Simulating Large-Scale Events as a Network of Heterogeneous Queues: Framework and Application

Abstract

Large-scale planned special events (PSEs) can pose unique transportation and logistics challenges. Data collection and simulation are important tools to address these challenges, although they are often difficult because of event size and complexity. This paper discusses methods to address the challenge of multimodal simulation at large PSEs through the context of AirVenture, a large week-long airshow organized by the Experimental Aircraft Association in Oshkosh, Wisconsin. Sampling and data collection techniques are discussed for a variety of modal processes like private vehicles, pedestrians, and shuttles, and for different situations like vehicle arrivals and departures, pedestrian queues, and shuttle systems. A flexible simulation framework for integrating these three modes and numerous activities is developed as a network of heterogeneous queues and queue-dependent choices. The simulation tested a variety of proposed policy changes around the site, including rerouting shuttle lines, and adjusting the system of vehicle arrivals to the site. Results of this study demonstrate the effectiveness and flexibility of the data collection and simulation methodologies. The techniques developed in this work can be used to improve planning and transportation systems at many other forms of PSE.

An empirical investigation into people’s intention to participate in mega events tourism: applying mixture of two behavioral theoretical models

“…The expanding global industry for events tourism includes both the events component and the wider financial impact of such travel [ 32 , 141 ]. While experts cannot agree on a single definition of events tourism [ 14 ], some researchers feel that enjoyment and distinctiveness are two components of events tourism.…”