Applying Linear Regression Analysis to Identify Willingness of Using Environment-Friendly Electric Motorcycle-Sharing for Tourism Activities: A Case Study of GoShare
This study aimed to evaluate tourist characteristics, rental factors, non-rental factors, and use intention of shared motorcycles in tourism activities. Linear regression analysis was used to compare the differences and influences of variables. A convenience sampling survey method was adopted to inv...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/38/1/57 |
| _version_ | 1797580255311953920 |
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| author | You-Jie Huang Sing-Yu Jhuang Yi-Shin Lin Ho-Yi Chan |
| author_facet | You-Jie Huang Sing-Yu Jhuang Yi-Shin Lin Ho-Yi Chan |
| author_sort | You-Jie Huang |
| collection | DOAJ |
| description | This study aimed to evaluate tourist characteristics, rental factors, non-rental factors, and use intention of shared motorcycles in tourism activities. Linear regression analysis was used to compare the differences and influences of variables. A convenience sampling survey method was adopted to investigate GoShare motorcycle-sharing service. Questionnaires were distributed to 271 respondents aged 20–29 years old who used motorcycles in tourism. With data descriptive statistics, <i>t</i>-test, one-way analysis of variance, and regression analysis were conducted, and four main results were obtained: (1) The respondents tended to follow a “Freestyle travel” type. (2) As a rental factor, “Environmental Efficiency” was the most important. (3) “Renting is not easy” was the most important reason not to rent a motorcycle. (4) Tourist characteristics and rental factors impacted use intention significantly. Therefore, the following suggestions were made in this study: it is necessary to (1) strengthen the promotion of the GoShare motorcycle-sharing service, (2) enhance the quality of the rental service, (3) improve the mobile application, and (4) focus on in-depth tourism and expand the services at scenic spots. |
| first_indexed | 2024-03-10T22:47:41Z |
| format | Article |
| id | doaj.art-ccc61cd51bff4f249ea4df3453bdf731 |
| institution | Directory Open Access Journal |
| issn | 2673-4591 |
| language | English |
| last_indexed | 2024-03-10T22:47:41Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj.art-ccc61cd51bff4f249ea4df3453bdf7312023-11-19T10:34:27ZengMDPI AGEngineering Proceedings2673-45912023-06-013815710.3390/engproc2023038057Applying Linear Regression Analysis to Identify Willingness of Using Environment-Friendly Electric Motorcycle-Sharing for Tourism Activities: A Case Study of GoShareYou-Jie Huang0Sing-Yu Jhuang1Yi-Shin Lin2Ho-Yi Chan3Department of Leisure Service Management, Chaoyang University of Technology, Taichung 413, TaiwanDepartment of Leisure Service Management, Chaoyang University of Technology, Taichung 413, TaiwanDepartment of Living Sciences, National Open University, Nantou 247, TaiwanDepartment of Leisure Service Management, Chaoyang University of Technology, Taichung 413, TaiwanThis study aimed to evaluate tourist characteristics, rental factors, non-rental factors, and use intention of shared motorcycles in tourism activities. Linear regression analysis was used to compare the differences and influences of variables. A convenience sampling survey method was adopted to investigate GoShare motorcycle-sharing service. Questionnaires were distributed to 271 respondents aged 20–29 years old who used motorcycles in tourism. With data descriptive statistics, <i>t</i>-test, one-way analysis of variance, and regression analysis were conducted, and four main results were obtained: (1) The respondents tended to follow a “Freestyle travel” type. (2) As a rental factor, “Environmental Efficiency” was the most important. (3) “Renting is not easy” was the most important reason not to rent a motorcycle. (4) Tourist characteristics and rental factors impacted use intention significantly. Therefore, the following suggestions were made in this study: it is necessary to (1) strengthen the promotion of the GoShare motorcycle-sharing service, (2) enhance the quality of the rental service, (3) improve the mobile application, and (4) focus on in-depth tourism and expand the services at scenic spots.https://www.mdpi.com/2673-4591/38/1/57motorcycle sharingtourist characteristicsrental factoruse intentionlinear regression analysis |
| spellingShingle | You-Jie Huang Sing-Yu Jhuang Yi-Shin Lin Ho-Yi Chan Applying Linear Regression Analysis to Identify Willingness of Using Environment-Friendly Electric Motorcycle-Sharing for Tourism Activities: A Case Study of GoShare Engineering Proceedings motorcycle sharing tourist characteristics rental factor use intention linear regression analysis |
| title | Applying Linear Regression Analysis to Identify Willingness of Using Environment-Friendly Electric Motorcycle-Sharing for Tourism Activities: A Case Study of GoShare |
| title_full | Applying Linear Regression Analysis to Identify Willingness of Using Environment-Friendly Electric Motorcycle-Sharing for Tourism Activities: A Case Study of GoShare |
| title_fullStr | Applying Linear Regression Analysis to Identify Willingness of Using Environment-Friendly Electric Motorcycle-Sharing for Tourism Activities: A Case Study of GoShare |
| title_full_unstemmed | Applying Linear Regression Analysis to Identify Willingness of Using Environment-Friendly Electric Motorcycle-Sharing for Tourism Activities: A Case Study of GoShare |
| title_short | Applying Linear Regression Analysis to Identify Willingness of Using Environment-Friendly Electric Motorcycle-Sharing for Tourism Activities: A Case Study of GoShare |
| title_sort | applying linear regression analysis to identify willingness of using environment friendly electric motorcycle sharing for tourism activities a case study of goshare |
| topic | motorcycle sharing tourist characteristics rental factor use intention linear regression analysis |
| url | https://www.mdpi.com/2673-4591/38/1/57 |
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