文献类型：期刊文献

中文题名：浙江省乡村居民的游憩行为

英文题名：Recreation Behavior of Village Residents in Zhejiang Province

作者：史久西[1] 王小明[1] 程飞龙[2] 黄一青[3] 沈强[4]

第一作者：史久西

机构：[1]中国林业科学研究院亚热带林业研究所;[2]浙江省永康市林业局;[3]浙江省慈溪市林业局;[4]浙江省长兴县林业局

年份：2010

卷号：38

期号：4

起止页码：54-58

中文期刊名：东北林业大学学报

外文期刊名：Journal of Northeast Forestry University

收录：CSTPCD;;北大核心:【北大核心2008】；CSCD:【CSCD2011_2012】；

基金：国家"十一五"林业科技支撑计划专题(2006BAD03A00-6);浙江省科技重大项目(2004C12030)

语种：中文

中文关键词：浙江省;乡村居民;游憩行为;游访量;村庄绿化;乡村公园

外文关键词：Zhejiang Province; Village residents; Recreation behaviors; Visited-rates; Village afforestation; Village parks

分类号：F590

摘要：借助旅游心理学、旅游地理学理论及POE方法,通过问卷调查对乡村居民的游憩行为作了研究分析。结果显示:乡村公园游访率与游访者性别、文化程度有一定的相关关系,但与年龄、职业,业余爱好的关系更为密切,不爱看电视的人比喜爱者有更高的出游量,喜欢聚会、棋牌、文娱体育的人比不喜好者有更高的出游量。乡村居民倾向于比较休闲的活动内容,对公园景物与设施的偏好状况是大树>花草>桌椅>健身器>亭廊>水体>健身步道>球场和铺装建筑;时空因子中关系最为紧密的是与出游目的地的距离,如果目的地是中心公园,则游访量与距离呈对数曲线衰减;如是小游园,则呈双曲函数衰减。从客源角度建立了乡村居民游憩需求计量模型,模型显示,提高乡村居民的物质文化生活水平和职业闲暇时间,培养外向型业余爱好,居住区相对集中等,有利于最终提高日人均游访量。计量模型的拟合效果欠佳,尽管径向基神经网络模型的拟合精度大幅提高,但不利于因果关系解释。因此将计量模型与BRF神经网络模型结合起来则更具实际应用价值,前者用于因果关系解释,后者用于需求预测。
Theories of tourism psychology and tourism geography were applied to the study of the recreational behavior of village residents in Zhejiang Province based on household questionnaire survey. Results show that the visit-amount to village parks hase some relationships with residents’ sex and education, and close relationships with their age, occupation, and hobby. The tourists who do not like watching TV have higher visit-amount than those who prefer watching TV, while the group who prefer gathering, playing card, and entertainment has larger visit-amount than the group who do not like these activities. Village residents’ favorite park sceneries are in a decreasing order of big trees, flower and grass, tables and chairs, health exercise appliances, pavilions and porches, water body, fitness equipment, path for body-building, basketball field, and paved ground. The distance from home to a park （O-D pairs） was the most significant factor among spatio-temporal factors related to visit-amount, which would present logarithm attenuation trend when a center park as a visiting destination, or present inverse curve attenuation trend when a small local service-oriented park as a visiting destination. According to the estsblished regression models of the recreation demands for rural residents, it would be propitious to increase visit-amount by improving their living standards and leisure time, developing their extroverted hobbies and making inhabitation area concentrated. The regression models have lower fitting precision and more advantages to explain the causality than the Radial Basis Function （RBF） neural network-based Model, so it is reasonable to use them together.