City love and place quality assessment of liveable and loveable neighbourhoods in Rotterdam

Kourtit K., Nijkamp P., TÜRK U., Wahlstrom M.

Land Use Policy, vol.119, 2022 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 119
  • Publication Date: 2022
  • Doi Number: 10.1016/j.landusepol.2022.106109
  • Journal Name: Land Use Policy
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus, PASCAL, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Environment Index, PAIS International, Political Science Complete, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, DIALNET
  • Keywords: City love, Place quality, District, Neighbourhood, Sustainability, Built environment, ?human habitat ? index, Quantile regression, feelgood index, OF-LIFE, HAPPINESS, CITIES, SATISFACTION, LIVABILITY
  • Kayseri University Affiliated: No


© 2022 The AuthorsAfter the worldwide interest in global sustainability and climate change challenges, an increasing concern is voiced on local quality of life and neighbourhood liveability. In recent urban studies, human well-being, satisfaction and happiness studies are gaining much popularity in a local context (the ‘microcosmic city’). The present study seeks to identify the determinants of the residents’ appreciation for their daily environment, called here ‘city love’. The latter concept captures both tangible or material aspects of city life (‘body’) and immaterial and emotional dimensions of local quality of life (‘soul’). The present paper seeks to develop and test a new quantitative ‘city love’ concept, inspired by the soul and body conceptualisation of urban attractiveness for residents and visitors – based on a novel ‘feelgood’ index (FGI) and a ‘human habitat’ index (HHI) –, with a view to map out the citizens’ contentment or appreciation (called neighbourhood love index – NLI) at a district or neighbourhood scale in the city of Rotterdam. Our study utilises data from a quantitative survey among thousands of residents located in 63 neighbourhoods in this city. In addition, the Rotterdam dataset contains not only survey data, but also register data on these neighbourhoods, e.g., real-estate values, crime statistics, and socio-demographics, while geographical information from OpenStreetMap (OSM) is added as a complement. In addition to a multivariate analysis of the rich data set, the paper employs also a quantile regression analysis extended with fixed effects. The results show that the coefficients of the feelgood index (FGI) and the human habitat index (HHI) decrease slightly as we move up the distribution of the neighbourhood love index (NLI). This means that physical and functional aspects of neighbourhoods, e.g., access to such amenities as public transportation, sport facilities, and also streets with diverse attractions or bikeable and walkable road networks, become more important for the lower end of the distribution of the neighbourhood love index (NLI). Our neighbourhood-specific analyses show that the Rotterdam districts and neighbourhoods differ substantially in many physical and social-emotional respects, which calls for place-based policies and sub-local well-being initiatives.