埃塞俄比亚亚的斯亚贝巴新冠肺炎疫情对公共交通运营商的驾驶行为和客户处理产生了怎样的影响:保护动机理论的视角?

IF 2.4 Q3 ENVIRONMENTAL SCIENCES
Kassa Moges Tareke
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引用次数: 1

摘要

新冠肺炎疫情对世界各地的交通运营等人类生活和经济部门的方方面面都产生了影响。本文试图调查新冠肺炎流行因素如何影响埃塞俄比亚亚的斯亚贝巴市城市公共交通运营商的驾驶和客户处理行为。为此,使用混合研究、研究前/研究后设计和保护动机理论(PMT)的框架来指导开发、量化和分析与疫情相关的结构对驾驶和客户处理行为的因果关系。检查的驾驶行为变量包括新冠肺炎大流行爆发前和期间的超速、急刹车和酒后驾驶事件。在为客户提供友好处理和照顾的水平方面,客户处理也得到了操作。因此,主要数据是通过对143家随机选择的公共交通运营商的交通调查收集的,这些运营商包括城市公交车、中型公交车、小巴、bajajs和轻轨交通。此外,使用偶然性指数、likert量表和二元逻辑回归模型来估计和预测影响驾驶和客户处理行为的最重要因素。研究结果表明,新的新冠肺炎大流行和应对措施相关因素是影响大流行期间驾驶行为的最重要因素。驾驶频率和意图以及驾驶决策或选择都受到了显著影响和减少。由于与疫情相关的因素,与新冠疫情前相比,疫情期间超速和刹车等恶劣驾驶行为变得更加频繁。此外,恶劣的驾驶行为与其他因素之间的相关性非常显著,主要是行驶距离、在危险的夜间驾驶以及驾驶要求。此外,由于新冠肺炎、政府措施和驾驶行为变化的影响,客户的处理和照顾行为主要不友好。研究结果表明,PMT的表现是相关的,它可以为理解这种影响分析的研究提供信息和指导。因此,政策制定者必须从新冠肺炎的惨痛教训中吸取教训,并在准备、预防和应对方面进行大胆投资,包括泛人群敏感战略和以客户为导向的战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How the driving behaviors and customer handling of public transportation operators have been impacted by the COVID-19 pandemic in Addis Ababa, Ethiopia: the perspective of protection motivation theory?
The COVID-19 pandemic has had an impact on every aspect of human life and economic sectors such as transportation operations around the world. This paper tries to investigate how COVID-19 pandemic factors influenced the driving and customer handling behaviors of urban public transportation operators in Addis Ababa city, Ethiopia. To that end, a framework of mixed research, pre/post study design, and protection motivation theory (PMT) was used to guide the development, quantification, and analysis of the causal relationships of pandemic-related constructs on driving and customer handling behaviors. The examined driving behavior variables included harsh speeding, harsh braking, and drink-drive events concerning the time period before and during the COVID-19 pandemic outbreak. Customer handling was also operationalized in terms of the level of friendly handling and care provided to customers. As a result, primary data were collected through transport surveys on 143 randomly selected public transit operators, including city buses, midsize buses, minibuses, bajajs, and light rail transits. Furthermore, contingency indexes, likert scales, and binary logistic regression models were used to estimate and predict the most significant factors that affected driving and customer handling behavior. Findings showed that the new COVID-19 pandemic and response measure-related factors were the most significant factors impacting driving behavior during the pandemic. Driving frequencies and intentions, as well as driving decisions or choices, were significantly influenced and reduced. Due to the pandemic-related factors, harsh driving behaviors such as harsh speeding and braking became more frequent during the pandemic compared to the pre-COVID period. Additionally, the correlation between harsh driving behavior and other factors, mainly trip distance traveled, driving during risky nighttime hours, and driving requests, was significant. Furthermore, due to the impacts of COVID-19, government measures, and changes in driving behavior, customer handling and care behaviors were predominantly unfriendly. Findings revealed that the performance of PMT was relevant, and it could inform and guide studies to understand such an impact analysis. Thus, policymakers must learn from the harsh lessons of COVID-19 and make bold investments in preparedness, prevention, and response, including pandemic-sensitive strategies and customer-oriented strategies.
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来源期刊
CiteScore
4.00
自引率
7.10%
发文量
176
审稿时长
13 weeks
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