Estimation of Transfer Time Distribution Parameters with Automatic Fare Collection Data: Stochastic Frontier Model
Estimation of Transfer Time Distribution Parameters with Automatic Fare Collection Data: Stochastic Frontier Model
复制标题
利用自动售检票数据估计换乘时间分布参数：随机前沿模型
DOI：
10.1061/jtepbs.0000536
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
T.
中科院分区：
文献类型：
--
作者：
Wahaballa;A.M.;Kurauchi;F.;Schmocker;J.-D. and Iwamoto;T.
在交通站点步行和等待换乘时间的不确定性取决于环境条件、车辆调度正点性和个体差异。仅依靠平均值忽略了这种不确定性，导致传递协调不当。本文给出了在已知分布函数的假设下，基于自动收费数据估计步行和等待时间分布参数的一般框架。提出的方法通过提供一个适用于过境分配模型的随机前沿模型（SFM），对现有文献做出了贡献。基于极大似然法，利用正态/指数SFM估计分布参数。该方法应用于来自日本的智能卡数据，以估计公交车站和火车站之间的换乘步行和等待时间分布。结果表明，对步行时间的观测数据干扰较小，我们对步行时间估计的假设是可靠的。此外，我们量化了巴士站的等待时间如何取决于服务进展的变化。预计这些发现将有助于做出更明智的决策，以优化运输时间表。
The uncertainty in walking and waiting transfer times at transit stops depends on the environmental conditions, vehicle schedule punctuality, and variations among individuals. Relying only on the mean values ignores such uncertainty and leads to improper transfer coordination. This paper provides a general framework to estimate the time distribution parameters of walking and waiting based on automatic-fare-collection data under the assumption that the distribution function is known. The proposed methodology contributes to the existing literature by providing a stochastic frontier model (SFM) that is adaptable to transit assignment models. The normal/exponential SFM is utilized to estimate distribution parameters based on the maximum-likelihood method. The methodology was applied to smart-card data from Japan to estimate the transfer walking- and waiting-time distributions between bus stops and rail stations. The results indicate a low disturbance in the observed data for walking time and that our assumptions regarding walking-time estimation were reliable. Furthermore, we quantified how the waiting time at a bus stop depends on variations in the service headway. These findings are expected to help in making more informed decisions to optimize transit schedules.
影响因子：
4.3
作者：
Kusakabe, Takahiko;Iryo, Takamasa;Asakura, Yasuo
通讯作者：
Asakura, Yasuo
影响因子：
1.7
作者：
A. Wahaballa;F. Kurauchi;Toshiyuki Yamamoto;Jan-Dirk Schmöcker
通讯作者：
A. Wahaballa;F. Kurauchi;Toshiyuki Yamamoto;Jan-Dirk Schmöcker
公共交通运行控制中定时换乘协调的换乘需求预测
影响因子：
2.3
作者：
L. Kieu;A. Bhaskar;P. E. M. Almeida;Nasser R. Sabar;E. Chung
通讯作者：
E. Chung