URBAN TOURISM SENTIMENT SPATIAL DETECTION BASED ON STREET VIEW PHOTOS
LU Huan1,2, YANG Miao-tian1,2, ZHANG Yan-yan1,2, LI Jun-yi1,2
1. School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China;
2. Shaanxi Key Laboratory of Tourism Informatics, Xi'an 710119, China
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.
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.
LU Huan, YANG Miao-tian, ZHANG Yan-yan, LI Jun-yi. URBAN TOURISM SENTIMENT SPATIAL DETECTION BASED ON STREET VIEW PHOTOS. HUMAN GEOGRAPHY, 2023, 38(3): 164-172.
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