Long-Term Forecasts of Statewide Travel Demand Patterns Using Large-Scale Mobile Phone GPS Data: A Case Study of Indiana
By Rajat Verma, Eunhan Ka, Satish V. Ukkusuri
Rating
1277
Battle Count: 65
Relevance
2/10
Limited direct relevance, but methodology of using large-scale location data could be adapted for financial applications
Implementation Complexity
7/10
Requires processing of large-scale GPS data and integration with traditional modeling techniques
Reproducibility
3/5
Methods are described in detail, but full dataset not available
About this paper
Methodology: Four-step planning model with GPS data. Problem types: Regression, Time Series Forecasting.
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