交通运输工程与信息学报
交通運輸工程與信息學報
교통운수공정여신식학보
JOURNAL OF TRANSPORTATION ENGINEERING AND INFORMATION
2014年
2期
28-35
,共8页
离散选择模型%交通方式划分%MNL模型%NL模型%MMNL模型%HEV模型%MNP模型
離散選擇模型%交通方式劃分%MNL模型%NL模型%MMNL模型%HEV模型%MNP模型
리산선택모형%교통방식화분%MNL모형%NL모형%MMNL모형%HEV모형%MNP모형
Discrete choice models%traffic mode split%MNL model%NL model%MMNL model%HEV model%MNP model
本文章介绍了MNL、NL、HEV、MNP、MMNL等五种离散选择模型,重点分析了它们各自的理论基础与特点,并应用于交通方式划分案例,对模型参数进行标定。结果表明,NL模型能够较好解决存在于替选方案的相似性问题;MMNL预测误差最小,可靠性最高,较NL、HEV、MNP模型更能解决交通方式选择行为中存在的相似性、异质性问题,是一种对交通方式选择行为预测的有效方法。该研究对交通方式分担率预测问题具有重要的指导意义,因为通过简单选择某个离散选择模型开展研究得出的结论并不一定可靠,应根据模型特点谨慎选择、谨慎应用。
本文章介紹瞭MNL、NL、HEV、MNP、MMNL等五種離散選擇模型,重點分析瞭它們各自的理論基礎與特點,併應用于交通方式劃分案例,對模型參數進行標定。結果錶明,NL模型能夠較好解決存在于替選方案的相似性問題;MMNL預測誤差最小,可靠性最高,較NL、HEV、MNP模型更能解決交通方式選擇行為中存在的相似性、異質性問題,是一種對交通方式選擇行為預測的有效方法。該研究對交通方式分擔率預測問題具有重要的指導意義,因為通過簡單選擇某箇離散選擇模型開展研究得齣的結論併不一定可靠,應根據模型特點謹慎選擇、謹慎應用。
본문장개소료MNL、NL、HEV、MNP、MMNL등오충리산선택모형,중점분석료타문각자적이론기출여특점,병응용우교통방식화분안례,대모형삼수진행표정。결과표명,NL모형능구교호해결존재우체선방안적상사성문제;MMNL예측오차최소,가고성최고,교NL、HEV、MNP모형경능해결교통방식선택행위중존재적상사성、이질성문제,시일충대교통방식선택행위예측적유효방법。해연구대교통방식분담솔예측문제구유중요적지도의의,인위통과간단선택모개리산선택모형개전연구득출적결론병불일정가고,응근거모형특점근신선택、근신응용。
Five typical discrete choice models were introduced, which were MNL, NL, HEV, MNP and MMNL.The model characteristics and their features were discussed and compared. Then these models were used to study the mode split in a case, and to calibrate the model parameters. The result indicated that each model would have different representation in the same case. It was also found that NL model could solve the similarity in the alternative heterogeneity. Results from this analysis suggested that the error of MMNL was smallest,its prediction reliability was highest. MMNL model was a better model than the other four models in solving the heterogeneity and similarity problems and it could improve the model explanation power significantly,and was the most effective method to predict mode choice. The research is very important for transport mode split forecast, which indicates that the conclusion derived from only one model in the existing researches may be not reliable.It should be chose cautiously according to the characteristics of the models.