交通运输系统工程与信息
交通運輸繫統工程與信息
교통운수계통공정여신식
JOURNAL OF COMMUNICATION AND TRANSPORTATION SYSTEMS ENGINEERING AND INFORMATION
2014年
6期
21-29
,共9页
交通工程%出行行为%潜变量%整合模型%结构方程模型
交通工程%齣行行為%潛變量%整閤模型%結構方程模型
교통공정%출행행위%잠변량%정합모형%결구방정모형
traffic engineering%travel behavior%latent variables%integrated model%structural equation model
潜变量是提高交通出行行为预测精度的有效方法,潜变量的提出为出行行为研究提供了新视角。为解决目前出行行为中缺少潜变量概念认知及潜变量应用的问题,本文从社会心理学入手,分析已有出行行为建模方法的特点,提出潜变量研究的必要性,对出行行为中潜变量内涵、应用领域、模型构建进行系统梳理,明确潜变量研究的三个核心问题是识别、有效性验证及计算。评述与研究涵盖潜变量的出行行为整合模型的机遇、难点和挑战。并揭示潜变量测度方法与SP/RP调查的关联性,综述潜变量模型检验判定标准,最后总结出行行为潜变量研究的发展趋势及发展方向。
潛變量是提高交通齣行行為預測精度的有效方法,潛變量的提齣為齣行行為研究提供瞭新視角。為解決目前齣行行為中缺少潛變量概唸認知及潛變量應用的問題,本文從社會心理學入手,分析已有齣行行為建模方法的特點,提齣潛變量研究的必要性,對齣行行為中潛變量內涵、應用領域、模型構建進行繫統梳理,明確潛變量研究的三箇覈心問題是識彆、有效性驗證及計算。評述與研究涵蓋潛變量的齣行行為整閤模型的機遇、難點和挑戰。併揭示潛變量測度方法與SP/RP調查的關聯性,綜述潛變量模型檢驗判定標準,最後總結齣行行為潛變量研究的髮展趨勢及髮展方嚮。
잠변량시제고교통출행행위예측정도적유효방법,잠변량적제출위출행행위연구제공료신시각。위해결목전출행행위중결소잠변량개념인지급잠변량응용적문제,본문종사회심이학입수,분석이유출행행위건모방법적특점,제출잠변량연구적필요성,대출행행위중잠변량내함、응용영역、모형구건진행계통소리,명학잠변량연구적삼개핵심문제시식별、유효성험증급계산。평술여연구함개잠변량적출행행위정합모형적궤우、난점화도전。병게시잠변량측도방법여SP/RP조사적관련성,종술잠변량모형검험판정표준,최후총결출행행위잠변량연구적발전추세급발전방향。
Latent variable methed is an effective way to improve the prediction accuracy of travel behavior. And a new perspective to travel behavior research is provided by latent variable. In order to solve the problems about lack of cognition and application of latent variable on travel behavior, the characteristics of existing travel behavior modeling method are analyzed based on social psychology. And the necessity of research on the latent variable is proposed. The connotation, application field and model building of latent variable on urban travel behavior are systemized. Three core problems are defined, which are identification, validation and calculation. It is reviewed and studied the opportunity, difficulty and challenge of travel behavior integrated model covering the latent variables. The relevance between measure method of latent variable and SP/RP survey is revealed. And then the model test standard is summarized. Finally the development trend of latent variable research and the direction of our efforts are proposed.