Journal Description
Future Transportation
Future Transportation
is an international, peer-reviewed, open access journal on the civil engineering, economics, environment and geography, computer science and other transdisciplinary dimensions of transportation published quarterly online by MDPI.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, EBSCO, and other databases.
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 28.2 days after submission; acceptance to publication is undertaken in 9.3 days (median values for papers published in this journal in the second half of 2023).
- Recognition of Reviewers: APC discount vouchers, optional signed peer review, and reviewer names published annually in the journal.
- Future Transportation is a companion journal of Sustainability.
Latest Articles
Effect of Policies to Accelerate the Adoption of Battery Electric Vehicles in Finland—A Delphi Study
Future Transp. 2024, 4(1), 67-91; https://doi.org/10.3390/futuretransp4010005 - 12 Jan 2024
Abstract
►
Show Figures
Greenhouse gas (GHG) emissions from transport contribute significantly to climate change. Some of the transport policies with the greatest potential to mitigate climate change are related to zero-emission vehicles. This study aimed to analyse the different factors, and their importance, influencing purchase decisions
[...] Read more.
Greenhouse gas (GHG) emissions from transport contribute significantly to climate change. Some of the transport policies with the greatest potential to mitigate climate change are related to zero-emission vehicles. This study aimed to analyse the different factors, and their importance, influencing purchase decisions for battery electric vehicles (BEV). Experts’ perceptions were collected with a Delphi study consisting of a two-round survey to assess factors that would increase the probability of a petrol- or diesel-car owner purchasing a BEV in Finland in the year 2025. Increasing the possibilities for home charging and the provision of a purchase subsidy were seen as the most important factors. Public fast charging and the difference in use costs between current technology vehicles and BEVs were also recognised as important factors. Existing systems of financial instruments and policies must be constantly evaluated and updated due to the evolving BEV industry.
Full article
Open AccessArticle
Applying Density-Based Clustering for the Analysis of Emission Events in Real Driving Emissions Calibration
by
, , , , , , and
Future Transp. 2024, 4(1), 46-66; https://doi.org/10.3390/futuretransp4010004 - 10 Jan 2024
Abstract
►▼
Show Figures
Further reducing greenhouse gas and pollutant emissions from road vehicles is a major task for the automotive industry. Stricter regulations regarding emissions and fleet fuel consumption require the continuous development of new powertrains and methods. In particular, the combination of hybrid powertrains on
[...] Read more.
Further reducing greenhouse gas and pollutant emissions from road vehicles is a major task for the automotive industry. Stricter regulations regarding emissions and fleet fuel consumption require the continuous development of new powertrains and methods. In particular, the combination of hybrid powertrains on the technical side and the focus on real driving emissions (RDE) on the legislative side pose significant challenges to the vehicle calibration process. Against this background, new test methods and environments are being investigated to counteract the high number of interactions between hybrid drive systems and quasi-infinite test conditions due to RDE. Complementary to new test environments, innovative methods for data analysis are needed that allow the exploitation of the complete potential of measurement data. The application of such a method in the field of emission calibration is presented in this paper. For this purpose, a clustering method (HDBSCAN) is applied to critical sequences from emission tests. Within this presentation, the clustering process is based on a single signal only. This paper shows how signals of various characteristics can be processed with dynamic time warping and generically structured with the clustering method used. Here, 959 single events are automatically categorized into 24 clusters. This provides a new basis for system evaluation, enabling the automatic identification, categorization, and prioritization of calibration weaknesses. Using twelve signals of different characteristics, the generic usability of the clustering method is demonstrated.
Full article
Figure 1
Open AccessArticle
Lived Experiences of People with and without Disabilities across the Lifespan on Autonomous Shuttles
Future Transp. 2024, 4(1), 27-45; https://doi.org/10.3390/futuretransp4010003 - 05 Jan 2024
Abstract
As an emerging, alternative mode of transportation, an in-depth understanding of autonomous shuttle (AS) experiences among all age groups, with and without disabilities, may impact acceptance and adoption of the AS, shape industry guidelines, and impact public policy. Therefore, this study analyzed qualitative
[...] Read more.
As an emerging, alternative mode of transportation, an in-depth understanding of autonomous shuttle (AS) experiences among all age groups, with and without disabilities, may impact acceptance and adoption of the AS, shape industry guidelines, and impact public policy. Therefore, this study analyzed qualitative data from older (n = 104), younger, and middle-aged (n = 106) adults and people with disabilities (n = 42). The data were obtained by asking participants four open-ended questions from an Autonomous Vehicle User Perception Survey. The result revealed seven themes (Safety, Ease of Use, Cost, Availability, Aging, AS Information, and Experience with AS) for older, younger, and middle-aged adults and six themes (all of the previously mentioned except for Aging) for people with disabilities. Frequency counts indicated priority attention, among all groups, to Safety and Ease of Use. This study provides valuable information pertaining to the experiences, concerns, and motivations of all potential users across age groups and disabilities—and may inform policymakers and industry partners to address their needs more adequately. These findings may contribute to improving and enhancing AS programming, design, and deployment in a safer, accessible, affordable, and tailored way.
Full article
(This article belongs to the Special Issue Emerging Issues in Transport and Mobility)
►▼
Show Figures
Figure 1
Open AccessArticle
A Systematic Patent Review of Connected Vehicle Technology Trends
Future Transp. 2024, 4(1), 15-26; https://doi.org/10.3390/futuretransp4010002 - 02 Jan 2024
Abstract
►▼
Show Figures
Governments and manufacturers anticipate that connected vehicle deployments will reduce accidents, optimize traffic flow, and enhance the driving experience. Although extensive studies focus on the technical aspects of connected vehicles, a gap exists in systematically analyzing the invention trends shaping the field. Insights
[...] Read more.
Governments and manufacturers anticipate that connected vehicle deployments will reduce accidents, optimize traffic flow, and enhance the driving experience. Although extensive studies focus on the technical aspects of connected vehicles, a gap exists in systematically analyzing the invention trends shaping the field. Insights into these trends is a strategic imperative for policymakers, researchers, and investors alike. This study presents a systematic patent review (SPR) as a robust and adaptable methodological framework for patent analysis. Adapted from the established systematic literature review (SLR), the SPR offers detailed insights into both the thematic and temporal trajectories of innovation in any technology field. The SPR identifies 220 U.S. patents from 2018 to 2022 and classifies them into specific objective categories such as computing resources, cybersecurity, and driving safety, among others. The study notes an increasing focus on driving safety and secure wireless communications, which aligns with broader goals of enhancing safety and situational awareness in transportation. Both the methodological framework and findings address an existing gap in the literature, guide future research, policymaking, and investment in the field of connected vehicles.
Full article
Figure 1
Open AccessArticle
Optimal Route Crowd-Shipping System for Sustainable Rapid Delivery: Algorithm, Simulation, and Feasibility Evaluation
Future Transp. 2024, 4(1), 1-14; https://doi.org/10.3390/futuretransp4010001 - 27 Dec 2023
Abstract
Delivery systems are ubiquitous in today’s economy. However, those systems usually operate through purpose-built vehicles, which are inefficient, expensive, and highly harmful to the environment. We propose an optimal route crowd-shipping (OR-CS) system, a delivery service based on crowd transportation. The
[...] Read more.
Delivery systems are ubiquitous in today’s economy. However, those systems usually operate through purpose-built vehicles, which are inefficient, expensive, and highly harmful to the environment. We propose an optimal route crowd-shipping (OR-CS) system, a delivery service based on crowd transportation. The OR-CS system utilizes service points (SPs) and occasional couriers (OCs) to transfer deliveries. Senders drop packages at SPs, while receivers collect them from different SPs. The system is based on a new algorithm that assigns to each package an optimal route. The route is chosen individually for the package and is personally tailored according to the sender’s preferences and to the predefined routes of the OCs. To assess the real-life feasibility of the system, we developed a general simulator that emulates a city environment with authentic service points specifically selected based on desired attributes. The routes of OCs and the origins and destinations of packages were generated using a random process that differed between simulations. The results indicate that the system can be implemented and utilized. In addition, it yields positive results when the number of OCs surpasses a minimum threshold, which is feasible in most cities, given existing traffic loads. By adopting OR-CS, we can expect lowered delivery costs, reduced traffic congestion, and enhanced environmental sustainability.
Full article
(This article belongs to the Special Issue Feature Papers in Future Transportation)
►▼
Show Figures
Figure 1
Open AccessReview
A Systematic Literature Review on Health Benefits, Incentives, and Applications to Promote Walking in Urban Areas
by
, , , , , and
Future Transp. 2023, 3(4), 1385-1400; https://doi.org/10.3390/futuretransp3040076 - 06 Dec 2023
Abstract
►▼
Show Figures
The transportation sector contributes significantly to global warming, as well as to urban fabric problems such as traffic congestion, traffic accidents, noise pollution, and air pollution. A shift from fossil fuels to renewable sources and from motorized to non-motorized modes is now considered
[...] Read more.
The transportation sector contributes significantly to global warming, as well as to urban fabric problems such as traffic congestion, traffic accidents, noise pollution, and air pollution. A shift from fossil fuels to renewable sources and from motorized to non-motorized modes is now considered essential to create sustainable communities. Walking is a sustainable transport mode and several studies have focused on factors affecting it, including travel behavior and sociodemographics. In this study, we conduct a systematic literature review to identify and record walking benefits, the financial incentives that encourage travelers to walk, and applications that support it. Financial incentives are found to have short-term effects, and their success depends on the level and structure of the incentives as well as the characteristics of the participants. In addition, non-financial incentives, such as improving infrastructure and pedestrian safety, or providing information and education about the benefits of walking, may also promote it as a main mode of transport.
Full article
Figure 1
Open AccessArticle
A Multidimensional Readiness Index for the Electrification of the Transportation System in China, Norway, and Sweden
Future Transp. 2023, 3(4), 1360-1384; https://doi.org/10.3390/futuretransp3040075 - 04 Dec 2023
Abstract
►▼
Show Figures
The main objective of this paper is to develop a readiness index model that can serve as an analytical tool for exploring the achievements of the electrification of transportation systems. We have applied this readiness index model to evaluate the readiness positioning of
[...] Read more.
The main objective of this paper is to develop a readiness index model that can serve as an analytical tool for exploring the achievements of the electrification of transportation systems. We have applied this readiness index model to evaluate the readiness positioning of China, Norway, and Sweden towards transportation electrification. We have chosen these three countries as they represent diversity among countries adopting electric transportation system solutions. Our developed readiness index model has four key dimensions: technological readiness, political readiness, societal readiness, and economic readiness. The embeddedness of all four dimensions in one model provides a multi-perspective way of analyzing and evaluating the readiness levels of countries moving towards transforming their transportation system. Therefore, we named the model a “multidimensional readiness index”. Our main conclusions are that political processes and decisiveness are the most important factors, followed by societal needs and economic ability, with the current technology as the fourth. Without the participation of dedicated and determined political decision makers, the other three factors are challenging to obtain. Political decision makers need to facilitate economic means to support the transformation in society and affected industries to balance the economic disadvantages of the electrically powered vehicle systems until they pass the cost disadvantage turning point. The development of relevant technology is no longer the significant barrier it was at the beginning of this transformation about 20 years ago. The technology for electrically powered transportation systems and devices is widely available now, although it is continuously evolving and being improved. Associated industries cannot be expected to initiate, finance, take risks, and take the lead in this global societal transformation without clear and strong political support.
Full article
Figure 1
Open AccessArticle
Improving Mobility in Marginalised Communities
Future Transp. 2023, 3(4), 1347-1359; https://doi.org/10.3390/futuretransp3040074 - 01 Dec 2023
Abstract
►▼
Show Figures
This paper examines how mobility can be re-examined within four communities that face substantial transport barriers. Four case study communities facing mobility exclusion were investigated: (i) an ageing community in South Wales; (ii) a community of people with learning difficulties from across Wales;
[...] Read more.
This paper examines how mobility can be re-examined within four communities that face substantial transport barriers. Four case study communities facing mobility exclusion were investigated: (i) an ageing community in South Wales; (ii) a community of people with learning difficulties from across Wales; (iii) female university students in Pakistan; (iv) a deprived neighbourhood in mid-Wales. Using an illuminative evaluation, collating a variety of information from documents associated with the communities, it was identified that transport creates freedom, independence, and contributes to sense of purpose, worth, and can help create community. Barriers to public transport include inaccessibility of the first/last mile, services not running at required times, being delayed, and cancelled. Barriers to active travel include poor infrastructure. Not being able to be mobile affects health, not just with a lack of active travel but also missed health appointments and a lack of access to healthy foods. Already marginalised communities are further disadvantaged by the barriers reducing access to jobs, education, services, shops, and leisure. Communities want support to develop their knowledge into a package that actors can use to develop a solution, often citing the need for quantitative skills, however, other ways of utilising experiential knowledge might be more appropriate.
Full article
Figure 1
Open AccessReview
Moving on from a Diesel Mindset—Understanding Enablers and Challenges for Electrifying Road Freight Using Stakeholder Engagement
Future Transp. 2023, 3(4), 1326-1346; https://doi.org/10.3390/futuretransp3040073 - 01 Dec 2023
Abstract
►▼
Show Figures
Achieving net zero by 2050 requires the decarbonisation of road transport. Electrification is recognised as a market-ready solution for certain transport segments, but it still poses a considerable challenge when applied to road freight. Any consensus on the technology choice for road freight
[...] Read more.
Achieving net zero by 2050 requires the decarbonisation of road transport. Electrification is recognised as a market-ready solution for certain transport segments, but it still poses a considerable challenge when applied to road freight. Any consensus on the technology choice for road freight electrification has still not been established. Embedding stakeholder input in the approach to address the technology adoption challenge has proven useful in uncovering various perspectives, which can provide useful insights into managing such transitions. This review paper hence took a three-step approach where the findings from the initial step of the literature search were taken up for the second step of stakeholder validation and feedback. The third step involved an analysis of the input gathered and the subsequent literature review to arrive at the conclusions. The outcome from the stakeholder engagement suggests that any specific technology can only support the transition to electrified road freight if enabled by system changes around policy, infrastructure, user behaviour, and the societal setup A follow-up literature review validated the need for a sociotechnical approach to such transitions where system changes are involved. The review also found gaps in the literature when it comes to embedding such sociotechnical approaches to technology adoption for road freight transport.
Full article
Figure 1
Open AccessArticle
Battery State-of-Health Evaluation for Roadside Energy Storage Systems in Electric Transportation
Future Transp. 2023, 3(4), 1310-1325; https://doi.org/10.3390/futuretransp3040072 - 30 Nov 2023
Abstract
Battery health assessments are essential for roadside energy storage systems that facilitate electric transportation. This paper uses the samples from the charging and discharging data of the base station and the power station under different working conditions at different working hours and at
[...] Read more.
Battery health assessments are essential for roadside energy storage systems that facilitate electric transportation. This paper uses the samples from the charging and discharging data of the base station and the power station under different working conditions at different working hours and at different temperatures to demonstrate the decay of the battery health of a roadside energy storage system under different cycles. In this paper, for the first time, the predicted state-of-health values are obtained by extracting the characteristic quantities affecting the battery health based on three indicators: the internal resistance, the rate of change of voltage, and the change of temperature. Data on state of health are clustered by K-Means, GMM, K-Means++ and divided into high, medium, and low levels. Using a comparison of the three methods, GMM clustering appears to be the best at reflecting the charging and discharging capacity of the battery.
Full article
(This article belongs to the Topic Low Carbon Energy in Transportation)
►▼
Show Figures
Figure 1
Open AccessArticle
Analysis of Connected Vehicle Data to Quantify National Mobility Impacts of Winter Storms for Decision Makers and Media Reports
by
, , , , and
Future Transp. 2023, 3(4), 1292-1309; https://doi.org/10.3390/futuretransp3040071 - 09 Nov 2023
Abstract
►▼
Show Figures
Traditional techniques of monitoring roadway mobility during winter weather have relied on embedded road sensors, roadside cameras, radio reports from public safety staff, or public incident reports. However, widely available connected vehicle (CV) data provides government agencies and media with a unique opportunity
[...] Read more.
Traditional techniques of monitoring roadway mobility during winter weather have relied on embedded road sensors, roadside cameras, radio reports from public safety staff, or public incident reports. However, widely available connected vehicle (CV) data provides government agencies and media with a unique opportunity to monitor the mobility impact of inclement weather events in near real-time. This study presents such a use case that analyzed over 500 billion CV records characterizing the spatial and temporal impact of a winter storm that moved across the country from 21 to 26 December 2022. The analysis covered 97,000 directional miles of interstate roadway and processed over 503 billion CV records. At the storm’s peak on 22 December at 5:26 PM Eastern Time, nearly 4800 directional miles of interstate roadway were operating under 45 mph, a widely accepted indicator of degraded interstate conditions. The study presents a methodological approach to systematically assess the mobility impact of this winter event on interstate roadways at a national and regional level. The paper then looks at a case study on Interstate 70, a 4350 directional mile route passing through ten states. Statewide comparison showed Ohio was most impacted, with 9% of mile-hours operating below 45 mph on 23 December. High-Resolution Rapid Refresh weather data provided by the National Oceanic and Atmospheric Administration was integrated into the analysis to provide a visualization of the storm’s temporal path and severity. We believe the proposed metrics and visualizations are effective tools for communicating the severity and geographic impact of extreme weather events to broad non-technical audiences.
Full article
Figure 1
Open AccessArticle
Development of a “Smart Dry Port” Indicator and Ranking Calculation for Spanish Dry Ports
by
, , and
Future Transp. 2023, 3(4), 1272-1291; https://doi.org/10.3390/futuretransp3040070 - 08 Nov 2023
Abstract
►▼
Show Figures
The objectives set in the 2030 agenda gravitate towards the concept of sustainability, a concept that is closely related to the efficiency of port operations. As a direct derivative of the search for more efficient logistics and port operations, a disruption of new
[...] Read more.
The objectives set in the 2030 agenda gravitate towards the concept of sustainability, a concept that is closely related to the efficiency of port operations. As a direct derivative of the search for more efficient logistics and port operations, a disruption of new technologies, associated with the term ‘Smart’, is making its way with a large range of new digital applications. The logistics and port sector is also undergoing a process of transition towards this kind of operational intelligence through digitized and increasingly automated devices. In this work, an analysis of the most relevant Spanish dry ports is carried out, with the clear objective of discovering their degree of adaptation to the ideal Smart concept. This was developed through the implementation of a descriptive statistical analysis and a Delphi methodology, a battery of indicators and measurement variables that classify, in an integral and objective way, the degree of the adaptation of these ports to the concept of the ideal Smart Dry Port; in this way, we obtained a ranking of the ports. The current and future trend of this type of Smart facilities is solid and clearly points towards a greater digitalization of port processes and an openness of information, with port facilities interconnected with each other through automated processes. The analysis gives a clear picture of the adaptation to digitalization and automation of three of the largest Spanish dry ports, in which there are ongoing efforts to adapt to this concept but for which there is still a long way to go.
Full article
Figure 1
Open AccessSystematic Review
A Systematic Review of the Application of Road Safety Valuation Methods in Assessing the Economic Impact of Road Traffic Injuries
by
and
Future Transp. 2023, 3(4), 1253-1271; https://doi.org/10.3390/futuretransp3040069 - 07 Nov 2023
Abstract
►▼
Show Figures
Road traffic injuries (RTIs) are increasingly claiming lives, particularly of those living in low- and middle-income countries (LMICs). To evaluate the economic consequences of RTIs, their financial impact on Gross Domestic Product (GDP) has been investigated by several studies using road safety valuation
[...] Read more.
Road traffic injuries (RTIs) are increasingly claiming lives, particularly of those living in low- and middle-income countries (LMICs). To evaluate the economic consequences of RTIs, their financial impact on Gross Domestic Product (GDP) has been investigated by several studies using road safety valuation methods. This in turn has been used to quantify the resources required for investment on appropriate countermeasures to reduce the severity and frequency of RTIs. To investigate the frequency of use of road safety valuation methods in assessing the economic impact of road injuries, a robust systematic review was carried out with the aid of EPPI-reviewer software. The analysis of the evidence gathered showed that 55% of the included studies used the willingness-to-pay (WTP) method, 29% used human capital (HC), 11% used restitution cost and 5% used other methods. In high-income countries (HICs), the predominant method used was WTP, while HC was more common for middle-income countries. In addition, it was found that 49% of the studies in this field were conducted on HICs, whilst 4% focused on low-income countries (LICs). This indicates that there is a gap in the use of road safety valuation methods for LICs in the literature and therefore a need for further research.
Full article
Figure 1
Open AccessArticle
Identifying Barriers and Expectations in MaaS: Users’ and Stakeholders’ Perspective
Future Transp. 2023, 3(4), 1240-1252; https://doi.org/10.3390/futuretransp3040068 - 06 Nov 2023
Abstract
Mobility as a Service (MaaS) is an innovative urban mobility concept that aims to provide a competitive alternative to the use of private cars, by integrating various transportation services. Until today, limited MaaS schemes have been implemented and, in most cases, without succeeding
[...] Read more.
Mobility as a Service (MaaS) is an innovative urban mobility concept that aims to provide a competitive alternative to the use of private cars, by integrating various transportation services. Until today, limited MaaS schemes have been implemented and, in most cases, without succeeding to justify the hype. For achieving the goals of MaaS it is essential to capture holistically the expectations and barriers, as perceived by both the end-users and the various involved stakeholders. This paper aims to bridge this gap, by conducting two surveys in the city of Thessaloniki, Greece; the first survey targeted local authorities, organizations and mobility providers, while the second survey focused on (potential) end-users. The responses of stakeholders were analyzed through the Analytic Hierarchy Process (AHP) method, in order to identify the importance of barriers and expectations. On the other hand, the responses of end-users were analyzed statistically and two ordered logit models were developed for identifying the characteristics of those that are more likely to adopt MaaS. The results of the analyses indicate that there is a loop between MaaS and private car usage; on the one hand, the dominance of private cars hinders the adoption of MaaS, but on the other hand, MaaS can be a “tool” for encountering car domination. The results also enhance the idea that public transport is an essential component of MaaS.
Full article
Open AccessArticle
Efficiency Analysis of Tramways in the Metropolitan Areas in South Korea: Focusing on the Daejeon Metropolitan Area
Future Transp. 2023, 3(4), 1223-1239; https://doi.org/10.3390/futuretransp3040067 - 26 Oct 2023
Abstract
►▼
Show Figures
This study aims to present the meaningful implications of introducing a tramway as a new mode of transportation in the Daejeon Metropolitan Area, a major metropolitan area in South Korea. An efficiency comparison by data envelopment analysis (DEA) was carried out, using variables
[...] Read more.
This study aims to present the meaningful implications of introducing a tramway as a new mode of transportation in the Daejeon Metropolitan Area, a major metropolitan area in South Korea. An efficiency comparison by data envelopment analysis (DEA) was carried out, using variables selected from the 2021 Public Transportation Investigation by the Korea Transportation Safety Authority (KTSA) (2021), and the ‘Guidelines for selecting new transportation means’ announced by the Ministry of Land, Infrastructure, and Transport in 2021. As a result, the efficiency of public transportation in major metropolitan areas outside of the capital region was higher than in the capital metropolitan area. In particular, the Daejeon Metropolitan Area ranked high in efficiency compared to other major metropolitan areas with similar conditions. In the V-super efficiency results of the efficiency model based on the input of operational costs for each new mode of transportation, considering variable returns to scale (VRS), the bus rapid transit (BRT) ranked first, the tramway second, and the bimodal tram third. Regarding construction cost input, the tramway ranked first, the bimodal tram second, and BRT third.
Full article
Figure 1
Open AccessArticle
Investigating Runway Incursion Incidents at United States Airports
Future Transp. 2023, 3(4), 1209-1222; https://doi.org/10.3390/futuretransp3040066 - 13 Oct 2023
Abstract
According to the Federal Aviation Administration (FAA), the number of runway incursions is increasing. Over the last two decades, the number of runway incursions at U.S. airports has increased from 987 in 2002 to 25,036 in 2020. Runway incursions are a major threat
[...] Read more.
According to the Federal Aviation Administration (FAA), the number of runway incursions is increasing. Over the last two decades, the number of runway incursions at U.S. airports has increased from 987 in 2002 to 25,036 in 2020. Runway incursions are a major threat to aviation safety, causing major delays and financial consequences for airlines, as well as injury or death through incidents such as aircraft collisions. The FAA promotes the implementation of runway safety technology, infrastructure, procedural methods, alterations to airport layouts, and training practices to reduce the frequency of runway incursions. In this paper, the relationship between airport geometry factors, mitigating technologies, and the number of runway incursions at large hub airports in the United States was investigated using a random effects Poisson model for analyses of panel data. Airport operations data from the FAA Air Traffic Activity System, runway incursion data from the FAA Aviation Safety Information Analysis and Sharing System from 2002 to 2020, and airport geometry data created using airport geometry features from the FAA airport diagrams were collected. Thirty large hub airports with FAA-installed mitigating technologies were investigated. The model identified significant variables that correlate with runway incursions for large hub airport categories defined by the National Plan of Integrated Airport Systems (NPIAS). The model results indicate that airports with significant numbers of runway-to-runway intersection points increase runway incursion rates and mitigating technologies Runway Status Lights (RWSLs) and Airport Surface Detection Equipment, Model X (ASDE-X), can help reduce runway incursions at severity levels A and B.
Full article
(This article belongs to the Special Issue Emerging Issues in Transport and Mobility)
►▼
Show Figures
Figure 1
Open AccessArticle
The Impact of Pedestrian Distraction on Safety Behaviours at Controlled and Uncontrolled Crossings
Future Transp. 2023, 3(4), 1195-1208; https://doi.org/10.3390/futuretransp3040065 - 12 Oct 2023
Abstract
To investigate differences in the safety behaviours of distracted and non-distracted pedestrians crossing roads, an unobtrusive observational study was conducted in Leicestershire, UK. Video recordings were taken of 1409 pedestrians crossing roads at controlled and uncontrolled crossing sites, both on a university campus
[...] Read more.
To investigate differences in the safety behaviours of distracted and non-distracted pedestrians crossing roads, an unobtrusive observational study was conducted in Leicestershire, UK. Video recordings were taken of 1409 pedestrians crossing roads at controlled and uncontrolled crossing sites, both on a university campus and in urbanised town centre locations. On average, 42% of pedestrians were visibly distracted while crossing, and distracted pedestrians demonstrated significantly fewer safety behaviours than non-distracted pedestrians. They generally took longer to cross the road and made fewer looks towards the traffic environment, particularly at controlled crossings. Of all distraction activities, talking to another pedestrian had the most negative impact on safety behaviours. The findings highlight areas requiring further investigation, including distraction behaviours such as engaging with other pedestrians and supervising children. The results also identify that controlled crossings may benefit from targeted interventions to improve pedestrian safety.
Full article
(This article belongs to the Special Issue Emerging Issues in Transport and Mobility)
►▼
Show Figures
Figure 1
Open AccessArticle
A Methodology to Detect Traffic Data Anomalies in Automated Traffic Signal Performance Measures
Future Transp. 2023, 3(4), 1175-1194; https://doi.org/10.3390/futuretransp3040064 - 02 Oct 2023
Abstract
Automated traffic signal performance measures (ATSPMs) have garnered significant attention for their ability to collect and evaluate real-time and historical data at signalized intersections. ATSPM data are widely utilized by traffic engineers, planners, and researchers in various application scenarios. In working with ATSPM
[...] Read more.
Automated traffic signal performance measures (ATSPMs) have garnered significant attention for their ability to collect and evaluate real-time and historical data at signalized intersections. ATSPM data are widely utilized by traffic engineers, planners, and researchers in various application scenarios. In working with ATSPM data in Utah, it was discovered that five types of ATSPM data anomalies (data switching, data shifting, data missing under 6 months, data missing over 6 months, and irregular curves) were present in the data. To address the data issues, this paper presents a method that enables transportation agencies to automatically detect data anomalies in their ATSPM datasets. The proposed method utilizes the moving average and standard deviation of a moving window to calculate the z-score for traffic volume data points at each timestamp. Anomalies are flagged when the z-score exceeds 2, which is based on the data falling within two standard deviations of the mean. The results demonstrate that this method effectively identifies anomalies within ATSPM systems, thereby enhancing the usability of data for engineers, planners, and all ATSPM users. By employing this method, transportation agencies can improve the efficiency of their ATSPM systems, leading to more accurate and reliable data for analysis.
Full article
(This article belongs to the Special Issue Intelligent Transportation System and Road Infrastructure Design)
►▼
Show Figures
Figure 1
Open AccessArticle
Methodology for the Identification of Shock Wave Type and Speed in a Traffic Stream Using Connected Vehicle Data
Future Transp. 2023, 3(4), 1147-1174; https://doi.org/10.3390/futuretransp3040063 - 01 Oct 2023
Abstract
The concept of traffic shock waves was first theorized by Lighthill and Whitham in 1955. The identification of shock wave type and speed in a traffic stream provides critical information about the queue formation and its dissipation. This information can be utilized by
[...] Read more.
The concept of traffic shock waves was first theorized by Lighthill and Whitham in 1955. The identification of shock wave type and speed in a traffic stream provides critical information about the queue formation and its dissipation. This information can be utilized by various stakeholders for traffic management, emergency response, etc. Such information can also be integrated into the travel time prediction models and real-time route diversions for navigation. Past efforts at identifying shock waves used simulation or analysis based on location-based sensors such as loop detectors. This paper describes scalable methodologies for measuring shock wave propagation using Connected Vehicle (CV) data. The techniques to identify the six different types of shock waves are illustrated through case studies from Indiana highways that use both CV data and the corresponding surveillance camera images. The shock wave speeds for each event are estimated using the linear regression model, with most shock wave speed estimates having a coefficient of determination (R2) of 0.9 or better. Although shock wave speeds vary by traffic flow rates and geometry, the typical backward forming shock wave speeds ranged from 1.75 to 11.76 mph whereas the backward recovery shock wave speeds were observed to be between 5.78 and 16.54 mph. These techniques can be adapted for real-time use to assist traffic management centers with estimating upstream propagation and recovery time. A case study with a car fire is used to illustrate how this shock wave speed data can be used to frame discussions with first responders regarding how reducing incident clearance time can reduce the risk of secondary crashes.
Full article
(This article belongs to the Special Issue Feature Papers in Future Transportation)
►▼
Show Figures
Figure 1
Open AccessArticle
Comparing Enhanced Models for Evaluating the Economic Impact of Airports
by
, , , and
Future Transp. 2023, 3(3), 1124-1146; https://doi.org/10.3390/futuretransp3030062 - 20 Sep 2023
Abstract
Evaluating the economic impact of airports is crucial for understanding the benefits they bring to a region. However, when an area has more than one airport, it becomes essential to analyze each airport’s contribution to the local economy to make informed investment and
[...] Read more.
Evaluating the economic impact of airports is crucial for understanding the benefits they bring to a region. However, when an area has more than one airport, it becomes essential to analyze each airport’s contribution to the local economy to make informed investment and policy decisions. Thus, studying economic models that can distinguish each airport’s impact on the region’s economy becomes essential. In this context, this paper aims to compare three different approaches to determine the economic contributions of airports in a given region and identify their social and economic benefits. The International Civil Aviation Organization recommends using input–output analysis in this context. The study considered three weight factors for the input–output basic model: circular buffer, displacement time, and Huff’s gravitational model. The analysis was performed using the three largest airports in São Paulo state, Brazil, due to their proximity and influence on the surrounding areas. The models were compared based on their efficiency and accuracy in reflecting the reality of the case study context. The study identified the most suitable model for establishing correlations between investments made in airport infrastructure and the generation of gross domestic product, employment, and added value. This study fills a gap in the existing literature by proposing improvements to the methods for evaluating airports’ economic and social benefits. In recent times, airport investors, both in the government and private sectors, have become increasingly demanding in their need for accurate analyses before making investments. Therefore, the results of this paper will provide valuable insights into the benefits of investing in airport infrastructure and help policymakers and investors make informed decisions.
Full article
(This article belongs to the Special Issue Emerging Issues in Transport and Mobility)
►▼
Show Figures
Figure 1
Highly Accessed Articles
Latest Books
E-Mail Alert
News
Topics
Conferences
Special Issues
Special Issue in
Future Transportation
Feature Papers in Future TransportationGuest Editors: Ouri E. Wolfson, Shunde YinDeadline: 31 January 2024
Special Issue in
Future Transportation
Intelligent Transportation System and Road Infrastructure Design
Guest Editors: Chunhsing Ho, Li ZhaoDeadline: 30 April 2024
Special Issue in
Future Transportation
Emerging Issues in Transport and Mobility
Guest Editors: Andrew Morris, Jo BarnesDeadline: 30 June 2024
Special Issue in
Future Transportation
Machine Learning for Sustainable Planning and Modelling in Future Smart Transportation System
Guest Editors: Raj Mani Shukla, Lakshmi Babu-SaheerDeadline: 31 December 2024