摘要
基于景区街道功能多样性指标,以云南省丽江古城旅游景区街道空间数据为依据,运用GIS、SPSS及空间句法等工具对各项数据进行分析,探究街道活力的影响因素,利用Python进行多元线性回归方程拟合与降维,对景区布局优化后进行游客分布预测。研究发现,景区街道活力受餐饮、购物、住宿、娱乐等要素影响显著,而景点影响程度较低,交通设施与街道活力无显著相关性。本研究可为丽江古城及其他古城旅游景区规划布局及设计提供参考。
Based on various street function indexes of scenic spots and the measurement data of the streets of the ancient town of Lijiang in Yunnan Province, the paper analyzes various data and explores the influencing factors on street vitality by using tools such as GIS, SPSS and spatial syntax. Through the fitting and dimensional reduction of regression equation by Python, the prediction of tourist distribution after layout optimization is achieved. It is found that the street vitality of scenic spots is significantly affected by catering, shopping, accommodation and entertainment factors, while scenic spots have a low degree of influence, and traffic facilities have no significant correlation with street vitality. This study can provide theoretical support and optimization direction for the planning and layout of Lijiang ancient city and other ancient city tourist attractions.
作者
胡一可
张文正
王苗
HU Yike;ZHANG Wenzheng;WANG Miao
出处
《景观设计》
2020年第5期24-31,共8页
Landscape Design
关键词
风景园林
丽江古城
街道活力
街道功能
POI数据
landscape architecture
Lijiang ancient city
street vitality
street function
POI data