Abstract

Principles of social sustainability serve to guide urban regeneration programmes around the world. Increasingly, the upholding of these principles is subject to qualified evaluation and monitoring. One of the cornerstones of social sustainability is access to basic services. This is also a strategic and operational objective in urban regeneration measures. While indicator-based evaluations of accessibility do exist, hitherto they have tended to apply descriptive statistics or density parameters only. Therefore, there is a need for small-scale, regularly updated information on accessibility, such as the nearest facility based on street networks and population density. This deficit can often be attributed to the complex methodological requirements. To meet this need, our article presents a method for determining the spatial accessibility of basic services with low data requirements. Accessibility is measured in walking time and linked to the local population distribution. More specifically, GIS tools in connection with land survey data are used to estimate the number of inhabitants per building; the walking time needed to reach four types of social amenity along the street network is then determined for each building; finally, a population-weighted accessibility index is derived and mapped in a 50-m grid. To test this method, we investigated four urban regeneration areas in Dresden, Germany. The results show that with freely available geodata, it is possible to identify neighbourhoods and buildings with both high population densities and poor accessibility to basic services. Corresponding maps can be used to monitor urban regeneration measures or form a basis for further action.

Highlights

  • In view of current disparities between prosperous, eco‐ nomically thriving neighbourhoods and those which are socially disadvantaged, urban regeneration “is increas‐ ingly seen as being anchored within the sustain‐ able development agenda and should tackle physical, social, economic and environmental issues together”Urban Planning, 2021, Volume 6, Issue 4, Pages 189–201(Colantonio & Dixon, 2009, p. 19)

  • Our research focuses on four neighbourhoods represent‐ ing regeneration areas within the city of Dresden (DD), Germany: DD‐Pieschen, DD‐Neustadt, DD‐Friedrichstadt, and DD‐Löbtau

  • The second layer indicates the accessibility of the four social amenities (Figures 3 to 6), representing the aver‐ age number of minutes that each person within a 50‐m grid cell must walk to reach the nearest amenity

Read more

Summary

Introduction

In view of current disparities between prosperous, eco‐ nomically thriving neighbourhoods and those which are socially disadvantaged, urban regeneration “is increas‐ ingly seen as being anchored within the sustain‐ able development agenda and should tackle physical, social, economic and environmental issues together”Urban Planning, 2021, Volume 6, Issue 4, Pages 189–201(Colantonio & Dixon, 2009, p. 19). At a more operational level, collaborative urban planning, pleasant urban environments and well‐balanced local economies and labour markets are regarded as just as important in securing socially sustainable urban regeneration as socio‐cultural factors and adequate institutional develop‐ ment (Müller et al, 2019; Nyseth et al, 2019). These principles are represented by various measures in individual regeneration approaches all across Europe and worldwide aimed at improving large, deprived mono‐ functional areas built after the Second World War or working‐class neighbourhoods erected at the end of the 19th century (Jensen & Munk, 2007; Wassenberg & van Dijken, 2011). Depending on the objective of the evaluation, most assessment techniques rely on quantitative or qualitative surveys, document analysis, workshops, case‐study analysis, or the calcula‐ tion of a comprehensive set of indicators (Bundesinstitut für Bau‐, Stadt‐ und Raumforschung & Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety, 2016; European Commission, 2021; Stadt Heidelberg, 2019; Thüringer Ministerium für Infrastruktur und Landwirtschaft, 2020)

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call