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城市公交乘客出行等車滿意度影響因素的實證研究

發(fā)布時間:2018-06-27 00:13

  本文選題:城市公交 + 等車滿意度; 參考:《西南交通大學》2012年碩士論文


【摘要】:隨著經(jīng)濟的增長,我國城市化進程不斷加快,大量人員涌入城市,城市交通系統(tǒng)負擔越來越沉重。如果沒有科學的規(guī)劃和管理,城市化加速的背后必然會引起交通堵塞、出行緩慢、環(huán)境污染等一系列問題。據(jù)理論界學者的研究和國外發(fā)達國家的經(jīng)驗表明優(yōu)先發(fā)展公交系統(tǒng)可以有效地解決交通擁堵和緩解空氣污染等問題。 優(yōu)先發(fā)展公交,提高公交系統(tǒng)的整體服務(wù)水平,從而吸引更多的出行者選擇公交方式出行已是我國許多城市完善交通系統(tǒng)努力的方向。公交系統(tǒng)是一個復雜的綜合系統(tǒng),許多學者研究中將公交服務(wù)質(zhì)量系統(tǒng)劃分為等車質(zhì)量、旅途質(zhì)量、場站服務(wù)質(zhì)量和信息質(zhì)量等。本文基于前人研究的基礎(chǔ)上,對公交乘客等車滿意度進行深入研究;探討乘客等車滿意度的影響因素;建立乘客等車滿意度模型,挖掘影響因素與滿意度之間的內(nèi)在關(guān)系。 本文研究可以歸納為四個方面: 1、以成都公交為背景,基于RP和SP相結(jié)合的方法,設(shè)計成都市乘客公交等車滿意度調(diào)查問卷;采用多階段抽樣的調(diào)查方法,重點考察了成都市企業(yè)上班族和學生兩個群體的公交出行行為,并進行統(tǒng)計分析。 2、運用因子分析方法對影響乘客等車滿意度的所有因素進行分析,找出變量間共同的因子成分,對影響因素進行歸類;利用因子均值和重要性排名找出對乘客等車滿意度影響最重要的因子——等車時間。 3、通過調(diào)查得到的數(shù)據(jù),運用BP神經(jīng)網(wǎng)絡(luò)探索等車時間與等車滿意度之間的函數(shù)基本形式;利用ORIGIN軟件對數(shù)據(jù)進行擬合,構(gòu)建等車時間與等車滿意度的降指數(shù)模型;定義時間偏離度概念,通過函數(shù)變換得到時間偏離度與等車滿意度之間的函數(shù)關(guān)系符合展望理論的基本假設(shè)。 4、參考點選取的不同會直接影響乘客等車滿意度的心里感受。因此本文考察了等車時間參考點的形成和變換規(guī)律,建立參考點影響因素的多元線性回歸模型,得到“職業(yè)”、“預(yù)計發(fā)車間隔”、“電子站牌1站時間”、“一般等車時間”等4個變量組合顯著預(yù)測了等車時間參考點。 本文通過實證研究的方法探索影響乘客等車滿意度的理論模型,得到的結(jié)論可以為公交集團運營策略的完善和公交服務(wù)的提高提供決策參考。
[Abstract]:With the growth of economy, the process of urbanization in China is speeding up, a large number of people are pouring into cities, and the burden of urban transportation system is becoming more and more heavy. Without scientific planning and management, the acceleration of urbanization will inevitably lead to traffic congestion, slow travel, environmental pollution and a series of problems. According to the research of theorists and the experience of developed countries, the priority bus system can effectively solve the problems of traffic congestion and air pollution mitigation. Giving priority to the development of public transport, improving the overall service level of the public transport system, so as to attract more travelers to choose public transport mode travel has been the direction of many cities in our country to improve the transportation system. Bus system is a complex integrated system. Many scholars divide the quality of bus service system into waiting quality, travel quality, station service quality and information quality. Based on the previous studies, this paper makes a thorough study on the satisfaction of bus passengers waiting for vehicles; discusses the factors affecting the satisfaction of passengers waiting for vehicles; establishes a model of satisfaction of passengers waiting for vehicles; and excavates the internal relationship between the factors and satisfaction. This paper can be summed up into four aspects: 1, Chengdu bus as a background, based on RP and SP combination of the design of Chengdu passenger bus satisfaction questionnaire, the use of multi-stage sampling survey method, This paper focuses on the bus travel behavior of the two groups of office workers and students in Chengdu, and carries out statistical analysis. 2. Using factor analysis method to analyze all the factors that affect the satisfaction of passengers waiting for cars. Find out the common factor components among variables, classify the influencing factors; use factor mean and importance ranking to find out the most important factor on passenger waiting satisfaction. 3. Using BP neural network to explore the basic form of the function between waiting time and waiting vehicle satisfaction, using ORIGIN software to fit the data, build the waiting time and waiting vehicle satisfaction index model, define the concept of time deviation, The functional relationship between the degree of time deviation and the degree of satisfaction of waiting vehicles is obtained by functional transformation. 4. The choice of reference points will directly affect the psychological feelings of passengers' satisfaction with waiting for vehicles. In this paper, the formation and transformation of waiting time reference points are investigated, and the multivariate linear regression model of the influence factors of reference points is established, and the "occupation", "estimated departure interval", "the time of the first stop of the electronic station" are obtained. The combination of "general waiting time" and other four variables significantly predicted the waiting time reference points. In this paper, the theoretical model of passenger waiting satisfaction is explored by empirical research, and the conclusion can be used as a reference for the improvement of bus group operation strategy and bus service.
【學位授予單位】:西南交通大學
【學位級別】:碩士
【學位授予年份】:2012
【分類號】:F572;F224

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