物理环境介入下游览路径空间品质对游客行为影响探讨——以合肥市三河古镇为例  

Exploring the Influences of the Tourist Path Space Quality on Visitor Behaviors under a Physical Environment Intervention:A Case Study Based on Sanhe Ancient Town in Hefei City

作　　者：宣晓东[1] 闫梦辉 邹俊 郑逸鹤 张子旭 XUAN Xiaodong;YAN Menghui;ZOU Jun;ZHENG Yihe;ZHANG Zixu

机构地区：[1]合肥工业大学建筑与艺术学院、徽派建筑安徽省重点实验室 [2]合肥工业大学建筑与艺术学院

出　　处：《南方建筑》2024年第5期14-28,共15页South Architecture

基　　金：徽派建筑安徽省重点实验室开放课题基金资助(HPJZ-2023-02):城市更新视角下历史文化街区的绿色健康规划与活力复兴研究;安徽省研究生教育教学改革研究项目(2022jyjxggyj064):建筑类学科硕博教育体系贯通的创新人才培养模式探索。

摘　　要：探析人本尺度下古镇游览路径多维空间品质和物理环境对游客行为的综合影响机制,以三河古镇为例,利用卷积神经网络、Open CV、sDNA量化路径空间品质;通过实地测量、空间插值获取物理环境数据;实时录像获取游客行为。构建分层回归模型对多维空间品质、物理环境与游客行为进行解释,总结各因子作用程度和作用方式。研究表明:夏季游客四类行为均受到多维空间品质和物理环境的直接或间接影响;观赏、休憩和购物行为主要受多维空间品质影响,步行行为主要受物理环境影响。为古镇街道空间场景优化提供依据,推动特色小镇中古镇旅游产业健康发展。In the context of national support for rural revitalization and the development of high-quality characteristic towns,this people-oriented microscale study involved real-time observation and objective quantization of path space quality,physical environment measures,and tourist behaviors in a tourism-dominated characteristic ancient town.The specific influencing paths underlying the relationships between path space quality,physical environment measures,and tourist behaviors were analyzed.Moreover,the mechanisms underlying the influences of the multi-dimensional space properties and physical environment on tourism behaviors were discussed.The results not only offer several suggestions and scientific references for the optimized configuration of tourist path spaces and the improvement of space vitality in ancient towns,but also facilitate the development of the cultural tourism industry in towns with Chinese characteristics.A case study of Sanhe Ancient Town in Hefei City was carried out.Two-dimensional and three-dimensional field models of Sanhe Ancient Town were built using unmanned aerial vehicles(UAVs).Using the ArcGIS platform,the field models were overlapped and aligned with an open street map.Sampling points were set through GIS and the geographical coordinates of the sampling points were acquired.The geographical coordinates of the sampling points acquired by GIS were matched with the field models to obtain comprehensive information,including the locations and surrounding environments of the sampling points in real life.Moreover,a 30-m diameter unit research scope centered at each sampling point was established.After the locations of the sampling points were determined,panoramic cameras were fixed at these points to capture street panoramas which were then input into a convolutional neural network model and Open CV algorithm through projection transformation and standardization to obtain the proportion of spatial elements,space colors,and other information within the research scope.Point of interest(POI)infor

关 键 词：古镇 游览路径 空间品质 物理环境 调节作用 游客行为 

分 类 号：TU-02[建筑科学—建筑理论] TU-023