Article-Journal

The impact of delayed urban rail projects on land prices in Hanoi, Vietnam
Uncovering the causal relationship between urban rail investments and the real estate market is critical for financing infrastructure …
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Do foundation models work for geospatial tabular data? An investigation of TabPFN and a proposed enhancement based on geospatial sparse attention
Large-scale pretrained foundation models have transformed the machine learning paradigm. However, their applicability to Geospatial …
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What factors drive the vitality of rail transit station areas? An investigation of urban features in Tianjin, China
Rail transit station areas function as high-traffic nodes that merge mobility with commerce, services, and public life. However, …
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Zero-shot traffic flow prediction with foundation models: a comparison with deep learning approaches
Traffic flow prediction plays an important role in managing urban transportation systems, helping to reduce congestion and improve road …
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