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Activity participation, episode duration and stop-making behavior of pilgrims in a religious event: An exploratory analysis
Journal of Choice Modelling ( IF 2.8 ) Pub Date : 2021-01-11 , DOI: 10.1016/j.jocm.2021.100267
Ashish Verma , Meghna Verma , Punyabeet Sarangi , Vivek Yadav , Manoj M

Activity travel pattern of pilgrims in a religious setting is a complex process. Extant literature on religious tourism has taken minimal efforts in addressing such complexity, which has led to a paucity of information on preferred activity participation destinations and trip chain sequences of pilgrims. So, the present research objective is two-fold. First, to examine the causal effects of socio-demographics and daily local temperature on activity participation, trip chain type, and time allocation of individuals using structural equation modeling (SEM) that can help identify the dominant activity patterns. Second is to explore the impact of socio-demographic variables and activity patterns on the propensity of stop-making behavior using an ordered logit (OL) framework to better plan and manage the influx of flows. The primary data was collected using an activity-travel diary by taking the case study of the Kumbh Mela event, which is considered as the world's largest mass religious gathering, held at Ujjain, India, in 2016. From the results, it is observed that Males have a lower tendency to take multiple stops for primary religious activities and have simple trip chains. An increase in the members of a family visiting Kumbh decreases their overall time spent across various activities. As the mercury (temperature) rises, it reduces tourist's participation in recreational and discretionary activities. Individuals who participate in primary and secondary religious activities tend to spend more time at Kumbh as compared to individuals who primarily visit for recreational purposes. These empirical findings provide meaningful insights for managing large religious events.



中文翻译:

宗教事件中朝圣者的活动参与,发作持续时间和制止行为:探索性分析

朝圣者在宗教环境中的活动旅行方式是一个复杂的过程。关于宗教旅游业的现有文献为解决这种复杂性付出了最小的努力,这导致缺乏关于偏爱的活动参与目的地和朝圣者旅行链顺序的信息。因此,目前的研究目标是双重的。首先,使用有助于确定主要活动模式的结构方程模型(SEM),研究社会人口统计学和每日局部温度对活动参与,旅行链类型和个人时间分配的因果关系。第二是使用有序logit(OL)框架探索社会人口统计学变量和活动模式对制止行为倾向的影响,以更好地计划和管理流量的流入。使用活动旅行日记,通过对Kumbh Mela事件的案例研究收集了主要数据,该事件被认为是2016年在印度乌U举行的世界上最大的大规模宗教聚会。从结果可以看出,男性倾向于多次停下来进行主要的宗教活动,并有简单的旅行链。拜访Kumbh的家庭成员的增加减少了他们在各种活动中花费的总时间。随着汞(温度)的升高,它会减少游客参与娱乐和自由活动的机会。与主要出于娱乐目的而访问的人相比,参加初级和中级宗教活动的人在库姆花费的时间往往更多。

更新日期:2021-01-20
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