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Authors: Andreas Papayiannis ; Paul Johnson and Peter Duck

Affiliation: University of Manchester, United Kingdom

Keyword(s): Lead Time, Booking Curve, Pick Up.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Automation of Operations ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Forecasting ; Health Engineering and Technology Applications ; Knowledge-Based Systems ; Methodologies and Technologies ; Operational Research ; Pattern Recognition ; Software Engineering ; Symbolic Systems

Abstract: Accurate forecasts of customer demand lie at the core of any successful revenue management system. Most research has focused upon studying such methods for the airline and hotel industry. In this paper, we present a comparative analysis of various forecasting methods which we apply to the rapidly evolving airport carparking (ACP) industry. We use real ACP booking data from four distinct carparks of a major airport in UK to forecast customer arrivals for one to eight weeks out in the future. Conclusions are reached with regards to which forecasting methods perform best in this operating environment, and whether there is any benefit in employing complex methods over simpler ones.

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Paper citation in several formats:
Papayiannis, A.; Johnson, P. and Duck, P. (2016). A Comparative Analysis of Pickup Forecasting Methods for Customer Arrivals in Airport Carparks. In Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-171-7; ISSN 2184-4372, SciTePress, pages 15-24. DOI: 10.5220/0005631900150024

@conference{icores16,
author={Andreas Papayiannis. and Paul Johnson. and Peter Duck.},
title={A Comparative Analysis of Pickup Forecasting Methods for Customer Arrivals in Airport Carparks},
booktitle={Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES},
year={2016},
pages={15-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005631900150024},
isbn={978-989-758-171-7},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES
TI - A Comparative Analysis of Pickup Forecasting Methods for Customer Arrivals in Airport Carparks
SN - 978-989-758-171-7
IS - 2184-4372
AU - Papayiannis, A.
AU - Johnson, P.
AU - Duck, P.
PY - 2016
SP - 15
EP - 24
DO - 10.5220/0005631900150024
PB - SciTePress

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