Tourists rewilding preferences for a National Park

Data were collected between December 2021 and March 2022, it covered 288 tourists that have previously visited Mokala National Park. Data included visitor profile such as socio-economic demographic factors, environmental management preferences, park quality and attraction preferences and a discrete choice experiment for natural characteristics of the national park. Data was obtained through a questionnaire done on qualtrics and distributed online. After successfully capturing and cleaning analysis of the data was done using R-statistical software, utilizing the Apollo packages. This resulted in a conditional logit model and a latent class model to be developed and willingness-to-pay to be determined.

本研究数据收集于2021年12月至2022年3月期间，涵盖了288名曾访问莫卡拉国家公园的游客。数据内容包含游客的个人信息，如社会经济人口统计学因素、环境管理偏好、公园质量及吸引力偏好，以及针对国家公园自然特征的离散选择实验。数据通过在Qualtrics平台上进行的问卷调查并在线分发而获得。经过成功的数据捕获和清洗后，利用R统计软件和Apollo软件包进行了数据分析。据此，构建了条件Logit模型和潜在类别模型，并确定了支付意愿。