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将用户认知作为改善城市海滩规划与管理的一种工具。

Users' perception as a tool to improve urban beach planning and management.

作者信息

Cervantes Omar, Espejel Ileana, Arellano Evarista, Delhumeau Sheila

机构信息

Facultad de Ciencias Marinas, UABC, Km 103 Carretera Tijuana-Ensenada, C.P. 22800, Ensenada, B.C., Mexico.

出版信息

Environ Manage. 2008 Aug;42(2):249-64. doi: 10.1007/s00267-008-9104-8. Epub 2008 Apr 15.

Abstract

Four beaches that share physiographic characteristics (sandy, wide, and long) but differ in socioeconomic and cultural terms (three are located in northwestern Mexico and one in California, USA) were evaluated by beach users. Surveys (565) composed of 36 questions were handed out to beach users on weekends and holidays in 2005. The 25 questions that revealed the most information were selected by factor analysis and classified by cluster analysis. Beach users' preferences were assigned a value by comparing the present survey results with the characteristics of an "ideal" recreational urban beach. Cluster analysis separated three groups of questions: (a) services and infrastructure, (b) recreational activities, and (c) beach conditions. Cluster linkage distance (r=0.82, r=0.78, r=0.67) was used as a weight and multiplied by the value of beach descriptive factors. Mazatlán and Oceanside obtained the highest values because there are enough infrastructure and services; on the contrary, Ensenada and Rosarito were rated medium and low because infrastructure and services are lacking. The presently proposed method can contribute to improving current beach evaluations because the final score represents the beach users' evaluation of the quality of the beach. The weight considered in the present study marks the beach users' preferences among the studied beaches. Adding this weight to beach evaluation will contribute to more specific beach planning in which users' perception is considered.

摘要

海滩使用者对四个具有相同地貌特征(沙质、宽阔且漫长)但社会经济和文化状况不同的海滩(三个位于墨西哥西北部,一个位于美国加利福尼亚州)进行了评估。2005年,在周末和节假日向海滩使用者发放了由36个问题组成的调查问卷(共565份)。通过因子分析选出揭示信息最多的25个问题,并通过聚类分析进行分类。通过将当前调查结果与“理想”城市休闲海滩的特征进行比较,为海滩使用者的偏好赋予一个值。聚类分析将问题分为三组:(a)服务与基础设施,(b)娱乐活动,以及(c)海滩状况。聚类联系距离(r = 0.82,r = 0.78,r = 0.67)用作权重,并乘以海滩描述性因素的值。马萨特兰和欧申赛德得分最高,因为有足够的基础设施和服务;相反,恩塞纳达和罗萨里托得分中等和较低,因为缺乏基础设施和服务。目前提出的方法有助于改进当前的海滩评估,因为最终得分代表了海滩使用者对海滩质量的评价。本研究中考虑的权重标志着海滩使用者在研究海滩中的偏好。将此权重添加到海滩评估中将有助于进行更具体的海滩规划,其中会考虑使用者的看法。

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