基于SEM和ANN的新冠肺炎疫情期间大学生校内出行行为影响因素研究

刘猛, 赵胜川

交通运输研究 ›› 2021, Vol. 7 ›› Issue (5) : 43-53.

交通运输研究 ›› 2021, Vol. 7 ›› Issue (5) : 43-53. DOI: 10.16503/j.cnki.2095-9931.2021.05.006

基于SEM和ANN的新冠肺炎疫情期间大学生校内出行行为影响因素研究

作者信息 +

Influencing Factors of University Students′ Travel Behavior on Campus During COVID-19 Pandemic Based on SEM and ANN

  • LIU Meng ,  
  • ZHAO Sheng-chuan
Author information +
文章历史 +

摘要

为明确新冠肺炎疫情期间大学生校内出行行为的影响因素,从而更好地满足大学生的校内出行需求,对大学生的感知建成环境、态度、出行行为的相互作用关系及其受到的新冠肺炎疫情的影响进行研究。针对大连理工大学在校大学生进行问卷调查,收集个人基本属性、感知建成环境、态度、工作日和休息日的出行次数等相关数据,建立结构方程模型(Structural Equation Model, SEM)以探究各变量间的作用路径,并应用人工神经网络(Artificial Neural Network, ANN)对各影响因素对于出行行为的重要性进行排序。结果显示:①感知建成环境,尤其是便利性,对休息日出行行为(路径系数为0.241,P<0.05)和工作日出行行为(路径系数为0.193,P<0.05)均有显著正向影响;②态度对休息日出行行为(路径系数为0.200,P<0.05)有显著正向影响,对工作日出行行为无显著影响;③态度对感知建成环境的影响和感知建成环境对态度的影响均显著,但前者相对更强;④新冠肺炎疫情对感知建成环境和态度有显著负向的直接或间接影响。基于以上研究结果,建议各高校通过完善校园基础设施、优化布局,以改善大学生对校园建成环境的感知,培养积极的出行态度,从而促进大学生身心健康发展。

Abstract

In order to figure out the influencing factors of university students′ travel behavior on campus to better meet their needs of travel on campus during the pandemic of COVID-19, the paper studied the interrelation among perceived built environment, attitudes and travel behavior, as well as the influence of the pandemic on them. A questionnaire survey on students of Dalian University of Technology was conducted. The related data about perceived built environment, attitudes, trip times on weekends and weekdays were collected. Furthermore, the Structural Equation Models were established to explore the acting path among variables, and the ANN(Artificial Neural Network) was applied to rank the importance of each influencing factor to the travel behavior. The results indicated that: ①perceived environment, especially convenience, significantly promoted travel behavior both on weekends (its path coefficient was 0.241, P<0.05) and on weekdays (its path coefficient was 0.193, P<0.05); ②the attitudes had positive effect on travel behavior on weekends (its path coefficient was 0.200, P<0.05), but not on travel behavior on weekdays; ③the effect of attitudes on perceived environment and the effect of perceived environment on attitudes were both significant, but the former was much stronger; ④the pandemic had significant negative effects on perceived environment and attitudes, directly or indirectly. According the research results, it is suggested that campus facilities and layout should be optimized to help the students to improve their perception of built environment and cultivate positive attitudes to travel, which benefit the students′ mental and physical health.

关键词

新冠肺炎疫情 / 出行态度 / 出行行为 / 感知建成环境 / 结构方程模型 / 人工神经网络

Key words

COVID-19 pandemic / travel attitudes / travel behavior / perceived built environment / SEM(Structural Equation Model) / ANN(Artificial Neural Network)

引用本文

导出引用
刘猛, 赵胜川. 基于SEM和ANN的新冠肺炎疫情期间大学生校内出行行为影响因素研究[J]. 交通运输研究. 2021, 7(5): 43-53 https://doi.org/10.16503/j.cnki.2095-9931.2021.05.006
LIU Meng, ZHAO Sheng-chuan. Influencing Factors of University Students′ Travel Behavior on Campus During COVID-19 Pandemic Based on SEM and ANN[J]. Transport Research. 2021, 7(5): 43-53 https://doi.org/10.16503/j.cnki.2095-9931.2021.05.006

参考文献

[1]
金岳龙, 常微微, 常鑫, 等. 大学生新冠肺炎疫情在线学习期间心理健康及影响因素分析[J]. 中国学校卫生, 2021,42(4):574-578.
[2]
MA L, DILL J, MOHR C. The objective versus the perceived environment: what matters for bicycling?[J]. Transportation, 2014,41(6):1135-1152.
[3]
BROWNSON R C, HOEHNER C M, DAY K, et al. Measuring the built environment for physical activity: State of the science[J]. American Journal of Preventive Medicine, 2009,36(S4):99-123.
[4]
EWING R, CERVERO R. Travel and the built environment[J]. Journal of the American Planning Association, 2010,76(3):265-294.
[5]
HERRMANN-LUNECKE M G, MORA R, VEJARES P. Perception of the built environment and walking in pericentral neighbourhoods in Santiago, Chile[J]. Travel Behaviour and Society, 2021,23:192-206.
[6]
MA L, CAO J. How perceptions mediate the effects of the built environment on travel behavior?[J]. Transportation, 2019,46(1):175-197.
[7]
MA L, DILL J. Associations between the objective and perceived built environment and bicycling for transportation[J]. Journal of Transport & Health, 2015,2(2):248-255.
[8]
GUAN X, WANG D, JASON CAO X. The role of residential self-selection in land use-travel research: A review of recent findings[J]. Transport Reviews, 2020,40(3):267-287.
[9]
CHAN E T H, SCHWANEN T, BANISTER D. The role of perceived environment, neighbourhood characteristics, and attitudes in walking behaviour: Evidence from a rapidly developing city in China[J]. Transportation, 2019,48(1):431-454.
[10]
KIZONY R, SCHREUER N, ROTENBERG S, et al. Participation in out-of-home activities among older adults: The role of mobility, attitudes and travel behaviors[J]. Journal of Transport & Health, 2020,17:100846.
[11]
ARROYO R, RUIZ T, MARS L, et al. Influence of values, attitudes towards transport modes and companions on travel behavior[J]. Transportation Research Part F: Psychology and Behaviour, 2020,71:8-22.
[12]
RALPH K M, SMART M J, Noland R B, et al. Is it really too far? Overestimating walk time and distance reduces walking[J]. Transportation Research Part F: Psychology and Behaviour, 2020,74:522-535.
[13]
YANG Y, DIEZ-ROUX A V. Adults′ daily walking for travel and leisure: Interaction between attitude toward walking and the neighborhood environment[J]. American Journal of Health Promotion, 2017,31(5):435-443.
[14]
FRANK L, GILES-CORTI B, EWING R. The influence of the built environment on transport and health[J]. Journal of Transport & Health, 2016,3(4):423-425.
[15]
WOLDAY F, CAO J, NÆSS P. Examining factors that keep residents with high transit preference away from transit-rich zones and associated behavior outcomes[J]. Journal of Transport Geography, 2018,66:224-234.
[16]
MORCKEL V C. Examining the relationships between perceived neighborhood mobility characteristics, perceived incivilities, travel attitudes, and physical activity amongst university faculty and staff[J]. Journal of Transport & Health, 2016,3(1):86-95.
[17]
FESTINGER L. A Theory of Cognitive Dissonance[M]. Stanford: Stanford University Press, 1957.
[18]
姜楠, 李赛, 曹素珍, 等. 新冠肺炎疫情期间我国人群交通出行行为分析[J]. 环境科学研究, 2020,33(7):1675-1682.
[19]
邹晟誉. 基于MNL回归模型的疫情防控背景下居民出行方式影响因素证分析[J]. 山东交通科技, 2020(4):98-102.
[20]
赵海峰, 万迪昉. 结构方程模型与人工神经网络模型的比较[J]. 系统工程理论方法应用, 2003(3):262-269.
[21]
MARUYAMA G M. Basics of Structural Equation Modeling[M]. Thousand Oaks, US: Sage Publications Inc, 1997.
[22]
景鹏, 黄芳, 徐刚, 等. 自动驾驶支付意愿及影响因素分析[J]. 长安大学学报(自然科学版), 2021,41(1):90-102.
[23]
刘诗宇. 基于结构方程模型的城市轨道交通乘客满意度影响因素研究[D]. 重庆:重庆大学, 2016.
[24]
王凯文, 封学军, 蒋柳鹏, 等. 基于结构方程模型的港口高质量发展关键动能识别[J]. 交通运输研究, 2021,7(2):1-10.
[25]
CERIN E, CONWAY T L, SAELENS B E, et al. Cross-validation of the factorial structure of the Neighborhood Environment Walkability Scale(NEWS) and its abbreviated form(NEWS-A)[J]. Bi-oMed Central, 2009,6(1):32.
[26]
FORNELL C, LARCKER D F. Structural equation models with unobservable variables and measurement error: Algebra and statistics[J]. Journal of Marketing Research, 1981,18(3):39-50.
[27]
LAM L W. Impact of competitiveness on salespeople's commitment and performance[J]. Journal of Business Research, 2012,65(9):1328-1334.

基金

国家自然科学基金项目(51478085)

版权

版权所有,未经授权,不得转载、摘编本刊文章,不得使用本刊的版式设计。

Accesses

Citation

Detail

段落导航
相关文章

/