Predicting transit ridership using an agent-based modeling approach

Md Mahmudul Huque Chayan and Cinzia Cirillo

Socio-Economic Planning Sciences, 2024, vol. 95, issue C

Abstract: Accurate ridership estimation is pivotal in the advancement of sustainable transit systems, be it for proposed or existing transit networks. A multitude of methods, including travel demand models, direct ridership models, and regression models, have been employed by practitioners and researchers to estimate ridership at both station and network levels. However, travel demand models, frequently utilized for new transit lines, exhibit intrinsic limitations due to their aggregate nature and complexity based on their types. Researchers have also identified deficiencies, such as the incapacity to capture small spatial resolutions and specific station characteristics, as these models are predominantly designed for large-scale analyses.

Keywords: Travel demand model; Land use model; MITO; MATSim; Purple line; Ridership (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:95:y:2024:i:c:s0038012124002301

DOI: 10.1016/j.seps.2024.102031

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