基于街景照片的城市旅游情感空间探测研究

卢欢; 杨淼甜; 张妍妍; 李君轶

doi:10.13959/j.issn.1003-2398.2023.03.018

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人文地理 ›› 2023, Vol. 38 ›› Issue (3) : 164-172. DOI: 10.13959/j.issn.1003-2398.2023.03.018

旅游

基于街景照片的城市旅游情感空间探测研究

卢欢^1,2, 杨淼甜^1,2, 张妍妍^1,2, 李君轶^1,2

作者信息 +

URBAN TOURISM SENTIMENT SPATIAL DETECTION BASED ON STREET VIEW PHOTOS

LU Huan^1,2, YANG Miao-tian^1,2, ZHANG Yan-yan^1,2, LI Jun-yi^1,2

Author information +

文章历史 +

摘要

图片城市主义范式下，街景照片成为游客感知城市环境的一种新型大数据。然而，由于技术限制，基于照片大数据的旅游情感研究仍处于初步探索阶段。本文从情感地理学视角出发，引入计算机视觉领域的深度学习方法，实证测度了西安市典型旅游街区的情感空间特征。研究发现：基于街景照片的深度学习模型能够比较准确地探测城市旅游情感空间特征；西安市典型旅游街区旅游积极和消极情感在空间上呈现不同类型的集聚格局；西安市典型旅游街区内部呈现多种旅游情感复杂交错的特征；问卷数据一定程度上验证了深度学习模型预测结果的合理性。研究结果为游客与城市环境互动研究提供了新的方法论视角，也为城市旅游环境的改造和规划提供了理论依据和实践指导。

Abstract

Under the paradigm of pictorial urbanism, street view photos have become a new type of big data technique for tourists to perceive the urban environment. However, due to technical limitations, tourism sentiment researches based on photos are still at the preliminary exploration stage. This paper introduces a deep learning model in order to measure the tourism emotions of street view photos by the computer vision. It empirically analyses the emotional spatial characteristics of typical tourist blocks in Xi'an. It shows the deep learning model can accurately detect the spatial characteristics of urban tourism emotions using street view photos as a data source; the positive emotions and negative emotions of typical tourist blocks in Xi'an show different types of agglomeration patterns; the tourism emotions inside typical tourist blocks in Xi'an show complex and diverse characteristics. It is found that although the Bell and Drum Tower region, Xiaozhai region and Qujiang region are three different types of tourism blocks, the tourism emotion space detection results have the following commonalities: 1) The positive emotional space is mainly concentrated around the main road, universities, shopping malls or scenic spots and their surrounding areas; 2) The positive emotional space is slightly different with different functional zones and different emotional types; 3) The distribution of negative emotional space is more obvious than that of the positive emotional space. From the results of emotion space exploration, it reflects the interaction and mutual influence of people, environment and emotion from the perspective of emotional geography.

导出引用

卢欢, 杨淼甜, 张妍妍, 李君轶. 基于街景照片的城市旅游情感空间探测研究[J]. 人文地理. 2023, 38(3): 164-172 https://doi.org/10.13959/j.issn.1003-2398.2023.03.018

LU Huan, YANG Miao-tian, ZHANG Yan-yan, LI Jun-yi. URBAN TOURISM SENTIMENT SPATIAL DETECTION BASED ON STREET VIEW PHOTOS[J]. HUMAN GEOGRAPHY. 2023, 38(3): 164-172 https://doi.org/10.13959/j.issn.1003-2398.2023.03.018

中图分类号： F590.1

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