...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Transportation Research Record >Accommodating Heterogeneity and Heteroscedasticity in Intercity Travel Mode Choice Model: Formulation and Application to HoNam, South Korea, High-Speed Rail Demand Analysis
【24h】

Accommodating Heterogeneity and Heteroscedasticity in Intercity Travel Mode Choice Model: Formulation and Application to HoNam, South Korea, High-Speed Rail Demand Analysis

机译：城际出行方式选择模型中的适应异质性和异方差性：在韩国HoNam的提出和应用，高铁需求分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Multinomial logit models and nested logit models are limited in that they cannot accommodate unobserved variations in travelers' taste and they do not have flexible substitution patterns among alternatives because of the independence of irrelevant alternatives property. Taking this background into account, traffic demand analysts have recently used the mixed logit model in many studies. Unfortunately, most of the studies in the literature for joint analysis of revealed-preference (RP) and stated-preference (SP) data could not simultaneously resolve the two limitations just mentioned. The mixed logit framework is used to formulate an intercity travel mode choice model for joint RP-SP analysis that accommodates the following behavioral considerations: (a) observed and unobserved heterogeneity across individuals in response to level-of-service (LOS) factors, (b) heteroscedasticity across alternatives, and (c) scale differences between the RP and SP choice contexts. The mixed logit formulation is estimated with the maximum simulated likelihood method that employs quasi-random Halton draws. The formulation is applied to examine the travel behavior responses of users of the HoNam, South Korea, high-speed rail to changes in travel conditions. The empirical results show that there is a significant heteroscedasticity across alternatives and a significant heterogeneity in response to LOS attributes based on both observed and unobserved individual characteristics. There is an improvement in the data-fit statistics when one introduces heterogeneity and heteroscedasticity. These results highlight the need to include heterogeneity and heteroscedasticity within the context of intercity travel mode choice modeling to assist policy decision making.
机译：多项式logit模型和嵌套logit模型的局限性在于，它们不能适应旅行者口味的不可观察的变化，并且由于无关的替代物属性的独立性，它们在替代物之间没有灵活的替代模式。考虑到这一背景，交通需求分析人员最近在许多研究中使用了混合logit模型。不幸的是，文献中对显性偏好（RP）和陈述性偏好（SP）数据进行联合分析的大多数研究无法同时解决上述两个限制。混合logit框架用于制定用于RP-SP联合分析的城际旅行模式选择模型，该模型包含以下行为方面的考虑：（a）响应服务水平（LOS）因素而在个体之间观察到和未观察到的异质性，（ b）跨备选方案的异方差性，以及（c）RP和SP选择上下文之间的规模差异。混合logit公式是使用采用拟随机Halton绘制的最大模拟似然法估算的。该公式用于检验韩国HoNam高铁用户对出行条件变化的出行行为响应。实证结果表明，基于观察到的和未观察到的个体特征，替代方案之间存在显着的异方差性，而对LOS属性的响应则具有显着的异质性。当引入异质性和异方差性时，数据拟合统计将有所改进。这些结果突出表明，需要在城市间出行方式选择建模的背景下纳入异质性和异方差性，以协助决策。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号