Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/115563
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Land Surveying and Geo-Informatics | - |
| dc.contributor | Research Institute for Sustainable Urban Development | - |
| dc.contributor | Otto Poon Charitable Foundation Smart Cities Research Institute | - |
| dc.contributor | Mainland Development Office | - |
| dc.creator | Li, Y | - |
| dc.creator | Tang, JHCG | - |
| dc.creator | Wang, S | - |
| dc.creator | Peng, Z | - |
| dc.creator | Zhuge, C | - |
| dc.date.accessioned | 2025-10-08T01:16:28Z | - |
| dc.date.available | 2025-10-08T01:16:28Z | - |
| dc.identifier.issn | 0049-4488 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/115563 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Springer New York LLC | en_US |
| dc.rights | © The Author(s) 2025 | en_US |
| dc.rights | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
| dc.rights | The following publication Li, Y., Tang, J.H.C.G., Wang, S. et al. Attention and attitudes of Chinese social media users towards autonomous vehicles: sentimental, statistical and spatiotemporal perspectives. Transportation (2025) is available at https://doi.org/10.1007/s11116-025-10644-3. | en_US |
| dc.subject | Autonomous vehicle | en_US |
| dc.subject | Public attention | en_US |
| dc.subject | Social media | en_US |
| dc.subject | Text mining | en_US |
| dc.title | Attention and attitudes of Chinese social media users towards autonomous vehicles : sentimental, statistical and spatiotemporal perspectives | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.doi | 10.1007/s11116-025-10644-3 | - |
| dcterms.abstract | In recent years, autonomous driving technology has progressed rapidly, promising to transform current transportation systems significantly and attracting growing public attention. Previous studies have predominantly relied on interviews and surveys to examine public perceptions of autonomous vehicles (AVs), which come with inherent limitations. This study utilizes a substantial dataset of 616,355 samples from Sina Weibo, one of China’s most prominent social media platforms, to examine variations in statistical, temporal, spatial, and emotional dimensions to gain insights into the Chinese populace’s perceptions and sentiments towards AVs. From 2015 to 2023, public attention and engagement have steadily risen, with individual users representing the largest group interested in AVs. Among individual users, males and young adults (aged 18–30) have demonstrated heightened interest. Attention levels are particularly pronounced in economically developed regions such as Beijing, Guangdong, and Shanghai. Overall, the public attitude towards AVs is positive; however, there has been a significant rise in negative sentiment since 2020, primarily related to concerns about safety and technological reliability. Based on public attention, this study also discusses potential challenges and corresponding strategies. These insights gained will aid automobile manufacturers, technology firms, and public agencies in addressing emerging challenges and facilitating the development of AVs. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Transportation, Published: 25 June 2025, Online first articles, https://doi.org/10.1007/s11116-025-10644-3 | - |
| dcterms.isPartOf | Transportation | - |
| dcterms.issued | 2025 | - |
| dc.identifier.scopus | 2-s2.0-105008956709 | - |
| dc.identifier.eissn | 1572-9435 | - |
| dc.description.validate | 202510 bcch | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_TA | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | We thank the Shenzhen Park of Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone. This research was funded by the “Theories for Spatiotemporal Intelligence and Reliable Data Analysis” (Project ID: HZQSWS-KCCYB-2024058), the RISUD Joint Research Fund (Grant Number: 1-BBWR) and CRW-SC (Grant Number: U-CDB9) at the Hong Kong Polytechnic University. | en_US |
| dc.description.pubStatus | Early release | en_US |
| dc.description.TA | Springer Nature (2025) | en_US |
| dc.description.oaCategory | TA | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| s11116-025-10644-3.pdf | 4.07 MB | Adobe PDF | View/Open |
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