Asian Transport Studies最新文献

Analysis and comparison of train accidents in Japan and the United States 日本和美国火车事故的分析与比较

IF 2.2

Asian Transport Studies Pub Date : 2026-01-01 Epub Date: 2026-01-21 DOI: 10.1016/j.eastsj.2026.100176

Chen-Yu Lin , Xinhao Liu , Yu Sakuma

引用次数: 0

Willingness to pay for electric vehicle charging: A comparative study of machine learning and ordered logit models 为电动汽车充电付费的意愿：机器学习和有序logit模型的比较研究

IF 2.2

Asian Transport Studies Pub Date : 2026-01-01 Epub Date: 2026-03-01 DOI: 10.1016/j.eastsj.2026.100179

Mahmoud Reza Nateghi, Amir Reza Mamdoohi

引用次数: 0

Prediction of expressway accident locations using contribution information from Grad-CAM 基于Grad-CAM贡献信息的高速公路事故位置预测

IF 2.2

Asian Transport Studies Pub Date : 2026-01-01 Epub Date: 2026-04-01 DOI: 10.1016/j.eastsj.2026.100185

Shinichiro Yabata , Takahiro Tsubota , Toshio Yoshii , Jian Xing

{"title":"Prediction of expressway accident locations using contribution information from Grad-CAM","authors":"Shinichiro Yabata , Takahiro Tsubota , Toshio Yoshii , Jian Xing","doi":"10.1016/j.eastsj.2026.100185","DOIUrl":"10.1016/j.eastsj.2026.100185","url":null,"abstract":"<div><div>This study proposes a method for predicting accident locations on expressways using convolutional neural networks (CNNs) and Grad-CAM-based interpretability. A CNN model is trained using vehicle trajectory images generated from ETC 2.0 probe data. Grad-CAM is applied to extract spatiotemporal contribution information associated with accident risk, enabling the identification of expressway sections where risk-prone traffic patterns are spatially concentrated for the subsequent 30-min period. Based on the spatial aggregation of these contribution scores, a framework is developed to estimate the most likely accident section within a target route. The model outputs are intended to support short-term, location-specific prioritization of safety interventions by traffic operators, rather than forecasting individual crash events. Validation on a 15.34 km section of the Tomei Expressway in Japan demonstrates that the proposed method reduces location prediction error by approximately 19% compared to a naïve prediction, and further outperforms representative tree-based ensemble methods, including Random Forest, XGBoost, and LightGBM. The method shows higher accuracy for multi-vehicle accidents and for high-traffic conditions. Furthermore, the model exhibits superior performance over a statistical baseline across various risk thresholds, indicating its robustness and practical applicability in real-world implementation scenarios where resource allocation must be prioritized. These results highlight the utility of interpretable deep learning in supporting targeted and effective traffic safety interventions.</div></div>","PeriodicalId":100131,"journal":{"name":"Asian Transport Studies","volume":"12 ","pages":"Article 100185"},"PeriodicalIF":2.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147600280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of the impact of telemedicine introduction on relocation and population structure 远程医疗引入对人口迁移和人口结构的影响分析

IF 1.9

Asian Transport Studies Pub Date : 2026-01-01 Epub Date: 2026-06-26 DOI: 10.1016/j.eastsj.2026.100195

Yuga Watanabe, Sora Hayakawa, Yurina Tsuneyoshi, Keiichi Kitazume

{"title":"Analysis of the impact of telemedicine introduction on relocation and population structure","authors":"Yuga Watanabe, Sora Hayakawa, Yurina Tsuneyoshi, Keiichi Kitazume","doi":"10.1016/j.eastsj.2026.100195","DOIUrl":"10.1016/j.eastsj.2026.100195","url":null,"abstract":"<div><div>In recent years, Japan has promoted telemedicine and online medical consultation services. As a result, healthcare access is being substituted from face-to-face services, which may influence residential location choices. However, few studies have examined this relationship. This study examines the substitutability of telemedicine from healthcare accessibility and investigates whether its introduction can suppress relocation behavior and lead to changes in population structure. A scenario-based web questionnaire survey and a microsimulation model were developed. The survey results indicate that among residents in rural areas who would be compelled to relocate due to illness-related hospital visits, 8.0% could avoid relocation after the introduction of telemedicine. Furthermore, the microsimulation results show that relocations from rural areas to other areas decrease by 30 percent points after telemedicine introduction. These findings demonstrate the effectiveness and substitutability of telemedicine and suggest that changes in healthcare access methods can influence residential location choices and support residential continuity.</div></div>","PeriodicalId":100131,"journal":{"name":"Asian Transport Studies","volume":"12 ","pages":"Article 100195"},"PeriodicalIF":1.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148553624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of a pre-evacuation planning model for large-scale volcanic disasters considering multiple evacuation modes 考虑多种疏散模式的大规模火山灾害预疏散规划模型的建立

IF 2.2

Asian Transport Studies Pub Date : 2026-01-01 Epub Date: 2026-04-04 DOI: 10.1016/j.eastsj.2026.100184

Souya Miyazaki , Hiroshi Shimamoto

引用次数: 0

Extracting ODs with arrival-time constraints from conversations in urban expressway call centers 从城市高速公路呼叫中心的对话中提取具有到达时间限制的od

IF 2.2

Asian Transport Studies Pub Date : 2026-01-01 Epub Date: 2026-06-02 DOI: 10.1016/j.eastsj.2026.100194

Yu Yamashita , Shintaro Terabe , Takayuki Mizuno , Hideki Yaginuma , Masanori Ajito

{"title":"Extracting ODs with arrival-time constraints from conversations in urban expressway call centers","authors":"Yu Yamashita , Shintaro Terabe , Takayuki Mizuno , Hideki Yaginuma , Masanori Ajito","doi":"10.1016/j.eastsj.2026.100194","DOIUrl":"10.1016/j.eastsj.2026.100194","url":null,"abstract":"<div><div>This study investigates methods for identifying travel time-related inquiries and extracting origin–destination (OD) information with arrival-time constraints from voice conversation data collected at urban expressway call centers in Japan. The dataset comprises one week of call-center conversations recorded in April 2024 (7647 calls), which were transcribed into text using automatic speech recognition. These conversations include a wide range of topics, such as travel time, congestion, road closures, and tolls, and directly reflect real-time traffic conditions and user travel intentions.</div><div>We formulated travel time inquiry identification and OD extraction as a two-stage task and conducted a comparative evaluation of four approaches: a rule-based method, support vector machine (SVM), bidirectional encoder representations from transformers (BERT), and generative pre-trained transformers (GPT). The results indicate that SVM and BERT achieve high accuracy in identifying travel time-related inquiries, whereas BERT and GPT demonstrate stable performance in OD extraction.</div><div>These findings suggest that call-center conversation data can serve as a valuable complementary data source for capturing travel demand based on user intentions under arrival-time constraints, information that is difficult to obtain from conventional traffic counts or probe data alone. By framing OD extraction as an information-extraction task that integrates named-entity recognition and relation extraction, this study demonstrates that OD information with arrival-time constraints can be extracted with reasonable accuracy even from noisy, real-world conversational data collected in operational environments.</div></div>","PeriodicalId":100131,"journal":{"name":"Asian Transport Studies","volume":"12 ","pages":"Article 100194"},"PeriodicalIF":2.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148183903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of foot-and-mouth disease quarantine planning model considering the impact of disinfection points on the actual network 考虑消毒点对实际网络影响的口蹄疫检疫规划模型的建立

IF 2.2

Asian Transport Studies Pub Date : 2026-01-01 Epub Date: 2026-03-16 DOI: 10.1016/j.eastsj.2026.100181

Shunsuke Ono , Hiroshi Shimamoto

引用次数: 0

The role of school travel on student well-being and satisfaction in region I, Philippines: A structural equation modeling approach 菲律宾第一地区学校旅行对学生幸福感和满意度的作用：结构方程建模方法

IF 2.2

Asian Transport Studies Pub Date : 2026-01-01 Epub Date: 2026-04-04 DOI: 10.1016/j.eastsj.2026.100186

Karen Joyce B. Santiago , Alexis M. Fillone

引用次数: 0

A study on safety measures at the two-lane expressway with wire rope in Japan 日本双车道钢丝绳高速公路安全措施研究