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Demand Forecasting in Transport: Overview and Modeling Advances

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  • Theodore Tsekeris
  • Charalambos Tsekeris

Abstract

The main purpose of this paper is to comprehensively explore and productively overview the growing research field of demand forecasting in transport. In this analytic context, it seeks to describe, critically discuss and fruitfully elaborate on relevant mechanisms and models of demand forecasting, as well as on the particular development and implementation of systematic (or system-wide) approaches. The overview of various theoretical and methodological developments in current prediction models eventually advocates the use of consumer demand models (of dynamic character) to predict demand shares among alternative modes of transport.

Suggested Citation

  • Theodore Tsekeris & Charalambos Tsekeris, 2011. "Demand Forecasting in Transport: Overview and Modeling Advances," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 24(1), pages 82-94, January.
    • Handle: RePEc:taf:reroxx:v:24:y:2011:i:1:p:82-94
    DOI: 10.1080/1331677X.2011.11517446
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    Cited by:

    1. Wu, Zhen & Woo, Su-Han & Lai, Po-Lin & Chen, Xiaoyi, 2022. "The economic impact of inland ports on regional development: Evidence from the Yangtze River region," Transport Policy, Elsevier, vol. 127(C), pages 80-91.
    2. Feiyan Han & Daming Wang & Bo Li, 2019. "Spillover Effects of Ports and Logistics Development on Economic Power: Evidence from the Chinese BTH Regions," Sustainability, MDPI, vol. 11(16), pages 1-17, August.
    3. Banerjee, Nilabhra & Morton, Alec & Akartunalı, Kerem, 2020. "Passenger demand forecasting in scheduled transportation," European Journal of Operational Research, Elsevier, vol. 286(3), pages 797-810.

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