Transportation Research Interdisciplinary Perspectives最新文献

{"title":"Railway capacity utilization and service quality of freight trains with increased top speed in mixed traffic","authors":"Mohammad Al-Mousa,&nbsp;Hans Sipilä,&nbsp;Oskar Fröidh","doi":"10.1016/j.trip.2024.101242","DOIUrl":"10.1016/j.trip.2024.101242","url":null,"abstract":"<div><div>This paper attempts to provide a better understanding of the service quality risks that are associated with freight train operations in mixed traffic. Adequate operational quality requires a certain level of robustness to delays and disruptions, but on segments with confined capacity, robustness becomes more fragile with increased traffic demand and speed heterogeneity. This trade-off between capacity utilization and service robustness predominantly manifests itself by compromising the reliability of rail freight services for two main reasons. Firstly, passenger trains are often prioritized in dispatching over freight trains. Secondly, many freight trains operate over longer distances and they accumulate more delays. Decreasing speed heterogeneity in mixed traffic may become pivotal in the interplay between robustness and capacity utilization. In this paper, we investigate possible improvements in capacity utilization and in railway service quality when introducing faster freight trains in mixed-traffic operations. The analysis is carried out on the Swedish Southern Main Line, which forms part of the Scandinavian–Mediterranean freight corridor. Microscopic simulation is used to explore performance indicators, such as simulated running times with respect to scheduled running times, capacity utilization, and punctuality, by implementing and comparing scenarios with different maximum speeds for freight trains. The results suggest that increasing the top speed of freight trains might seem as a promising approach for reduced utilization of capacity in the planning stage, but the stochasticity of operations in mixed traffic may become more challenging for delay recovery.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434049","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":"Extracting dashcam telemetry data for predicting energy use of electric vehicles","authors":"George W.M. Hind ,&nbsp;Erica E.F. Ballantyne ,&nbsp;Tudor Stincescu ,&nbsp;Rui Zhao ,&nbsp;David A. Stone","doi":"10.1016/j.trip.2024.101189","DOIUrl":"10.1016/j.trip.2024.101189","url":null,"abstract":"<div><p>Prior to the acquisition of an electric vehicle, pre-evaluation of vehicle energy use is desirable to assess whether the intrinsic vehicle electrical storage capability is satisfactory. However, inconsistency in general vehicle modelling may provide unreliable predictions concerning energy usage. To increase the prediction reliability, the use of route-specific driving cycle data is essential.</p><p>This paper presents a case study of a novel method of extracting vehicle telemetry data from archived dashcam videos without the need to deploy conventional telemetry techniques. Utilising dashcam videos as input, and employing image processing and recognition technology, textual en-route driving data embedded in the video can be extracted. This data can then, in-turn, be used to model the performance of the vehicle, or an electric equivalent in terms of energy use and emissions. Results from preliminary testing with real-life dashcam videos, demonstrate negligible errors with regards to energy requirements and pollutants emitted from an EV operating on the modelled routes. Consequently, the proposed solution opens up the possibility to gather a significant amount of new data in order to better assess the transport sector’s energy requirements. This is especially important for situations where conventional telemetry is difficult to obtain. In addition, results from vehicle fleet modelling may inform policy decisions with regard to the impact of introducing low emission zones.</p></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590198224001751/pdfft?md5=449bd3d887ec5f1a72f03e59dda7780a&pid=1-s2.0-S2590198224001751-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142098638","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":"Clarifying new urban mobility services based on a threefold business model framework","authors":"Frederik M. Metzger,&nbsp;Konstantin Krauss","doi":"10.1016/j.trip.2024.101207","DOIUrl":"10.1016/j.trip.2024.101207","url":null,"abstract":"<div><p>Market entrants have brought a variety of new urban mobility services over the past years, which are rooted in the sharing economy and have their origin in digitalization. Digital data serve as key resource of a business model and, accordingly, digital technologies are the basis of key activities. Building our analysis on the resource-based view and on the business model debate, we ask: what degrees of digitalization do urban mobility service business models exhibit? We perform a systematic literature review and a qualitative content analysis. As a result, we identify a continuum of highly and lowly digitalized business models. We derive a threefold business model framework, substantiated in conventional mobility, hybrid, and data-driven business models. (1) Conventional mobility business models are dominated by mobility as a key resource, digitalization is low and performed by key partners, (2) hybrid models contain both conventional mobility and data-driven key resources, and (3) data-driven models take digital data as key resources, while conventional mobility is carried out by key partners. As a first main contribution, we conceptualize conventional versus purely data-driven business models along the continuum of data-driven business model components. New urban mobility services are the group of both hybrid and data-driven business models, while conventional urban mobility stands on its own. As a second contribution, we clarify the Mobility-as-a-Service (MaaS) concept by corroborating it as a purely data-driven business model with key partners provisioning mobility.</p></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590198224001933/pdfft?md5=16549938c4ba8b67e8da5d4ec99209c5&pid=1-s2.0-S2590198224001933-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142098782","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 quantum game decision-making analysis of parking sharing behavior considering fairness preferences","authors":"Qingqi Wei,&nbsp;Guomei Xiao","doi":"10.1016/j.trip.2024.101210","DOIUrl":"10.1016/j.trip.2024.101210","url":null,"abstract":"<div><div>Parking constraints are particularly acute in the urban city center, but the many negative impacts of sharing private parking make owners living in central areas reluctant to share private parking. Hence, we employ the quantum game to analyze the interactions among heterogeneous parking providers. This study explores quantum non-entanglement and entanglement strategies in the context of parking sharing and investigates the impact of heterogeneous and fairness preferences on gaming strategies. The findings indicate that in the absence of quantum entanglement, achieving a Pareto optimal strategy in which both parties share private parking is challenging. However, at the maximum quantum entanglement, the cost incurred by the unwilling side must be borne individually, whereas adopting mutual-sharing quantum strategy leads to a win–win situation. Furthermore, owners’ fairness preferences significantly motivate parties with higher sharing revenues. When the disparity in revenues is too high, leading to distinctly unfair aversion to the side with lower sharing revenues, owners’ willingness to engage in sharing is reduced.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357081","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":"Optimizing location of solid waste transshipment station in Rayong, Thailand","authors":"Sakaradhorn Boontaveeyuwat","doi":"10.1016/j.trip.2024.101226","DOIUrl":"10.1016/j.trip.2024.101226","url":null,"abstract":"<div><div>Rayong is a model province for solid waste management in Thailand, with the Center of Integrated Solid Waste Management (CISWM) situated in Muang district handling around 1,000 t per day. The large amount of solid waste comes from the 62 local government organizations (LGOs) in Rayong, with 36 of these directly dispatching their solid waste to CISWM, while for the remaining 26 LGOs, the solid waste is first transshipped via a solid waste transshipment station in Klang district before being dispatched to CISWM, due to the long distance otherwise involved. The amount of solid waste is expected to increase in the future and the Rayong Provincial Administrative Organization (RPAO) wishes to decrease the associated transport costs. Therefore, this paper optimized the location of a solid waste transshipment station for the RPAO by forecasting the number of loads of solid waste from the 62 LGOs for the next 30 years. An integer programming model was developed to minimize the total system costs, combined with comparative economic analysis. Based on the results, Pluak Daeng district was the optimal location to establish a new solid waste transshipment station. Furthermore, it was worthwhile for the RPAO to invest in this additional solid waste transshipment station.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590198224002124/pdfft?md5=325d4805b92f8c7c6d274bac6c1c3655&pid=1-s2.0-S2590198224002124-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142310962","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":"Creation of a novel microburst alarm for Air Traffic Control using a signal design framework","authors":"Anna Clebone Ruskin ,&nbsp;Lee Moore ,&nbsp;Karl Kaufmann ,&nbsp;Ben Willems ,&nbsp;Keith J. Ruskin","doi":"10.1016/j.trip.2024.101239","DOIUrl":"10.1016/j.trip.2024.101239","url":null,"abstract":"<div><div>In this study, we used a previously validated alarm design framework to design and test a new microburst alarm for air traffic controllers.</div></div><div><h3>Methods</h3><div>Two air traffic controllers participated in a detailed structured interview, describing aspects of the current alarm that worked well and identifying features that should be changed. They then chose the properties most important to the design of this specific alarm. This information was used to develop a prototype microburst alarm while making iterative changes. A short interview asking about those properties was then conducted with sixty-two controllers at a national conference.</div></div><div><h3>Results</h3><div>We developed an effective microburst alarm using the Signal Design Framework. Informativeness, Distinguishability, Saliency, Disruptiveness, Exclusivity, and Recognizability were improved by adding an electronically accelerated verbal component (‘Microburst!’) to the beginning and midway through the alert. The tonal component, volume, and timing of the prototype alarm were similar to that of the original alarm. During the alarm testing phase, most controllers agreed that the prototype would work well in both Air Traffic Control Tower and TRACON environments. Controllers agreed that incorporating an audible ‘Microburst!’ helped to direct their attention to the source of the alarm, especially in facilities where this alarm is uncommon. Controllers also spoke favorably of the length, pitch, oscillation, and timbre of the auditory component.</div></div><div><h3>Conclusions</h3><div>We used a validated framework to develop a new alarm that would work well for controllers in their environment. The framework facilitated design, iterative testing, and large-scale evaluation.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142323564","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":"Enhancing digital road networks for better transportation in developing countries","authors":"V.F. Stienen ,&nbsp;D. den Hertog ,&nbsp;J.C. Wagenaar ,&nbsp;J.F. de Zegher","doi":"10.1016/j.trip.2024.101217","DOIUrl":"10.1016/j.trip.2024.101217","url":null,"abstract":"<div><div>Data scarcity in developing countries often poses significant challenges to the use of analytics in addressing development issues. In transportation research, digitized road data is one of the most fundamental data structures, and a poorly digitized road network significantly reduces the ability to optimize trade of micro-enterprises (SDG 8) and placement of hospitals (SDG 3). Unfortunately, current methods to enhance or create digital road networks are not well-adapted to regions with sparse geospatial data, often resulting in poor digital representations of road networks in less-developed regions such as rural areas of developing countries. We present a novel projection-based incremental insertion method that is well-suited to either enhance large existing road networks or combine multiple sources of road networks in regions with sparse geospatial data. In collaboration with PemPem and the World Bank, we perform two case studies that demonstrate the effectiveness of the proposed method. Together with PemPem, we show that our method significantly improves the digital road network for smallholder farmers in Indonesia, where only 40% of the origin–destination pairs in our dataset were previously digitized. Moreover, in a case study of optimizing geospatial accessibility to healthcare in Timor-Leste (World Bank), the improved digital road network detects an additional 5% of people to be in the vicinity of a hospital.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142428180","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":"Toward real-time deterrence against fare evasion risk in public transport","authors":"Benedetto Barabino ,&nbsp;Massimo Di Francesco ,&nbsp;Roberto Ventura ,&nbsp;Simone Zanda","doi":"10.1016/j.trip.2024.101238","DOIUrl":"10.1016/j.trip.2024.101238","url":null,"abstract":"<div><div>Fare evasion is a critical threat for Transit Agencies (TAs) and/or Public Transport Companies (PTCs) everywhere, especially in Proof-of-Payment Transit Systems (POP-TSs). The research on fare evasion risk is limited and based on econometric models restricting time characterization to a single period. This paper aims to enhance the use of fare evasion risk over several periods for possible real-time deterrence against fare evasion. The paper moves from an existing framework, identifying the factors of fare evasion and risk exposure in terms of frequency (or probability) and severity (or vulnerability), and adopts Artificial Neural Networks (ANNs) to shed light on the intricate nexus between these components, estimating the fare evasion risk for every (segment of a) route. Next, the risk index is evaluated for each time period of interest. The predictions are ranked and represented by time-dependent dashboards to recognize routes with high-risk evasion that require deterrence strategies. Some real-time strategies are simulated from fare inspection logs, passenger surveys, and probability distributions on data collected in three years. In conclusion, this research provides actionable insights for TAs/PTCs in dealing with fare compliance and can be integrated into any bus transit management system.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142428181","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 behavioral economic perspective on demand responsive transportation","authors":"Aljoscha Minnich ,&nbsp;Heiko Herbst ,&nbsp;Stephan Herminghaus ,&nbsp;Thomas Kneib ,&nbsp;Benjamin Wacker ,&nbsp;Jan Christian Schlüter","doi":"10.1016/j.trip.2024.101176","DOIUrl":"10.1016/j.trip.2024.101176","url":null,"abstract":"<div><p>In this article, a utility function framework is developed, serving to determine the demand for an upcoming demand responsive transportation system. A linear’public-good game’ (PGG) model is modified in a way that maximizing the consumer surplus is assumed to determine individual decision-making. This modification allows for considering the endowment effect in the function, which is expected to enable for a more precise distinction among customer segments. The purpose of this approach is to create a possibility for including descriptive behavioral economic findings in a normative modeling concept. It shall serve as a theoretical basis for coming empirical investigations.</p></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590198224001623/pdfft?md5=90aff69faf1d21ef9410667c98355ec1&pid=1-s2.0-S2590198224001623-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142157990","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":"Towards development of a roadway flood severity index","authors":"Curtis L. Walker,&nbsp;Amanda Siems-Anderson,&nbsp;Erin Towler,&nbsp;Aubrey Dugger,&nbsp;Andrew Gaydos,&nbsp;Gerry Wiener","doi":"10.1016/j.trip.2024.101218","DOIUrl":"10.1016/j.trip.2024.101218","url":null,"abstract":"<div><p>Flooding is among the costliest and deadliest weather disasters. Moreover, different types of flooding have significant impacts on the transportation network and infrastructure including flash, riverine, urban, coastal, and storm surge. The variety of flooding scenarios makes it challenging to quantify the impacts of flooding on transportation across spatial scales; however, such metrics would be beneficial both prior to and after the event. Pre-flood metrics can promote enhanced impact-based decision-support guidance and hazard communication, while post-flood metrics may include larger regional disruptions located away from the most inundated areas and their associated secondary societal impacts. This study developed a retrospective Roadway Flood-Severity Index (RFSI) from 1982 to 2020 capable of integrating geo-located hydrometeorological data and transportation mobility information across localized and multi-state, sub-national regions to (1) categorize larger-scale, flood-related transportation disruptions, (2) understand the origins of those disruptions, and (3) identify severity risk levels of individual road segments and broader regions of transportation disruption during flood events. The fundamental question is, as flooding events unfold, can past hydrometeorological inundation information be coupled with transportation system network and mobility data to identify the most vulnerable roadway segments and regions? The overall mobility impacts of flooding on transportation were highly variable and relatively uncommon throughout the study period. Given this variability in other mobility data (e.g., vehicle speeds), hydrometeorological parameters were used exclusively as model inputs and crowdsourced Waze flood reports were used as the target response variable. A logistic regression based RFSI was found to best align with the dataset providing a “no flood” or “flood” classification. Eventually, this retrospective analysis will be extended to provide predictive capability as well. The RFSI is intended to provide transportation agencies with a quantitative metric to classify, categorize, and communicate the potential impacts of flood events throughout the transportation network.</p></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590198224002045/pdfft?md5=f94ec1e7f70aa968489d4706de7a4f1b&pid=1-s2.0-S2590198224002045-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232403","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}