| URN | etd-0201121-155447 | Statistics | This thesis had been viewed 130 times. Download 8 times. |
| Author | Ping-Ju Hsieh | ||
| Author's Email Address | t7350328@gmail.com | ||
| Department | Institute of Industrial Management | ||
| Year | 2021 | Semester | 1 |
| Degree | Master | Type of Document | Master's Thesis |
| Language | zh-TW.Big5 Chinese | Page Count | 56 |
| Title | A Study on the Development of Leisure Healing by Smart Tourism Routes for Cycling Ocean Tourism Blue Highway | ||
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| Abstract | The estuary and coastal areas of the Erren River Basin in Kaohsiung City provide tourists with different special itinerary services according to geographical location and resource environment. Under the competition of many coastal areas, how to find their own competitive advantages is a very important issue. However, when planning a bicycle tour, it is not affected by factors such as time, distance, and funding. Therefore, how to choose preferred bicycle sightseeing spots under limited time and resource conditions and plan a trip with unique value is an important information for the planning of providing a diversified introduction of bicycle sightseeing and recreational resources, and it can also be used as a blue ocean sightseeing bicycle. The basis for the development of scenic spots on highway tours. However, in the past, there were very few conditions and restrictions on the design and planning of bicycle sightseeing tours. Therefore, this paper tries to take the tour of a place as a case, and introduces the shortest path and cost minimization model, based on the conditional restrictions of this model, seeks to optimize the path The itinerary design solution. The core density analysis map of bicycle natural attractions sightseeing resources in Errenxi Qilian area, the distribution of bicycle natural attractions sightseeing resources in Qilian area, after GIS core density analysis, according to the darkest color is the densest bicycle natural attractions sightseeing resources, and the lightest color The local representative is that the bicycle natural scenic spots have fewer sightseeing resources. This picture can clearly see that in the analysis of the tourist density of the bicycle natural spots, the darker color is the eggplant wetland and surrounding areas. The tourist density analysis map of bicycle humanities attractions, the distribution of bicycle humanities attractions in Errenxi Qilian area, after GIS kernel density analysis, according to the darkest color is the dense humanity attractions, and the lightest color represents the bicycle humanities attractions. It can be clearly seen from this picture that in the analysis of the tourist density of bicycle cultural attractions, the darker color is between the Qiqi Wetland and Errenxi. This research proposes that the bicycle planning route plan chooses a total of three routes, which are divided into three routes, which are divided into two groups: the sampan raft association to the Xingda sightseeing fish market (green line), the sampan wetland to the Zhuhuwei salt field (blue line), and the sampan tourism association to the xingda xingda Lover’s Wharf (brown line), and analyzed in terms of "distance", "number of attractions", and "recreation comfort (shading)". This study interviewed local experts including the office of the local legislator and the neighborhood director of the Community Development Association , And the expert opinions are consistent with the final data calculation of the geographic information system path analysis. According to the local demand and development decision, the best plan is finally selected: Option 2> Option 3> Option 1. Line) plan can be used as the first planned route. Keywords: Bicycle, Ocean Tourism, Smart Tourism, Eco-tourism, Geographic Information System |
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| Files | indicate access worldwide | ||
| Date of Defense | 2011-01-13 | Date of Submission | 2021-02-02 |