Since indigenous areas have profound ethnic culture and ecological significance and sensitivity, successful tourism development must consider the perceptions of the indigenous community in order to build a mutual relationship grounded on respect and feasibility. The local indigenous communities are influenced by both the positive and negative impacts of tourism. To recognize which tourism impacts are most anticipated and concerning, we determined which and to what extent tourism impacts affect indigenous hosts’ support of alternatives for tourism plans. We used discrete choice modeling in the experiment design for empirical data collection and used mixed-logistic regression to evaluate the influence of each impact on local residents’ perceptions. We rank the effects of socio-culture, economic, and environmental tourism impacts. Our findings suggest that culture-related impacts most improve indigenous residents’ tourism development support. The residents expect economic impacts on both the regional and local scales. However, the results show a willingness to accept pollution following increased tourism. The residents have an adverse opinion of practices that are likely to cause environmental damage. The potential for conflict between local residents and tourists is not important to the local residents. This study contributes essential information to the understanding of tourism impacts from an indigenous perspective.
Studies have suggested that visiting and viewing landscaping at hospitals accelerates patient’s recovery from surgery and help staff’s recovery from mental fatigue. To plan and construct such landscapes, we need to unravel landscape features desirable to different groups so that the space can benefit a wide range of hospital users. Using discrete choice modeling, we developed experimental choice sets to investigate how landscape features influence the visitations of different users in a large regional hospital in Taiwan. The empirical survey provides quantitative estimates of the influence of each landscape feature on four user groups, including patients, caregivers, staff, and neighborhood residents. Our findings suggest that different types of features promote visits from specific user groups. Landscape features facilitating physical activities effectively encourage visits across user groups especially for caregivers and staff. Patients in this study specify a strong need for contact with nature. The nearby community favors the features designed for children’s play and family activities. People across user groups value the features that provide a mitigated microclimate of comfort, such as a shelter. Study implications and limitations are also discussed. Our study provides information essential for creating a better healing environment in a hospital setting.
Forcipomyia taiwana, a bloodsucking midge that is one of the most irritating biting pests in Taiwan, has raised widespread public concern. However, we have little information about the extent to which landscape factors affect their potential habitats. As a result, landscape professionals do not have enough information to implement preventive strategies to control midges. The purpose of this study is to investigate the relationship between landscaping and algae growth for larval breeding sites of Forcipomyia taiwana. The intent is to determine the environmental strategies that make the planned landscape unsuitable for midges to breed. GIS based on data collected from 16 constructed landscape sites (317,187 m2 in total) was utilized to spatially examine the relationship between the occurrence of the algae for midge breeding sites and the ground surface types and planting characteristics in each landscape. The results revealed that the potential midge habitats can be controlled through careful selection of the ground surface, the improvement of the site drainage, and choosing plants with the appropriate characteristics. Apart from choosing the appropriate type of paving surface, the integrity of the paving installation and the coverage of the ecological surface also influence prevention efficacy.
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