# data[].attributes.body
Relevant indicators are of those that indicate local people and tourist having positive perception towards each other.

# data[].attributes.body
appropriate
1 4 6 7 8 9 10 12 13 14 15 16 17 19 20 21 22 23 24 26
inapplicable
2 3 5 11 18 25

# data[].attributes.body
APPROPRIATE
1) Economic Sustainability
1. Increase employment opportunities ; I think CBT can provide a job for local people.
4.
5. (if the Gov did not support or investment need to have a positive effect on local area)
2) Socio-cultural Sustainability
6.
7.
8.
9.
10.
11. (like car park, toilets - sth that make this community for a better tourist) attraction)
3) Environmental Sustainability
12.
13.
14.
4) Quality of life satisfaction
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
25.
26.
INAPPLICABLE
1) Economic Sustainability
2.  Increase shopping opportunities ; This area should focus on cultural life, and I think there did not have product for selling.
3.
2) Socio-cultural Sustainability

3) Environmental Sustainability

4) Quality of life satisfaction

# data[].attributes.body
Conduct an interview survey with sample being local people.

# data[].attributes.body
Use statistical approach to estimate relevancy between data. Then, use estimated relevancy to indicate level of CBT of the areas.

# data[].attributes.body
appropriate
1.
2.
3.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
19.
20.
21.
23.
24.
26.
inapplicable
4.
5.
18.
22.
25.
I think these indicators like promote local business opportunity and satisfaction with neighbors are difficult to collect the data , having a individually bias perception and 25. Life are excellent, the criteria is hard to determine and ambiguous

# data[].attributes.body
appropriate indicators
1. Increases employment opportunities

4. Promote local business opportunities

6. Participate in cultural activities

7. Develop cultural activities

8. Preserve the local culture

9. Cultural exchanges

10. Positive effects on cultural identity

11. Increases facilities

12. Protect the natural environment and wildlife habitats

13. Protect the community's biodiversity

14. Increase environmental awareness

16. Safety well-being

19. Satisfaction with spiritual

20. Satisfaction with cultural life

22. Satisfaction with neighbors

24. Standard of living

26. Overall life satisfaction

Inapplicable indicators
2. Increases shopping opportunities
3. Increase local government tax revenues
5. Attracts more investment opportunities
15. Health well-being
17. Family satisfaction

18. Satisfaction with leisure
21. Satisfaction with social life
22. Satisfaction with neighbors
23. Satisfaction with housing

# data[].attributes.body
New indicators that should be considered to add are 1. Local people acceptance towards tourists 2. Tourists understand and respect local cultures 3. Have low proportion of private tourism industry in the area.

# data[].attributes.body
- Via questionnaire/interview
- Using data collection from Government for analysis collaborate with questionnaire/interview

# data[].attributes.body
Appropriate: 1 4 5 6 7 8 9 10 11 12 13  14 15 16 17 18 19 20 24 25 26
inapplicable: 2 3 21 22 23

# data[].attributes.body
-Investigate the attitudes of tourists and local residents through questionnaires and interviews, and use some quantitative methods

# data[].attributes.body
Using a questionnaire and take a depth-interview by sampling in two-group demography (tourists and locals), using some quantitative and qualitative methods and comparing between two groups

# data[].attributes.body
Interview the local residents

Interview the tourists

Perform data analysis

# data[].attributes.body
i think the first step should be figure out the internal relationship among the four main dimensions and the proportion in the evaluation. After that, we could study the correlation and mutual influence of different indicators in each dimension

# data[].attributes.body
- Tourist environmentally responsible behaviour

- Assessment for technological issue like transportation
- subjective feelings of the locals towards tourism

- Long term study to access the changes of the factor affecting sustainability

# data[].attributes.body
After we derived a data collection, we use a hypothesis test and correlation to look for a relation between each indicator and two-group demography

# data[].attributes.body
New indicators
1. tourists practice of local activities
2. gathering activities within the community
3. management agreement
4. abundance of environment
5. responsibility all of part of tourism
6. partnership from government or private sector
7. supportive from government or private sector