Activity-based Travel Demand Analysis

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Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2017, background): “From this point of view, the activity-based model—the state-of-the-art approach in transportation planning— considers travel demand as the derived needs to conduct activities [30], [31], [32], [33].”
A review of urban computing for mobile phone traces: current methods, challenges and opportunities (2013, background): “) induced by the needs of pursuing activities [35].”
Inverse optimization with endogenous arrival time constraints to calibrate the household activity pattern problem (2012, methodology): “In particular, the field of activity-based demand models (Kim, 2008; Pinjari and Bhat, 2011) tries to capture this behavior using a number of different methodologies.”
Origin-destination trips by purpose and time of day inferred from mobile phone data (2015, background): “Trips are induced by the need or desire to engage in activities (Pinjari and Bhat, 2011) and therefore understanding patterns and types of activities is crucial in estimating travel demand.”