Speaker
Description
With the rapid development of global transportation infrastructure, station areas have become critical nodes in multi-scale transportation networks. However, research on the impact of multi-scale accessibility on functional configuration and development intensity in station areas remains insufficient. This study employs multi-centrality analysis to quantify the positional characteristics of station areas within regional railways, metropolitan railways, urban transit, and urban road networks. Using the Vlinder Model illustrates the hierarchical node-place characteristics of 18 European station areas. Regression analysis is conducted to reveal the mechanisms by which multi-scale accessibility features influence the functional configuration and development intensity of station areas. The findings indicate that macro-accessibility represented by regional rail networks has the most significant impact on functional configuration, while micro-accessibility represented by urban road networks has the greatest influence on development intensity. This research provides new theoretical insights and empirical support for the planning and development of station areas.
| Keywords | Station areas; multi-scale accessibility; multi-centrality analysis; node-place model |
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