrancy and its associated spatial characteristics worldwide has increasingly attracted the attention of planners and decision-makers in Norway and the European Union seeking to develop compact cities. This study investigated the spatial pattern of urban vibrancy associated with urban form and the determinants in Oslo, Norway. A total of 552 km2 of the Oslo central metropolitan area was classified into 12 neighborhood groups and a data-driven methodology was applied via SPSS, Python, and ArcGIS to analyze urban vibrancy, where each cell was denoted as a 1 km2 area of 24 variables. As a result of clustering via principal component analysis, six principal components were extracted with 12 critical factors. Results indicated that the location and distribution of commercial buildings, public buildings, residential buildings, and companies and the total population are the most important drivers of neighborhood vibrancy in Oslo. Vibrant neighborhoods usually appear in high-density, central urban areas with a high concentration of commercial and public buildings with various functions along main streets. In contrast, less vibrant neighborhoods have fewer service facilities and are surrounded by single residential areas, large venues, green spaces, vacant land, or land for transportation in the low-density suburban and semi-urbanized areas. This research offers a quantitative basis for a wider range of neighborhood performance assessments, provides a discussion of compact city theory, and draws the attention of decision-makers on planning policy at the neighborhood level, which can also be adapted to other European cities.