Bridging or separating? Co-accessibility as a measure of potential place-based encounters
Year: 2024
Type: article
Abstract: Accessibility is a widely used concept across various disciplines to evaluate the degree to which individuals can reach desired destinations. Conventionally, accessibility is determined by the attractiveness of a destination and the associated travel cost to reach it. However, existing place-based accessibility measures do not differentiate between destinations accessible to individuals from a single demographic group and those accessible to individuals from diverse demographic groups. We propose a measure to assess the potential of distinct destinations to bring different individuals and demographic groups together, defining this property as co-accessibility. We demonstrate how measuring co-accessibility can enhance existing accessibility measures, describe its components, and provide a mathematical formulation for quantifying it. To illustrate the practical application of our measure, we conduct a case study in Amsterdam, the Netherlands, comparing the accessibility and co- accessibility of various destinations. This sample case study highlights the complexities and challenges inherent in measuring co-accessibility. Building on existing literature and our analysis results, we discuss the potential implications of co-accessibility, identify key challenges in its assessment, and recommend directions for future research. • Accessibility measures exhibit isolation and homogeneity biases. • Co-accessibility is proposed as a new measure of potential place-based encounters. • Co-accessibility can mitigate biases in accessibility measures. • A mathematical formulation of co-accessibility is presented. • The model can be applied to different travel modes and population groups.
Source: Journal of Transport Geography
Institution: Delft University of Technology
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $2,770
Awards: G4410027007, G7703658090
OpenAlex ID: W4403450744
