Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media Texts
The benefits of the natural environment in urban space have been explored in numerous studies. However, only a few statistics and studies have been conducted on the correlation between emotion and urban waterfront space, especially considering gender differences. Taking Wuhan city as an example, thi...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-07-01
|
| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/9/8/465 |
| _version_ | 1797561635436494848 |
|---|---|
| author | Yue Ma Changlong Ling Jing Wu |
| author_facet | Yue Ma Changlong Ling Jing Wu |
| author_sort | Yue Ma |
| collection | DOAJ |
| description | The benefits of the natural environment in urban space have been explored in numerous studies. However, only a few statistics and studies have been conducted on the correlation between emotion and urban waterfront space, especially considering gender differences. Taking Wuhan city as an example, this study puts forward a new approach and perspective. Text emotion analysis is combined with the spatial analysis technique based on big data of social media. Based on the emotions of the public of different genders in urban space, suggestions are provided for urban planning and development from the perspective of POI (Point of Interest). The main steps are: (1) Analyzing the emotional score of Weibo texts published by citizens in the waterfront area of 21 lakes in Wuhan City; (2) exploring the public emotion characteristics of different genders in the urban waterfront; (3) classifying the waterfront according to the emotional response (score) of the public of different genders; (4) exploring the relationship between different POI types and waterfront types and proposing planning suggestions. The results of this study provide evidence for gender differences and spatial distribution of public emotions in the Wuhan waterfront area. It can help decision-makers to judge the prior protection and development direction of waterfront space, thus demonstrating the feasibility of this approach. |
| first_indexed | 2024-03-10T18:17:42Z |
| format | Article |
| id | doaj.art-349679d766be4f63a7dee9be8db20eb3 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T18:17:42Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-349679d766be4f63a7dee9be8db20eb32023-11-20T07:32:34ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-07-019846510.3390/ijgi9080465Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media TextsYue Ma0Changlong Ling1Jing Wu2School of Urban Design, Wuhan University, Wuhan 430072, ChinaSchool of Urban Design, Wuhan University, Wuhan 430072, ChinaSchool of Urban Design, Wuhan University, Wuhan 430072, ChinaThe benefits of the natural environment in urban space have been explored in numerous studies. However, only a few statistics and studies have been conducted on the correlation between emotion and urban waterfront space, especially considering gender differences. Taking Wuhan city as an example, this study puts forward a new approach and perspective. Text emotion analysis is combined with the spatial analysis technique based on big data of social media. Based on the emotions of the public of different genders in urban space, suggestions are provided for urban planning and development from the perspective of POI (Point of Interest). The main steps are: (1) Analyzing the emotional score of Weibo texts published by citizens in the waterfront area of 21 lakes in Wuhan City; (2) exploring the public emotion characteristics of different genders in the urban waterfront; (3) classifying the waterfront according to the emotional response (score) of the public of different genders; (4) exploring the relationship between different POI types and waterfront types and proposing planning suggestions. The results of this study provide evidence for gender differences and spatial distribution of public emotions in the Wuhan waterfront area. It can help decision-makers to judge the prior protection and development direction of waterfront space, thus demonstrating the feasibility of this approach.https://www.mdpi.com/2220-9964/9/8/465waterfrontsgender differencesemotionssocial mediabig data |
| spellingShingle | Yue Ma Changlong Ling Jing Wu Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media Texts ISPRS International Journal of Geo-Information waterfronts gender differences emotions social media big data |
| title | Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media Texts |
| title_full | Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media Texts |
| title_fullStr | Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media Texts |
| title_full_unstemmed | Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media Texts |
| title_short | Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media Texts |
| title_sort | exploring the spatial distribution characteristics of emotions of weibo users in wuhan waterfront based on gender differences using social media texts |
| topic | waterfronts gender differences emotions social media big data |
| url | https://www.mdpi.com/2220-9964/9/8/465 |
| work_keys_str_mv | AT yuema exploringthespatialdistributioncharacteristicsofemotionsofweibousersinwuhanwaterfrontbasedongenderdifferencesusingsocialmediatexts AT changlongling exploringthespatialdistributioncharacteristicsofemotionsofweibousersinwuhanwaterfrontbasedongenderdifferencesusingsocialmediatexts AT jingwu exploringthespatialdistributioncharacteristicsofemotionsofweibousersinwuhanwaterfrontbasedongenderdifferencesusingsocialmediatexts |