In leisure spaces, particularly theme parks and museums, researchers and managers have long been using simulation tools to tackle the big issue associated with attractiveness, flow management. In this research, we present the management and planning perspective of a multi-agent simulation tool which models the behavior of skiers in a ski-area. This is the first tool able to simulate and compare management and planning scenarios as well as their impacts on the comfort of skiers, in particular ski-area waiting times. This paper aims to integrate multiple data sources to calibrate the simulation on a real case study. An original field survey of users during a week details the skier population. The first average skier speeds are calculated from GPS data on one ordinary day. The validation data are used to calibrate the parameters of the behavioral model. A demonstration of the simulation tool is conducted on the La Plagne ski-area, one of the largest in France. A test case, the construction of new housing in a station near the ski-area, is conducted. An addition of 1620 new skiers delays the skier average waiting time by 12 pourcents.
翻译:在休闲空间,特别是主题公园和博物馆,研究人员和管理人员长期以来一直使用模拟工具来解决与吸引力、流动管理有关的重大问题。在这项研究中,我们展示了模拟滑雪者在滑雪区行为模型的多试剂模拟工具的管理和规划视角。这是第一个能够模拟和比较管理和规划情景及其对滑雪者舒适度,特别是滑雪区等候时间的影响的工具。本文旨在整合多种数据来源,以校准模拟真实案例研究。最初对用户进行的为期一周的实地调查详细介绍了滑雪者人数。第一次平均滑雪者速度从普通一天的全球定位系统数据中计算。验证数据用于校准行为模型的参数。模拟工具的演示是在法国最大的滑雪区之一的La Plagne滑雪区进行。一个测试案例是,在滑雪区附近的一个站建造新住房。此外,还有1620名新的滑雪者将滑雪者的平均等待时间推迟了12个灌注点。