Accessibility measurement of highway transportation networks based on closeness-accessibility
Yuanyuan Zhang, Weidong Song, Jinguang Sun, Peng Dai, Qing-Chang Lu, Qing-Chang Lu, Qing-Chang Lu, Qing-Chang Lu
TL;DR
This paper introduces a new method to measure highway accessibility using network science concepts, improving the evaluation of transportation efficiency and urban planning.
Contribution
A novel centrality measure called closeness-accessibility is proposed to better assess highway network accessibility.
Findings
Closeness-accessibility shows a linear relationship with gravity-based accessibility using different β values.
Higher node centrality correlates with greater accessibility, improving spatial analysis accuracy.
High accessibility areas in Liaoning are concentrated in coastal and central regions, with lower accessibility in the west.
Abstract
Accessibility is a central concept in transport geography research. Quantitative assessment of highway network accessibility aids in assessing road network efficiency, urban layout optimization, functional zoning and sustainable development. Current metrics for assessing accessibility primarily concentrate on examining the relationship between land use and transportation networks, overlooking the influence of trip demand and node centrality on highway network accessibility. To clarify these impacts, borrowing from concepts in network science, we propose a new centrality measure called closeness-accessibility. This approach utilizes closeness centrality of network nodes as a weight to assess the interaction potential between nodes, enhances the gravity-based accessibility of demand points based on trip time, and incorporates network connectivity to evaluate the impact of travel demand on…
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Taxonomy
TopicsUrban Transport and Accessibility · Urban Design and Spatial Analysis · Transportation Planning and Optimization