地理科学进展 ›› 2015, Vol. 34 ›› Issue (10): 1275-1287.doi: 10.18306/dlkxjz.2015.10.008
收稿日期:
2015-03-01
接受日期:
2015-07-01
出版日期:
2015-10-20
发布日期:
2015-10-20
作者简介:
作者简介:王灿(1987-),男,安徽阜阳人,博士研究生,主要研究方向为城市规划方法与技术,E-mail:
基金资助:
Can WANG1(), De WANG1, Wei ZHU1, Shan SONG2
Received:
2015-03-01
Accepted:
2015-07-01
Online:
2015-10-20
Published:
2015-10-20
摘要:
本文从离散选择模型(discrete choice model, DCM)体系的一般原理和应用价值出发,总结了各经典模型的基本理论和典型应用,并概括了近来年一些重要的研究新动向。多项Logit模型(multinomial logit model, MNL)是离散选择模型体系的基础,具有简洁、可靠、易实现等优点,但也存在固有的理论缺陷,由此产生了对更加精细化模型的需求。替代的精细化模型中,嵌套Logit模型(nested logit model, NL)常用于处理备选项相关、“都不选”备选项、数据合并等问题,一般极值模型(generalized extreme value model, GEV)体系是其更一般的形式;混合Logit模型(mixed logit model, MXL)可用于解决随机偏好问题和多种相关问题,包括备选项相关、面版数据相关、随机系数相关、数据合并等,与之类似的潜在类别模型也有着广泛应用;多项Probit模型(multinomial probit model, MNP)具有极高的灵活性,但其复杂的模型设定与庞大的运算量大大制约了其应用范围。本文在研究新动向上介绍了4个重要的研究关注点:由多种经典模型形式相结合而成的复杂模型;面向RP/SP数据、定序、排序、多选等不同数据类型的适宜模型;基于各种受限理性选择策略的更为真实的模型;以及考虑选择的时空背景的模型。
王灿, 王德, 朱玮, 宋姗. 离散选择模型研究进展[J]. 地理科学进展, 2015, 34(10): 1275-1287.
Can WANG, De WANG, Wei ZHU, Shan SONG. Research progress of discrete choice models[J]. PROGRESS IN GEOGRAPHY, 2015, 34(10): 1275-1287.
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