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Where We Rate: The Impact of Urban Characteristics on Digital Reviews and Ratings
Published 2025-01-01“…It highlights the utility of integrating urban mobility and spatial data to model digital consumer behavior, offering potential urban planning and business strategies. By analyzing Melbourne’s city center, we evaluate how factors, such as pedestrian count by sensors on the streets, residential density, the centralities and geometric properties of streets, and place-specific characteristics, influence consumer reviews and ratings on Google Maps. …”
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LingoTrip: Spatiotemporal context prompt driven large language model for individual trip prediction
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Effects of Repeated Cisplatin and Monosodium Glutamate on Visceral Sensitivity in Rats
Published 2024-12-01Get full text
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On the Static Stability and Seakeeping Performance of a Submerged Floating Tunnel Module in Wet Tow
Published 2025-01-01Get full text
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A Data Quality Control Program for Computer-Assisted Personal Interviews
Published 2012-01-01Get full text
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Towards Privacy-Aware and Trustworthy Data Sharing Using Blockchain for Edge Intelligence
Published 2023-12-01Get full text
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Analysis of school bullying menace incorporating family education: a mathematical modeling approach
Published 2025-01-01Get full text
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