{"title":"A MILP model to improve the robustness of a railway timetable by retiming and rerouting in a complex bottleneck area","authors":"Inneke Van Hoeck, Pieter Vansteenwegen","doi":"10.1016/j.jrtpm.2024.100488","DOIUrl":"10.1016/j.jrtpm.2024.100488","url":null,"abstract":"<div><div>Robustness is a crucial concept in railway timetabling. It is often related to the ability of a timetable to absorb small delays. We propose a MILP model to improve the robustness of an existing microscopic timetable in a complex and heavily used part of the network. The objective is to maximise the buffer times between each pair of trains, leading to a good spreading in time of the trains. Focusing on this objective will lead to less propagation of delays and therefore shorter and more reliable travel times for the passengers. The model can adapt both the timing and the routing of the trains. However, to ensure that the proposed timetable is practically relevant for the railway companies, constraints can be added easily depending on the properties that the resulting timetable should have. Due to the flexibility of the proposed model, it can also be used to analyse and optimise alternative scenarios. The model is applied to a case study of a bottleneck area of the Belgian railway network, located just outside of Brussels, where the traffic is very heterogeneous. The results show that the spreading objective can be improved with 18% compared to the current situation.</div></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"32 ","pages":"Article 100488"},"PeriodicalIF":2.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659441","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}
Ying Wang , Xiaoyong He , Thomas Breugem , Dennis Huisman
{"title":"A decomposition approach to solve the individual railway crew Re-planning problem","authors":"Ying Wang , Xiaoyong He , Thomas Breugem , Dennis Huisman","doi":"10.1016/j.jrtpm.2024.100487","DOIUrl":"10.1016/j.jrtpm.2024.100487","url":null,"abstract":"<div><div>Crew re-planning is an important and difficult task in railway crew management. In this paper, we establish a path-based model solving the Individual Crew Re-planning Problem (ICRP). The individual indicates that we focus the problem on specific (non-anonymous) crew members, considering their roles (leader and cabin crew) and qualifications. This problem is inspired by the crew planning problem faced in Chinese high-speed railway operations. To generate feasible paths, we construct a multi-layer time-space connection network and develop a heuristic algorithm. To decrease the complexity and scale of the model, we decompose the ICRP into two sub-problems (for leaders and for cabin crew members respectively) which can be solved in sequence. In addition, we develop a Lagrangian relaxation (LR) algorithm to get valid paths quickly for both sub-problems. We combine the LR algorithm with solving the restricted decomposed models to get a good quality solution for the studied ICRP problem. We test our methods on several real-world instances from Chinese high-speed railways. The computational experiments show that our LR algorithm with a decomposition strategy can solve the decomposed models in a relatively short computation time compared to solving the original model directly, while obtaining (near-)optimal solutions for all instances.</div></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"32 ","pages":"Article 100487"},"PeriodicalIF":2.6,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659440","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}
{"title":"A Bi-objective model and a branch-and-price-and-cut solution method for the railroad blocking problem in hazardous material transportation","authors":"Masoud Yaghini , Hosna Pooladi , Mohammad Karimi","doi":"10.1016/j.jrtpm.2024.100486","DOIUrl":"10.1016/j.jrtpm.2024.100486","url":null,"abstract":"<div><div>One of the most important railway transportation problems is the railroad blocking problem (RBP). To our knowledge, no works consider the costs and risks of hazmat transportation in the RBP literature. In this paper, a bi-objective mathematical model is proposed for the RBP considering the risk of hazmat transportation and operating costs. The objective functions are (1) minimizing the cost of delivering commodities while observing limits on the number and aggregate volume of the blocks assembled at each terminal in freight railroads, and (2) minimizing the risk of hazmat transportation in terminals and en route. The ε-constraint method and a presented branch-and-price-and-cut (B&P&C) algorithm are used to solve the proposed bi-objective model. To evaluate the model and the solution method, seventeen experimental instances based on real-world conditions are generated and solved. Modeling and solving the experimental instances and the case study revealed the proposed model's capability and the solution method's efficiency. In addition, as a case study, the proposed model and algorithm are implemented in the Iranian railway network.</div></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"32 ","pages":"Article 100486"},"PeriodicalIF":2.6,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142538772","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}
Md Sabbir Hossain Muni , Md Moshiur Rahman Khan , Niaz Mahmud Zafri , Mohammed Mojahid Hossain Chowdhury
{"title":"Relationships between service quality and customer satisfaction in rail freight transportation: A structural equation modeling approach","authors":"Md Sabbir Hossain Muni , Md Moshiur Rahman Khan , Niaz Mahmud Zafri , Mohammed Mojahid Hossain Chowdhury","doi":"10.1016/j.jrtpm.2024.100485","DOIUrl":"10.1016/j.jrtpm.2024.100485","url":null,"abstract":"<div><div>Promoting the use of rail for freight transportation can improve logistics performance and contribute to sustainable development. To increase the share of rail freight, it is crucial to understand its service quality factors as well as their relationships with customer satisfaction, which have not been studied yet. Therefore, the objective of this study was twofold: first, to construct a reliable service quality measurement instrument for understanding the service quality factors and their associated indicators; and second, to examine the direct and indirect relationships between these service quality factors and customer satisfaction. A questionnaire survey was conducted among shippers, freight forwarders, and clearance and forwarding agents (C&F) in Bangladesh, resulting in the collection of 209 samples. Analyzing the data through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), we developed a six-dimensional instrument for service quality measurement, which includes tangibility, cost of transportation, transit time, reliability, safety and security, and responsiveness. The empirical results obtained through structural equation modeling (SEM) indicated that tangibility has the highest impact on customer satisfaction, followed by cost of transportation. Additionally, transit time, reliability, and responsiveness also play significant roles in influencing customer satisfaction. The findings of the research would help the rail authorities improve the service quality of rail freight transportation and, consequently, enhance customer satisfaction levels.</div></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"32 ","pages":"Article 100485"},"PeriodicalIF":2.6,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142528486","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}
{"title":"The evaluation of competition effect on rail fares using the difference-in-difference method through symmetric and lagged spans","authors":"Evgeniia Shtele , Paolo Beria , Samuel Tolentino","doi":"10.1016/j.jrtpm.2024.100484","DOIUrl":"10.1016/j.jrtpm.2024.100484","url":null,"abstract":"<div><div>Long-distance railway markets in Europe have become more competitive since the EU liberalisation packages. Countries like Austria, Czechia, Sweden, and Italy have experienced sustained competition, providing valuable insights into how open-access competition works. Italy's non-subsidised high-speed competition is especially interesting to study. While some researchers have studied the minimum price changes before and after a newcomer enters a route, more is needed about the duration of the effect and the impact on all fare types. Our paper estimates the competition's impact by observing the price dynamics of the incumbent company (Trenitalia) for different fare types over an extended period. We examine the Turin-Milan-Venice route where the competitor (Italo) entered the market during observation. We distinguish between different fare types through detailed descriptive analyses of the incumbent company's price behaviour. Using the difference-in-difference method, we obtain estimates of the effect for different time spans and check their robustness.</div><div>Two methods are used to design difference-in-difference models: a “classical approach” that compares symmetrical intervals before and after entry and another approach based on the comparison of lagged intervals. The second method compares the specific span with the corresponding one, a year before to exclude the seasonal component. Our findings reveal significant price-reduction effects compared to the price dynamics in other market routes where competition had been introduced.</div></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"32 ","pages":"Article 100484"},"PeriodicalIF":2.6,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433557","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}
{"title":"A reinforcement learning approach to solving very-short term train rescheduling problem for a single-track rail corridor","authors":"Jin Liu, Zhiyuan Lin, Ronghui Liu","doi":"10.1016/j.jrtpm.2024.100483","DOIUrl":"10.1016/j.jrtpm.2024.100483","url":null,"abstract":"<div><div>Railway operations are regularly affected by incidents such as disturbances and disruptions, which cause temporary operational restrictions to the trains in the network. Compared to real-time disturbances and disruptions, sometimes these incidents can be known at a short notice, e.g., 24–48 h beforehand, which is known as the Very-Short-Term-Planning in British rail operations. This paper presents a novel reinforcement learning based approach for rescheduling train services for in a single-track corridor with bi-directional traffic. As an important subfield of machine learning, reinforcement learning offers an alternate strategy for tackling the NP-hard train (re)scheduling problems and shows its advantages in balancing computational efficiency and solution quality. We propose a Q-learning approach with a tiered rewarding strategy and lightweight train representation in state vectors, which enables more efficient learning and knowledge sharing among homogeneous trains. Compared with an existing reinforcement learning approach, our proposed method can find better quality solutions due to its unique representation of state vectors and a novel tiered rewarding/punishing mechanism, overcoming certain disadvantages in existing approaches. Knowledge reusability is another advantage of the proposed approach, as prior knowledge obtained from training one instance can significantly enhance the performance of another, potentially more challenging, instance on the same corridor with substantially reduced computational time and effort on algorithm development. We also discuss the potential applications of the knowledge reusability feature inherent in reinforcement learning algorithms, which we believe will benefit the entire industry in addressing NP-hard problems through data-driven technologies.</div></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"32 ","pages":"Article 100483"},"PeriodicalIF":2.6,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319384","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}
{"title":"Shippers/freight forwarders’ acceptance of dedicated rail freight corridors for freight mobility in India","authors":"Sowjanya Dhulipala , Gopal R. Patil","doi":"10.1016/j.jrtpm.2024.100481","DOIUrl":"10.1016/j.jrtpm.2024.100481","url":null,"abstract":"<div><p>This paper investigates the acceptance of a mega rail freight infrastructure as a sustainable alternative to road transport for domestic freight movements in India. The dedicated rail freight corridors (DFCs) are the freight-only rail corridors proposed by the Indian government to improve freight mobility from a sustainable outlook. A shipper/freight forwarder survey was conducted to gather information on mode attributes and their stated preferences toward DFCs. We employ discrete choice (binary logit) and machine learning algorithms (random forest and extreme gradient boosting) to analyse the choice behaviour. The machine learning methods exhibited higher prediction accuracy, while discrete choice models offered better interpretability. On-time performance and transport costs are crucial factors that influence mode choice. Large-scale companies are more willing to shift to DFCs compared to small and medium firms. The policy scenario analysis indicates that providing a better on-time performance can gain a substantial share of DFCs.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"32 ","pages":"Article 100481"},"PeriodicalIF":2.6,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142229043","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}
Junfang Li , Haixiao Pan , Weiwei Liu , Yingxue Chen
{"title":"Exploring the relationship between the determinants and the ridership decrease of urban rail transit station during the COVID-19 pandemic incorporating spatial heterogeneity","authors":"Junfang Li , Haixiao Pan , Weiwei Liu , Yingxue Chen","doi":"10.1016/j.jrtpm.2024.100482","DOIUrl":"10.1016/j.jrtpm.2024.100482","url":null,"abstract":"<div><p>The study explores the relationship between the determinants and the ridership decrease incorporating spatial heterogeneity. ARIMA model is utilized to estimate the normal ridership assumed absence of COVID-19. Geography weighted regression (GWR) with Gaussian kernel function is constructed for regression. The K-means algorithm is applied to cluster the stations based on coefficients. Stations of Tokyo case are clustered into 2 groups: city area and western ward which represents mainly suburban areas. City stations are mainly influenced by the number of transfer lines, distance to the CBD, number of jobs and residents. In the western ward, the level of importance that residents place on public health primarily influences the ridership decrease. The implementation of work-from-home policies makes number of jobs a positive impactor on the decrease in ridership, with a greater impact observed on urban stations compared to suburban stations. City residents tend to engage in more travel than suburban residents because of less spacious living environments, which partially offsets the decrease in ridership. The findings offer parameters for predicting ridership of both city and suburban stations during public health emergency events, such as COVID-19. They can assist URT operators in developing strategies for balancing passenger demand and operational costs.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"32 ","pages":"Article 100482"},"PeriodicalIF":2.6,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232874","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}
Michael Luciano Chaves Franz , Néstor Fabián Ayala , Ana Margarita Larranaga
{"title":"Industry 4.0 for passenger railway companies: A maturity model proposal for technology management","authors":"Michael Luciano Chaves Franz , Néstor Fabián Ayala , Ana Margarita Larranaga","doi":"10.1016/j.jrtpm.2024.100480","DOIUrl":"10.1016/j.jrtpm.2024.100480","url":null,"abstract":"<div><p>The railway sector is a relevant segment for the transportation of people and goods, and its efficiency and sustainability are crucial for fostering economic development and minimizing environmental impact. This research proposes an Industry 4.0 maturity model for passenger railway companies to manage emerging technologies, aiming to enhance them holistically to leverage the internal and external business dimensions. An exploratory and qualitative approach was employed, involving semi-structured interviews with experts in Brazilian railway transport. Based on the opportunities and Key Performance Indicators identified within the sector, we developed an Industry 4.0 maturity model for companies and subsequently tested it in collaboration with a transport operator. The findings suggest that the proposed Industry 4.0 maturity model can effectively guide practitioners in applying advanced technologies for robust and efficient train operations, prescriptive maintenance, strong supply chain management, and improved passenger experience and worker performance. This research provides a noteworthy and substantial contribution by introducing unprecedented frameworks that offer a holistic view of Industry 4.0 in the context of passenger railways. The study's practical impact is aiding passenger railway companies to navigate their Industry 4.0 journey. Academically, the research contributes to advancing the holistic understanding of Industry 4.0 as an ongoing phenomenon, enriching the academic discourse by discussing published works and presenting empirical data from railway companies.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"32 ","pages":"Article 100480"},"PeriodicalIF":2.6,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142167727","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}
{"title":"Freight train scheduling for industrial lines with multiple railway undertakings","authors":"Daniel Haalboom, Nikola Bešinović","doi":"10.1016/j.jrtpm.2024.100466","DOIUrl":"10.1016/j.jrtpm.2024.100466","url":null,"abstract":"<div><p>With the liberalisation of the rail freight market, the number of railway undertakings in operation is increasing. Trains run by several railway undertakings (RUs) converge at industrial lines leading up to terminals. Here, uncoordinated interaction between mainline RUs and limited infrastructure capacity leads to bottlenecks, which reduces resource utilisation of railway undertakings. Outsourcing last-mile operations to an independent local railway undertaking can improve capacity utilisation and decrease the time engines of mainline engines spend within the considered network. In this paper, we propose the Industrial Line Scheduling Problem with multiple RU, a resource scheduling model for freight trains at industrial lines. The aim is to minimise unproductive time of mainline engines and the number of deployed local engines. The results show that the potential savings per employed local engine are highly dependent the timetables of inbound and outbound trains within the network, the dwell time of railcars and on the degree of local railway undertaking involvement.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"31 ","pages":"Article 100466"},"PeriodicalIF":2.6,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2210970624000362/pdfft?md5=14b53e1cc0d147477856cd303586bf3a&pid=1-s2.0-S2210970624000362-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142020879","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}