Journal of Geo-information Science >
The Influence of Urban Streetscape Color on Tourists' Emotional Perception Based on Streetscape Images
Received date: 2023-04-07
Revised date: 2023-08-03
Online published: 2024-03-27
Supported by
National Natural Science Foundation of China(42071169)
National Natural Science Foundation of China(42271468)
Shaanxi Province Key Research and Development Program(2019ZDLSF07-04)
Streets are an important attraction for urban tourism. Exploring the influence of street landscape color characteristics on tourists' emotional perception holds important reference value for the rational planning and layout of urban street landscape. This study takes the built-up area within the third ring road of Xi'an city as a study case, and employs the Full Convolutional Neural Network (FCN) and Random Forest (RF) algorithms to construct an emotional perception dataset of street images. We use the streetscape images as the basis to extract the color features of the streetscape using machine learning algorithms, and color quantifiers are constructed and spatially visualized; The RF regression algorithm is used to explore the relationship between streetscape color characteristics and tourists' emotional perception, and the optimal color characteristic parameters are derived. The results show that: (1) There is a distinct spatial distribution pattern of tourists' emotional perception. The emotions of beauty and liveness gradually increase from the central area outward, and emotions of safety and wealth emotions score higher in the area within the second ring road outside the main city. While boring emotions score lower in this area, and depressing emotions gradually decrease from the central area outward. This suggests that the spatial distribution pattern of emotional perception shares somewhat homogeneity between tourists' emotional perception in non-routine environment and residents' perception in familiar environment; (2) The color characteristics of the streetscape show a complex non-linear relationship with tourists' emotional perception. For example, color complexity has less effect on emotions of beauty and liveness compared to color coordination and has a greater effect on emotions of boredom, depression, safety, and wealth than color coordination. Moreover, when the value of color complexity is 0.86 and the value of color coordination is 0.84, tourists can obtain better emotional perception across six dimensions; (3) Under non-routine conditions, the more significant the color characteristics of the street landscape, the better the emotional perception of visitors. Theoretically, this study confirms the conclusion that the more colorful environment leads to better experience for tourists; and methodologically, this paper not only expands the traditional text-based and manually-assigned research methods in the field of tourism emotion, but also enriches the application of streetscape big data and machine learning methods in the field of tourism. This study provides a reference for city managers to understand tourists' visual preferences for streetscapes and to optimize streetscape design.
QI Ziyin , LI Junyi , HE Zhe , YANG Xiping . The Influence of Urban Streetscape Color on Tourists' Emotional Perception Based on Streetscape Images[J]. Journal of Geo-information Science, 2024 , 26(2) : 514 -529 . DOI: 10.12082/dqxxkx.2024.230181
表1 游客人口学特征Tab. 1 Demographic characteristics of tourists |
名称 | 类别 | 频数 | 百分比/% | 名称 | 类别 | 频数 | 百分比/% |
---|---|---|---|---|---|---|---|
性别 | 男 | 22 | 44.90 | 硕士及以上 | 20 | 40.82 | |
女 | 27 | 55.10 | 在校学生 | 10 | 20.41 | ||
年龄 | 18~30 | 25 | 51.02 | 公司职员 | 11 | 22.45 | |
31~40 | 21 | 42.86 | 专业人员(教师/医生/律师等) | 4 | 8.16 | ||
41~50 | 3 | 6.12 | 职业 | 事业单位/公务员/政府工作人员 | 16 | 32.65 | |
地区 | 西安 | 6 | 12.24 | 服务业人员 | 2 | 4.08 | |
陕西省内非西安 | 5 | 10.20 | 工人 | 1 | 2.04 | ||
陕西省外 | 38 | 77.55 | 自由职业 | 2 | 4.08 | ||
受教育程度 | 高中/中专 | 1 | 2.04 | 其他 | 3 | 6.12 | |
本科/专科 | 28 | 57.14 | 合计 | 49 | 100.00 |
表2 “情感感知”相关性分析Tab. 2 "Emotion perception" correlation analysis |
美丽 | 无聊 | 压抑 | 活泼 | 安全 | 富有 | |
---|---|---|---|---|---|---|
美丽 | 1 | -0.814** | -0.638** | 0.907** | 0.706** | 0.753** |
无聊 | 1 | 0.237** | -0.870** | -0.903** | -0.844** | |
压抑 | 1 | -0.474** | -0.059** | -0.131** | ||
活泼 | 1 | 0.809** | 0.813** | |||
安全 | 1 | 0.877** | ||||
富有 | 1 |
注:**表示在 0.01 的水平上,相关性显著。 |
表3 色彩-情感感知相关性分析Tab. 3 Color-emotion perception correlation analysis |
美丽 | 无聊 | 压抑 | 活泼 | 安全 | 富有 | |
---|---|---|---|---|---|---|
复杂度-色彩 | -0.005 | -0.188** | 0.325** | 0.055** | 0.245** | 0.214** |
协调度-色彩 | 0.046** | 0.088** | -0.227** | -0.053** | -0.113** | -0.067** |
注:**表示在 0.01 的水平上,相关性显著。 |
表4 色彩复杂度与游客情感感知回归分析Tab. 4 Regression analysis of color complexity and visitor emotional perception |
模型 | 非标准化系数 | 标准化系数 | t | |
---|---|---|---|---|
B | Std. Error | Beta | ||
(常量) | 82.057** | 0.510 | - | 160.984 |
美丽 | 0.043** | 0.005 | 0.132** | 8.876 |
无聊 | -0.058** | 0.004 | -0.179** | -14.365 |
压抑 | 0.090** | 0.002 | 0.394** | 45.240 |
活泼 | -0.052** | 0.004 | -0.154** | -12.057 |
安全 | 0.023** | 0.004 | 0.064** | 5.079 |
富有 | 0.026** | 0.003 | 0.084** | 8.144 |
注:**表示系数在0.01的水平上显著。 |
表5 色彩协调度与游客情感感知回归分析Tab. 5 Regression analysis of color coordination and visitor emotional perception |
模型 | 非标准化系数 | 标准化系数 | t | |
---|---|---|---|---|
B | Std. Error | Beta | ||
(常量) | 87.749** | 0.811 | - | 108.231 |
美丽 | 0.050** | 0.008 | 0.101** | 6.470 |
无聊 | 0.046** | 0.006 | 0.093** | 7.116 |
压抑 | -0.131** | 0.003 | -0.381** | -41.607 |
活泼 | -0.244** | 0.007 | -0.475** | -35.392 |
安全 | 0.055** | 0.007 | 0.102** | 7.682 |
富有 | 0.086** | 0.005 | 0.183** | 16.876 |
注:**表示系数在0.01的水平上显著。 |
[1] |
|
[2] |
毕芳菲, 蔺宝钢, 刘昊天. 城市景观设计与公共街道造景艺术设计的界定——评《公共环境艺术设计》[J]. 热带作物学报, 2021, 42(9):2744.
[
|
[3] |
简雅各布斯. 美国大城市的死与生[M]. 南京: 译林出版社, 1961.
[
|
[4] |
|
[5] |
曾诗晴, 谢彦君, 史艳荣. 从城市意象到街道体验——城市旅游多层级消费决策中的景观迭代过程[J]. 旅游学刊, 2022, 37(1):68-84.
[
|
[6] |
|
[7] |
王萌, 李君轶. 城市历史文化街区景观对游客情感及行为意向影响研究 ——以西安历史文化街区为例[J]. 西南大学学报(自然科学版), 2021, 43(10):146-153.
[
|
[8] |
|
[9] |
|
[10] |
|
[11] |
|
[12] |
|
[13] |
|
[14] |
|
[15] |
|
[16] |
孙晓涵, 李君轶. 中国本土游客情感体验量表开发与检验[J]. 干旱区资源与环境, 2021, 35(1):189-195.
[
|
[17] |
|
[18] |
杜莹莹, 李君轶. 国内外游客景区情感体验时空变化对比研究——以秦始皇帝陵博物院为例[J]. 地域研究与开发, 2022, 41(4):125-130.
[
|
[19] |
刘丹萍, 金程. 旅游中的情感研究综述[J]. 旅游科学, 2015, 29(2):74-85.
[
|
[20] |
|
[21] |
|
[22] |
|
[23] |
张帆, 刘瑜. 街景影像——基于人工智能的方法与应用[J]. 遥感学报, 2021, 25(5):1043-1054.
[
|
[24] |
|
[25] |
|
[26] |
|
[27] |
|
[28] |
|
[29] |
|
[30] |
|
[31] |
赵文婷. 基于空间分析视角的西安市路网交通效率分析[D]. 西安: 西北大学, 2018.
[
|
[32] |
沈晓萌. 基于景观感知的乡村自然教育营地规划设计研究——以乌镇横港村自然教育营地为例[D]. 北京: 北京林业大学, 2019.
[
|
[33] |
|
[34] |
|
[35] |
|
[36] |
|
[37] |
|
/
〈 |
|
〉 |