Abstract
民众出行行为与多维度的经济社会活动密切相关,探究其影响因素有助于促进消费升级和区域经济流通。本文基于一套独特的电信大数据,探究移动通信使用行为对省内与跨省出行的影响及相应的作用机制。研究利用用户省内、省外漫游记录精准识别其省内、跨省出行行为,并将移动应用(包括影视娱乐、生活服务、购物支付类应用)和传统语音短信使用行为与出行行为进行关联分析。实证结果显示,移动应用使用行为显著促进用户省内出行,这一效应通过移动应用依赖度产生中介作用(中介效应占比为8.45%—17.70%);传统语音短信使用行为则显著促进用户跨省出行,且该效应通过社会资本发挥中介作用(中介效应占比为29.95%)。结果说明移动应用通过提供便利服务,扩展用户活动边界,促进用户省内出行;而传统语音短信通过构建深层社交关系,积累社会资本,为用户提供社会支持和情感资源,降低跨省出行伴随的不确定性,促进用户跨省出行。
Individual mobility behavior is closely related to diverse economic and social activ- ities. Identifying its influencing factors is conducive to promoting consumption upgrading and coordinated regional economic development. Based on a unique set of telecommunication big data, this study empirically examines the impact of mobile communication usage behavior on intra-provincial and inter-provincial travel behaviors, as well as the underlying mechanisms. By analyzing users' intra- and inter-provincial roaming records, the study accurately identifies their travel behavior and incorporates mobile application usage (e.g., video entertainment, life ser- vices, shopping and payment) and traditional voice/SMS usage into the model for analysis. The results show that mobile application usage significantly promotes intra-provincial travel, with a mediating effect exerted through mobile application dependence (mediating effect accounting for 8.45%-17.70%). In contrast, traditional voice/SMS usage significantly promotes inter-provincial travel, with the mediating role played by social capital (mediating effect accounting for 29.95%). Mobile applications promote intra-provincial travel by offering convenient services and expand- ing users' activity boundaries, while traditional voice/SMS usage fosters deep social ties and accumulates social capital, thereby providing social and emotional support that reduces the un- certainty of inter-provincial travel.
Individual mobility behavior is closely related to diverse economic and social activ- ities. Identifying its influencing factors is conducive to promoting consumption upgrading and coordinated regional economic development. Based on a unique set of telecommunication big data, this study empirically examines the impact of mobile communication usage behavior on intra-provincial and inter-provincial travel behaviors, as well as the underlying mechanisms. By analyzing users' intra- and inter-provincial roaming records, the study accurately identifies their travel behavior and incorporates mobile application usage (e.g., video entertainment, life ser- vices, shopping and payment) and traditional voice/SMS usage into the model for analysis. The results show that mobile application usage significantly promotes intra-provincial travel, with a mediating effect exerted through mobile application dependence (mediating effect accounting for 8.45%-17.70%). In contrast, traditional voice/SMS usage significantly promotes inter-provincial travel, with the mediating role played by social capital (mediating effect accounting for 29.95%). Mobile applications promote intra-provincial travel by offering convenient services and expand- ing users' activity boundaries, while traditional voice/SMS usage fosters deep social ties and accumulates social capital, thereby providing social and emotional support that reduces the un- certainty of inter-provincial travel.
| Translated title of the contribution | Impact of Mobile Communication Usage Behavior on Intra-provincial and Inter-provincial Travel Behaviors |
|---|---|
| Original language | Chinese (Simplified) |
| Number of pages | 25 |
| Journal | 系统工程理论与实践 |
| Early online date | 16 Jul 2025 |
| Publication status | E-pub ahead of print - 16 Jul 2025 |
Funding
基金项目: 国家自然科学基金 (72271060, 72332004, 72293560/72293565), 岭南大学林护研究基金 (LWP20033), 岭南大学学院研究基金 (DB24A8). Foundation item: National Natural Science Foundation of China (72271060, 72332004, 72293560/72293565), Lam Woo Research Fund at Lingnan University (LWP20033), Faculty Research Grant at Lingnan University (DB24A8).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
Keywords
- 电信大数据
- 行为研究
- 出行行为
- 移动应用
- 实证研究
- Telecommunication big data
- Behavior research
- Travel behavior
- APP
- Empirical study
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