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Private electric vehicle charger installation game in old communities considering benefit uncertainty: A two-layer coupled complex network perspective
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2024-12-05 DOI: 10.1016/j.tranpol.2024.12.003
Yuanyuan Wang , Ruguo Fan , Kang Du , Jinchai Lin , Xiaoxia Xu , Wenjie Zhang , Dipti Srinivasan
The widespread adoption of electric vehicles (EVs) hinges on reliable charging infrastructure. Private chargers, as the most ideal charging option, serve as a significant motivator for EV adoption. However, property companies in old communities often obstruct their installation. To address this installation dilemma, this study combines prospect theory with an evolutionary game model and develops a two-layer complex network for property companies and vehicle owners. The specific incentive and punishment measures and the influencing factors are analyzed through simulations. The results indicate that: 1) combining incentives and punishments for property companies, including maintenance fee and subsidy incentives, as well as monetary and non-monetary punishments, effectively solves the installation dilemma; 2) controlling property management costs, security risk losses, and fines is crucial for ensuring policy effectiveness; 3) high levels of psychological factors among players negatively affect decision-making when faced with uncertain benefits. However, targeted incentives and punishments effectively moderate these effects; 4) the proportions of positive strategies adopted by both players are higher in the Watts-Strogatz small-world network than in the Barabási–Albert scale-free network. This study offers valuable insights into policy measures and key factor control in private charger installation.
{"title":"Private electric vehicle charger installation game in old communities considering benefit uncertainty: A two-layer coupled complex network perspective","authors":"Yuanyuan Wang ,&nbsp;Ruguo Fan ,&nbsp;Kang Du ,&nbsp;Jinchai Lin ,&nbsp;Xiaoxia Xu ,&nbsp;Wenjie Zhang ,&nbsp;Dipti Srinivasan","doi":"10.1016/j.tranpol.2024.12.003","DOIUrl":"10.1016/j.tranpol.2024.12.003","url":null,"abstract":"<div><div>The widespread adoption of electric vehicles (EVs) hinges on reliable charging infrastructure. Private chargers, as the most ideal charging option, serve as a significant motivator for EV adoption. However, property companies in old communities often obstruct their installation. To address this installation dilemma, this study combines prospect theory with an evolutionary game model and develops a two-layer complex network for property companies and vehicle owners. The specific incentive and punishment measures and the influencing factors are analyzed through simulations. The results indicate that: 1) combining incentives and punishments for property companies, including maintenance fee and subsidy incentives, as well as monetary and non-monetary punishments, effectively solves the installation dilemma; 2) controlling property management costs, security risk losses, and fines is crucial for ensuring policy effectiveness; 3) high levels of psychological factors among players negatively affect decision-making when faced with uncertain benefits. However, targeted incentives and punishments effectively moderate these effects; 4) the proportions of positive strategies adopted by both players are higher in the Watts-Strogatz small-world network than in the Barabási–Albert scale-free network. This study offers valuable insights into policy measures and key factor control in private charger installation.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"162 ","pages":"Pages 113-127"},"PeriodicalIF":6.3,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137104","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}
引用次数: 0
Should I buy or should I go? The effect of the big five personality traits and satisfaction with life on E-bike ownership in Germany
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2024-12-05 DOI: 10.1016/j.tranpol.2024.12.004
Stefan Poier , Anna Maria Nikodemska-Wołowik , Michał Suchanek
A prerequisite for sustainable mobility is the move away from fossil fuels. In addition to the transportation sector and public transport, the electrification of individual transport also contributes to the mobility transition. In the present study, we conducted exploratory structural equation modelling using data (n = 14,008) from a large-scale nationwide household panel in Germany to investigate the influence of the big five personality traits and satisfaction with life on the purchase of e-bikes. All big five domains except conscientiousness showed significant, albeit feeble, direct effects on satisfaction with life and indirect effects on e-bike purchases. Conscientiousness, extraversion, agreeableness, and neuroticism, as well as satisfaction with life, had direct effects on e-bike purchases. In contrast, conscientiousness and extraversion were the only big five domains that showed total effects on the outcome. However, the positive effect of satisfaction with life on e-bike ownership was modest. In contrast, owning a photovoltaic system was the strongest predictor of e-bike purchase. At the same time, individuals born in East Germany were not only more dissatisfied with their lives and less likely to buy an e-bike.
{"title":"Should I buy or should I go? The effect of the big five personality traits and satisfaction with life on E-bike ownership in Germany","authors":"Stefan Poier ,&nbsp;Anna Maria Nikodemska-Wołowik ,&nbsp;Michał Suchanek","doi":"10.1016/j.tranpol.2024.12.004","DOIUrl":"10.1016/j.tranpol.2024.12.004","url":null,"abstract":"<div><div>A prerequisite for sustainable mobility is the move away from fossil fuels. In addition to the transportation sector and public transport, the electrification of individual transport also contributes to the mobility transition. In the present study, we conducted exploratory structural equation modelling using data (n = 14,008) from a large-scale nationwide household panel in Germany to investigate the influence of the big five personality traits and satisfaction with life on the purchase of e-bikes. All big five domains except conscientiousness showed significant, albeit feeble, direct effects on satisfaction with life and indirect effects on e-bike purchases. Conscientiousness, extraversion, agreeableness, and neuroticism, as well as satisfaction with life, had direct effects on e-bike purchases. In contrast, conscientiousness and extraversion were the only big five domains that showed total effects on the outcome. However, the positive effect of satisfaction with life on e-bike ownership was modest. In contrast, owning a photovoltaic system was the strongest predictor of e-bike purchase. At the same time, individuals born in East Germany were not only more dissatisfied with their lives and less likely to buy an e-bike.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"162 ","pages":"Pages 188-199"},"PeriodicalIF":6.3,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137544","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}
引用次数: 0
Driving factors behind station-based car sharing adoption: Discovering distinct user profiles through a latent class cluster analysis
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2024-12-03 DOI: 10.1016/j.tranpol.2024.12.001
Hidde van der Linden , Gonçalo Correia , Niels van Oort , Suze Koster , Martijn Legêne , Maarten Kroesen
In light of growing environmental challenges, the need to reconsider how we approach personal transportation is becoming increasingly evident. A shift from a private car-focused mobility system towards a more sustainable and equitable transportation system is needed. Car sharing is considered a means to achieve this, however, its usage and its impact are not entirely understood, as many studies do not consider the motives of individuals to use this alternative, treating the population of users as a homogeneous group. This study aims to reveal distinct car sharing usage profiles to gain a thorough understanding of the various motivates behind car sharing and its relation with travel behaviour. Six user profiles are uncovered using a Latent Class Cluster Analysis (LCCA) based on station-based carsharing data of one company operating in the Netherlands gathered through an online survey (N = 1281). The results show significant diversity in car sharing motives. The identified user groups have different effects on travel behaviour. Environmentally motivated car sharers use the shared car as a complete replacement for their private car, causing a substantial decrease in car ownership and usage. For utilitarian car sharers, and especially formerly carless individuals, the decrease in car ownership is less substantial and even an increase in car use can be observed. Finally, it was found that car sharing is mostly complementary to public transport use. Ways to promote the use of both modes could be explored.
{"title":"Driving factors behind station-based car sharing adoption: Discovering distinct user profiles through a latent class cluster analysis","authors":"Hidde van der Linden ,&nbsp;Gonçalo Correia ,&nbsp;Niels van Oort ,&nbsp;Suze Koster ,&nbsp;Martijn Legêne ,&nbsp;Maarten Kroesen","doi":"10.1016/j.tranpol.2024.12.001","DOIUrl":"10.1016/j.tranpol.2024.12.001","url":null,"abstract":"<div><div>In light of growing environmental challenges, the need to reconsider how we approach personal transportation is becoming increasingly evident. A shift from a private car-focused mobility system towards a more sustainable and equitable transportation system is needed. Car sharing is considered a means to achieve this, however, its usage and its impact are not entirely understood, as many studies do not consider the motives of individuals to use this alternative, treating the population of users as a homogeneous group. This study aims to reveal distinct car sharing usage profiles to gain a thorough understanding of the various motivates behind car sharing and its relation with travel behaviour. Six user profiles are uncovered using a Latent Class Cluster Analysis (LCCA) based on station-based carsharing data of one company operating in the Netherlands gathered through an online survey (N = 1281). The results show significant diversity in car sharing motives. The identified user groups have different effects on travel behaviour. Environmentally motivated car sharers use the shared car as a complete replacement for their private car, causing a substantial decrease in car ownership and usage. For utilitarian car sharers, and especially formerly carless individuals, the decrease in car ownership is less substantial and even an increase in car use can be observed. Finally, it was found that car sharing is mostly complementary to public transport use. Ways to promote the use of both modes could be explored.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"162 ","pages":"Pages 232-241"},"PeriodicalIF":6.3,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137105","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}
引用次数: 0
BOT contract of high-speed rail project design considering uncertain economic spillover
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2024-11-29 DOI: 10.1016/j.tranpol.2024.11.018
Yan Liu , Zixin Ji , Kun Wang , Yushi Wang , Yibin Xiao
The rapid development of high-speed rail (HSR) has had a significant impact on economic development, but it requires substantial investment and places a burden on public funds. The COVID-19 pandemic has further strained government budgets, making alternative funding models attractive. The build-operate-transfer (BOT) model, commonly used in highway projects, involves private companies building and operating infrastructure in exchange for toll revenues. This study explores the use of flexible and fixed BOT contracts for HSR projects and analyzes their impact on private sector investment share and social welfare in HSR projects. Our analytical and numerical simulation findings suggest that under the flexible BOT contract, the private sector investment share increases with the expectation and uncertainty of the economic spillover effect. It decreases with a short HSR infrastructure lifecycle but remains unaffected by a sufficiently long lifecycle. In contrast, a fixed BOT contract raises private sector investment share regardless of the uncertainty of economic spillover. A longer HSR lifecycle amplifies the effect of economic spillover under both types of contracts. Expected social welfare rises with the HSR infrastructure's lifecycle under the fixed BOT contract, but for the flexible BOT contract, it initially increases and then exhibits a jump-down discontinuity at the threshold lifecycle of the HSR infrastructure. The flexible BOT contract outperforms the fixed BOT contract with a shorter lifecycle or higher spillover uncertainty, while the fixed BOT contract yields more welfare improvements for a longer lifecycle.
{"title":"BOT contract of high-speed rail project design considering uncertain economic spillover","authors":"Yan Liu ,&nbsp;Zixin Ji ,&nbsp;Kun Wang ,&nbsp;Yushi Wang ,&nbsp;Yibin Xiao","doi":"10.1016/j.tranpol.2024.11.018","DOIUrl":"10.1016/j.tranpol.2024.11.018","url":null,"abstract":"<div><div>The rapid development of high-speed rail (HSR) has had a significant impact on economic development, but it requires substantial investment and places a burden on public funds. The COVID-19 pandemic has further strained government budgets, making alternative funding models attractive. The build-operate-transfer (BOT) model, commonly used in highway projects, involves private companies building and operating infrastructure in exchange for toll revenues. This study explores the use of flexible and fixed BOT contracts for HSR projects and analyzes their impact on private sector investment share and social welfare in HSR projects. Our analytical and numerical simulation findings suggest that under the flexible BOT contract, the private sector investment share increases with the expectation and uncertainty of the economic spillover effect. It decreases with a short HSR infrastructure lifecycle but remains unaffected by a sufficiently long lifecycle. In contrast, a fixed BOT contract raises private sector investment share regardless of the uncertainty of economic spillover. A longer HSR lifecycle amplifies the effect of economic spillover under both types of contracts. Expected social welfare rises with the HSR infrastructure's lifecycle under the fixed BOT contract, but for the flexible BOT contract, it initially increases and then exhibits a jump-down discontinuity at the threshold lifecycle of the HSR infrastructure. The flexible BOT contract outperforms the fixed BOT contract with a shorter lifecycle or higher spillover uncertainty, while the fixed BOT contract yields more welfare improvements for a longer lifecycle.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"162 ","pages":"Pages 31-46"},"PeriodicalIF":6.3,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137006","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}
引用次数: 0
Evaluation of transport carbon efficiency, reduction potential, and influencing factors in Africa
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2024-11-29 DOI: 10.1016/j.tranpol.2024.11.021
Rockson Sai , Hongping Yuan , Ebenezer Kwabena Takyi , Hermas Abudu , Stephen Agyeman
Africa aims to promote low emission development pathways. As the second-highest CO2 emitting sector and contributing to an annual average pollution cost of 6.14% of GDP, the transport sector poses a major barrier to sustainable growth. Enhancing transport carbon emission efficiency is essential for achieving both sustainable growth and emission reduction; however, empirical insights regarding Africa remain limited. Therefore, this study employs non-parametric metafrontier technique to asses transport carbon efficiency, reduction potentials, and sources of emission reduction potentials across forty African countries from 2000 to 2020. Panel regression is employed to identify external factors influencing regional carbon efficiency. The findings reveal that transport carbon efficiency (TCE) in Africa averages 0.372, indicating low performance. Central Africa leads the continent's optimal green production technology based on the technology gap ratio, closely followed by Southern Africa. Moreover, the potential for CO2 emission reduction is estimated at 74.479 % of total TCE, averaging 5583.649 kt annually. Over two-thirds of the emission reduction potential is attributed to addressing management inefficiencies. External influencing factors on TCE exhibit regional heterogeneity. Transport value-added per capita improves TCE in all regions, while energy intensity and renewable energy diminishes it. Sulphur content in diesel, urbanization, institutional quality, business relations, structural change, and FDI have mixed effects. The findings underscore the need for targeted policies to boost carbon efficiency and align transport planning with regional priorities.
{"title":"Evaluation of transport carbon efficiency, reduction potential, and influencing factors in Africa","authors":"Rockson Sai ,&nbsp;Hongping Yuan ,&nbsp;Ebenezer Kwabena Takyi ,&nbsp;Hermas Abudu ,&nbsp;Stephen Agyeman","doi":"10.1016/j.tranpol.2024.11.021","DOIUrl":"10.1016/j.tranpol.2024.11.021","url":null,"abstract":"<div><div>Africa aims to promote low emission development pathways. As the second-highest CO<sub>2</sub> emitting sector and contributing to an annual average pollution cost of 6.14% of GDP, the transport sector poses a major barrier to sustainable growth. Enhancing transport carbon emission efficiency is essential for achieving both sustainable growth and emission reduction; however, empirical insights regarding Africa remain limited. Therefore, this study employs non-parametric metafrontier technique to asses transport carbon efficiency, reduction potentials, and sources of emission reduction potentials across forty African countries from 2000 to 2020. Panel regression is employed to identify external factors influencing regional carbon efficiency. The findings reveal that transport carbon efficiency (TCE) in Africa averages 0.372<strong>,</strong> indicating low performance. Central Africa leads the continent's optimal green production technology based on the technology gap ratio, closely followed by Southern Africa. Moreover, the potential for CO<sub>2</sub> emission reduction is estimated at 74.479 % of total TCE, averaging 5583.649 kt annually. Over two-thirds of the emission reduction potential is attributed to addressing management inefficiencies. External influencing factors on TCE exhibit regional heterogeneity. Transport value-added per capita improves TCE in all regions, while energy intensity and renewable energy diminishes it. Sulphur content in diesel, urbanization, institutional quality, business relations, structural change, and FDI have mixed effects. The findings underscore the need for targeted policies to boost carbon efficiency and align transport planning with regional priorities.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"162 ","pages":"Pages 65-83"},"PeriodicalIF":6.3,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137540","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}
引用次数: 0
Understanding the influence of past driving experience on electric vehicle purchase intention in China
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2024-11-28 DOI: 10.1016/j.tranpol.2024.11.025
Yuting Jiang , Qian Fu , Nikolas Thomopoulos , Jason Li Chen
Electric vehicles (EVs) have emerged as a promising solution to meet the sustainability goals of the transport sector, particularly in the short term. A large number of countries have introduced initiatives and policies to encourage the adoption and transition to EVs. However, the market share of EVs remains relatively low in comparison to internal-combustion-engine vehicles, largely due to various concerns by consumers. In this paper, we propose an integrated model combining the theory of planned behaviour and the value-belief-norm theory, to specifically incorporate past EV driving experiences of current consumers and understand the factors influencing their EV purchase intentions in the context of China. Our findings identify attitudes and personal norms as the primary drivers of EV purchase intentions, with a significantly positive correlation between past EV driving experiences and the intention to purchase an EV. In addition, specific latent variables such as attitudes toward EVs, personal norms, subjective norms and perceived behaviour control partially mediate this relationship. The socio-demographic analysis indicates that female consumers, highly educated and middle-aged individuals, as well as residents of relatively more developed regions show a higher likelihood of purchasing EVs, based on their past EV driving experiences. These insights can add value for key stakeholders such as EV manufacturers, retailers, government authorities and policymakers when formulating more effective policies supporting the Sustainable Development Goals.
{"title":"Understanding the influence of past driving experience on electric vehicle purchase intention in China","authors":"Yuting Jiang ,&nbsp;Qian Fu ,&nbsp;Nikolas Thomopoulos ,&nbsp;Jason Li Chen","doi":"10.1016/j.tranpol.2024.11.025","DOIUrl":"10.1016/j.tranpol.2024.11.025","url":null,"abstract":"<div><div>Electric vehicles (EVs) have emerged as a promising solution to meet the sustainability goals of the transport sector, particularly in the short term. A large number of countries have introduced initiatives and policies to encourage the adoption and transition to EVs. However, the market share of EVs remains relatively low in comparison to internal-combustion-engine vehicles, largely due to various concerns by consumers. In this paper, we propose an integrated model combining the theory of planned behaviour and the value-belief-norm theory, to specifically incorporate past EV driving experiences of current consumers and understand the factors influencing their EV purchase intentions in the context of China. Our findings identify attitudes and personal norms as the primary drivers of EV purchase intentions, with a significantly positive correlation between past EV driving experiences and the intention to purchase an EV. In addition, specific latent variables such as attitudes toward EVs, personal norms, subjective norms and perceived behaviour control partially mediate this relationship. The socio-demographic analysis indicates that female consumers, highly educated and middle-aged individuals, as well as residents of relatively more developed regions show a higher likelihood of purchasing EVs, based on their past EV driving experiences. These insights can add value for key stakeholders such as EV manufacturers, retailers, government authorities and policymakers when formulating more effective policies supporting the Sustainable Development Goals.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"162 ","pages":"Pages 270-282"},"PeriodicalIF":6.3,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137266","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}
引用次数: 0
Balancing economic and environmental strategies in regional hinterland transport: A dynamic network cross efficiency analysis
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2024-11-28 DOI: 10.1016/j.tranpol.2024.11.024
Xiaodan Jiang , Zhifan Zhan , Wei Ren , Xuezong Tao , Shiyuan Zheng , Meifeng Luo
Regional seaport hinterland transport network development strategies aim to maximize economic benefits while simultaneously mitigating environmental impacts. Tracking hinterland transport's environmental efficiency is crucial for monitoring and improving sustainable transport policies in regional seaports. Previous research mainly employs static self-assessment models under a single objective, overlooking multi-modal hinterland transport routes. This study introduces network cross-efficiency data envelopment analysis models to assess the efficiency of regional seaport hinterland transport, balancing economic and environmental strategies. We further employ the cross-efficiency global Malmquist productivity index to examine dynamic changes and emission reduction potential. We find that hub seaports advance faster than smaller seaports. Road-rail transport constantly showcases high efficiency. Hinterland transport's efficiencies under environment priority strategy show a weak positive correlation with balanced strategy, and a moderate negative correlation with economy priority strategy. Efficiency improvements in road and road-rail transport can be achieved through enhanced management, while technological innovation is key for road-inland waterway transport. The models and outcomes provide valuable insights for developing sustainable inland transport policies balancing economic growth and emission reduction in regional seaports.
{"title":"Balancing economic and environmental strategies in regional hinterland transport: A dynamic network cross efficiency analysis","authors":"Xiaodan Jiang ,&nbsp;Zhifan Zhan ,&nbsp;Wei Ren ,&nbsp;Xuezong Tao ,&nbsp;Shiyuan Zheng ,&nbsp;Meifeng Luo","doi":"10.1016/j.tranpol.2024.11.024","DOIUrl":"10.1016/j.tranpol.2024.11.024","url":null,"abstract":"<div><div>Regional seaport hinterland transport network development strategies aim to maximize economic benefits while simultaneously mitigating environmental impacts. Tracking hinterland transport's environmental efficiency is crucial for monitoring and improving sustainable transport policies in regional seaports. Previous research mainly employs static self-assessment models under a single objective, overlooking multi-modal hinterland transport routes. This study introduces network cross-efficiency data envelopment analysis models to assess the efficiency of regional seaport hinterland transport, balancing economic and environmental strategies. We further employ the cross-efficiency global Malmquist productivity index to examine dynamic changes and emission reduction potential. We find that hub seaports advance faster than smaller seaports. Road-rail transport constantly showcases high efficiency. Hinterland transport's efficiencies under environment priority strategy show a weak positive correlation with balanced strategy, and a moderate negative correlation with economy priority strategy. Efficiency improvements in road and road-rail transport can be achieved through enhanced management, while technological innovation is key for road-inland waterway transport. The models and outcomes provide valuable insights for developing sustainable inland transport policies balancing economic growth and emission reduction in regional seaports.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"162 ","pages":"Pages 128-154"},"PeriodicalIF":6.3,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137546","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}
引用次数: 0
Assessing the impact of airport incentive schemes on regional air connectivity differentials across Europe
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2024-11-28 DOI: 10.1016/j.tranpol.2024.11.022
Warnock-Smith D , Dziedzic M , Christidis P
This paper presents the results of the widest audit to date of airport incentive schemes across Europe. Using data from 2017 to 2021, incentive schemes for more than 400 airports have been listed and classified by incentive type. The top five categories of incentive were related to new routes, passenger growth, frequency and capacity, confidential agreements and airports with no incentives. The study also detailed change in direct connectivity between 2014 and 2019 for over 1,300 NUTS3 level regions across Europe and for the bottom 40 and top 40 regions by change in direct connectivity. The impact of the absence or presence of airport incentive schemes were assessed using cross-tabulations. The results show that there is limited evidence at a broader level of the employed incentive schemes having an impact on change in direct connectivity over the observed period or indeed on having an impact on the observed air connectivity inequalities that developed across Europe. There is some preliminary evidence that airports that have seen growth in direct connectivity have felt less of a need to offer such a wide range of incentive schemes, providing added weight to the notion that underlying regional economic activity is more likely to be a greater driver of airline route decision making than the presence or absence of airport incentive schemes.
{"title":"Assessing the impact of airport incentive schemes on regional air connectivity differentials across Europe","authors":"Warnock-Smith D ,&nbsp;Dziedzic M ,&nbsp;Christidis P","doi":"10.1016/j.tranpol.2024.11.022","DOIUrl":"10.1016/j.tranpol.2024.11.022","url":null,"abstract":"<div><div>This paper presents the results of the widest audit to date of airport incentive schemes across Europe. Using data from 2017 to 2021, incentive schemes for more than 400 airports have been listed and classified by incentive type. The top five categories of incentive were related to new routes, passenger growth, frequency and capacity, confidential agreements and airports with no incentives. The study also detailed change in direct connectivity between 2014 and 2019 for over 1,300 NUTS3 level regions across Europe and for the bottom 40 and top 40 regions by change in direct connectivity. The impact of the absence or presence of airport incentive schemes were assessed using cross-tabulations. The results show that there is limited evidence at a broader level of the employed incentive schemes having an impact on change in direct connectivity over the observed period or indeed on having an impact on the observed air connectivity inequalities that developed across Europe. There is some preliminary evidence that airports that have seen growth in direct connectivity have felt less of a need to offer such a wide range of incentive schemes, providing added weight to the notion that underlying regional economic activity is more likely to be a greater driver of airline route decision making than the presence or absence of airport incentive schemes.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"162 ","pages":"Pages 106-112"},"PeriodicalIF":6.3,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137539","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}
引用次数: 0
Effects of electric vehicle demonstration and promotion policy on air pollution: Evidence from China
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2024-11-27 DOI: 10.1016/j.tranpol.2024.11.023
Junjie Lin
The escalating problem of air pollution has recently attracted global attention. The use of electric vehicles (EVs) has emerged as a key strategy for mitigating air pollution in the transportation sector. This study uses the difference-in-differences method to examine the influence and underlying mechanisms of China's Electric Vehicle Demonstration and Promotion (EVDP) policy on air pollution. The results indicate that EVDP policy implementation significantly reduces urban air pollution. The EVDP policy is associated with a 3.1% reduction in fine particulate matter (PM2.5) emissions, which is equivalent to a reduction of 0.28–1.12% in mortality risk and of 175.1 billion yuan in government expenditure on pollution control. The emission reduction effect of the EVDP policy primarily manifests in cities in the southern region and with high electricity availability, exhibiting insensitivity to variations in city size. The EVDP policy reduces urban air pollution through technological innovation and corporate environmental, social, and governance responsibility. Moreover, the reduced air pollution driven by the EVDP policy can potentially mitigate health inequalities across population groups. These findings provide a foundation for advancing energy-saving development and EV demonstration and promotion in China, thereby promoting high-quality green urban development.
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引用次数: 0
Accelerators and hurdles, and their mediating effects on electric vehicle adoption
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2024-11-26 DOI: 10.1016/j.tranpol.2024.11.020
Hafsoah Ahmad , T.M. Rahul , Navdeep K. Asija
The sale of electric vehicles (EVs) in India was only 1.32% of all vehicle sales for FY 21–22. Through this study, the authors sought to contribute to the nascent field of research regarding the constructs influencing this low adoption. The study explores the existence of ‘early adopters’ among Indian consumers and investigates the direct and indirect impact of environmentalism on EV purchase propensity. The causal factors of the variation in the market shares of electric two-wheelers and electric cars in India's EV sales are addressed by estimating two Structural Equation Models encompassing latent variables and socio-demographics influencing their uptake. Technological Affinity emerged as the prime motivator and Concerns about Charging and Battery as the key hindrance to electric car purchase propensity. Environmental Consciousness positively affects both electric two-wheelers and electric car purchase propensities indirectly through Awareness about EVs & Green Policies, which itself demonstrates a positive influence in both cases. The results suggest that in India marketing electric cars as technologically superior cars rather than eco-friendly cars would be more effective. Concerns about Charging and Battery remained insignificant in the case of electric two-wheelers, lending an explanation to their greater market share despite inadequate infrastructure.
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引用次数: 0
期刊
Transport Policy
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