持续性
结构方程建模
计划行为理论
背景(考古学)
控制(管理)
营销
心理学
服务质量
旅游行为
质量(理念)
人口
业务
服务(商务)
应用心理学
环境卫生
工程类
经济
地理
医学
运输工程
哲学
管理
考古
认识论
统计
生物
数学
生态学
作者
Hamid Mahmood Gelaidan,Abdullah Kaid Al‐Swidi,Muhammad Haroon Hafeez
出处
期刊:Sustainability
[Multidisciplinary Digital Publishing Institute]
日期:2023-07-19
卷期号:15 (14): 11266-11266
被引量:6
摘要
The importance of the sustainability concept has gained increasing attention from scholars and practitioners. In this context, the aim of this study was to examine the determinants of intention to continue to use the new Metro in Qatar, which is considered a sustainable mode of travel. Therefore, in this paper, a special attention was paid to certain variables, such as environmental concern, perceived quality, and perceived benefits. A quantitative method approach was employed, in which data were collected based on self-administered questionnaires. A total of 1334 Qatar residents responded to the survey questionnaire, and Structural Equation Modeling (SEM) was used for hypothesis testing. The results confirmed the direct effects of perceived behavioral control, social influence, and attitudes on the intention of residents to continue to use the Metro network in their travel. Moreover, perceived behavioral control was found to play a mediating role, enhancing the indirect relationship between perceived benefits and intention to continue to use the Metro network. More importantly, environmental concerns significantly and positively affected the attitudes and perceived behavioral control of travelers; furthermore, these variables presented a mediated influence—through service quality—on the intention to continue to use the Metro network. This study enriched the sustainability behavior literature by examining the influences of crucial factors. Thus, this study is considered of great value for policy-makers who hope to maximize the awareness level of environmental sustainability among the population, in order to encourage them to embrace changes in their lifestyle towards becoming more environmentally responsible.
科研通智能强力驱动
Strongly Powered by AbleSci AI