本文關(guān)鍵詞：影響出行決策的交通質(zhì)量多因素感知特征　出處：《交通運(yùn)輸工程學(xué)報(bào)》2017年02期 　論文類型：期刊論文

  更多相關(guān)文章： 交通管理 交通質(zhì)量因素 因子分析 結(jié)構(gòu)方程模型 出行決策 綜合路徑系數(shù)

【摘要】：分析了影響出行決策的交通質(zhì)量因素及重要程度,篩選了10個主要因素,運(yùn)用需求層次模型構(gòu)建了交通質(zhì)量因素基本體系,利用探索性因子分析法構(gòu)建了交通質(zhì)量因素結(jié)構(gòu)體系分析模型,基于結(jié)構(gòu)方程模型模擬了出行者個體特征、成本約束、出行決策及交通質(zhì)量因素之間的影響關(guān)系,基于出行意愿調(diào)查數(shù)據(jù)進(jìn)行試驗(yàn)分析,得到了交通質(zhì)量因素的二階層次結(jié)構(gòu)體系和結(jié)構(gòu)方程模型路徑系數(shù)圖,分析了交通質(zhì)量因素對出行決策影響程度的綜合路徑系數(shù)與不同城市等級交通質(zhì)量因素重要性的數(shù)值特征。分析結(jié)果表明:交通質(zhì)量因素結(jié)構(gòu)體系的前2個因子共解釋了84.9%的總方差,且2個因子載荷系數(shù)均大于0.6,表明交通質(zhì)量因素結(jié)構(gòu)體系具有合理性;試驗(yàn)數(shù)據(jù)的克朗巴哈系數(shù)為0.86,效度檢驗(yàn)系數(shù)為0.84,具有較高的信度及效度;結(jié)構(gòu)方程模型的復(fù)核效度整體平均值為86.9%,且各個路徑系數(shù)的復(fù)核效度均大于80%,模型對任意樣本適用性較好;按照重要度排序,交通質(zhì)量前4個因素依次為可靠性、快捷性、經(jīng)濟(jì)性、舒適性,綜合路徑系數(shù)分別為0.78、0.73、0.67、0.60;不同城市等級的交通質(zhì)量因素重要度具有差異性,超大型城市最重要的因素是可靠性,路徑系數(shù)為1.44,而小城市最重要的因素是舒適性,路徑系數(shù)為1.72�？梢�,針對城市居民對交通質(zhì)量因素感知特征制定相應(yīng)的改善政策,可提高交通質(zhì)量改善的效率和有效性。
[Abstract]:Analysis of the factors affecting the quality of traffic travel decision-making and the important degree, selected the 10 main factors, constructs the traffic quality factors of basic system by using the hierarchical model, exploratory factor analysis method to construct the factor structure system of traffic quality analysis model using structural equation model to simulate the individual traveler characteristics, based on cost constraints, influence between the factors of travel decision-making and traffic quality, analyzed travel will based on survey data, obtained two order hierarchical structure and structural equation model of path coefficient diagram of traffic quality factors, analyzes the numerical characteristics of the travel decision comprehensive influence factors and the path coefficient of different city traffic quality grade the importance of traffic quality factors results showed that the factor structure system of the traffic quality of the first 2 factors explained 84.9% of the total variance, and the 2 factors The load coefficient is greater than 0.6, indicated that the factor structure system of traffic quality is reasonable; the test data of Baja Koruna coefficient is 0.86, coefficient of test validity was 0.84, with high reliability and validity; review the validity of structural equation model in average was 86.9%, and the cross validation of each path coefficient is greater than 80%, a better model for any the applicability of the sample; according to the important degree of order, the traffic quality of the first 4 factors are reliability, rapidity, economy, comfort, integrated path coefficients were 0.78,0.73,0.67,0.60; different levels of city traffic quality factors important degree is different, the most important factors of super large city is reliability, the path coefficient was 1.44, and the the small city is the most important factor of comfort, path coefficient is 1.72. visible for city residents on traffic quality factors of perceived characteristics and formulate corresponding policies can be improved The efficiency and effectiveness of improving traffic quality.

【作者單位】： 同濟(jì)大學(xué)道路與交通工程教育部重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金項(xiàng)目(51238008)
【分類號】：U491
【正文快照】： 0引言隨著城市交通擁堵的日趨嚴(yán)重及城市多方式出行的綜合運(yùn)輸體系特點(diǎn),傳統(tǒng)的以交通工具暢行為導(dǎo)向的交通質(zhì)量評估方法難以體現(xiàn)出行者生理及心理對交通服務(wù)感知特性。另外,面對出行者的多樣化及個性化交通需求,如何有的放矢地制定交通質(zhì)量改善策略,從而提升效率并獲得出行者

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本文編號：1400773