ABSTRACT

The fear of infection of COVID-19 among people has greatly reduced their intention to travel, which needs a deeper understanding to aid the policy-makers in framing robust guidelines to ensure safe travel. This paper aims to present a critical understanding of the traveler’s willingness to reduce their trip frequency, using psycho attitudinal analysis of the variables impacting the travel behavior. For this purpose, a web-based survey was conducted across India, and demographic, socio economic and psycho-attitudinal data was collected from 410 individuals, from across 21 states of India. Information regarding the psycho-attitudinal data was collected using a set of indicators. After extraction of latent factors from these indicators using factor analysis, factor scores were determined for each individual for these latent factors. Subsequently, ordered logistic regression models were used to understand the influence of these pandemic-oriented variables upon an individual’s intention to travel for essential, recreational and work trips. In the estimation results, majority of the respondents showed a willingness to reduce their essential and recreational trips compared with work trips. The awareness regarding the disease and the regionality of respondents showed a significant influence on their decision. The study concludes by presenting the policy implications of the analysis.

摘要

人们对感染 COVID-19 的恐惧大大降低了他们的旅行意愿，这需要更深入的了解，以帮助决策者制定强有力的指导方针，以确保安全旅行。本文旨在通过对影响旅行行为的变量的心理态度分析，对旅行者减少旅行频率的意愿提出批判性的理解。为此，在印度进行了一项基于网络的调查，从印度 21 个邦的 410 人中收集了人口、社会经济和心理态度数据。使用一组指标收集有关心理态度数据的信息。在使用因子分析从这些指标中提取潜在因子后，为这些潜在因子确定每个个体的因子分数。随后，有序逻辑回归模型用于了解这些面向大流行的变量对个人进行基本、娱乐和工作旅行的意图的影响。在估计结果中，与工作旅行相比，大多数受访者表示愿意减少他们的基本旅行和休闲旅行。对疾病的认识和受访者的地域性对他们的决定有显着影响。该研究最后介绍了分析的政策含义。与工作旅行相比，大多数受访者表示愿意减少基本旅行和休闲旅行。对疾病的认识和受访者的地域性对他们的决定有显着影响。该研究最后介绍了分析的政策含义。与工作旅行相比，大多数受访者表示愿意减少基本旅行和休闲旅行。对疾病的认识和受访者的地域性对他们的决定有显着影响。该研究最后介绍了分析的政策含义。