Goal pursuit theory is presented as an illustrative behavioral framework that models multiple goals in travel decisions across activity scheduling, vehicle ownership, and location choice applications.
Transportation , author=
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Large vision-language models applied to multi-scale remote sensing imagery can generate recommendations on built environment design, constructability, land use, and risks for smart city decision-making.
citing papers explorer
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Why Do We Need Travel Behavior Theory in the Age of AI? Multiple Goal Pursuit as an Illustrative Theory
Goal pursuit theory is presented as an illustrative behavioral framework that models multiple goals in travel decisions across activity scheduling, vehicle ownership, and location choice applications.
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Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models
Large vision-language models applied to multi-scale remote sensing imagery can generate recommendations on built environment design, constructability, land use, and risks for smart city decision-making.