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技术革新对出租车司机职业的冲击:"萝卜快跑"事件下的公众社会认知与情感倾向

孙慧倩 景鹏 贺正冰 汪道歌 徐佳欣 姜乐炜

交通运输工程与信息学报2024,Vol.22Issue(4):13-24,12.
交通运输工程与信息学报2024,Vol.22Issue(4):13-24,12.DOI:10.19961/j.cnki.1672-4747.2024.08.012

技术革新对出租车司机职业的冲击:"萝卜快跑"事件下的公众社会认知与情感倾向

The effect of technological innovation on taxi-driver profession:public social cognition and sentiment polarity based on"Apollo Go"incident

孙慧倩 1景鹏 1贺正冰 2汪道歌 1徐佳欣 1姜乐炜1

作者信息

  • 1. 江苏大学,汽车与交通工程学院,镇江 212013
  • 2. 麻省理工学院,信息与决策系统实验室,美国剑桥2139-4307
  • 折叠

摘要

Abstract

In May 2024,Baidu's"Apollo Go"robotaxi services commenced large-scale commercial operations in Wuhan,Hubei Province.Characterized by its competitive pricing strategy and reduced labor costs,the service ignited extensive public discourse regarding the competition and underlying conflicts of interest between robotaxis and the conventional online taxi ride-hailing,collectively known as the taxi industry.At the initial commercialization stage of robotaxi services,a deep under-standing of the public's perception regarding the conflict between this emerging service and the taxi industry is crucial for formulating effective policies.Additionally,social friction can be avoided,thus promoting the stable development of the taxi industry and achieving social harmony.By analyzing 22 835 comments on major Chinese social media platforms,such as Sina Weibo,TikTok,and Little Red Book,we extracted 6 228 comments directly related to taxi drivers.Additionally,we employed the Latent Dirichlet Allocation topic model to extract the top-five topics of general public concern,thus forming a progressive theme chain from order volume to technology application.Results of sen-timent analysis indicate that the public's views on the job stability of taxi drivers are predominantly negative owing to the"Apollo Go"incident.Results of K-means clustering analysis show that differ-ent provinces formed four distinct categories in terms of sentiment polarity and participation for Top-ics 1 to 5.For instance,Type 2 generally discusses Topic 3(vulnerable workers)and Topic 4(driver unemployment),whereas the provinces in Type 3 show greater concern for Topic 1(family liveli-hood)and Topic 2(order volume).The findings provide empirical evidence for policy makers to bal-ance the social impact resulting from the advancement of robotaxis,thereby contributing to the pro-motion of social harmony and the stable development of the industry.

关键词

智能交通/公众认知/文本挖掘,出租车司机/无人驾驶出租车/行业冲突

Key words

intelligent transportation/public perception/text mining/taxi driver/robotaxi service/industry conflict

分类

管理科学

引用本文复制引用

孙慧倩,景鹏,贺正冰,汪道歌,徐佳欣,姜乐炜..技术革新对出租车司机职业的冲击:"萝卜快跑"事件下的公众社会认知与情感倾向[J].交通运输工程与信息学报,2024,22(4):13-24,12.

基金项目

国家自然科学基金项目(71871107) (71871107)

江苏省自然科学基金面上项目(BK20231324) (BK20231324)

交通运输工程与信息学报

OACSTPCD

1672-4747

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