Pub Date : 2025-10-30DOI: 10.1016/j.retrec.2025.101659
Gökhan Güven
Employer-provided cars have become a standard mode of transportation worldwide, particularly for commuting. In most cases, company cars are considered fringe benefits, with a full package covering all internal travel costs (fuel, tolls, parking, etc.) paid by the employer. However, employers increasingly exclude these nonessential costs and offer only limited coverage packages to employees as a cost-cutting measure. This study analyzes the effects of different coverage policies on urban spatial structure, travel behavior, and residential location preferences under two different congestion management technologies (standard and bottleneck) and labor market structures (locally efficient and inefficient). Limited coverage with standard congestion tolling results in clustered economic activities and populations for both labor market structures. However, limited coverage with bottleneck congestion tolling can cause urban sprawl and more dispersed home locations, mainly due to constant trip costs, given that employers redistribute the surplus in the mobility budget (income effect). This study highlights the policy implications of urban fringe growth and downtown decline.
{"title":"The impact of employer-provided car coverage policies on urban spatial structure and commuting behavior","authors":"Gökhan Güven","doi":"10.1016/j.retrec.2025.101659","DOIUrl":"10.1016/j.retrec.2025.101659","url":null,"abstract":"<div><div>Employer-provided cars have become a standard mode of transportation worldwide, particularly for commuting. In most cases, company cars are considered fringe benefits, with a full package covering all internal travel costs (fuel, tolls, parking, etc.) paid by the employer. However, employers increasingly exclude these nonessential costs and offer only limited coverage packages to employees as a cost-cutting measure. This study analyzes the effects of different coverage policies on urban spatial structure, travel behavior, and residential location preferences under two different congestion management technologies (standard and bottleneck) and labor market structures (locally efficient and inefficient). Limited coverage with standard congestion tolling results in clustered economic activities and populations for both labor market structures. However, limited coverage with bottleneck congestion tolling can cause urban sprawl and more dispersed home locations, mainly due to constant trip costs, given that employers redistribute the surplus in the mobility budget (income effect). This study highlights the policy implications of urban fringe growth and downtown decline.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"114 ","pages":"Article 101659"},"PeriodicalIF":3.4,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145417947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-10-27DOI: 10.1016/j.retrec.2025.101660
Yue Huang , Hongcheng Gan , Maria Nadia Postorino , Ke Wang , Xuelian Wu
With rapid urbanization, the demand for intercity travel is increasing, along with the variety of travel options due to technological advancements. However, prior studies on intercity travel mode choice have rarely considered functional amenities and psychological factors, often relying on revealed preference (RP) or stated preference (SP) data. This study designed an RP and SP questionnaire based on a trip chain integrating intra- and intercity mobility, focusing on the Hefei metropolitan area in China. Utilizing RP-SP fusion data, an Integrated Choice and Latent Variable framework incorporating random taste heterogeneity and psychological characteristics was developed to investigate travelers' mode choice behavior for conventional train, high-speed rail, intercity bus, private car, and intercity ride-hailing. Findings indicate that intercity in-vehicle time and cost are the most influential factors, with significant heterogeneity among travelers. There is lower satisfaction with the in-vehicle time of trains and buses, and the costs associated with buses and ride-hailing services. Intra-city access time is also crucial, while service attributes like catering and hygiene conditions, Wi-Fi availability show minimal impact. Psychological traits, including safety concern, hedonism, and social anxiety, significantly affect intercity travel preferences. Elasticity analysis suggests that intercity buses’ market growth potential comes mainly from train and ride-hailing consumers.
{"title":"Young people preferences about enhanced transportation services for intercity trips: An integrated choice and latent variable approach","authors":"Yue Huang , Hongcheng Gan , Maria Nadia Postorino , Ke Wang , Xuelian Wu","doi":"10.1016/j.retrec.2025.101660","DOIUrl":"10.1016/j.retrec.2025.101660","url":null,"abstract":"<div><div>With rapid urbanization, the demand for intercity travel is increasing, along with the variety of travel options due to technological advancements. However, prior studies on intercity travel mode choice have rarely considered functional amenities and psychological factors, often relying on revealed preference (RP) or stated preference (SP) data. This study designed an RP and SP questionnaire based on a trip chain integrating intra- and intercity mobility, focusing on the Hefei metropolitan area in China. Utilizing RP-SP fusion data, an Integrated Choice and Latent Variable framework incorporating random taste heterogeneity and psychological characteristics was developed to investigate travelers' mode choice behavior for conventional train, high-speed rail, intercity bus, private car, and intercity ride-hailing. Findings indicate that intercity in-vehicle time and cost are the most influential factors, with significant heterogeneity among travelers. There is lower satisfaction with the in-vehicle time of trains and buses, and the costs associated with buses and ride-hailing services. Intra-city access time is also crucial, while service attributes like catering and hygiene conditions, Wi-Fi availability show minimal impact. Psychological traits, including safety concern, hedonism, and social anxiety, significantly affect intercity travel preferences. Elasticity analysis suggests that intercity buses’ market growth potential comes mainly from train and ride-hailing consumers.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"114 ","pages":"Article 101660"},"PeriodicalIF":3.4,"publicationDate":"2025-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145417946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-10-23DOI: 10.1016/j.retrec.2025.101653
Doosun Hong, Sunghoon Jang
This study explores the heterogeneous adoption preferences of physically disabled people for the introduction of wheelchair-accessible express bus in intercity travel. A face-to-face stated choice experiment for physically disabled people was conducted in South Korea, where significant policy efforts have been made to enhance adoption of wheelchair-accessible express bus. A latent class mixed logit incorporating panel effect was applied to explore inter- and intra-personal heterogeneity in the preferences. The results indicate that both inter- and intra-personal heterogeneity are statistically significant. The inter-personal heterogeneity was discontinuously separated into the classes by some socio-demographics, disability grade, and their intention to increase the number of intercity travel, affecting their value of travel time, then the continuously distributed personal heterogeneity is significantly observed in all the classes. The results further show that the adoption probability is higher in the group with a lower value of travel time. On average, the adoption probabilities are more sensitive to increased travel time or decreased travel cost of the wheelchair-accessible express bus.
{"title":"Understanding heterogeneous preferences of physically disabled people for wheelchair-accessible express bus: Towards equitable public transportation","authors":"Doosun Hong, Sunghoon Jang","doi":"10.1016/j.retrec.2025.101653","DOIUrl":"10.1016/j.retrec.2025.101653","url":null,"abstract":"<div><div>This study explores the heterogeneous adoption preferences of physically disabled people for the introduction of wheelchair-accessible express bus in intercity travel. A face-to-face stated choice experiment for physically disabled people was conducted in South Korea, where significant policy efforts have been made to enhance adoption of wheelchair-accessible express bus. A latent class mixed logit incorporating panel effect was applied to explore inter- and intra-personal heterogeneity in the preferences. The results indicate that both inter- and intra-personal heterogeneity are statistically significant. The inter-personal heterogeneity was discontinuously separated into the classes by some socio-demographics, disability grade, and their intention to increase the number of intercity travel, affecting their value of travel time, then the continuously distributed personal heterogeneity is significantly observed in all the classes. The results further show that the adoption probability is higher in the group with a lower value of travel time. On average, the adoption probabilities are more sensitive to increased travel time or decreased travel cost of the wheelchair-accessible express bus.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"114 ","pages":"Article 101653"},"PeriodicalIF":3.4,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145364203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-10-21DOI: 10.1016/j.retrec.2025.101654
Bi Wang , Canyou Wang , Haike Qiao , Qin Su
Geographically complementary seaports and dry ports confront an elevated susceptibility to a spectrum of regular and disruption risks resulting from their unique geographical location and pivotal socioeconomic roles. Port authorities (PAs) respond to these challenges through preventive investments aimed at reducing the probability of risk occurrence and adaptive investments designed to mitigate the severity of consequences. This study develops a two-stage game-theoretic model to jointly examine these investment decisions, incorporating the dynamics of intermodal competition and cooperation between geographically complementary seaports and dry ports. The analysis reveals a bidirectional free-rider phenomenon, wherein seaports may underinvest in prevention while deriving benefits from the efforts of dry ports, and conversely, dry ports may depend on the adaptation implemented by seaports without contributing proportionally. Under intermodal competition, PAs compete for overlapping hinterland markets, incentivizing them to actively resolve risk uncertainties to strengthen competitive advantage. In cooperative settings, reduced market rivalry leads to a higher tolerance for unresolved uncertainties, prompting PAs to prioritize investments in risks characterized by lower uncertainty. The findings indicate that differentiated investment strategies may compromise the overall profitability of PAs. These findings offer managerial insights for decision-makers seeking to enhance port resilience and optimize resource allocation in port-hinterland system.
{"title":"Risk prevention and adaptation strategies for geographically complementary seaports and dry ports under intermodal interaction","authors":"Bi Wang , Canyou Wang , Haike Qiao , Qin Su","doi":"10.1016/j.retrec.2025.101654","DOIUrl":"10.1016/j.retrec.2025.101654","url":null,"abstract":"<div><div>Geographically complementary seaports and dry ports confront an elevated susceptibility to a spectrum of regular and disruption risks resulting from their unique geographical location and pivotal socioeconomic roles. Port authorities (PAs) respond to these challenges through preventive investments aimed at reducing the probability of risk occurrence and adaptive investments designed to mitigate the severity of consequences. This study develops a two-stage game-theoretic model to jointly examine these investment decisions, incorporating the dynamics of intermodal competition and cooperation between geographically complementary seaports and dry ports. The analysis reveals a bidirectional free-rider phenomenon, wherein seaports may underinvest in prevention while deriving benefits from the efforts of dry ports, and conversely, dry ports may depend on the adaptation implemented by seaports without contributing proportionally. Under intermodal competition, PAs compete for overlapping hinterland markets, incentivizing them to actively resolve risk uncertainties to strengthen competitive advantage. In cooperative settings, reduced market rivalry leads to a higher tolerance for unresolved uncertainties, prompting PAs to prioritize investments in risks characterized by lower uncertainty. The findings indicate that differentiated investment strategies may compromise the overall profitability of PAs. These findings offer managerial insights for decision-makers seeking to enhance port resilience and optimize resource allocation in port-hinterland system.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"114 ","pages":"Article 101654"},"PeriodicalIF":3.4,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145364202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-10-18DOI: 10.1016/j.retrec.2025.101652
Chieh-Hua Wen, Zheng Tai
Airlines provide a range of fare products and ancillary services to accommodate travelers’ diverse requirements. This study presents a modeling framework for air travel decisions, focusing on fare product choice and advanced seat selection. The framework is utilized to develop and estimate mixed logit models in multiple stages to enhance air travel demand and revenue forecasting. The proposed models are validated using online survey data collected from a sample of respondents who have traveled from Taipei to Tokyo and/or Taipei to San Francisco. The empirical results indicate that individual socioeconomic status and trip characteristics strongly influence decisions at various stages. Airfare and seat selection fees play crucial roles in air travelers’ decision-making. Significant substitutions between alternatives and notable heterogeneity in preferences were observed. Our findings offer important behavioral and managerial suggestions for airlines.
{"title":"Multistage modeling of advanced seat reservation and fare product choices","authors":"Chieh-Hua Wen, Zheng Tai","doi":"10.1016/j.retrec.2025.101652","DOIUrl":"10.1016/j.retrec.2025.101652","url":null,"abstract":"<div><div>Airlines provide a range of fare products and ancillary services to accommodate travelers’ diverse requirements. This study presents a modeling framework for air travel decisions, focusing on fare product choice and advanced seat selection. The framework is utilized to develop and estimate mixed logit models in multiple stages to enhance air travel demand and revenue forecasting. The proposed models are validated using online survey data collected from a sample of respondents who have traveled from Taipei to Tokyo and/or Taipei to San Francisco. The empirical results indicate that individual socioeconomic status and trip characteristics strongly influence decisions at various stages. Airfare and seat selection fees play crucial roles in air travelers’ decision-making. Significant substitutions between alternatives and notable heterogeneity in preferences were observed. Our findings offer important behavioral and managerial suggestions for airlines.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"114 ","pages":"Article 101652"},"PeriodicalIF":3.4,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145334000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-10-16DOI: 10.1016/j.retrec.2025.101651
Allan Pimenta , Liton (Md) Kamruzzaman , Fuad Huda , Graham Currie
Private autonomous vehicles (PAVs) have the potential to significantly reduce the demand for parking spaces and costs in urban centres through their self-driving capabilities to find free or cheaper parking options elsewhere. Yet, limited research has examined how factors such as residential location, residential parking type, and workplace parking payment type (e.g., self-paid or employer-paid) influence PAV parking choices and associated empty-cruising vehicle-kilometres travelled (VKT). This study addresses these gaps using survey data collected from 526 commuters driving to Central Melbourne, Australia. We employ both random forest (RF) and multinomial logistic regression (MNL) models to investigate factors influencing different parking options. The MNL results show that commute time, household composition, residential parking type, region, age, housing type, and walking time are key determinants of preferences for sending PAVs home. Meanwhile, education, household composition, region, and car ownership influence preferences for free suburban parking. These results align with RF model importance rankings, where commute time (19 %) and household composition (11 %) were the top predictors. Additionally, sending vehicles home could generate 13 % more VKT compared to current commuter patterns. These findings have implications for managing future CBD parking supply, regulating empty cruising, and shaping land use and pricing strategies for PAV-era mobility.
{"title":"Examining parking preferences with private autonomous vehicles using random forest and logit models: the case of commuters to central Melbourne","authors":"Allan Pimenta , Liton (Md) Kamruzzaman , Fuad Huda , Graham Currie","doi":"10.1016/j.retrec.2025.101651","DOIUrl":"10.1016/j.retrec.2025.101651","url":null,"abstract":"<div><div>Private autonomous vehicles (PAVs) have the potential to significantly reduce the demand for parking spaces and costs in urban centres through their self-driving capabilities to find free or cheaper parking options elsewhere. Yet, limited research has examined how factors such as residential location, residential parking type, and workplace parking payment type (e.g., self-paid or employer-paid) influence PAV parking choices and associated empty-cruising vehicle-kilometres travelled (VKT). This study addresses these gaps using survey data collected from 526 commuters driving to Central Melbourne, Australia. We employ both random forest (RF) and multinomial logistic regression (MNL) models to investigate factors influencing different parking options. The MNL results show that commute time, household composition, residential parking type, region, age, housing type, and walking time are key determinants of preferences for sending PAVs home. Meanwhile, education, household composition, region, and car ownership influence preferences for free suburban parking. These results align with RF model importance rankings, where commute time (19 %) and household composition (11 %) were the top predictors. Additionally, sending vehicles home could generate 13 % more VKT compared to current commuter patterns. These findings have implications for managing future CBD parking supply, regulating empty cruising, and shaping land use and pricing strategies for PAV-era mobility.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"114 ","pages":"Article 101651"},"PeriodicalIF":3.4,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-10-14DOI: 10.1016/j.retrec.2025.101650
Haoning Xi , John D. Nelson , Corinne Mulley , David A. Hensher , Chinh Ho , Camila Balbontin
This paper explores mobility barriers and the impact of transport disadvantage on vulnerable individuals (such as the elderly, disabled, and low-income) in regional and rural areas. Qualitative analysis is conducted using the data collected from community group discussions in three regional towns in New South Wales (NSW), Australia, and identifies a significant gap in the literature concerning the potential for integrated mobility solutions to address mobility barriers of the transport-disadvantaged in regional and rural settings. Our findings highlight the need to strive for the “gold standard” including better infrastructure, integration of services, increased safety, comfort, and convenience, and greater availability, affordability, and flexibility of mobility services. The insights from the discussions suggest that integrated mobility solutions, have significant potential to ameliorate these barriers, improve the quality of life and promote social inclusion for rural populations. The paper provides policy implications on improving the appeal and adoption of integrated mobility solutions more generally in regional and rural settings.
{"title":"Addressing transport disadvantages in regional and rural areas through integrated mobility services","authors":"Haoning Xi , John D. Nelson , Corinne Mulley , David A. Hensher , Chinh Ho , Camila Balbontin","doi":"10.1016/j.retrec.2025.101650","DOIUrl":"10.1016/j.retrec.2025.101650","url":null,"abstract":"<div><div>This paper explores mobility barriers and the impact of transport disadvantage on vulnerable individuals (such as the elderly, disabled, and low-income) in regional and rural areas. Qualitative analysis is conducted using the data collected from community group discussions in three regional towns in New South Wales (NSW), Australia, and identifies a significant gap in the literature concerning the potential for integrated mobility solutions to address mobility barriers of the transport-disadvantaged in regional and rural settings. Our findings highlight the need to strive for the “gold standard” including better infrastructure, integration of services, increased safety, comfort, and convenience, and greater availability, affordability, and flexibility of mobility services. The insights from the discussions suggest that integrated mobility solutions, have significant potential to ameliorate these barriers, improve the quality of life and promote social inclusion for rural populations. The paper provides policy implications on improving the appeal and adoption of integrated mobility solutions more generally in regional and rural settings.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"114 ","pages":"Article 101650"},"PeriodicalIF":3.4,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As the battery electric vehicle (BEV) market matures and fiscal subsidies are phased out, consumer purchase intentions and potential user groups evolve. To further increase BEV penetration in the post-subsidy era, it is crucial to understand cognitive differences and influencing factors across adopter segments. However, limited research has addressed shifting purchasing intentions among adopters at different stages. Guided by innovation diffusion theory, this study fills this gap by identifying current and potential users as early adopters and the early-to-late majority. For the latter group, an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model is proposed, incorporating BEV-specific factors such as environmental morals, belief in electrification, anticipated grid stability, pleasure-driven incentives, and technological proficiency. Based on survey data from 600 potential car buyers in Beijing, China, partial least squares structural equation modeling (PLS-SEM) is applied to estimate determinants. Results reveal that the early-to-late majority are significantly influenced by social influence, effort expectancy, facilitating conditions, and technological proficiency, whereas performance expectations and environmental concern are no longer significant. This shift reflects a growing emphasis on social value, cost-effectiveness, and ease of use. The findings underscore the need for targeted policy strategies to support BEV adoption in the post-subsidy era.
{"title":"Intention to adopt battery electric vehicles among the early-to-late majority: Policy and behavioral insights from post-subsidy China","authors":"Feiyu Feng (Associate professor) , Xinhao Ding (Master student) , Jieru Zou , Liangpeng Gao (Associate professor) , Qian Sun (Associate professor)","doi":"10.1016/j.retrec.2025.101649","DOIUrl":"10.1016/j.retrec.2025.101649","url":null,"abstract":"<div><div>As the battery electric vehicle (BEV) market matures and fiscal subsidies are phased out, consumer purchase intentions and potential user groups evolve. To further increase BEV penetration in the post-subsidy era, it is crucial to understand cognitive differences and influencing factors across adopter segments. However, limited research has addressed shifting purchasing intentions among adopters at different stages. Guided by innovation diffusion theory, this study fills this gap by identifying current and potential users as early adopters and the early-to-late majority. For the latter group, an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model is proposed, incorporating BEV-specific factors such as environmental morals, belief in electrification, anticipated grid stability, pleasure-driven incentives, and technological proficiency. Based on survey data from 600 potential car buyers in Beijing, China, partial least squares structural equation modeling (PLS-SEM) is applied to estimate determinants. Results reveal that the early-to-late majority are significantly influenced by social influence, effort expectancy, facilitating conditions, and technological proficiency, whereas performance expectations and environmental concern are no longer significant. This shift reflects a growing emphasis on social value, cost-effectiveness, and ease of use. The findings underscore the need for targeted policy strategies to support BEV adoption in the post-subsidy era.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"114 ","pages":"Article 101649"},"PeriodicalIF":3.4,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145334001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-10-01DOI: 10.1016/j.retrec.2025.101628
Vivek Kumar Gupta , Mark Burris , Xiubin "Bruce" Wang , Katherine F. Turnbull
The Minnesota Department of Transportation charges tolls to single-occupant vehicles using MnPASS lanes. Their toll algorithm varied tolls from $0.25 up to $8 (the toll cap), based on the traffic conditions in the MnPASS lanes. This research analyzed the occurrences of tolls hitting the cap using two years of toll transaction, speed, and volume data. Many single occupancy vehicle (SOV) travelers continued to use the MnPASS lanes at the maximum toll. Nearly 65 % of MnPASS trips where users paid the maximum toll ($8), had an average trip speed below 50 mph (80 kph). This suggests that the $8 toll cap failed to discourage enough MnPASS users to keep traffic flowing faster than 50 mph. Thus, the MnPASS toll policy might be improved by removing or increasing the $8 toll cap. Our results showed better throughput and increased revenue could be attained if the tolls were allowed to exceed the $8 toll cap.
{"title":"The impact of the I-35 HOT lane toll cap on congestion and revenue","authors":"Vivek Kumar Gupta , Mark Burris , Xiubin \"Bruce\" Wang , Katherine F. Turnbull","doi":"10.1016/j.retrec.2025.101628","DOIUrl":"10.1016/j.retrec.2025.101628","url":null,"abstract":"<div><div>The Minnesota Department of Transportation charges tolls to single-occupant vehicles using MnPASS lanes. Their toll algorithm varied tolls from $0.25 up to $8 (the toll cap), based on the traffic conditions in the MnPASS lanes. This research analyzed the occurrences of tolls hitting the cap using two years of toll transaction, speed, and volume data. Many single occupancy vehicle (SOV) travelers continued to use the MnPASS lanes at the maximum toll. Nearly 65 % of MnPASS trips where users paid the maximum toll ($8), had an average trip speed below 50 mph (80 kph). This suggests that the $8 toll cap failed to discourage enough MnPASS users to keep traffic flowing faster than 50 mph. Thus, the MnPASS toll policy might be improved by removing or increasing the $8 toll cap. Our results showed better throughput and increased revenue could be attained if the tolls were allowed to exceed the $8 toll cap.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"113 ","pages":"Article 101628"},"PeriodicalIF":3.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145219917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-09-27DOI: 10.1016/j.retrec.2025.101637
Hans Otto Hauger
This paper presents the Analogy Method as a pragmatic approach to address the challenges of transportation planning, under the Norwegian government's extensive investment plan of 1308 billion NOK for infrastructure improvements during 2025–2036. The plan aims to foster mobility, regional development and environmental sustainability, necessitating efficient resource allocation that meets political objectives while permitting quantifiable evaluation of impacts. Traditional analytical methods often fall short due to data limitations and time constraints faced by decision-makers. In response, this study demonstrates the broader applicability of the Analogy Method within the transportation sector with an analysis of high-speed railway impacts on regional development in the Eidsvoll and Aurskog-Høland areas. Through the comparative analysis of known phenomena with emerging projects, the Analogy Method facilitates early cost/benefit predictions, offering a strategic tool for decision-makers under pressure. This paper explores the concept of generalised travel costs (GCs) in assessing socio-economic impacts and illustrates the resulting time savings, cost efficiency and clarity in evaluations. The article outlines the method's theoretical foundation and applies it to a case study of a proposed railway station project, aiming to elucidate both the economic profitability for society and the implications for broader planning practices. In addressing two key research questions – whether the Analogy Method can effectively predict socio-economic impacts in data-scarce environments and how its application increases understanding of project benefits and costs – this paper aspires to bridge theoretical insights with practical applications. The findings encourage further exploration of the Analogy Method's potential in transportation planning and its capacity to support informed, data-driven decision-making amidst the complexities of infrastructure development.
{"title":"Early-phase evaluation and screening of infrastructure investment projects using the analogy methodology","authors":"Hans Otto Hauger","doi":"10.1016/j.retrec.2025.101637","DOIUrl":"10.1016/j.retrec.2025.101637","url":null,"abstract":"<div><div>This paper presents the Analogy Method as a pragmatic approach to address the challenges of transportation planning, under the Norwegian government's extensive investment plan of 1308 billion NOK for infrastructure improvements during 2025–2036. The plan aims to foster mobility, regional development and environmental sustainability, necessitating efficient resource allocation that meets political objectives while permitting quantifiable evaluation of impacts. Traditional analytical methods often fall short due to data limitations and time constraints faced by decision-makers. In response, this study demonstrates the broader applicability of the Analogy Method within the transportation sector with an analysis of high-speed railway impacts on regional development in the Eidsvoll and Aurskog-Høland areas. Through the comparative analysis of known phenomena with emerging projects, the Analogy Method facilitates early cost/benefit predictions, offering a strategic tool for decision-makers under pressure. This paper explores the concept of generalised travel costs (GCs) in assessing socio-economic impacts and illustrates the resulting time savings, cost efficiency and clarity in evaluations. The article outlines the method's theoretical foundation and applies it to a case study of a proposed railway station project, aiming to elucidate both the economic profitability for society and the implications for broader planning practices. In addressing two key research questions – whether the Analogy Method can effectively predict socio-economic impacts in data-scarce environments and how its application increases understanding of project benefits and costs – this paper aspires to bridge theoretical insights with practical applications. The findings encourage further exploration of the Analogy Method's potential in transportation planning and its capacity to support informed, data-driven decision-making amidst the complexities of infrastructure development.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"114 ","pages":"Article 101637"},"PeriodicalIF":3.4,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}