Pub Date : 2023-11-15DOI: 10.1080/03081060.2023.2279711
Lucy Budd, Mohammad Mehdi Kambari, Stephen Ison
In 2021, the international air transport industry committed itself to achieving net zero emissions by 2050. Although much attention has focused on addressing in-flight emissions, strategies for dec...
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Pub Date : 2023-11-12DOI: 10.1080/03081060.2023.2282059
Md Ashraful Imran, Kate Hyun
ABSTRACTDespite the rapid growth of online shopping during COVID-19, a significant number of consumers still prefer in-store shopping. This study leverages two years (i.e. pre-pandemic and pandemic) of smartphone location data to develop machine learning (ML) models, specifically Random Forest (RF) and Extreme Gradient Boosting (XGBoost), for predicting community (e.g. block group (BG)) level in-store shopping trips for department stores, shopping malls, supermarkets, and wholesale stores. This study identifies that temperature, accessibility to stores, and the number of online shopping last-mile delivery are the three most important factors influencing shopping trips; specifically, the extent of online shopping is a critical determinant for supermarkets and wholesale store trip-makings before and during the pandemic. The models developed and important determinants of shopping trips will provide useful insight for shopping trip demand forecasting as well as impact assessments of relevant policies on in-store shopping demand during emergencies.KEYWORDS: COVID-19shopping tripse-commercemachine learningshopping facilities AcknowledgementsThis project was funded by the TranSET (21ITSUTA03), a U.S. DOT University Transportation Center.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by Tran-SET – Transportation Consortium of South-Central States [grant number 21ITSUTA03].
摘要尽管2019冠状病毒病疫情期间网络购物快速增长,但仍有相当一部分消费者更喜欢实体店购物。本研究利用两年(即流行病前和流行病前)的智能手机位置数据来开发机器学习(ML)模型,特别是随机森林(RF)和极端梯度增强(XGBoost),用于预测百货商店、购物中心、超市和批发商店的社区(例如街区组(BG))水平的店内购物之行。该研究发现,温度、商店的可达性和网上购物的最后一英里配送数量是影响购物之旅的三个最重要的因素;具体而言,网上购物的程度是大流行之前和期间超市和批发商店出行的关键决定因素。所建立的模型和购物行程的重要决定因素将为紧急情况下的购物行程需求预测以及相关政策对店内购物需求的影响评估提供有用的见解。本项目由TranSET (21ITSUTA03)资助,该TranSET是美国交通部大学交通中心。披露声明作者未报告潜在的利益冲突。本研究得到了中南部各州trans - set - Transportation Consortium的支持[拨款号21ITSUTA03]。
{"title":"In-store shopping trip predictions and impact factors during COVID-19 emergencies","authors":"Md Ashraful Imran, Kate Hyun","doi":"10.1080/03081060.2023.2282059","DOIUrl":"https://doi.org/10.1080/03081060.2023.2282059","url":null,"abstract":"ABSTRACTDespite the rapid growth of online shopping during COVID-19, a significant number of consumers still prefer in-store shopping. This study leverages two years (i.e. pre-pandemic and pandemic) of smartphone location data to develop machine learning (ML) models, specifically Random Forest (RF) and Extreme Gradient Boosting (XGBoost), for predicting community (e.g. block group (BG)) level in-store shopping trips for department stores, shopping malls, supermarkets, and wholesale stores. This study identifies that temperature, accessibility to stores, and the number of online shopping last-mile delivery are the three most important factors influencing shopping trips; specifically, the extent of online shopping is a critical determinant for supermarkets and wholesale store trip-makings before and during the pandemic. The models developed and important determinants of shopping trips will provide useful insight for shopping trip demand forecasting as well as impact assessments of relevant policies on in-store shopping demand during emergencies.KEYWORDS: COVID-19shopping tripse-commercemachine learningshopping facilities AcknowledgementsThis project was funded by the TranSET (21ITSUTA03), a U.S. DOT University Transportation Center.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by Tran-SET – Transportation Consortium of South-Central States [grant number 21ITSUTA03].","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"29 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135037428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ABSTRACTTravelling using sustainable modes, such as active transport and public transport, improves students’ well-being and mental health, and bolsters sustainability. This study aims to investigate factors that encourage students to use sustainable modes which are public transport and active transport. The random parameters (mixed) logit was employed using the Victorian Integrated Survey of Travel and Activity (VISTA) data from Victoria, Australia to comprehensively explore trip attributes, socio-demographics, and built environment factors impacts on school travel mode choice. The inadequacy of model validation in previous research was addressed with the inclusion of the model accuracy test, which arguably is as equally important as behavioural inference. The result showed that travel distance and destination to primary school were the biggest contributors to mode choice probability, negatively affecting sustainable mode choice. The model produced an excellent overall accuracy (85.80%). This research elaborated on the inference of factors affecting mode choice and thus provided recommendations to help develop policies supporting sustainable transportation plans to improve students’ well-being.KEYWORDS: Sustainable mode choiceactive transportpublic transportVictorian integrated survey of travel and activitymixed logitmodel validation Disclosure statementNo potential conflict of interest was reported by the author(s).
{"title":"An exploratory analysis of factors that encourage students to choose sustainable modes in travelling to schools: evidence from Victoria, Australia","authors":"Fadhlullah Apriandy, Sugiarto Sugiarto, Yusria Darma, Renni Anggraini, Juliana Fisaini, Irsan Bahrumy","doi":"10.1080/03081060.2023.2280210","DOIUrl":"https://doi.org/10.1080/03081060.2023.2280210","url":null,"abstract":"ABSTRACTTravelling using sustainable modes, such as active transport and public transport, improves students’ well-being and mental health, and bolsters sustainability. This study aims to investigate factors that encourage students to use sustainable modes which are public transport and active transport. The random parameters (mixed) logit was employed using the Victorian Integrated Survey of Travel and Activity (VISTA) data from Victoria, Australia to comprehensively explore trip attributes, socio-demographics, and built environment factors impacts on school travel mode choice. The inadequacy of model validation in previous research was addressed with the inclusion of the model accuracy test, which arguably is as equally important as behavioural inference. The result showed that travel distance and destination to primary school were the biggest contributors to mode choice probability, negatively affecting sustainable mode choice. The model produced an excellent overall accuracy (85.80%). This research elaborated on the inference of factors affecting mode choice and thus provided recommendations to help develop policies supporting sustainable transportation plans to improve students’ well-being.KEYWORDS: Sustainable mode choiceactive transportpublic transportVictorian integrated survey of travel and activitymixed logitmodel validation Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":" 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135290609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-08DOI: 10.1080/03081060.2023.2279301
Stephen Thomas Homer, Elizaveta Berezina, Sabine-Salima Chaouche, Colin Mathew Hugues D. Gill
ABSTRACTThe region of Southeast Asia is home to some of the most congested cities. In Malaysia the densely populated area of Kuala Lumpur and its surrounding Klang Valley face the congestion and pollution problems common to cities across Southeast Asia. This study uses the bottom-up approach of concept mapping to explore potential solutions to the transportation problems associated with rapid urbanisation. A sample of young adult Malaysian participants brainstormed ideas and generated 91 proposals for action, which they grouped into the six clusters of Legislation, Infrastructure, Public Transport, Culture & Practices, Education, and Policies. Each proposal was rated for Importance, Feasibility, and Improvement to Traffic Congestion. The study yielded a series of priorities for action by policy-makers including extending existing transport routes to close the ‘last mile gap’, providing safe facilities for non-motorised forms of transport, fair enforcement of existing regulations, and appointing properly qualified professionals to improve infrastructure.KEYWORDS: Youthtransportbottom-upconcept mappingSoutheast Asia Disclosure statementNo potential conflict of interest was reported by the author(s).Ethics statementWe hereby declare that this manuscript is the result of our independent creation and the work has been cleared by Sunway University Research Ethics Committee. Except for any quoted contents or where referenced, this manuscript does not contain any research achievements that been published or written by other individuals or groups.Data availability statementThe data are available on request, subject to all normal ethical safeguards.Additional informationFundingThe work was supported by grant number: STR-FCRI-GEN-001-2022 from the Future Cities Research Institute, a partnership between Sunway University and Lancaster University.
{"title":"Co-designing urban transport solutions with Southeast Asian young adults","authors":"Stephen Thomas Homer, Elizaveta Berezina, Sabine-Salima Chaouche, Colin Mathew Hugues D. Gill","doi":"10.1080/03081060.2023.2279301","DOIUrl":"https://doi.org/10.1080/03081060.2023.2279301","url":null,"abstract":"ABSTRACTThe region of Southeast Asia is home to some of the most congested cities. In Malaysia the densely populated area of Kuala Lumpur and its surrounding Klang Valley face the congestion and pollution problems common to cities across Southeast Asia. This study uses the bottom-up approach of concept mapping to explore potential solutions to the transportation problems associated with rapid urbanisation. A sample of young adult Malaysian participants brainstormed ideas and generated 91 proposals for action, which they grouped into the six clusters of Legislation, Infrastructure, Public Transport, Culture & Practices, Education, and Policies. Each proposal was rated for Importance, Feasibility, and Improvement to Traffic Congestion. The study yielded a series of priorities for action by policy-makers including extending existing transport routes to close the ‘last mile gap’, providing safe facilities for non-motorised forms of transport, fair enforcement of existing regulations, and appointing properly qualified professionals to improve infrastructure.KEYWORDS: Youthtransportbottom-upconcept mappingSoutheast Asia Disclosure statementNo potential conflict of interest was reported by the author(s).Ethics statementWe hereby declare that this manuscript is the result of our independent creation and the work has been cleared by Sunway University Research Ethics Committee. Except for any quoted contents or where referenced, this manuscript does not contain any research achievements that been published or written by other individuals or groups.Data availability statementThe data are available on request, subject to all normal ethical safeguards.Additional informationFundingThe work was supported by grant number: STR-FCRI-GEN-001-2022 from the Future Cities Research Institute, a partnership between Sunway University and Lancaster University.","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135390874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-11DOI: 10.1080/03081060.2023.2265362
S. de Luca, F. Storani, F. Bruno, R. Di Pace
ABSTRACTThe destiny of the electric vehicle (EV) marketplace will depend upon the behaviour of potential buyers and on how emerging markets allow EVs to be perceived as a mobility solution to the externalities generated by internal combustion (IC) vehicles. To this end it is important to ascertain the role played by psychological factors, along with instrumental attributes, especially among younger adults (future purchasers) in not yet mature markets. Our paper analyses and models the propensity to purchase an EV with respect to an equivalent IC vehicle. It contributes to the existing literature investigating younger adults’ behaviour in an emerging market, focusing on the role of attitudes and perceptions. A stated preferences survey, built on real commercial scenarios (Renault ZOE vs Renault Clio), was designed and disseminated at the University of Cordoba (Argentina). Respondent behaviour was modelled within the random utility paradigm. First, heterogeneity among users was investigated through mixed multinomial logit formulation; The role of psycho-attitudinal factors was then explored through the specification of hybrid choice models with latent variables. Estimation results indicate the significant role of attitudes and perceptions in emerging markets.KEYWORDS: Hybrid Discrete Choice Modellinglatent variablesattitudesperceptionselectric vehiclesemerging markets AcknowledgementsThis study was carried out within the MOST – Sustainable Mobility National Research Center and received funding from the European Union Next-GenerationEU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR) – MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4 – D.D. 1033 17/06/2022, CN00000023). This manuscript reflects only the authors’ views and opinions, neither the European Union nor the European Commission can be considered responsible for them. This research was also partially supported by the University of Salerno, under local grants no. ORSA171328 – 2019.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 The monthly cost of the conventional car is calculated considering the price of the car in eight years and the fuel cost to undertake urban trips for a daily travelled distance of around 40 km. Therefore, the estimated monthly cost is €200.2 It is important to recall that we are dealing with students who are undertaking the choice of purchasing an electric vehicle in a not yet infrastructured market.3 The minimum sample size was preliminarily defined in accordance with the literature (Louviere, Hensher, and Swait Citation2000; Hensher, Shore, and Train Citation2005) by using following analytical expression: n≥qpa2[ϕ−1(1+α2)]2where p is the true proportion, q = 1 – p; α is the level of confidence (0.95); a is the accuracy (10%); and is the inverse cumulative normal distribution function.4 Cronbach’s alpha is a conservative measure of reliability. In contrast, composite reliability tends to overestimate the internal consistency reliabili
电动汽车(EV)市场的命运将取决于潜在买家的行为,以及新兴市场如何允许电动汽车被视为内燃机(IC)汽车产生的外部性的移动解决方案。为此,重要的是要确定心理因素所起的作用,以及工具属性,特别是在尚未成熟市场的年轻人(未来的购买者)中。我们的论文分析并建立了购买电动汽车的倾向与同等IC汽车的模型。它有助于研究新兴市场中年轻人行为的现有文献,重点关注态度和观念的作用。阿根廷科尔多瓦大学(University of Cordoba)设计并发布了一项基于真实商业场景(雷诺ZOE vs雷诺Clio)的陈述偏好调查。受访者的行为是在随机效用范式内建模的。首先,通过混合多项逻辑公式考察用户间的异质性;通过建立具有潜在变量的混合选择模型,探讨了心理态度因素的作用。估计结果表明,态度和观念在新兴市场中起着重要作用。关键词:混合动力离散选择模型潜在变量态度感知电动汽车新兴市场致谢本研究由MOST可持续移动国家研究中心开展,并获得欧盟下一代欧盟(PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR) - mission one 4 COMPONENTE 2, INVESTIMENTO 1.4 - d.d 103317/06/2022, CN00000023)的资助。本手稿仅反映作者的观点和意见,欧盟和欧盟委员会都不能对他们负责。这项研究也得到了萨勒诺大学的部分支持,在当地的拨款编号。Orsa171328 - 2019。披露声明作者未报告潜在的利益冲突。注1传统汽车的每月成本是根据该车八年内的价格及每日约40公里市区行程的燃油成本计算。因此,估计每月的成本为€200.2重要的是要记住,我们正在处理的是在尚未建立基础设施的市场中选择购买电动汽车的学生最小样本量根据文献(Louviere, Hensher, and Swait Citation2000;Hensher, Shore, and Train Citation2005),使用以下解析表达式:n≥qpa2[φ−1(1+α2)]2,其中p为真实比例,q = 1 - p;α为置信水平(0.95);A为准确率(10%);为逆累积正态分布函数Cronbach 's alpha是一种保守的可靠性度量。而复合信度则倾向于高估内部一致性信度。因此,根据Hair et al. (Citation2017),真正的信度通常介于Cronbach’s alpha(代表下界)和复合信度(代表上界)之间只有对每个构念的信度和效度有贡献的陈述才会被报告与其他属性不同,每月成本属性是唯一连续的属性直接弹性确定为:E=Δpp⋅xΔxwhere Δp是由于成本变化而选择“购买”备选方案的概率变化,p是选择“购买”备选方案的概率变化,x是电动汽车和电动汽车之间的a Δ_Cost,假设为零,Δx是10到100%之间的成本变化。
{"title":"Adoption of electric vehicles by young adults in an emerging market: a case study from Argentina","authors":"S. de Luca, F. Storani, F. Bruno, R. Di Pace","doi":"10.1080/03081060.2023.2265362","DOIUrl":"https://doi.org/10.1080/03081060.2023.2265362","url":null,"abstract":"ABSTRACTThe destiny of the electric vehicle (EV) marketplace will depend upon the behaviour of potential buyers and on how emerging markets allow EVs to be perceived as a mobility solution to the externalities generated by internal combustion (IC) vehicles. To this end it is important to ascertain the role played by psychological factors, along with instrumental attributes, especially among younger adults (future purchasers) in not yet mature markets. Our paper analyses and models the propensity to purchase an EV with respect to an equivalent IC vehicle. It contributes to the existing literature investigating younger adults’ behaviour in an emerging market, focusing on the role of attitudes and perceptions. A stated preferences survey, built on real commercial scenarios (Renault ZOE vs Renault Clio), was designed and disseminated at the University of Cordoba (Argentina). Respondent behaviour was modelled within the random utility paradigm. First, heterogeneity among users was investigated through mixed multinomial logit formulation; The role of psycho-attitudinal factors was then explored through the specification of hybrid choice models with latent variables. Estimation results indicate the significant role of attitudes and perceptions in emerging markets.KEYWORDS: Hybrid Discrete Choice Modellinglatent variablesattitudesperceptionselectric vehiclesemerging markets AcknowledgementsThis study was carried out within the MOST – Sustainable Mobility National Research Center and received funding from the European Union Next-GenerationEU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR) – MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4 – D.D. 1033 17/06/2022, CN00000023). This manuscript reflects only the authors’ views and opinions, neither the European Union nor the European Commission can be considered responsible for them. This research was also partially supported by the University of Salerno, under local grants no. ORSA171328 – 2019.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 The monthly cost of the conventional car is calculated considering the price of the car in eight years and the fuel cost to undertake urban trips for a daily travelled distance of around 40 km. Therefore, the estimated monthly cost is €200.2 It is important to recall that we are dealing with students who are undertaking the choice of purchasing an electric vehicle in a not yet infrastructured market.3 The minimum sample size was preliminarily defined in accordance with the literature (Louviere, Hensher, and Swait Citation2000; Hensher, Shore, and Train Citation2005) by using following analytical expression: n≥qpa2[ϕ−1(1+α2)]2where p is the true proportion, q = 1 – p; α is the level of confidence (0.95); a is the accuracy (10%); and is the inverse cumulative normal distribution function.4 Cronbach’s alpha is a conservative measure of reliability. In contrast, composite reliability tends to overestimate the internal consistency reliabili","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136210212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-11DOI: 10.1080/03081060.2023.2268601
Si Liu, Elkafi Hassini
{"title":"Freight last mile delivery: a literature review","authors":"Si Liu, Elkafi Hassini","doi":"10.1080/03081060.2023.2268601","DOIUrl":"https://doi.org/10.1080/03081060.2023.2268601","url":null,"abstract":"","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136211669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-05DOI: 10.1080/03081060.2023.2265910
Ashwin Narayana, Chandra Balijepalli
Alternative intersection designs can provide cost-effective solutions to overcome the proven inadequacy of conventional approaches. Several studies have assessed the performance of alternative designs against a range of traffic volumes and geometric design aspects, each in isolation, but a model which can factor in multiple variables into the analysis is the identified research gap. The displaced left-turn – DLT intersection design was found to be the most versatile, efficient, and transferable to locations elsewhere in the world. In this paper, a displaced right-turn intersection – a variant of DLT, was modelled for a range of traffic flows and design conditions. Regression models were developed for Practical Reserve Capacity and Delay as dependent variables with traffic flow, proportion of right-turning traffic, signal cycle time and length of displaced turn as explanatory variables. These models can provide relatively quick preliminary estimates of the performance indicators before committing to resource-consuming junction remodelling works.
{"title":"Models for quick evaluation of displaced right turn intersection performance","authors":"Ashwin Narayana, Chandra Balijepalli","doi":"10.1080/03081060.2023.2265910","DOIUrl":"https://doi.org/10.1080/03081060.2023.2265910","url":null,"abstract":"Alternative intersection designs can provide cost-effective solutions to overcome the proven inadequacy of conventional approaches. Several studies have assessed the performance of alternative designs against a range of traffic volumes and geometric design aspects, each in isolation, but a model which can factor in multiple variables into the analysis is the identified research gap. The displaced left-turn – DLT intersection design was found to be the most versatile, efficient, and transferable to locations elsewhere in the world. In this paper, a displaced right-turn intersection – a variant of DLT, was modelled for a range of traffic flows and design conditions. Regression models were developed for Practical Reserve Capacity and Delay as dependent variables with traffic flow, proportion of right-turning traffic, signal cycle time and length of displaced turn as explanatory variables. These models can provide relatively quick preliminary estimates of the performance indicators before committing to resource-consuming junction remodelling works.","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135483409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-04DOI: 10.1080/03081060.2023.2265382
Sang Hyung Park, Sihyun Kim
This study aims to identify the non-value-adding activities during vehicle stowage operations in automobile terminals and propose a connected automated vehicle (CAV) loading system, a self-driving-car-loading system. Furthermore, the productivity of the CAV loading system is compared with the current loading system. A simulation model of an actual loading system was developed using the software FlexSim. The simulation results showed that the walking time of workers, operation time of shuttle vans, and waiting time occupied a large part of the cycle time in the current operation system. The proposed CAV loading system has eliminated these inefficiencies, and increased productivity by 26.78%. This is the first study to (1) present a self-driving-car-loading system in a simulated automobile terminal of a real-world size, and (2) propose a CAV loading system. Results provide useful insights for the integration of self-driving technology into future automobile port operations.
{"title":"Connected and automated vehicle loading system for improving operational inefficiency from human driven vehicle in roll-on/roll-off port operations","authors":"Sang Hyung Park, Sihyun Kim","doi":"10.1080/03081060.2023.2265382","DOIUrl":"https://doi.org/10.1080/03081060.2023.2265382","url":null,"abstract":"This study aims to identify the non-value-adding activities during vehicle stowage operations in automobile terminals and propose a connected automated vehicle (CAV) loading system, a self-driving-car-loading system. Furthermore, the productivity of the CAV loading system is compared with the current loading system. A simulation model of an actual loading system was developed using the software FlexSim. The simulation results showed that the walking time of workers, operation time of shuttle vans, and waiting time occupied a large part of the cycle time in the current operation system. The proposed CAV loading system has eliminated these inefficiencies, and increased productivity by 26.78%. This is the first study to (1) present a self-driving-car-loading system in a simulated automobile terminal of a real-world size, and (2) propose a CAV loading system. Results provide useful insights for the integration of self-driving technology into future automobile port operations.","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135592477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-02DOI: 10.1080/03081060.2023.2264277
Viet Pham Quoc, Thanh Le Quoc
ABSTRACTOperational efficiency is crucial in the container terminal industry to reduce costs, increase throughput, enhance customer satisfaction, optimize the supply chain, improve safety, minimize environmental impact, and ensure adaptability and resilience in a dynamic and competitive market. The article aims to estimate operational efficiency for CTOs by the Slacks-Based Measures (SBM) model when considering CO2 emissions and work accidents as undesirable outputs. In doing so, this paper adopted the cluster analysis to select homogeneous CTOs acting as Decision-making Units (DMUs). CTOs in the Cai Mep-Thi Vai port (the CMTV case) were then empirically studied to verify the validity of the suggested model. The results could have real-world applications for CTOs looking for managerial actions to boost operational efficiency and maintain high-quality growth. Additionally, the research model may provide an analytical reference for relevant port management applications. In particular, this study offers CTOs a scientific framework for evaluating the operational efficiency of CTOs located in a port.KEYWORDS: Operational efficiencySlacks-Based Measurescontainer terminalswork accidentsair emissionscontainer terminal operators AcknowledgementsThe authors would like to thank colleagues for very thoughtful reviews and critical comments, which have led to significant improvements to the early versions of the manuscript.Disclosure statementNo potential conflict of interest was reported by the author(s).
{"title":"Operational efficiency for container terminal operators with undesirable outputs: slacks-based measures","authors":"Viet Pham Quoc, Thanh Le Quoc","doi":"10.1080/03081060.2023.2264277","DOIUrl":"https://doi.org/10.1080/03081060.2023.2264277","url":null,"abstract":"ABSTRACTOperational efficiency is crucial in the container terminal industry to reduce costs, increase throughput, enhance customer satisfaction, optimize the supply chain, improve safety, minimize environmental impact, and ensure adaptability and resilience in a dynamic and competitive market. The article aims to estimate operational efficiency for CTOs by the Slacks-Based Measures (SBM) model when considering CO2 emissions and work accidents as undesirable outputs. In doing so, this paper adopted the cluster analysis to select homogeneous CTOs acting as Decision-making Units (DMUs). CTOs in the Cai Mep-Thi Vai port (the CMTV case) were then empirically studied to verify the validity of the suggested model. The results could have real-world applications for CTOs looking for managerial actions to boost operational efficiency and maintain high-quality growth. Additionally, the research model may provide an analytical reference for relevant port management applications. In particular, this study offers CTOs a scientific framework for evaluating the operational efficiency of CTOs located in a port.KEYWORDS: Operational efficiencySlacks-Based Measurescontainer terminalswork accidentsair emissionscontainer terminal operators AcknowledgementsThe authors would like to thank colleagues for very thoughtful reviews and critical comments, which have led to significant improvements to the early versions of the manuscript.Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"304 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135831096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-28DOI: 10.1080/03081060.2023.2263440
Francesca Pagliara, Massimo Aria, Armando Castelluccio, Mario Tartaglia, Luca D’Aniello
ABSTRACTThis paper proposes a methodology aimed at identifying the main factors affecting the rail sector in the new normal scenario, referring to the post-pandemic era, where the transportation system has experienced significant changes. Indeed, a survey was designed, and a questionnaire was submitted to a sample of employees of Ferrovie dello Stato Italiane (Italian State Railway company). Then, a ranking of these factors was identified through the estimation of a Structural Equation Model (SEM). Results showed that the areas of Energy and Environment, Lifestyle, and Economy will positively affect the future of rail in the new normal scenario. This study offers insights into the dynamics of the rail sector's adaptation to post-pandemic conditions. By highlighting the factors that play a crucial role in shaping the future of rail transportation, this research suggests innovative strategies and policy initiatives to foster sustainable growth and resilience in the sector.KEYWORDS: Rail transportenergy and environmentlifestyleeconomystructural equation modelsItalian rail network Disclosure statementNo potential conflict of interest was reported by the author(s).
摘要本文提出了一种方法,旨在确定新常态下影响铁路部门的主要因素,参考大流行后时代,交通系统经历了重大变化。的确,设计了一项调查,并向意大利国家铁路公司(Ferrovie dello Stato Italiane)的雇员样本提交了一份问卷。然后,通过结构方程模型(SEM)的估计,确定了这些因素的排名。结果表明,在新常态情景下,能源与环境、生活方式和经济领域将对铁路的未来产生积极影响。这项研究提供了对铁路部门适应大流行后条件的动态的见解。通过强调在塑造铁路运输未来中发挥关键作用的因素,本研究提出了创新战略和政策举措,以促进该行业的可持续增长和弹性。关键词:铁路运输、能源与环境、生活方式、经济、结构方程模型、意大利铁路网披露声明作者未报告潜在的利益冲突。
{"title":"Planning the future of rail in the post-COVID era","authors":"Francesca Pagliara, Massimo Aria, Armando Castelluccio, Mario Tartaglia, Luca D’Aniello","doi":"10.1080/03081060.2023.2263440","DOIUrl":"https://doi.org/10.1080/03081060.2023.2263440","url":null,"abstract":"ABSTRACTThis paper proposes a methodology aimed at identifying the main factors affecting the rail sector in the new normal scenario, referring to the post-pandemic era, where the transportation system has experienced significant changes. Indeed, a survey was designed, and a questionnaire was submitted to a sample of employees of Ferrovie dello Stato Italiane (Italian State Railway company). Then, a ranking of these factors was identified through the estimation of a Structural Equation Model (SEM). Results showed that the areas of Energy and Environment, Lifestyle, and Economy will positively affect the future of rail in the new normal scenario. This study offers insights into the dynamics of the rail sector's adaptation to post-pandemic conditions. By highlighting the factors that play a crucial role in shaping the future of rail transportation, this research suggests innovative strategies and policy initiatives to foster sustainable growth and resilience in the sector.KEYWORDS: Rail transportenergy and environmentlifestyleeconomystructural equation modelsItalian rail network Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135344152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}