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Journal of the Eastern Asia Society for Transportation Studies最新文献

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Measuring User Satisfaction of Pedestrian Facilities and its Heterogeneity in Urban India – A Tale of Three Cities 印度城市步行设施用户满意度的测量及其异质性——三个城市的故事
Pub Date : 2019-12-31 DOI: 10.11175/EASTS.13.144
Eeshan Bhaduri, Manoj Bs, J. Sen, B. Maitra, A. Goswami
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引用次数: 5
Estimating Air-passengers’ Value of Travel Time Using Individual Mobile Phone Data 利用个人手机数据估算航空旅客的旅行时间价值
Pub Date : 2019-12-31 DOI: 10.7470/jkst.2019.37.6.458
Youngeun Choi, Yang, Bomyi
The value of travel time, the marginal monetary value you are willing to pay to save a unit of travel time, is commonly used in analysis of passenger behaviors and (pre)feasibility studies in transportation planning. It is also a critical factor in (pre)feasibility studies in airport planning as it is used to estimate benefits of time savings of a new project, the purpose of which is to reduce aircraft delays, relieve terminal congestion and improve ground access time. However, due to the limitations of data and lack of related studies, air-passengers’ value of travel time currently used is calculated by multiplying certain ratio to the surface transport passengers’ value of travel time. In this paper, the value of air-passengers’ travel time is estimated by using individual mobile phone data of people who traveled through Gimpo International airport. With mixed-logit, we revealed the travel time and the travel cost have significant effects on air-passengers’ access mode choice and the effect differs by gender, day of the week, and travel distance. The estimated average value of travel time of air-passengers is 21,874KRW/hr per person, which is 1.3-1.5 times higher value than the value of travel time generally used in (pre)feasibility studies in South Korea and also higher than the typical passenger car’s travel time value in the Seoul metropolitan area.
旅行时间的价值,即你愿意为节省单位旅行时间而支付的边际货币价值,通常用于分析乘客行为和交通规划中的(预)可行性研究。它也是机场规划(预)可行性研究的关键因素,因为它用于估计新项目节省时间的效益,目的是减少飞机延误,缓解候机楼拥挤和改善地面通行时间。然而,由于数据的限制和相关研究的缺乏,目前使用的航空旅客的旅行时间值是用地面运输旅客的旅行时间值乘以一定的比例来计算的。本文利用金浦国际机场旅客的个人手机数据,估算航空旅客旅行时间的价值。通过混合logit分析,我们发现出行时间和出行成本对航空旅客出行方式选择有显著影响,且影响因性别、出行天数和出行距离而异。据推测,航空乘客的平均旅行时间为人均2万1874韩元/小时,比国内一般可行性研究中使用的旅行时间值高1.3 ~ 1.5倍,也比首都圈普通客车的旅行时间值高。
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引用次数: 0
Twitter to Transport: Geo-Spatial Sentiment Analysis of Traffic Tweets to Discover People’s Feelings for Urban Transportation Issues Twitter to Transport:交通推文的地理空间情感分析,发现人们对城市交通问题的感受
Pub Date : 2019-12-31 DOI: 10.11175/EASTS.13.210
Narayan Chaturvedi, Durga Toshniwal, M. Parida
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引用次数: 5
Impact of International and Domestic Flights to/from Japanese Local Airports on Overnight Stays of Foreign Visitors in Japan: An Analysis 往返日本当地机场的国际和国内航班对外国游客在日本过夜住宿的影响分析
Pub Date : 2019-12-31 DOI: 10.11175/EASTS.13.298
Yoshikazu Kuki, Tetsuo Shimizu
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引用次数: 0
The Application of Gradient Boost Machine and Local Interpretable Modelagnostic Explanations in Examining the Travel Multi-mode Choice, the Case Study of Jakarta City, Indonesia 梯度提升机和局部可解释模型不可知解释在考察出行多模式选择中的应用——以印度尼西亚雅加达市为例
Pub Date : 2019-12-31 DOI: 10.11175/EASTS.13.503
Tran Vinh Ha, T. Asada, M. Arimura
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引用次数: 1
Development of an Activity-based Model System for Tokyo Metropolitan Urban Rail Plannning 基于活动的东京都市轨道交通规划模型系统的开发
Pub Date : 2019-12-31 DOI: 10.11175/EASTS.13.643
S. Yamada, Masato Ishibe, Y. Yamashita, D. Fukuda
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引用次数: 1
How Does Improving Rural Roads Motivate People to Own Travel Modes? Findings from Rural Cambodia 改善农村道路如何激励人们拥有自己的出行方式?来自柬埔寨农村的调查结果
Pub Date : 2019-12-31 DOI: 10.11175/EASTS.13.102
Rika Idei, H. Kato
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引用次数: 1
Crash Severity Analysis Through Nonparametric Machine Learning Methods 基于非参数机器学习方法的碰撞严重性分析
Pub Date : 2019-12-31 DOI: 10.11175/EASTS.13.2614
Vaibhav Agrawal, Sudipa Chatterjee, Sudeshna Mitra
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引用次数: 3
Data Quality Analysis of Interregional Travel Demand by Extracting Travel Patterns through A Matrix Decomposition Method 基于矩阵分解法提取出行模式的区域间出行需求数据质量分析
Pub Date : 2019-12-31 DOI: 10.11175/EASTS.13.606
Canh Xuan Do, Makoto Tsukai, A. Fujiwara
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引用次数: 0
Identification of Transportation Mode and Transit Behaviour from Mobile CDRs Data: A Case of Yangon City 从移动cdr数据中识别交通方式和过境行为:以仰光市为例
Pub Date : 2019-12-31 DOI: 10.11175/EASTS.13.841
Kyaing, K. Lwin, Y. Sekimoto
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引用次数: 0
期刊
Journal of the Eastern Asia Society for Transportation Studies
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