山东林业科技2024,Vol.54Issue(1) :33-41.

多类群行为视角下历史文化名镇的共处空间研究——以安徽三河古镇为例

Study on the"Coexistence"Space of Famous Historical and Cultural Towns Based on the Behavior of Multiclass Group——Sanneh Ancient Town in Anhui Province as an Example

程桂圆 李冰月 王园园 何可沁 郑玮锋
山东林业科技2024,Vol.54Issue(1) :33-41.

多类群行为视角下历史文化名镇的共处空间研究——以安徽三河古镇为例

Study on the"Coexistence"Space of Famous Historical and Cultural Towns Based on the Behavior of Multiclass Group——Sanneh Ancient Town in Anhui Province as an Example

程桂圆 1李冰月 1王园园 1何可沁 1郑玮锋1
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作者信息

  • 1. 福建农林大学风景园林与艺术学院,福建福州 350100
  • 折叠

摘要

针对历史文化名镇使用人群间相互影响且出行目的难以满足的问题,研究以三河古镇为例,基于事件空间理论,以两步路、六只脚平台为数据库,收集人群GPS行为轨迹,运用ArcGIS 10.5进行分析,结合现场调研确定了 14个"共处"空间.通过研究人群时空间行为及感知偏好,基于计算机视觉技术结合问卷调查进行定量分析,总结共处空间特征,得出空间内积极共处特征与自发性有效停留要素相关.在空间优化与管理方面提出建议,对积极共处特征进行学习与活化,对消极共处特征进行规避及优化,以促进三类人群关系,满足出行目的,提升感知体验.

Abstract

Aiming at the problem of mutual influence between people using famous historical and cultural towns and the difficulty of satisfying the purpose of travel,the study takes Sanhe Ancient Town as an example,based on the theory of event space,takes the two-step road and the six-foot platform as the database,collects the GPS behavioral trajectory of the crowd,and analyzes it using ArcGIS 10.5,and combines it with the on-site research to determine the 14"coexistence"spaces.By studying the spatial behaviors and perceived preferences of the crowd,and conducting quantitative analysis based on computer vision technology combined with questionnaire surveys,summarizing the characteristics of the coexistence spaces,and concluding that the positive coexistence characteristics in the spaces are related to the elements of spontaneous and effective stay.In terms of spatial optimization and management,suggestions are made to learn and activate the positive coexistence features,and avoid and optimize the negative coexistence features,in order to promote the relationship between the three groups of people,satisfy the purpose of travelling,and enhance the perceptual experience.

关键词

历史文化名镇/"共处"空间/空间行为/空间优化与管理

Key words

famous historical and cultural town/"coexistence"space/space behavior/space optimization and management

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出版年

2024
山东林业科技
山东省林科院 山东林学会

山东林业科技

影响因子:0.298
ISSN:1002-2724
参考文献量26
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