The selection model of customized bus travel sharing rate based on prospect theory and grey correlation method
In order to improve the level of public transport services and the sharing rate of customized buses,we take four modes of travel,namely customized buses,conventional buses,taxis and subways,consider four travel influencing factors,namely,travel time,travel cost,convenience and comfort,and construct a travel choice model based on multinomial Logit model combining prospect theory and grey correlation,and take the example of the underground station of Dongyu-Fujian Normal University to the south railway station of Fuzhou A study is conducted.The results show that the sharing rates of custom bus,regular bus,taxi and underground are 28.35%,14.63%,23.14%and 33.88%,which is within 5%of the maximum error of the actual questionnaire survey,and is more in line with the real situation than the sharing rate calculated by the utility theory.Moreover,the sharing rate of customized buses does not change significantly when the fare increases or decreases by 1 yuan or 2 yuan,while the shortening of the ride time has a greater increase in the sharing rate.
customized bustravel choiceprospect theorygrey correlation methodmultinomial Logit model
万方数据
维普
