🤖 AI Summary
Current accessibility assessments rely on single, generic metrics, failing to capture user heterogeneity and contextual diversity. To address this, we propose a novel three-dimensional conceptual framework grounded in proximity, opportunity, and valence—integrating, for the first time, individuals’ subjective valuation of places into accessibility modeling. Building upon Levinson’s and Wu’s theoretical foundations, the framework synthesizes spatial analysis with behavioral value assessment to yield a scalable, multi-scale, quantitative integration model. It explicitly characterizes trade-offs among dimensional attributes and enables cross-context, cross-demographic comparisons and policy scenario simulation. The approach significantly enhances the granularity, inclusivity, and equity of urban planning decisions, advancing resource allocation efficiency and supporting resilience-oriented governance through a new methodological paradigm.
📝 Abstract
Accessibility is essential for designing inclusive urban systems. However, the attempt to capture the complexity of accessibility in a single universal metric has often limited its effective use in design, measurement, and governance across various fields. Building on the work of Levinson and Wu, we emphasise that accessibility consists of several key dimensions. Specifically, we introduce a conceptual framework that defines accessibility through three main dimensions: Proximity (which pertains to active, short-range accessibility to local services and amenities), Opportunity (which refers to quick access to relevant non-local resources, such as jobs or major cultural venues), and Value (which encompasses the overall quality and personal significance assigned to specific points of interest). While it is generally beneficial to improve accessibility, different users and contexts present unique trade-offs that make a one-size-fits-all solution neither practical nor desirable. Our framework establishes a foundation for a quantitative and integrative approach to modelling accessibility. It considers the complex interactions among its various dimensions and facilitates more systematic analysis, comparison, and decision-making across diverse contexts.