Suitability evaluation of tourism endowment destinations based on GIS： A case study of Hubei province

doi:10.14088/j.cnki.issn0439-8114.2021.03.033

Abstract

Abstract: The logarithmic fuzzy priority programming fuzzy analytic hierarchy process （LFPP-FAHP） was used to establish the evaluation index system for the development of tourism endowment destinations. With the ArcGIS software platform, using the 100 m×100 m grid as the basic unit, 25 major impact factors were selected to quantitatively evaluate the suitability of 17 cities and counties in Hubei province as tourism endowment destinations. The research showed that the suitability index range was 0.39~0.79, the median value was 0.59, and showed a good general suitability of each region in Hubei province. From the perspective of spatial distribution characteristics, the spatial distribution characteristics of the suitability of tourism endowment destinations in Hubei province were obvious, and the overall trend of the spatial distribution pattern was “three pillars” and gradually expanded outward; The spatial distribution structure presented fragmented structural features.

Key words: aged population phenomenon, tourism endowment, selection of destination, suitability evaluation, Hubei province

CLC Number:

X826
C913.6

YANG Yu-lan, TANG Jia-yao. Suitability evaluation of tourism endowment destinations based on GIS： A case study of Hubei province[J]. HUBEI AGRICULTURAL SCIENCES, 2021, 60(3): 161-166.

References

[1] 杨宜勇,关博.老龄化背景下推进养老保障供给侧结构性改革的思路[J].经济学家, 2017(3):97-104.
[2] SÁNCHEZ P. Sociología de la vejez versus economía de la vejez[J]. Papers: Revista de sociología,2000,61:39-88.
[3] COMMITTEE E P,COMMISSION E.The impact of ageing on public expenditure: Projections for the EU25 member states on pensions, health care, long-term care, education and unemployment transfers (2004—2050)[M]. EU: Publications office of the EU, 2006.
[4] VISCO I.Ageing and pension system reform: Implications for financial markets and economics policies[R]. OECD Publishing, 2005.
[5] RAMOS-SOLER I.El estilo de vida de las personas mayores y la comunicación publicitaria: Un análisis empírico[D]. Alicante: Universidad de Alicante, 2005.
[6] ALÉN E, LOSADA N, DOMÍGNUEZ T. The impact of ageing on the tourism industry: An approach to the senior tourist profile[J]. Social indicators research, 2016,127(1): 303-322.
[7] 刘英团.旅居养老:推进旅居养老资源的深度融合[J].天津社会保险, 2017(5):23-24.
[8] 多领域助力健康养老服务升级[J].中外企业文化, 2018(6):26-27.
[9] UYSAL M, JUROWSKI C.Testing the push and pull factors[J]. Annals of tourism research, 1994, 21(4):844-846.
[10] 陈万栋,江昕昱,宁亚,等.云南云间旅居养生公寓改建项目分析[J].建设科技, 2018(7):29-31,38.
[11] 高振华,李瑞鹏,汤洁茹.基于因子分析下对旅居养老目的地适宜性的综合评价[J].现代商业, 2017(14):188-189.
[12] 庞小笑. 旅居养老目的地选址研究[D].浙江金华:浙江师范大学, 2015.
[13] 张文忠. 宜居城市的内涵及评价指标体系探讨[J].城市规划学刊, 2007(3):30-34.
[14] 张欢,成金华,冯银,等.特大型城市生态文明建设评价指标体系及应用——以武汉市为例[J].生态学报, 2015,35(2):547-556.
[15] 王坤鹏. 城市人居环境宜居度评价——来自我国四大直辖市的对比与分析[J].经济地理, 2010,30(12):1992-1997.
[16] 湛东升,张文忠,余建辉,等.基于地理探测器的北京市居民宜居满意度影响机理[J].地理科学进展, 2015,34(8):966-975.
[17] 刘可文,李秋成,王丽,等.长三角宜居城市与创新城市发展的耦合协调研究[J].地理与地理信息科学, 2019,35(2):120-126,134.
[18] 陶建成. 养老地产选址影响因素研究[D].广东深圳:深圳大学, 2016.
[19] 徐进进. 旅居养老综合体建设构想[D].浙江金华:浙江师范大学, 2013.
[20] 袁开国,刘莲,向云波,等.基于GIS的异地互动旅游养老目的地适宜性评价[J].经济地理, 2013,33(11):163-168.
[21] 庞小笑,桑广书,喻元.基于GIS的旅居养老目的地适宜性评价——以金华市为例[J].云南地理环境研究,2016,28(3):15-21,36.
[22] CSUTORA R,BUCKLEY J J.Fuzzy hierarchical analysis: The lambda-max method[J]. Fuzzy sets and systems,2001,120(2):181-195.
[23] 董玉玲. 高科技上市企业经营绩效的评价[J].统计与决策, 2017(21):182-184.
[24] 欧晨. 基于LFPP-FAHP的我国网游上市企业绩效评价研究[D].广州:华南理工大学, 2018.
[25] 张振刚,盛勇,欧晨.基于FAHP-CEEMDAN的指标权重确定方法[J]. 统计与决策, 2019,35(2):79-83.