首页|政府旅游数据开放的评价指标体系构建与组态分析:基于21个省级行政区的数据

政府旅游数据开放的评价指标体系构建与组态分析:基于21个省级行政区的数据

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在信息时代和智慧旅游背景下,政府主动对外开放内部的旅游数据,有利于充分释放旅游数据资源的商业价值与社会价值.使用变异系数法与熵权法进行组合赋权,构建了政府旅游数据开放评价指标体系,计算21个省级行政区的具体得分,并采用模糊集定性比较方法进行高评价值与低评价值条件组态分析.结果表明:指标体系包含4项一级指标、17项二级指标与51项三级指标,可以对当前省级行政区的旅游数据开放绩效进行有效评价;利用层、数据层是权重较高的一级指标,法律政策效率与内容、平台关系等是权重较高的二级指标;高评价值组态为综合发展型、数据辅助应用型,低评价值组态为政策与利用短板型、平台与数据问题型.研究结果可以为旅游数据开放评价相关学术研究与管理实践提供参考.
Research on the evaluation index system of government tourism data opening:based on the data of 21 provincial administrative regions
In the context of the information age and smart tourism,the government's initiative to open up internal tourism data is conducive to releasing the commercial and social value of tourism data resources.This paper used the coefficient of variation method and the entropy weight method for combined weighting,constructed an evaluation index system for government tourism data opening,calculated the scores of 21 provincial administrative regions,and used fsQCA to compare high and low evaluation values with configuration analysis.The results showed that the index system included 4 first-level indicators,17 second-level indicators and 51 third-level indicators,which effectively evaluated the performance of tourism data opening in provincial administrative regions;the utilization layer and data layer were the first-level indicators with higher weights,legal policy efficiency,content,platform relationship,etc.were second-level indicators with higher weights;high evaluation values were configured as comprehensive development type and data-assisted application type,and low evaluation values were configured as insufficient policy&utilization type and platform&data problem type.The research results are helpful to provide a reference prototype for the research and practice of tourism data opening evaluation.

travel datadata resourcedata opennessinformation constructionevaluation systemconfiguration analysis

胡安安、郭梦珂、黄丽华、黄荔桐

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复旦大学旅游学系,上海 200433

复旦大学电子商务研究中心,上海 200433

复旦大学管理学院,上海 200433

旅游数据 数据资源 数据开放 信息构建 评价体系 组态分析

国家社会科学基金国家自然科学基金

21&ZD11972074052

2024

大数据
人民邮电出版社

大数据

CSTPCD
ISSN:2096-0271
年,卷(期):2024.10(2)
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