ABSTRACT
In this scientific paper, the authors address the issue of mobility and the spread of COVID-19, as well as the impact of the COVID-19 pandemic and changes in the mobility of the population of the Czech Republic and Slovakia in 2020. The goal of the study is to determine whether the increase in the number of positive cases of COVID-19 and the associated increase in deaths influences changes in various categories of population mobility at the regional level in selected countries. The aim of the work is to empirically assess the impact of the first year of the pandemic on the mobility of the population. To achieve this, data on population mobility obtained from Google Statistics, together with information on the increase in the number of positive cases and the number of deaths caused by COVID-19 from both countries, were combined. The paper interprets and evaluates the results achieved, providing a picture of the course of the pandemic in the territories of the Czech Republic and Slovakia. © 2023 Jozef Majerčák et al.
ABSTRACT
The mobility sector accounts for about 10% of Italy's GDP, where the role of local Public Transport (PT) is crucial. Generally, PT use can limit the negative environmental impacts. However, with the advent of the recent pandemic, the local PT demand and mobility rate in Italy has decreased significantly, particularly during the lockdown period. Further restrictions were recently implemented (October - December 2021) on PT and on gathering areas to reduce potential contagion from virus variants. Such an uncertain situation has resulted in an epoch-making change in travel habits due to both the relevant restrictions for containing contagions (e.g., quotas of seats on-board, sanitization, use of masks) and the consequent psychosocial effects (e.g., anxiety, fear, and stress perceived by users when travelling). The present research assesses the PT use habits in the different pandemic phases. The data were collected from a sample of regular PT users in Sicily, Italy. The correlation analysis helped uncover significant factors responsible for influencing travel habits. The statistical analysis further revealed that the users travel habits have certainly changed during all the pandemic phases. The results lay the foundations for planning transport services and improving post-pandemic mobility in the examined context. © 2023 The Authors. Published by ELSEVIER B.V.
ABSTRACT
COVID-19 continues to threaten the world. Relaxing local travel behaviours on preventing the spread of COVID-19, may increase the infection risk in subsequent waves of SARS-CoV-2 transmission. In this study, we analysed changes in the travel behaviour of different population groups (adult, child, student, elderly) during four pandemic waves in Hong Kong before January 2021, by 4-billion second-by-second smartcard records of subway. A significant continuous relaxation in human travel behaviour was observed during the four waves of SARS-CoV-2 transmission. Residents sharply reduced their local travel by 51.9%, 50.1%, 27.6%, and 20.5% from the first to fourth pandemic waves, respectively. The population flow in residential areas, workplaces, schools, shopping areas, amusement areas and border areas, decreased on average by 30.3%, 33.5%, 41.9%, 58.1%, 85.4% and 99.6%, respectively, during the pandemic weeks. We also found that many other cities around the world experienced a similar relaxation trend in local travel behaviour, by comparing traffic congestion data during the pandemic with data from the same period in 2019. The quantitative pandemic fatigue in local travel behaviour could help governments partially predicting personal protective behaviours, and thus to suggest more accurate interventions during subsequent waves, especially for highly infectious virus variants such as Omicron.
ABSTRACT
The outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has caused an unparalleled disruption to daily life. Given that COVID-19 primarily spreads in densely populated indoor areas, urban public transport (UPT) systems pose significant risks. This study presents an analysis of the air change rate in buses, subways, and high speed trains based on measured CO2 concentrations and passenger behaviors. The resulting values were used as inputs for an infection risk assessment model, which was used to quantitatively evaluate the effects of various factors, including ventilation rates, respiratory activities, and viral variants, on the infection risk. The findings demonstrate that ventilation has a negligible impact on reducing average risks (less than 10.0%) for short-range scales, but can result in a reduction of average risks by 32.1%-57.4% for room scales. When all passengers wear masks, the average risk reduction ranges from 4.5-folds to 7.5-folds. Based on our analysis, the average total reproduction numbers (R) of subways are 1.4-folds higher than buses, and 2-folds higher than high speed trains. Additionally, it is important to note that the Omicron variant may result in a much higher R value, estimated to be approximately 4.9-folds higher than the Delta variant. To reduce disease transmission, it is important to keep the R value below 1. Thus, two indices have been proposed: time-scale based exposure thresholds and spatial-scale based upper limit warnings. Mask wearing provides the greatest protection against infection in the face of long exposure duration to the omicron epidemic.
ABSTRACT
The mobility sector accounts for about 10% of Italy's GDP, where the role of local Public Transport (PT) is crucial. Generally, PT use can limit the negative environmental impacts. However, with the advent of the recent pandemic, the local PT demand and mobility rate in Italy has decreased significantly, particularly during the lockdown period. Further restrictions were recently implemented (October - December 2021) on PT and on gathering areas to reduce potential contagion from virus variants. Such an uncertain situation has resulted in an epoch-making change in travel habits due to both the relevant restrictions for containing contagions (e.g., quotas of seats on-board, sanitization, use of masks) and the consequent psychosocial effects (e.g., anxiety, fear, and stress perceived by users when travelling). The present research assesses the PT use habits in the different pandemic phases. The data were collected from a sample of regular PT users in Sicily, Italy. The correlation analysis helped uncover significant factors responsible for influencing travel habits. The statistical analysis further revealed that the users travel habits have certainly changed during all the pandemic phases. The results lay the foundations for planning transport services and improving post-pandemic mobility in the examined context. © 2023 The Authors. Published by ELSEVIER B.V.
ABSTRACT
Gender equality is a fundamental human right and is part of one of the goals of the 2030 Agenda (Goal 5), which promotes a more equitable and sustainable way of life. A gender imbalance still exists in the transport sector. Over the years, the reasons why women travel have changed, as have their modal preferences, thanks to the introduction of concessions (pink parking, pregnant seats) but also thanks to the introduction of new forms of mobility and multimodality. However, several works in the literature point out that women's journeys are in many cases more difficult than those of men because there are several factors that influence this imbalance. The recent COVID-19 pandemic has contributed to a widening this gap. Through the administration of an online questionnaire, it was possible to find data regarding socio-demographic characteristics, travel habits and finally to analyze the main problems and feelings (feeling of safety on board, perception of a possible contagion and overall evaluation of gender equity both as passengers and as drivers of vehicles) related to the different modes of transport present in the Sicilian context. A statistical comparison of the results was defined considering the different pandemic phases from January 2020 to December 2021. The results show the basis for a better mobility planning starting from the resolution of the COVID-19 crisis that represents an opportunity to change the status quo. © 2023 The Authors. Published by ELSEVIER B.V.
ABSTRACT
Public Transport (PT) extremely suffered from the Covid-19 pandemic. While trying to guarantee the service supply as regularly as possible, great efforts have been made by Transport Companies to deal with constantly changing emergency prescriptions. Moreover, overall uncertainty led to a sharp shift in travel behaviors and habits, resulting in a general increase in private (especially motorized) modes. Over the past months, a lot of research has tried to investigate the several perspectives for the PT sector, during and beyond the Covid-19, by accounting for e.g., new technologies, innovative service supply or transport modes, etc. which have been implemented overtime. However, after two-years from the Covid-19 outbreak, the transport demand is still not back to the pre-pandemic situation. Considering the trends of the past two-years, this paper aims at exploring how the transport demand has varied, with respect to the Covid-19 impact, the safety prescriptions, and the PT service supply, to shed light over still unobserved factors that may be useful to move forward. By considering the area of Brescia as a case study, the analysis compares the transport demand from the different urban PT systems (i.e., buses, metro light rail and bike sharing) of Brescia with the related service supply (i.e., kms-travelled, service availability, etc.), the Covid-19 infections, the service limitations (i.e., lockdowns, vehicle capacity reductions, etc.), to understand whether relationships exist among the several variables included. It emerged that the progressive easing of restrictions, the enhancements of intermodal transport system and the improvement of service's quality could have contributed to recovery transport demand. Future developments of the research could be addressed to extend the available database to confirm or improve the research findings. © 2023 The Authors. Published by ELSEVIER B.V.
ABSTRACT
Public transport disruptions caused by the COVID-19 pandemic had wide-ranging impacts on the ability of individuals to access health care. Individuals with opioid use disorder represent an especially vulnerable population due to the necessity of frequent, supervised doses of opioid agonists. Focused on Toronto, a major Canadian city suffering from the opioid epidemic, this analysis uses novel realistic routing methodologies to quantify how travel times to individuals\220 nearest clinics changed due to public transport disruptions from 2019 to 2020. Individuals seeking opioid agonist treatment face very constrained windows of access due to the need to manage work and other essential activities. We find that thousands of households in the most materially and socially deprived neighbourhoods crossed 30 and 20-minute travel time thresholds to their nearest clinic. As even small changes to travel times can lead to missed appointments and heighten the chances of overdose and death, understanding the distribution of those most impacted can help inform future policy measures to ensure adequate access to care.
Subject(s)
COVID-19 , Drug Overdose , Opioid-Related Disorders , Humans , Analgesics, Opioid/therapeutic use , COVID-19/epidemiology , Opioid Epidemic , Pandemics , Canada , COVID-19 Drug Treatment , Opioid-Related Disorders/epidemiology , Opioid-Related Disorders/drug therapy , Drug Overdose/epidemiology , Drug Overdose/drug therapyABSTRACT
Until recently, addressing the environmental externalities associated with the use of the private car and single occupancy vehicles has been the focus of the airport ground access policies worldwide. However, with the emerging unprecedented challenges of the COVID-19 pandemic, which have already changed the way we live, work, and travel, encouraging a change in commuter behavior has become even more important. This has necessitated that existing strategies be reconsidered in favor of adapting to a highly uncertain ‘‘COVID-19 world.'' Historically, there has been a dearth of literature relating to airport employees' ground access even though as a group employees represent an important segment of airport users with complex access requirements. This paper therefore focuses on airport employee related airport ground access strategies considering an emerging understanding of the future impacts of COVID-19 on global air travel. Pre-COVID strategies are investigated by conducting a documentary analysis of the most recent ground access strategies of 27 UK airports. The findings reveal that airport ground access strategies were mainly focused on setting targets and producing policy measures in favor of reducing car use and increasing the use of more sustainable transport modes including public transport, car sharing, and active travel (walking, cycling). However, measures encouraging public transport and car sharing will be more difficult to implement because of social distancing and fear of proximity to others. Instead, initiatives encouraging remote working, active travel, and improved staff awareness will be at the forefront of the future ground access strategy development. © National Academy of Sciences: Transportation Research Board 2021.
ABSTRACT
The COVID-19 pandemic has not just prompted the widespread deceleration and halting of human movement, but also reconfigured enduring mobilities. This visual essay examines work commutes on Tokyo's urban railway system as an example of an urban mobility practice that partially withstood the immobilizing effect of the pandemic. Combining text and comic-style drawings, it explores the viral transformation of passenger practices and experiences during Tokyo's first "state of emergency” (April–May 2020) to ask how passengers on one of the world's busiest urban railway systems learned to move with viral risk in a city that refrained from imposing official mobility restrictions. The essay introduces the notion of anxious mobilities to highlight how mobility experiences and practices in pandemic cities came to be characterized by a sense of unease. It calls attention to undulating processes of (de)sensitization to risk that mobile subjects may undergo when movement becomes associated with danger.
ABSTRACT
To prevent the pandemic spread of human-to-human transmitted diseases such as COVID-19, governments commonly resort to countrywide or regional lockdown strategies. Such lockdowns, whenever and wherever implemented, curtail the movement of persons and vehicles, and drastically alter traffic conditions. This study focuses on the effect of drastic and sudden changes in the traffic conditions, during the COVID-19 lockdown in the State of Maharashtra in India, in March-June 2020, on the numbers of motor vehicle accidents (MVAs), and the resultant fatalities and injuries. Content analysis of police-reported first information reports (FIRs) of MVAs is performed, and these lockdown trends are compared with archival data from corresponding previous (normal) periods. The statistical analysis shows that, during the lockdown, while the total number of MVAs fall drastically, they are more severe and have a much higher fatality rate per MVA. Also, the pattern of vehicles involved in MVAs, and resultant pattern of fatalities, also changes during lockdowns. The paper explores the reasons for these changed patterns and provides suggestions to reduce these negative externalities of pandemic related lockdowns.
ABSTRACT
This article analyzes the influence of ride-sourcing in reducing demand on public transportation systems among university students in the Metropolitan Region of Recife before and during the COVID-19 pandemic. The literature points out that, depending on the local context, the relationship between public transport and ride-sourcing can be one of competition or complementation. Because the pandemic's reality has had a significant impact on urban mobility, we sought to comprehend its implications in this context. The model chosen was logistic regression. A questionnaire via the web obtained 404 valid interviews. The results indicate that there was a reduction in the use of both modes during the pandemic, with the public system being considerably higher. The main reason for the use of public transport shifted from study to work, while in ride-sourcing it was no longer leisure. Higher education, the availability of a driving license, and higher income reduce the chances of using public transportation. Being formally employed and attending class personally positively influences the use of ride-sourcing. Public transportation was the most cited as a substitute in the case of unavailability of ride-sourcing and vice-versa. If ride-sharing transportation did not lead to the desired destination, public transportation was the preferred complementary mode. It was concluded that the effects of competition were stronger.
ABSTRACT
The basis for developing logistics solutions in cities is to know the requirements and expectations of current and potential transport users and for decision makers to strive to meet them. In building an urban logistics strategy, it is therefore necessary to take into account different stakeholder groups. Building stakeholder relations should be aimed at involving them in the development of a sustainable transport policy for the city. It should be noted, however, that the importance of stakeholders in transport policy is diverse. This assumption was made in the paper, which aimed to identify the role of the various groups of urban logistics stakeholders in the sustainable movement of people. This challenge is subordinated to the methodology proposed in the paper, which combines the analysis of urban logistics stakeholders and the assignment of roles to them in the pursuit of sustainable flows of people in the city with the identification of tasks in which stakeholders characterized by a particular role should be involved. Achieving the stated goal required collaboration with experts. Research on the roles of stakeholders, as well as the tasks in which they should be involved, was conducted in Polish cities. Infrastructure managers, small mobility organisers, public safety organisations and public transport organisations turned out to be the development leaders who, as a result, were recommended to be included in most tasks by local government units of Polish cities. What deserves special attention in the results obtained, on the other hand, is the role of the unpredictable main player, which is other cities.
ABSTRACT
The SARS-CoV-2 pandemic has had a significant impact on rail operations worldwide. Adopting control measures such as a 50% occupancy rate can contribute to a safer travel environment, though at the expense of operational efficiency. This paper addresses the issues of social distancing and revenue maximization for a train operating company in a post-pandemic world. Although the two objectives appear to be highly contradictory, we believe that judicious planning can optimize both to a great extent. Existing research on social distancing on public transport has only considered the risk of virus transmission during travel. This is the first attempt to recognize the risk of virus spread in different cities along with transmission risk as part of developing a social distancing plan. We study the problem of assigning seats to passenger groups on long-distance trains while ensuring social distancing within coaches. A novel seating assignment policy is proposed that takes into account several factors that govern the spread of virus. In an effort to reduce the spread of the virus and improve revenue simultaneously, a mixed-integer programming (MIP) model is proposed to assign seats to passengers. Several families of valid inequalities and preprocessing steps are proposed to strengthen the MIP formulation, which represents a substantial contribution to the literature on group seat assignment problem. The validity of the model and the effectiveness of the valid inequalities have been evaluated using real-life data from Indian Railways. The computational results demonstrate a significant reduction in the risk of contagion and an increase in seat utilization compared to the current approach employed by operators.
ABSTRACT
In order to encourage the use of public transportation, it is necessary to make it more appealing to commuters by conducting frequent Service Quality (SQ) evaluations and modifications. Understanding passengers' expectations of public transportation are important, and evaluating the SQ is an essential tool for assessing the overall performance of the public transportation system. The purpose of the present study was to examine the expectations and perceptions of core passengers regarding SQ in public bus transportation. By surveying 598 passengers in rural public transportation in India, the study results are illustrated and further discussed to guide possible bus SQ improvements in rural areas. In addition, the impact of these expectations and perceptions on satisfaction levels of rural public bus transportation services are explored by applying the Interval-Valued Pythagorean Fuzzy (IVPF). The outcomes of the survey indicated significant disparities among expectations and perceptions of passengers, as well as widespread dissatisfaction with the delivery of bus services in rural areas as a whole. The dependability and adaptiveness of the bus service have been critical in describing the overall quality of bus services in rural areas, and best practices from around the world were used to develop a set of recommendations for transportation operators and local officials. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
ABSTRACT
The COVID-19 pandemic has left scars on the Indian public transportation system. In order to regain its original momentum, policymakers will need to assess the barriers hindering the effectiveness of the public transportation sector. In this regard, this article analyzes the various factors affecting the public transportation sector in India and determines their interrelationships. The research is presented in three steps. First, we review the literature to identify the factors that affect the public transportation system in India. Next, we propose an integrated model of grey-DEMATEL and ANP, grey-DANP, to calculate the priority ranking and weight of the factors. The grey-DEMATEL method is used to find the interrelationships among the factors, while ANP determines the local and global weights of the factors to form a priority order. Then, we present the interrelationships in the form of influential relation maps. Furthermore, we provide a sensitivity analysis to enhance the credibility of our study. The paper reveals that governmental regulations are the most influential factors in India's public transportation system. The transportation authorities and policymakers must also focus on improving the financial stability and enhancing the customer's trust in the public transportation system. The framework provided in this paper can be applied to other countries where similar hindrances in the public transportation system have been caused by COVID-19. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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We have examined how COVID-19 impacted travel behaviour for people with psychosocial disabilities, identified key barriers when using public transport, and examined how a broad understanding of universal design can be used to improve travel for people with psychosocial disabilities. During and after the pandemic, most informants travelled less and/or used their car more than before. Some stopped using public transport due to fear of contamination, while others found it easier to travel during the pandemic due to less crowding. Use of facial masks were perceived by some as an additional problem increasing anxiety, while others found it more problematic with fellow passengers not wearing masks. In general, findings support prior studies in terms of barriers related to crowding, lack of seamlessness, financial issues, problems with staff, lack of access in rural areas, and low knowledge of support systems. Additionally, lack of toilet facilities, negative experiences with other passengers, sensory overload, travel-induced fatigue, and problems related to planning are considered problematic. Station areas may pose a barrier for people with former drug addictions. Hence, universal design should include the social and organisation environments, in addition to physical design, in terms of making the transport system accessible to everyone. © 2023 The Author
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COVID-19 is one of the deadliest pandemics of this century's that affected the whole world. As the COVID-19 spread the government had to impose lockdown that pushed the people to follow some new lifestyle like social distancing, work from home, hand washing, and the country have to shut down industries, businesses and public transport. At the same time, doctors were occupied in saving life's and on other side cyber criminals were busy taking this situation as advantage, which creates an another silent pandemic i.e. cyber-security pandemic. During this pandemic with overloaded ICT infrastructure, cyber space was gaining attention of more cyber attacker and number of attacks/threats increased exponentially. This is one of the rapidly growing global challenges for industry as well as for human life. In this paper a systematic surveys and review is done on recent trends of cyber security attacks during and post COVID-19 pandemic and their countermeasures. The relevant information has been collected from different trusted sources and impact landscape discussed with importance of cyber security education and future research challenges highlights. © 2023 IEEE.
ABSTRACT
University students are regarded as a readily available market segment for public transport. In Hanoi, as elsewhere, they constitute a large portion of bus passengers. However, one portion has been quitting buses, and the reasons were so far unknown. Nor was it clear whether they planned on retuning. Through a survey of more than 800 students in seven higher education institutions, this study aimed to find the answers to these questions. The study revealed that bus ridership was determined by socio-demographic variables (year of studies, household income, employment status, motorcycle ownership), environmental variables (home-university distance), and psychological variables (convenience, bus staff behaviour, risk of sexual harassment, reliability and health, image and status). A negative disruptor such as the fear of Covid-19 infection had little effect on the decision to continue riding buses. Meanwhile, the prospect of riding 'clean and green' electric buses, which were introduced in a pilot program, was a positive disruptor that may lead a portion of students to return to public transport.
ABSTRACT
Travellers may be exposed to a wide range of different air pollutants during their journeys. In this study, personal exposures within vehicles and during active travel were tested in real-world conditions across nine different transport modes on journeys from London Paddington to Oxford City Centre, in the United Kingdom. The modes tested covered cycling, walking, buses, coaches, trains and private cars. Such exposures are relevant to questions of traveller comfort and safety in the context of airborne diseases such as COVID-19 and a growing awareness of the health, safety and productivity effects of interior air quality. Pollutants measured were particle number (PN), particle mass (PM), carbon dioxide (CO2) and speciated volatile organic compounds (VOCs), using devices carried on or with the traveller, with pumped sampling. Whilst only a relatively small number of journeys were assessed—inviting future work to assess their statistical significance—the current study highlights where a particular focus on exposure reduction should be placed. Real-time results showed that exposures were dominated by short-term spikes in ambient concentrations, such as when standing on a train platform, or at the roadside. The size distribution of particles varied significantly according to the situation. On average, the coach created the highest exposures overall;trains had mixed performance, while private cars and active transport typically had the lowest exposures. Sources of pollutants included both combustion products entering the vehicle and personal care products from other passengers, which were judged from desk research on the most likely source of each individual compound. Although more exposed to exhaust emissions while walking or cycling, the active traveller had the benefit of rapid dilution of these pollutants in the open air. An important variable in determining total exposure was the journey length, where the speed of the private car was advantageous compared to the relative slowness of the coach. © 2023 by the authors.