Location-Based Services Data

Estimating Point of Interests (POI) Visit Demand using Location-Based Services (LBS) Data and Large-Language Models (LLMs)

Estimating demands to points of interests (POI) involves predicting the number of visitors to specific locations, such as restaurants, retail stores, parks, or cultural sites like museums. Unlike traditional travel demand models, which focus on large zones (e.g., Transportation Analysis Zones (TAZ) or census tracts) for long-term planning such as transit network, POI visits estimation […]

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An Application-Agnostic Investigation of Location-Based Services Data Quality: Using Synthetic Data and Empirical Benchmarking

Over the past decade, the widespread adoption and use of mobile services and devices have enabled the large‑scale, passive collection of human location data. The most widely available of these, termed location‑based services (LBS) data, are largely GPS enabled location “pings” collected from third party smartphone applications. These data have already proven to be useful

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