Pub Date : 2024-11-24DOI: 10.1016/j.tranpol.2024.11.014
Yuchao Xu , Yahua Zhang , Xin Deng , Seung-Yong Lee , Kun Wang , Linbo Li
Sustainable aviation fuel (SAF) is a key contributor to the aviation sector's efforts to achieve net-zero targets. This article presents a bibliometric analysis and literature review of 243 SAF-related publications from social science and quantitative disciplines, covering the period from 2014 to 2024. It highlights the latest research trends on the economic analysis of technological pathways, feedstocks, and policy interventions. Although SAF usage in commercial aviation is below 0.1% as of 2024, its decarbonisation potential could exceed 68%, particularly for medium- and long-haul flights. While biomass-based SAF faces constraints due to feedstock availability, the power-to-liquid pathway may offer a long-term solution. Five key themes have been identified in the literature: (1) sustainable certification of pathways and feedstocks, (2) economic simulations of alternative solutions, (3) economic feasibility of pathways and feedstocks, (4) supply chain dynamics and involvement of multiple stakeholders, and (5) policy interventions. Future studies could focus on economic simulations of airline competition under different SAF quotas, case studies on supply chain stakeholders, and the inclusion of grey literature for discussion. This research underscores the importance of international collaboration to create a level playing field for SAF adoption.
{"title":"Bibliometric analysis and literature review on sustainable aviation fuel (SAF): Economic and management perspective","authors":"Yuchao Xu , Yahua Zhang , Xin Deng , Seung-Yong Lee , Kun Wang , Linbo Li","doi":"10.1016/j.tranpol.2024.11.014","DOIUrl":"10.1016/j.tranpol.2024.11.014","url":null,"abstract":"<div><div>Sustainable aviation fuel (SAF) is a key contributor to the aviation sector's efforts to achieve net-zero targets. This article presents a bibliometric analysis and literature review of 243 SAF-related publications from social science and quantitative disciplines, covering the period from 2014 to 2024. It highlights the latest research trends on the economic analysis of technological pathways, feedstocks, and policy interventions. Although SAF usage in commercial aviation is below 0.1% as of 2024, its decarbonisation potential could exceed 68%, particularly for medium- and long-haul flights. While biomass-based SAF faces constraints due to feedstock availability, the power-to-liquid pathway may offer a long-term solution. Five key themes have been identified in the literature: (1) sustainable certification of pathways and feedstocks, (2) economic simulations of alternative solutions, (3) economic feasibility of pathways and feedstocks, (4) supply chain dynamics and involvement of multiple stakeholders, and (5) policy interventions. Future studies could focus on economic simulations of airline competition under different SAF quotas, case studies on supply chain stakeholders, and the inclusion of grey literature for discussion. This research underscores the importance of international collaboration to create a level playing field for SAF adoption.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"162 ","pages":"Pages 296-312"},"PeriodicalIF":6.3,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-24DOI: 10.1016/j.tranpol.2024.11.019
Shah Khalid Khan , Nirajan Shiwakoti , Peter Stasinopoulos , Yilun Chen , Matthew Warren
Connected and Automated Vehicles (CAVs) cybersecurity is an inherently complex, multi-dimensional issue that goes beyond isolated hardware or software vulnerabilities, extending to human threats, network vulnerabilities, and broader system-level risks. Currently, no formal, comprehensive tool exists that integrates these diverse dimensions into a unified framework for CAV cybersecurity assessment. This study addresses this challenge by developing a System Dynamics (SD) model for strategic cybersecurity assessment that considers technological challenges, human threats, and public cybersecurity awareness during the CAV rollout. Specifically, the model incorporates a novel SD-based Stock-and-Flow Model (SFM) that maps six key parameters influencing cyberattacks at the system level. These parameters include CAV communication safety, user adoption rates, log file management, hacker capabilities, understanding of hacker motivations (criminology theory maturity), and public awareness of CAV cybersecurity.
The SFM's structure and behaviour were rigorously tested and then used to analyse five plausible scenarios: i) Baseline (Technological Focus Only), ii) Understanding Hacker Motivations, iii) CAV User and OEM Education, iv) CAV Penetration Rate Increase, and v) CAV Penetration Rate Increase with Human behaviour Analysis. Four metrics are used to benchmark CAV cybersecurity: communication safety, probability of hacking attempts, probability of successful defence, and number of CAV adopters. The results indicate that while baseline technological advancements strengthen communication framework robustness, they may also create new vulnerabilities that hackers could exploit. Conversely, a deeper understanding of hacker motivations (Criminology Theory Maturity) effectively reduces hacking attempts. It fosters a more secure environment for early CAV adopters. Additionally, educating CAV users and OEM increases the probability of defending against cyberattacks. While CAV penetration increases the likelihood of hack defence due to a corresponding rise in attempts, there is a noticeable decrease in hacking attempts with CAV penetration when analysing human behaviour. These findings, when translated into policy instruments, can pave the way for a more optimised and resilient cyber-safe ITS.
{"title":"Cybersecurity framework for connected and automated vehicles: A modelling perspective","authors":"Shah Khalid Khan , Nirajan Shiwakoti , Peter Stasinopoulos , Yilun Chen , Matthew Warren","doi":"10.1016/j.tranpol.2024.11.019","DOIUrl":"10.1016/j.tranpol.2024.11.019","url":null,"abstract":"<div><div>Connected and Automated Vehicles (CAVs) cybersecurity is an inherently complex, multi-dimensional issue that goes beyond isolated hardware or software vulnerabilities, extending to human threats, network vulnerabilities, and broader system-level risks. Currently, no formal, comprehensive tool exists that integrates these diverse dimensions into a unified framework for CAV cybersecurity assessment. This study addresses this challenge by developing a System Dynamics (SD) model for strategic cybersecurity assessment that considers technological challenges, human threats, and public cybersecurity awareness during the CAV rollout. Specifically, the model incorporates a novel SD-based Stock-and-Flow Model (SFM) that maps six key parameters influencing cyberattacks at the system level. These parameters include CAV communication safety, user adoption rates, log file management, hacker capabilities, understanding of hacker motivations (criminology theory maturity), and public awareness of CAV cybersecurity.</div><div>The SFM's structure and behaviour were rigorously tested and then used to analyse five plausible scenarios: i) Baseline (Technological Focus Only), ii) Understanding Hacker Motivations, iii) CAV User and OEM Education, iv) CAV Penetration Rate Increase, and v) CAV Penetration Rate Increase with Human behaviour Analysis. Four metrics are used to benchmark CAV cybersecurity: communication safety, probability of hacking attempts, probability of successful defence, and number of CAV adopters. The results indicate that while baseline technological advancements strengthen communication framework robustness, they may also create new vulnerabilities that hackers could exploit. Conversely, a deeper understanding of hacker motivations (Criminology Theory Maturity) effectively reduces hacking attempts. It fosters a more secure environment for early CAV adopters. Additionally, educating CAV users and OEM increases the probability of defending against cyberattacks. While CAV penetration increases the likelihood of hack defence due to a corresponding rise in attempts, there is a noticeable decrease in hacking attempts with CAV penetration when analysing human behaviour. These findings, when translated into policy instruments, can pave the way for a more optimised and resilient cyber-safe ITS.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"162 ","pages":"Pages 47-64"},"PeriodicalIF":6.3,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-22DOI: 10.1016/j.tranpol.2024.11.013
Guangming Xu , Yiling Gong , Linhuan Zhong , Dan Zhu , Xinyi Liu , Lianbo Deng
High-speed railways (HSR) and airlines can complement each other in long-distance journeys served by connecting flights through a hub. To encourage airline-HSR cooperation and promote intermodal transport services, we examine two capacity agreements under the capacity limitations of HSR and/or airlines and their effects on ticket pricing, passenger volume, travel time, frequency, consumer surplus, social welfare, and profitability. In a capacity sell agreement, HSR sells its capacity to airline (HSA), and airline provides the bundling service. In a capacity purchase agreement, HSR purchases airline capacity (HPA) and offers the bundled service. We first analytically compare two capacity agreements with no-cooperation cases, and find that the joint ticket price under the HSA agreement offers a price advantage over individual ticket purchases in non-cooperation scenarios only when HSR is capacity-constrained. Although the HPA agreement also exhibits a similar joint price advantage as the HSA agreement, it requires the stringent condition that both transport modes have limited capacities. Regarding consumer surplus, it tends to increase under the HSA agreement when both transport modes have capacity limitations or both do not have capacity limitations. However, the increasing trend can be relaxed to different capacity limitation conditions under the HPA agreement. We then directly compare the HSA and HPA agreements through simulations. The results indicate that the HSA agreement yields higher consumer surplus and profits than the HPA agreement, while the HPA agreement achieves greater social welfare.
{"title":"To purchase or to sell: Capacity agreement in high-speed railway and airline cooperation","authors":"Guangming Xu , Yiling Gong , Linhuan Zhong , Dan Zhu , Xinyi Liu , Lianbo Deng","doi":"10.1016/j.tranpol.2024.11.013","DOIUrl":"10.1016/j.tranpol.2024.11.013","url":null,"abstract":"<div><div>High-speed railways (HSR) and airlines can complement each other in long-distance journeys served by connecting flights through a hub. To encourage airline-HSR cooperation and promote intermodal transport services, we examine two capacity agreements under the capacity limitations of HSR and/or airlines and their effects on ticket pricing, passenger volume, travel time, frequency, consumer surplus, social welfare, and profitability. In a capacity sell agreement, HSR sells its capacity to airline (HSA), and airline provides the bundling service. In a capacity purchase agreement, HSR purchases airline capacity (HPA) and offers the bundled service. We first analytically compare two capacity agreements with no-cooperation cases, and find that the joint ticket price under the HSA agreement offers a price advantage over individual ticket purchases in non-cooperation scenarios only when HSR is capacity-constrained. Although the HPA agreement also exhibits a similar joint price advantage as the HSA agreement, it requires the stringent condition that both transport modes have limited capacities. Regarding consumer surplus, it tends to increase under the HSA agreement when both transport modes have capacity limitations or both do not have capacity limitations. However, the increasing trend can be relaxed to different capacity limitation conditions under the HPA agreement. We then directly compare the HSA and HPA agreements through simulations. The results indicate that the HSA agreement yields higher consumer surplus and profits than the HPA agreement, while the HPA agreement achieves greater social welfare.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"162 ","pages":"Pages 84-105"},"PeriodicalIF":6.3,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-11-21DOI: 10.1016/j.tranpol.2024.11.017
Wenqian Zou , Zhanshuo Zhang , Shengguo Gao , Lei Wang , Yonglei Jiang
This study analyzes the impact of the temporary flight subsidy policy on the operational performance of China's domestic air transport market. Using panel data from 42 days between May 7 and June 17, 2022, and applying a dynamic panel model with time-invariant variables, the study explores the factors influencing average load factor and average ticket price under short-term basic air service conditions. The results reveal that, during the pandemic, load factors exhibited weak dependence on historical data, with airlines adjusting to real-time demand fluctuations. Additionally, the flight subsidy policy failed to meet its intended goals, leading to a reduction in overall load factors, particularly for China Southern, China Eastern, and Hainan Airlines, while Air China demonstrated more flexibility in adapting to the policy. The study also identifies the significant influence of route distance and airport size on both load factors and ticket prices, with longer routes and major hub airports commanding higher prices. These findings suggest that future subsidy policies should be more flexible and tailored to specific market conditions to effectively support the recovery and long-term sustainability of the aviation industry.
{"title":"Drivers of short-term essential air service operations: Load factor, pricing, and subsidy policies in China's domestic air market","authors":"Wenqian Zou , Zhanshuo Zhang , Shengguo Gao , Lei Wang , Yonglei Jiang","doi":"10.1016/j.tranpol.2024.11.017","DOIUrl":"10.1016/j.tranpol.2024.11.017","url":null,"abstract":"<div><div>This study analyzes the impact of the temporary flight subsidy policy on the operational performance of China's domestic air transport market. Using panel data from 42 days between May 7 and June 17, 2022, and applying a dynamic panel model with time-invariant variables, the study explores the factors influencing average load factor and average ticket price under short-term basic air service conditions. The results reveal that, during the pandemic, load factors exhibited weak dependence on historical data, with airlines adjusting to real-time demand fluctuations. Additionally, the flight subsidy policy failed to meet its intended goals, leading to a reduction in overall load factors, particularly for China Southern, China Eastern, and Hainan Airlines, while Air China demonstrated more flexibility in adapting to the policy. The study also identifies the significant influence of route distance and airport size on both load factors and ticket prices, with longer routes and major hub airports commanding higher prices. These findings suggest that future subsidy policies should be more flexible and tailored to specific market conditions to effectively support the recovery and long-term sustainability of the aviation industry.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"161 ","pages":"Pages 44-58"},"PeriodicalIF":6.3,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Methanol dual-fuel (DF) liners can simultaneously use traditional fuel oil and methanol as blended fuels, which can address environmental protection requirements while ensuring economy. This paper presents an optimization model for the speed and refueling strategy of methanol DF liners. A decision-making tool is introduced for shipping companies to develop liner operation plans. A mixed-integer 0–1 planning model is constructed with the objective of minimizing the operating cost of a single voyage of a methanol DF liner, and the optimal solutions for the voyage speed in each segment and the fuel oil and methanol refueling strategy at each port are computed considering the dual-fuel mixing of fuel oil and methanol. In this paper, the validity of the model and algorithm are verified with the AEU3 route of COSCO Shipping as an example, and the results show that installing a scrubber on liners and mixing heavy fuel oil (HFO) and methanol is more economical than mixing very low-sulfur fuel oil (VLSFO) and methanol, considering the existing emission standards. The studied liner should increase its speed in emission control areas (ECAs) and refuel at ports with low prices for fuel oil and methanol. Although the above conclusions are not influenced by changes in the price of methanol, the price difference between HFO and VLSFO, or the carbon allowance price, changes in sulfur emission standards will have a significant effect on the speed and refueling strategy of liners and carbon emissions. This paper provides a theoretical reference for operational decision-making for shipping companies operating methanol DF liners and is of practical value for improving the scientific management of methanol DF liners, enhancing the energy efficiency of ships, and reducing the emission of pollutants from ships.
{"title":"A model for speed and fuel refueling strategy of methanol dual-fuel liners with emission control areas","authors":"Tianhang Gao, Jia Tian, Changjian Liu, Chuan Huang, Hongyu Wu, Ziwen Yuan","doi":"10.1016/j.tranpol.2024.11.015","DOIUrl":"10.1016/j.tranpol.2024.11.015","url":null,"abstract":"<div><div>Methanol dual-fuel (DF) liners can simultaneously use traditional fuel oil and methanol as blended fuels, which can address environmental protection requirements while ensuring economy. This paper presents an optimization model for the speed and refueling strategy of methanol DF liners. A decision-making tool is introduced for shipping companies to develop liner operation plans. A mixed-integer 0–1 planning model is constructed with the objective of minimizing the operating cost of a single voyage of a methanol DF liner, and the optimal solutions for the voyage speed in each segment and the fuel oil and methanol refueling strategy at each port are computed considering the dual-fuel mixing of fuel oil and methanol. In this paper, the validity of the model and algorithm are verified with the AEU3 route of COSCO Shipping as an example, and the results show that installing a scrubber on liners and mixing heavy fuel oil (HFO) and methanol is more economical than mixing very low-sulfur fuel oil (VLSFO) and methanol, considering the existing emission standards. The studied liner should increase its speed in emission control areas (ECAs) and refuel at ports with low prices for fuel oil and methanol. Although the above conclusions are not influenced by changes in the price of methanol, the price difference between HFO and VLSFO, or the carbon allowance price, changes in sulfur emission standards will have a significant effect on the speed and refueling strategy of liners and carbon emissions. This paper provides a theoretical reference for operational decision-making for shipping companies operating methanol DF liners and is of practical value for improving the scientific management of methanol DF liners, enhancing the energy efficiency of ships, and reducing the emission of pollutants from ships.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"161 ","pages":"Pages 1-16"},"PeriodicalIF":6.3,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-11-20DOI: 10.1016/j.tranpol.2024.11.016
Yudan Kong , Xinyu Tian , Jinghui Sun , Huan Zhou
The global economy's rapid expansion highlights the need for sustainable development in ports. However, existing research has overlooked the crucial aspect of social sustainability. To address this gap, this paper evaluates ports' sustainability using a novel framework that combines cross-hierarchical data envelopment analysis and cross-efficiency. Examining 18 ports in China from 2017 to 2020, we assess their internal and external sustainability dimensions. Results show that most ports demonstrate commendable efficiency in internal sustainability, though room for improvement remains. In terms of external sustainability, some ports excel economically and socially, but environmental indicators require more attention. Overall, sustainability performance shows an encouraging upward trend, with southern ports leading in sustainability practices. However, economic factors pose challenges to port development, emphasizing the need for heightened focus on environmental and social dimensions. By filling a knowledge gap and offering valuable recommendations, this study introduces a fresh perspective on sustainable port development.
{"title":"Charting sustainable vistas: Analysis of internal and external sustainability performance of Chinese ports","authors":"Yudan Kong , Xinyu Tian , Jinghui Sun , Huan Zhou","doi":"10.1016/j.tranpol.2024.11.016","DOIUrl":"10.1016/j.tranpol.2024.11.016","url":null,"abstract":"<div><div>The global economy's rapid expansion highlights the need for sustainable development in ports. However, existing research has overlooked the crucial aspect of social sustainability. To address this gap, this paper evaluates ports' sustainability using a novel framework that combines cross-hierarchical data envelopment analysis and cross-efficiency. Examining 18 ports in China from 2017 to 2020, we assess their internal and external sustainability dimensions. Results show that most ports demonstrate commendable efficiency in internal sustainability, though room for improvement remains. In terms of external sustainability, some ports excel economically and socially, but environmental indicators require more attention. Overall, sustainability performance shows an encouraging upward trend, with southern ports leading in sustainability practices. However, economic factors pose challenges to port development, emphasizing the need for heightened focus on environmental and social dimensions. By filling a knowledge gap and offering valuable recommendations, this study introduces a fresh perspective on sustainable port development.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"161 ","pages":"Pages 31-43"},"PeriodicalIF":6.3,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-11-19DOI: 10.1016/j.tranpol.2024.10.006
Yan Li , Xinxin Xia , Qingbo Huang
In the context of frequent uncertainty risks in the international environment, ports play an increasingly important role in regional export growth. This paper innovatively examines the impact of port shipping connectivity on urban exports from the perspective of microeconomic entities participating in international and domestic circulations. By employing theoretical mechanisms and econometric models, this study explores the impact, channels, moderating effects, and heterogeneity of port shipping connectivity on urban exports. The empirical analysis is based on panel data from 33 ports and 144 hinterland cities in China, covering the period from 2007 to 2021. The findings indicate that improvements in port shipping connectivity drive urban export growth. Domestic and international circulations serve as the channels. Furthermore, the impact of port shipping connectivity on urban exports varies depending on several factors, including production capacity, customs clearance costs, development periods, hinterland types, regional distribution, port ranking, and city ranking. Our research provides policy implications for both central and local governments in China. In summary, local governments, supported and guided by the central government, should promote healthy competition among ports and strengthen coordination between ports and cities.
{"title":"Port shipping connectivity as a new driver of urban exports in the context of dual circulation: Evidence from China","authors":"Yan Li , Xinxin Xia , Qingbo Huang","doi":"10.1016/j.tranpol.2024.10.006","DOIUrl":"10.1016/j.tranpol.2024.10.006","url":null,"abstract":"<div><div>In the context of frequent uncertainty risks in the international environment, ports play an increasingly important role in regional export growth. This paper innovatively examines the impact of port shipping connectivity on urban exports from the perspective of microeconomic entities participating in international and domestic circulations. By employing theoretical mechanisms and econometric models, this study explores the impact, channels, moderating effects, and heterogeneity of port shipping connectivity on urban exports. The empirical analysis is based on panel data from 33 ports and 144 hinterland cities in China, covering the period from 2007 to 2021. The findings indicate that improvements in port shipping connectivity drive urban export growth. Domestic and international circulations serve as the channels. Furthermore, the impact of port shipping connectivity on urban exports varies depending on several factors, including production capacity, customs clearance costs, development periods, hinterland types, regional distribution, port ranking, and city ranking. Our research provides policy implications for both central and local governments in China. In summary, local governments, supported and guided by the central government, should promote healthy competition among ports and strengthen coordination between ports and cities.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"163 ","pages":"Pages 73-90"},"PeriodicalIF":6.3,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-11-19DOI: 10.1016/j.tranpol.2024.11.012
Zhang Yiye , Wang Mo , Chen Yuxiu , Han Wenze
Green development is an economic development approach aimed at efficiency, harmony, and sustainability. Many countries regard the green development of civil aviation as an important economic strategy and have taken a series of measures to reduce its environmental impact. China has also released aseries of policies to promote the green development of the civil aviation industry. Herein, we focus on the implementation of the civil aviation green development policy of China using the PMC index model to evaluate the structure, characteristics, and effectiveness of the policy to make suggestions on improving the policy system. Based on the PMC index scores of the nine primary variables of the sample, the content and subject of the civil aviation green development policy formulation are relatively scientific and comprehensive. China civil aviation green development policy has more room for development in terms of policy incentives and policy functions. This study also provides suggestions for improving the efficiency ofthe policy.
{"title":"Quantitative evaluation of the civil aviation green development policy of China based on the policy modeling consistency (PMC) index model","authors":"Zhang Yiye , Wang Mo , Chen Yuxiu , Han Wenze","doi":"10.1016/j.tranpol.2024.11.012","DOIUrl":"10.1016/j.tranpol.2024.11.012","url":null,"abstract":"<div><div>Green development is an economic development approach aimed at efficiency, harmony, and sustainability. Many countries regard the green development of civil aviation as an important economic strategy and have taken a series of measures to reduce its environmental impact. China has also released aseries of policies to promote the green development of the civil aviation industry. Herein, we focus on the implementation of the civil aviation green development policy of China using the PMC index model to evaluate the structure, characteristics, and effectiveness of the policy to make suggestions on improving the policy system. Based on the PMC index scores of the nine primary variables of the sample, the content and subject of the civil aviation green development policy formulation are relatively scientific and comprehensive. China civil aviation green development policy has more room for development in terms of policy incentives and policy functions. This study also provides suggestions for improving the efficiency ofthe policy.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"162 ","pages":"Pages 171-187"},"PeriodicalIF":6.3,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-17DOI: 10.1016/j.tranpol.2024.11.011
Qi Wang , Jianing Mao , Xin Wen , Stein W. Wallace , Muhammet Deveci
Airline schedules are easily affected by disruptions, leading to flight delays or (and) cancellations, causing significant financial losses to airline companies and inconvenience for passengers. When making recovery decisions, airlines need to simultaneously consider various entities, including flights, aircraft, and crew. This paper examines the integrated recovery policies for airlines to help re-schedule flights, re-route aircraft, and reassign crew members. To realize quick responses upon the occurrence of disruptions, an attention-based end-to-end deep reinforcement learning approach is proposed to learn a parameterized stochastic policy for the integrated airline recovery problem. Numerical experiments based on randomly generated disruption instances demonstrate that the proposed method outperforms the existing approaches and is applicable in realistic situations. The key insights obtained from our analyses are summarized as follows: (1) traditionally, among all disruption sources, it is most challenging and time-consuming to determine the recovery policies in reaction to aircraft delays and airport closures. However, the new approach developed in this study overcomes this difficulty and can provide high-quality recovery policies for aircraft delays and airport closures quickly. Thus, our work is especially valuable for airports and regions that suffer from frequent flight delays and closures, and can significantly improve their operational efficiency and service quality; (2) when traditional approaches are applied, the adoption of the well-known schedule robustness enhancement strategy ‘crew follow aircraft’ generally leads to high operations costs. Differently, our proposed approach can apply this strategy without encountering a significant cost growth. Therefore, airlines can fully leverage this strategy to gain additional advantages; (3) our developed new approach demonstrates high generality to accommodate various disruptions, which can benefit airlines and airports in the highly-volatile environment with various unpredictable events.
{"title":"Flight, aircraft, and crew integrated recovery policies for airlines - A deep reinforcement learning approach","authors":"Qi Wang , Jianing Mao , Xin Wen , Stein W. Wallace , Muhammet Deveci","doi":"10.1016/j.tranpol.2024.11.011","DOIUrl":"10.1016/j.tranpol.2024.11.011","url":null,"abstract":"<div><div>Airline schedules are easily affected by disruptions, leading to flight delays or (and) cancellations, causing significant financial losses to airline companies and inconvenience for passengers. When making recovery decisions, airlines need to simultaneously consider various entities, including flights, aircraft, and crew. This paper examines the integrated recovery policies for airlines to help re-schedule flights, re-route aircraft, and reassign crew members. To realize quick responses upon the occurrence of disruptions, an attention-based end-to-end deep reinforcement learning approach is proposed to learn a parameterized stochastic policy for the integrated airline recovery problem. Numerical experiments based on randomly generated disruption instances demonstrate that the proposed method outperforms the existing approaches and is applicable in realistic situations. The key insights obtained from our analyses are summarized as follows: (1) traditionally, among all disruption sources, it is most challenging and time-consuming to determine the recovery policies in reaction to aircraft delays and airport closures. However, the new approach developed in this study overcomes this difficulty and can provide high-quality recovery policies for aircraft delays and airport closures quickly. Thus, our work is especially valuable for airports and regions that suffer from frequent flight delays and closures, and can significantly improve their operational efficiency and service quality; (2) when traditional approaches are applied, the adoption of the well-known schedule robustness enhancement strategy ‘crew follow aircraft’ generally leads to high operations costs. Differently, our proposed approach can apply this strategy without encountering a significant cost growth. Therefore, airlines can fully leverage this strategy to gain additional advantages; (3) our developed new approach demonstrates high generality to accommodate various disruptions, which can benefit airlines and airports in the highly-volatile environment with various unpredictable events.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"160 ","pages":"Pages 245-258"},"PeriodicalIF":6.3,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142705135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-11-15DOI: 10.1016/j.tranpol.2024.11.009
Lingxiao Yang , Jianfeng Zheng , Jian Wang
For the design of feeder lines within a region, previous studies assume that the hub port is given in advance. It is necessary to investigate locating hub port together with designing feeder lines for a region. This paper proposes a hub port location and routing problem for a single-hub feeder network, which addresses feeder line design and hub port location. The proposed problem also considers liner shipping network connectivity (the connection between feeder lines and main lines via container transshipment at hub ports). It is described by a mixed integer linear program, which is solved by a genetic algorithm devised. Numerical experiments show that: i) the devised algorithm can efficiently solve our model; ii) due to considering liner shipping network connectivity, the optimal solution of hub port location and feeder line design becomes more rational, as compared with that without considering liner shipping network connectivity.
{"title":"Hub port location and routing for a single-hub feeder network: Effect of liner shipping network connectivity","authors":"Lingxiao Yang , Jianfeng Zheng , Jian Wang","doi":"10.1016/j.tranpol.2024.11.009","DOIUrl":"10.1016/j.tranpol.2024.11.009","url":null,"abstract":"<div><div>For the design of feeder lines within a region, previous studies assume that the hub port is given in advance. It is necessary to investigate locating hub port together with designing feeder lines for a region. This paper proposes a hub port location and routing problem for a single-hub feeder network, which addresses feeder line design and hub port location. The proposed problem also considers liner shipping network connectivity (the connection between feeder lines and main lines via container transshipment at hub ports). It is described by a mixed integer linear program, which is solved by a genetic algorithm devised. Numerical experiments show that: i) the devised algorithm can efficiently solve our model; ii) due to considering liner shipping network connectivity, the optimal solution of hub port location and feeder line design becomes more rational, as compared with that without considering liner shipping network connectivity.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"160 ","pages":"Pages 212-227"},"PeriodicalIF":6.3,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142705132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号