基于多源数据的昆明主城区城市公园景观视觉质量评价

Visual Quality Evaluation of Urban Park Landscape in Kunming’s Core Area Based on Multi-source Data

景观质量评价是公园规划建设与管理维护的科学支撑,新数据和新技术的发展使高效合理开展大规模公园景观视觉质量评价成为可能。文章以昆明市5个典型公园为例,在情感分析技术量化UGC数据的基础上,结合现场问卷调查,对影响城市公园景观质量评价得分的4类14个影响因子进行分析。结果表明:翠湖公园景观视觉质量最高,其次分别为大观公园、黑龙潭公园、金殿公园和海埂公园;不同年龄段的公园使用者对景观质量的关注点不同,青年人更关注公园的内涵,中年人对公园的景观管理水平有较高的要求,老年人侧重享受公园的景观氛围感;当前各公园景观视觉质量水平存在较大差异,提升方向感、趣味性等是当前公园服务群体共同的迫切需求。基于多源数据分析的公园景观视觉质量评价具有一致性,网络数据与线下问卷数据可以交叉验证,置信度更高。

landscape quality evaluation gives science support to park planning,construction,management and maintenance.The development of new data and new technology makes it possible to efficiently and reasonably carry out large-scale visual quality evaluation of park landscape.Based on UGC data qualified with emotion analysis technology and the on-site questionnaire surveys in 5 selected typical parks in Kunming City,this paper analyzes 14 influencing factors in 4 categories that affect the evaluation score of urban park landscape quality.The results show that the landscape visual quality of Cuihu Park is the highest,followed by Daguan Park,Heilongtan Park,Jindian Park and Haigeng park.Park users of different ages have different concerns about landscape quality.Young people pay more attention to the connotation of parks,middle-aged people have higher requirements for park landscape management level,and the elderly tend to enjoy the landscape atmosphere in parks.At present,there are great differences in the level of landscape visual quality in these parks.Improving sense of direction and interests is the common and urgent needs of park service staff.The visual quality evaluations of park landscape based on multi-source data analysis are consistent,and the network data and offline questionnaire data can be cross verified with higher confidence.