Research Review of Influence of Social Network
Information on Travel Behavior

doi:10.16097/j.cnki.1009-6744.2023.02.001

Abstract

Abstract: To quantitatively review the research results of the influence of social network information on travel behavior, this paper retrieved and screened 133 English and 32 Chinese literatures from 2010 to 2022 based on the database of Web of Science and China National Knowledge Infrastructure. Through the combination of knowledge graph and qualitative literature analysis, the paper quantified and counted three indexes of annual publication volume, research hotspot countries, and keyword graph. The research results were presented in four aspects, including research methodology, social network information behavior, the influence of social network information on travel decisionmaking, and the influence of social network information on travel activities. The results show that: (1) in terms of data sources, the basic data of existing research haven't achieved the integration of feature dimension and decision dimension, and it is necessary to further integrate multi-source data to improve the robustness of research conclusions. (2) In terms of research methods, the existing research lack mutual support among analysis methods, and a variety of research methods can be integrated to analyze the influence of social network information on travel behavior across disciplines. (3) In terms of research content, the existing research results cannot fully reflect the development trend of future travel, and the heterogeneity of travelers can be given more attention. It is necessary to analyze the connection mode between social network information and travel behavior considering traveler heterogeneity in combination with new scenarios such as autonomous driving and shared travel.

Key words: urban traffic, social network, travel behavior, influence, knowledge graph

摘要： 为定量梳理社交网络信息对出行行为影响的研究成果，本文基于Web of Science核心数据库与CNKI知网数据库，检索并筛选2010—2022年间133篇英文文献和32篇中文文献。采用知识图谱分析和传统定性文献分析相结合的方法，量化统计文献的年度发文量、研究热点国家、关键词图谱这3类指标，并从方法模型、社交网络信息行为、社交网络信息对出行决策的影响、社交网络信息对出行活动的影响这4个方面总结现有研究成果。结果表明：数据来源上，现有研究的基础数据尚未实现特征维与决策维融合，需要进一步融合多源数据提升研究结论的鲁棒性；研究方法上，现有研究缺乏分析方法之间的相互支撑，可整合多种研究手段跨学科分析社交网络信息对出行行为的影响；研究内容上，现有研究成果无法全面反映未来出行的发展趋势，且对出行者异质性关注不足，需结合无人驾驶、共享出行等新场景，考虑出行者异质性解析社交网络信息与出行行为之间的联系模式。

关键词: 城市交通, 社交网络, 出行行为, 影响, 知识图谱

CLC Number:

U121

CHEN Jian, ZHANG Chi, FU Zhi-yan, LIU Ke-liang. Research Review of Influence of Social Network Information on Travel Behavior[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(2): 1-10.

陈坚, 张弛, 傅志妍, 刘柯良. 社交网络信息对出行行为的影响研究综述[J]. 交通运输系统工程与信息, 2023, 23(2): 1-10.

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References

[1] SIMON K. Digital 2022: Global overview report [EB/OL]. We Are Social & Hootsuite, (2022- 01- 26) [2023- 01- 28]. https: //datareportal.com/reports/digital-2022-globaloverview-report.

[2] 中国互联网信息中心. 第49次中国互联网络发展状况统计报告[R]. 北京: 中国互联网络信息中心, 2022.[China Internet Network Information Center. The 49th statistical report on internet development in China[R]. Beijing: CNNIC, 2022.]

[3] MILGRAM S. Behavioral study of obedience[J]. Journal of Abnormal and Social Psychology, 1963, 67(4): 371- 378.

[4] MARIN A, WELLMAN B. Social network analysis: An introduction[M]// JOHN S. The sage handbook of social network analysis, London: Sage, 2011: 11-25.

[5] 姜桂艳, 张春勤, 吴正言, 等. 交通信息对出行行为的影响分析综述[J]. 武汉理工大学学报(交通科学与工程版), 2012, 36(3): 450-453, 457. [JIANG G Y, ZHANG C Q, WU Z Y, et al. A review of the analysis of the influence of traffic information on travel behavior[J]. Journal of Wuhan University of Technology (Transportation Science & Engineering), 2012, 36(3): 450-453, 457.]

[6] 朱康丽, 吴建军, 李大庆. 社交与出行的相互作用研究综述[J]. 北京交通大学学报, 2021, 45(4): 69-78. [ZHU K L, WU J J, LI D Q. A review of research on interplay of social relationship and travel behavior[J]. Journal of Beijing Jiaotong University, 2021, 45(4): 69-78.]

[7] BAKER R K, WHITE K M. Predicting adolescents' use of social networking sites from an extended theory of planned behaviour perspective[J]. Computers in Human Behavior, 2010, 26(6): 1591-1597.

[8] BILGIHAN A, BARREDA A, OKUMUS F, et al. Consumer perception of knowledge-sharing in travelrelated Online Social Networks[J]. Tourism Management, 2016, 52: 287-296.

[9] CARRASCO J A, MILLER E J. Exploring the propensity to perform social activities: A social network approach[J]. Transportation, 2006, 33(5): 463-480.

[10] 陈坚, 余豪, 张弛. 社交网络环境下交通信息接受行为研究[J]. 重庆交通大学学报(自然科学版), 2020, 39(12): 13-19, 25. [CHEN J, YU H, ZHANG C. Traffic information acceptance behavior in social network environment[J]. Journal of Chongqing Jiaotong University (Natural Sciences), 2020, 39(12): 13-19, 25.]

[11] 傅志妍, 赵翰林, 陈坚, 等. 社交网络交通信息对出行方式选择行为影响模型[J]. 交通运输系统工程与信息, 2019, 19(2): 22-29. [FU Z Y, ZHAO H L, CHEN J, et al. Influence model of social network traffic information on the travel mode choice behavior[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(2): 22-29.]

[12] GOETZKE F. Network effects in public transit use: Evidence from a spatially autoregressive mode choice model for New York[J]. Urban Studies, 2008, 45(2): 407- 417.

[13] HAN Q, ARENTZE T, TIMMERMANS H, et al. The effects of social networks on choice set dynamics: Results of numerical simulations using an agent-based approach[J]. Transportation Research Part A: Policy and Practice, 2011, 45(4): 310-322.

[14] XIAO Y, LO H K. Day-to-day departure time modeling under social network influence[J]. Transportation Research Part B: Methodological, 2016, 92: 54-72.

[15] 张兆泽, 黄海军. 社交网络信息对出行时刻选择行为的影响[J]. 交通运输系统工程与信息, 2017, 17(5): 22- 28. [ZHANG Z Z, HUANG H J. Impacts of social network media on departure time choice behavior[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(5): 22-28.]

[16] WILSON T D. On User studies and information needs[J]. Journal of Documentation, 1981, 37(6): 658-670.

[17] WILSN T D. Human information behavior[J]. Informing Science, 2000, 3(2): 49-56.

[18] 莫一魁, 苏永云, 沈旅欧. 基于结构方程的小汽车驾驶员信息偏好分析[J]. 系统工程, 2009, 27(8): 85-89. [MO Y K, SU Y Y, SHEN L O. Analysis of car drivers' preference for traffic information based on structural equation modeling[J]. Systems Engineering, 2009, 27(8): 85-89.]

[19] 李春燕, 陈峻, 叶晓飞, 等. 出行前信息提供条件下驾驶员路径选择行为建模[J]. 东南大学学报(英文版), 2012, 28(3): 344-348. [LI C Y, CHEN J, YE X F, et al. Modeling commuters' route choice behavior under pretrip information system[J]. Journal of Southeast University (English Edition), 2012, 28(3): 344-348.]

[20] WISE K, ALHABASH S, PARK H. Emotional responses during social information seeking on Facebook[J]. Cyberpsychology, Behavior, and Social Networking, 2010, 13(5): 555-562.

[21] 查先进, 张晋朝, 严亚兰. 微博环境下用户学术信息搜寻行为影响因素研究: 信息质量和信源可信度双路径视角[J]. 中国图书馆学报, 2015, 41(3): 71-86. [ZHA X J, ZHANG J Z, YAN Y L. Impacting factors of users' academic information seeking behavior in the context of microblogs: A dual-route perspective of information quality and information source credibility[J]. Journal of Library Science in China, 2015, 41(3): 71-86.]

[22] DEWI N I K, GEDE I G K, KENCANAWATI A A A M, et al. Social media usage by generation Z in pre-trip planning[C]. International Conference on Applied Science and Technology on Social Science (ICAST-SS 2020), Atlantis Press, 2021: 190-195.

[23] FARDOUS J, DU J T, HANSEN P, et al. Group trip planning and information seeking behaviours by mobile social media users: A study of tourists in Australia, Bangladesh and China[J]. Journal of Information Science, 2021, 47(3): 323-339.

[24] JOSEPH A I, PETER S, ANANDKUMAR V. Development of a typology of tourists based on pre-trip

use of social media[J]. International Journal of Hospitality & Tourism Administration, 2022, 23(4): 650- 678.

[25] CHEUNG C M K, CHIU P Y, LEE M K O. Online social networks: Why do students use Facebook? [J]. Computers in Human Behavior, 2011, 27(4): 1337-1343.

[26] KIM K S, SIN S C J, YOO-LEE E Y. Undergraduates' use of social media as information sources[J]. College & Research Libraries, 2014, 75(4): 442-457.

[27] PARRA-LOPEZ E, BULCHAND-GIDUMAL J, GUTIERREZ-TANO D, et al. Intentions to use social media in organizing and taking vacation trips[J]. Computers in Human Behavior, 2011, 27(2): 640-654.

[28] CHUNG N, HAN H, KOO C. Adoption of travel information in user-generated content on social media: The moderating effect of social presence[J]. Behaviour and Information Technology, 2015, 34(9): 902-919.

[29] CHEN J, LI R, FU Z, et al. An empirical study on travelers' acceptance intention of travel information on social networks[J]. Mathematical Problems in Engineering, 2020(11): 1-12.

[30] 张敏, 向阳, 陆宇洋. 社会关系强度对大学生微信知识共享行为的影响分析[J]. 图书情报工作, 2015(23): 64- 71. [ZHANG M, XIANG Y, LU Y Y. Analysis on the influence of the strength of social relations on the college students' knowledge sharing behavior in Wechat[J]. Library and Information Service, 2015(23): 64-71.]

[31] DANIEL B K, MCCALLA G I, SCHWIER R A. Social network analysis techniques: implications for information and knowledge sharing in virtual learning communities [J]. International Journal of Advanced Media and Communication, 2008, 2(1): 20-34.

[32] LIOU D K, CHIH W H, HSU L C, et al. Investigating information sharing behavior: The mediating roles of the desire to share information in virtual communities[J]. Information Systems and e-Business Management, 2016, 14(2): 187-216.

[33] MUNAR A M, JACOBSEN J K S. Motivations for sharing tourism experiences through social media[J]. Tourism Management, 2014, 43: 46-54.

[34] OLIVEIRA T, ARAUJO B, TAM C. Why do people share their travel experiences on social media?[J]. Tourism Management, 2020, 78: 104041.

[35] OLIVEIRA T, ARAUJO B, TAM C. Dataset for understanding why people share their travel experiences on social media: Structural equation model analysis[J]. Data in Brief, 2020, 30: 105447.

[36] YAO Y, JIA G, HOU Y. Impulsive travel intention induced by sharing conspicuous travel experience on social media: A moderated mediation analysis[J]. Journal of Hospitality and Tourism Management, 2021, 49: 431- 438.

[37] RASHIDI T H, ABBASI A, MAGHREBI M, et al. Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges[J]. Transportation Research Part C: Emerging Technologies, 2017, 75: 197-211.

[38] AMPT E, RUIZ T. Workshop synthesis: Use of social media, social networks and qualitative approaches as innovative ways to collect and enrich travel data[J]. Transportation Research Procedia, 2018, 32(1): 93-98.

[39] HACKNEY J, MARCHAL F. A coupled multi-agent microsimulation of social interactions and transportation behavior[J]. Transportation Research Part A: Policy and Practice, 2011, 45(4): 300-309.

[40] HASAN S, UKKUSURI S V. Location contexts of user check-ins to model urban geo life-style patterns[J]. PLOS ONE, 2015, 10(5): e0124819.

[41] HUANG A, GALLEGOS L, LERMAN K. Travel analytics: Understanding how destination choice and business clusters are connected based on social media data[J]. Transportation Research Part C: Emerging Technologies, 2017, 77: 245-256.

[42] 隋正伟, 邬阳, 刘瑜. 基于签到数据的用户空间出行相似性度量方法研究[J]. 地理信息世界, 2013(3): 26-30. [SUI Z W, WU Y, LIU Y. Clustering LBSNS users based on check-in records[J]. Geomatics World, 2013(3): 26- 30.]

[43] SUBRAMANIVASWAMY V, VIJAYAKUMAR V, LOGESH R, et al. Intelligent travel recommendation system by mining attributes from community contributed photos[J]. Procedia Computer Science, 2015, 50: 447- 455.

[44] HAN J, LEE H. Adaptive landmark recommendations for travel planning: Personalizing and clustering landmarks using geo-tagged social media[J]. Pervasive and Mobile Computing, 2015, 18: 4-17.

[45] CENAMOR I, ROSA T D L, NUNEZ S, et al. Planning for tourism routes using social networks[J]. Expert Systems with Applications, 2017, 69(3): 1-9.

[46] SHERWIN H, CHATTERJEE K, JAIN J. An exploration of the importance of social influence in the decision to start bicycling in England[J]. Transportation Research Part A: Policy and Practice, 2014, 68: 32-45.

[47] WANG C H, AKAR G, GULDMANN J M. Do your neighbors affect your bicycling choice? A spatial probit model for bicycling to the ohio state university[J]. Journal of Transport Geography, 2015, 42: 122-130.

[48] GOETZKE F, RAVE T. Bicycle use in Germany: Explaining differences between municipalities with social network effects[J]. Urban Studies, 2011, 48(2): 427-437.

[49] PIKE S. Travel mode choice and social and spatial reference groups: Comparison of two formulations[J].Transportation Research Record, 2014, 2412(1): 75-81.

[50] PIKE S, LUBELL M. Geography and social networks in transportation mode choice[J]. Journal of Transport Geography, 2016, 57: 184-193.

[51] 刘天亮, 张冲, 王天歌, 等. 朋友圈信息交互对个体出行决策行为的影响研究[J]. 交通运输系统工程与信息, 2016, 16(6): 86-93. [LIU T L, ZHANG C, WANG T G, et al. Effects of friends' information interaction on travel decisions[J]. Journal of Transportation Systems Engineering and Information Technology, 2016, 16(6): 86-93.]

[52] 戢晓峰, 连晨希. 基于后悔理论的社交网络分享型交通信息的用户价值研究[J]. 交通信息与安全, 2018, 36 (1): 81-87. [JI X F, LIAN C X. A study of user value of traffic information distributed through social network based on regret theory[J]. Journal of Transport Information and Safety, 2018, 36(1): 81-87.]

[53] 余豪, 陈坚. 社交信息背景下路径决策行为实验[J]. 计算机工程与科学, 2021, 43(1): 161-169. [YU H, CHEN J. Experiment on path decision behavior in the context of social information[J]. Computer Engineering & Science, 2021, 43(1): 161-169.]

[54] ZHANG C, LIU T L, HUANG H J, et al. A cumulative prospect theory approach to commuters' day-to-day routechoice modeling with friends' travel information[J]. Transportation Research Part C: Emerging Technologies, 2018, 86: 527-548.

[55] ZHANG Z Z, TANG T Q, HUANG H J. Modeling the social-influence-based route choice behavior in a tworoute network[J]. Physica A: Statistical Mechanics and its Applications, 2019, 531(10): 12-17.

[56] WEI F, JIA N, MA S. Day-to-day traffic dynamics considering social interaction: From individual route choice behavior to a network flow model[J]. Transportation Research Part B: Methodological, 2016, 94: 335-354.

[57] RODRIGUEZ L, PALANCA J, DEL V E, et al. Analyzing urban mobility paths based on users' activity in social networks[J]. Future Generation Computer Systems, 2020, 102(2): 333-346.

[58] ARENTZE T, TIMMERMANS H. Social networks, social interactions, and activity-travel behavior: A framework for microsimulation[J]. Environment and Planning B: Planning and Design, 2008, 35(6): 1012-1027.

[59] CARRASCO J A, MILLER E J. The social dimension in action: A multilevel, personal networks model of social activity frequency between individuals[J]. Transportation Research, Part A: Policy and Practice, 2009, 43(1): 92- 104.

[60] HABIB K N, CARRASCO J A. Investigating the role of social networks in start time and duration of activities: A trivariate simultaneous econometric model[J]. Transportation Research Record: Journal of the Transportation Research Board, 2011, 444(2230): 1-8.

[61] LIN T, WANG D. Social networks and joint/solo activitytravel behavior[J]. Transportation Research Part A: Policy and Practice, 2014, 68: 18-31.

[62] CUI Y, MENG C, HE Q, et al. Forecasting current and next trip purpose with social media data and Google Places[J]. Transportation Research Part C: Emerging Technologies, 2018, 97: 159-174.

[63] SUN Y, LI M. Investigation of travel and activity patterns using location-based social network data: A case study of active mobile social media users[J]. ISPRS International Journal of Geo-Information, 2015, 4(3): 1512-1529.

[64] KHAN N A, HABIB M A, JAMAL S. Investigation of weekend travel, social networking and transport-support application usage: A structural equation modeling approach[J]. Procedia Computer Science, 2018, 130: 510-517.

[65] RYBARCZYK G, BANERJEE S, STARKINGSZYMANSKI M D, et al. Travel and us: The impact of mode share on sentiment using geo-social media and GIS [J]. Journal of Location Based Services, 2018, 12(1): 40- 62.

[66] NILASHI M, ABUMALLOH R A, ALRIZQ M, et al. What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology[J]. Telematics and Informatics, 2022, 69: 101795.

[67] SCHONER-SCHATZ L, HOFMANN V, STOKBURGERSAUER N E. Destination's social media communication and emotions: An investigation of visit intentions, wordof-mouth and travelers' facially expressed emotions[J]. Journal of Destination Marketing & Management, 2021, 22: 100661.

Research Review of Influence of Social Network Information on Travel Behavior

社交网络信息对出行行为的影响研究综述

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