ABSTRACT
The COVID-19 pandemic resulted in significant social and economic impacts throughout the world. In addition to the health consequences, the impacts on travel behavior have also been sudden and wide ranging. This study describes the drastic changes in human behavior using the analysis of highway volume data as a representation of personal activity and interaction. Same-day traffic volumes for 2019 and 2020 across Florida were analyzed to identify spatial and temporal changes in behavior resulting from the disease or fear of it and statewide directives to limit person-to-person interaction. Compared to similar days in 2019, overall statewide traffic volume dropped by 47.5%. Although decreases were evident across the state, there were also differences between rural and urban areas and between highways and arterials both in terms of the timing and extent. The data and analyses help to demonstrate the early impacts of the pandemic and may be useful for operational and strategic planning of recovery efforts and for dealing with future pandemics.
ABSTRACT
The global outbreak of coronavirus disease 2019 (COVID-19) has affected the urban mobility of nations around the world. The pandemic may even have a potentially lasting impact on travel behaviors during the post-pandemic stage. China has basically stopped the spread of COVID-19 and reopened the economy, providing an unprecedented environment for investigating post-pandemic travel behaviors. This study conducts multiple investigations to show the changes in travel behaviors in the post-pandemic stage, on the basis of empirical travel data in a variety of cities in China. Specifically, this study demonstrates the changes in road network travel speed in 57 case cities and the changes in subway ridership in 26 case cities. Comprehensive comparisons can indicate the potential modal share in the post-pandemic stage. Further, this study conducts a case analysis of Beijing, where the city has experienced two waves of COVID-19. The variations in travel speed in the road network of Beijing at different stages of the pandemic help reveal the public's responses towards the varying severity of the pandemic. Finally, a case study of the Yuhang district in Hangzhou is conducted to demonstrate the changes in traffic volume and vehicle travel distance amid the post-pandemic stage based on license plate recognition data. Results indicate a decline in subway trips in the post-pandemic stage among case cities. The vehicular traffic in cities with subways has recovered in peak hours on weekdays and has been even more congested than the pre-pandemic levels;whereas the vehicular traffic in cities without subways has not rebounded to pre-pandemic levels. This situation implies a potential modal shift from public transportation to private vehicular travel modes. Results also indicate that commuting traffic is sensitive to the severity of the pandemic. This may be because countermeasures, e.g., work-from-home and suspension of non-essential businesses, will be implemented if the pandemic restarts. The travel speed in non-peak hours and on non-workdays is higher than pre-pandemic levels, indicating that non-essential travel demand may be reduced and the public's vigilance towards the pandemic may continue to the post-pandemic stage. These findings can help improve policymaking strategies in the post-pandemic new normal. © 2023 American Society of Civil Engineers.
ABSTRACT
The economy of the Republic of Croatia is dependent on the tourism industry. The current crisis in the global tourism market, caused by the Covid 19 pandemic, has highlighted the impor-tance of the domestic market for the survival of tourism and the Croatian economy as a whole. Therefore, the purpose of this paper is to determine the consumer habits of domestic tourists, fo-cusing on the characteristics of travel, motivation and behavioural intentions and co-creation of the tourist experience to better understand the behaviour of tourists. The paper is based on an empirical study conducted on a sample of domestic tourists. The research results show that the majority of tourists organize their own travel and that the main source of information for them is the Internet. The most common reasons for traveling are rest and relaxation, fun and new experiences. Using cluster analysis, three segments of domestic tourists were identified (Youth, Couples and Families with Children), and differences were found among them in terms of travel characteristics, travel motivation, behavioural intentions, degree of tourists' involvement in travel preparation, and degree of co-creation of the tourist experience. The paper contributes to the understanding of motives and behavioural patterns of domestic tourists. The research findings can be used by marketing manag-ers in travel agencies and tourist destinations to better address the needs of domestic tourists.
ABSTRACT
Many measures have been imposed by governments around the world to limit the spread of COVID-19. Iraqi authorities adopted a continuous cycles of reinforcement and relaxation in the measures, thus travel behaviors are significantly affected as a result of these measures. This study focuses on the impact of the COVID-19 pandemic on travel pattern in Al-Qadisiyah governorate, Iraq, during three different phases, one phase before pandemic and two phases during the pandemic to study the impact of the variation in imposed measures. Data were collected through a qualitative interviews and online questionnaire surveys that included questions on primary purpose of trip, mode choice of transport, frequency of trips before and during pandemic (including two phases). Descriptive analysis and inferential statistical analysis (especially nonparametric tests) were conducted to analyze the collected data. Results show a significant shifting from work/studying trips to shopping and others trips purposes during the first phase, where distance education and teleworking were imposed. In the second phase, the recommendation for work and study from home were lifted thus the primary trips for work or study purposes have resumed somewhat like their previous pace but with less frequent than its usual in pre-pandemic. A significant reduction in public transport and car-sharing usage was observed during first phase-COVID-19 compared to pre-COVID-19 and second phase-COVID-19. People gave the pandemicrelated factors a higher priority than general factors when selecting a transport mode during the pandemic. However, they put less priority for such factors during second phase of COVID-19 as compared to first phase, due to relaxation in the imposed measures. Changes in travel behavior during a pandemic have an impact on travel demand and favorable transport modes, thus understanding this behavior can help in transportation planning, and decision-making. © 2023 WITPress. All rights reserved.
ABSTRACT
The study examines Malaysian airline passengers' travel behaviour and perceptions during the endemic Covid-19 after Malaysia re-opened the border. People are free to do an activity, especially travelling by aeroplane. Data were collected through an online platform in 2023. 390 data were obtained and used for the analysis. Findings reveal that 86.15% of Malaysian have travelled by aeroplane since the endemic, and 14.10% have travelled more than five times. 54.44% strongly agree they will avoid travelling with aircraft because of a few personal issues. In addition, results revealed a significant change in passengers' behaviour and perception when travelling after the hit of Covid-19 worldwide.
ABSTRACT
This article assesses the impact of the COVID-19 outbreak on the urban motorcycle taxi (MCT) sector in Sub-Saharan Africa (SSA). MCToperators in SSA provide essential transport services and have shown ingenuity and an ability to adapt and innovate when responding to different challenges, including health challenges. However, policymakers and regulators often remain somewhat hostile toward the sector. The article discusses the measures and restrictions put in place to reduce the spread of COVID-19 and key stakeholders' perspectives on these and on the sector's level of compliance. Primary data were collected in six SSA countries during the last quarter of 2020. Between 10 and 15 qualitative interviews with key stakeholders relevant to the urban MCT sector were conducted in each country. These interviews were conducted with stakeholders based in the capital city and a secondary city, to ensure a geographically broader understanding of the measures, restrictions, and perspectives. The impact of COVID-19 measures on the MCT and motor-tricycle taxi sector was significant and overwhelmingly negative. Lockdowns, restrictions on the maximum number of passengers allowed to be carried at once, and more generally, a COVID-19-induced reduction in demand, resulted in a drop in income for operators, according to the key stakeholders. However, some key stakeholders indicated an increase in MCT activity and income because of the motorcycles' ability to bypass police and army controls. In most study countries measures were formulated in a non-consultative manner. This, we argue, is symptomatic of governments' unwillingness to seriously engage with the sector. © National Academy of Sciences: Transportation Research Board 2021.
ABSTRACT
Since the COVID-19 outbreak, consumer behavior has been affected by the perceived threat of the pandemic and economic uncertainty. This paper aims to explore the dynamic effects of COVID-19, consumer sentiment, economic policy uncertainty, and fuel prices on travel behavior in the United States. Using updated daily trip data, the results show that consumer sentiment has a positive long-run impact on travel demand for air and auto, suggesting that a positive change in consumer sentiment can boost demand for these modes of transportation in the long term. Additionally, consumer sentiment has a favorable effect (1.34) on demand for long-distance trips, but it has a negative impact (-0.42) on the number of people staying at home. Economic and political shocks have a detrimental impact on demand for air and auto travel, suggesting that consumers reduce the frequency and cost of these transport services if they have pessimistic expectations about the future state of the economy and policy. However, in the short term, US travelers appear to be insensitive to shocks in consumer sentiment and economic policy uncertainty. Regarding the perceived threat of the pandemic, the results indicate that rising COVID-19 cases have a negative long-term effect on demand for air travel (-0.09) and public transit (-0.19), while they are positively associated with demand for auto travel (0.06). Similarly, the increasing number of deaths due to COVID-19 has led to a shift from shared-use mass transportation (air travel and public transit) to private autos and non-motorized travel, such as walking in the short term.
ABSTRACT
The paper reports evidence related to peoples' perceptions and attitude during the early stages of COVID-19 related lockdown in India in four major aspects: strategies and preventive measures, long-distance travel, essential services, and post-lockdown travel. A five-stage survey instrument was designed and circulated through various online modes to make it convenient to the respondents and also to achieve a greater geographical coverage within a short period of time. The survey responses were analyzed using statistical tools and the results are translated into potential policy recommendations which may be useful to implement effective interventions during future pandemics of similar nature. The findings highlight a high rate of awareness among the people about the COVID-19, lack of supply of protective equipment such as masks, gloves, and personal protective equipment kits during the early stage of lockdown in India. However, several heterogeneities were also observed across a few socio-economic groups which emphasize the need for targeted campaigns in a diverse country such as India. The findings also suggest the need for arranging safe and hygienic long-distance trips for a section of the society when such lockdown measures are extended for long periods. The observations related to mode choice preferences during the post-lockdown recovery period indicate a potential shift of public transport patronage to the personal modes.
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 research examines the impacts of COVID-19 on the mobility of resource-poor women and its linkage with livelihoods in urban South Asia, and how gender-responsive transport measures could be adopted. The study, conducted in Delhi between October 2020 and May 2021, used a mixed methods, multi-stakeholder, and reflexive approach. A literature review was conducted on the gender and mobility context in Delhi, India. Quantitative data were collected through surveys with resource-poor women, while qualitative research methods consisted of in-depth interviews with them. Different stakeholders were engaged through round tables and key informant interviews before and after data collection to share the findings and recommendations. The sample survey (n = 800) revealed that only 1.8% of working resource-poor women have access to a personal vehicle, making them dependent on public transport. While 81% of their trips are by bus, 57% of their peak hour trips are by paratransit, despite free travel on buses. Only 10% of the sample have access to a smart phone, which restricts their access to digital initiatives based on smart phone applications. The women expressed concerns such as poor bus frequencies and buses not stopping for them under the free ride scheme. These were consistent with issues faced before the COVID-19 pandemic. These findings highlight the need for targeted strategies for resource-poor women to achieve equity in gender-responsive transport. These include a multimodal subsidy, short messaging service to obtain real-time information, increased awareness on filing complaints, and an effective grievance redressal system.
ABSTRACT
This empirical study aims to study the seismic shift in the post-COVID travel behaviour of Indian tourists due to demographic variables. Secondly, it analyzes the effects of travel restrictions on tourists' travel plans. This study is based on primary data, a systematic literature review, and experts' opinions on the tourism area. A web-based and offline survey was done using the purposive and snowball sampling techniques. Furthermore, the data were analyzed using descriptive analysis, exploratory factor analysis, an independent t-test, and the analysis of variance technique. The data analysis revealed stunning results, where no significant difference was found in the travellers' behaviours according to their gender and marital status. However, the travellers' age, education, occupation, annual family income, and purpose of travel greatly influence their travel behaviour. It was found that travel restrictions significantly impacted the travel plans of the travellers, and travellers did not want to resume travelling for at least six months. Travellers postponed and sometimes cancelled their travel plans till they could find some safe options for travel. To overcome this situation, travel suppliers can customize their products to tourists' "new " behaviour, focusing on respective demographic variables and the effects of travel restrictions on their travel plans following the age of acceleration. Yet, the small sample size of the study would limit the generalization of this research. Further, this study may be conducted in other industries, such as retail, to identify consumer post-COVID purchasing behaviour changes.
ABSTRACT
The transport behaviour of Lodz residents with a view to constructing a balanced traffic model to include both private and public transport is examined in this paper. A survey was conducted among 6,000 Lodz citizens using mixed-mode techniques: CAWI and CATI: respondents were asked to complete a travel log for the previous day and the previous Sunday. This served as a basis for further analyses, performed with PTV simulation software, following a four-step model. The main results of the study are presented, including the mobility rate of Lodz residents, the motivations and duration of journeys, and the division of transport tasks into workdays and Sundays, indicating that a higher private carload is typical for home-other and other-home trips on Sundays compared to working days. The number of home to work and work-home trips via private cars is higher for working days compared to Sundays. Furthermore, the simulated traffic load of the public transport system is much higher for working days compared to Sundays. A higher percentage of non-motorised trips and longer trip duration are found to be common for Sundays as well.
ABSTRACT
In China, a developing country, the car ownership level is much lower than that in developed countries, but transportation policies have been implemented to discourage car ownership and mitigate traffic congestion. However, car ownership (considered as car availability in this paper, meaning that an individual has access to a household private car) may influence travelers' well-being. To highlight the interrelation between car ownership and travelers' well-being, this paper develops a probit-based discrete-continuous model to analyze the relationship between car ownership and the duration of commuters' three major non-work outdoor activities (Act1: shopping and dining;Act2: leisure and entertainment;and Act3: visiting relatives or friends) in Xiaoshan District, Hangzhou, China. Empirical results indicate strong effects of individual and household socio-demographics, built environment attributes, and work-related characteristics on the car ownership decision and the duration of three non-work activities. The analysis shows positive correlations in unobserved factors between the car ownership decision and the duration of Acts1-3, indicating a mutually promotive relationship. Similarly, negative correlations among the duration of Acts1-3 show that non-work activities' duration is mutually substitutive. These findings will help to better understand commuters' car ownership decisions and non-work outdoor activity behavior restricted by fixed work schedules in developing countries, which can, in turn, better evaluate the impact of transportation policies (such as car ownership restriction) on travel demand as well as well-being, and provide decision support for the formulation of transportation policies.
ABSTRACT
Teleworking (i.e., working from home), with the aid of teleworking technologies, became widespread over the world as an impact of COVID-19. The long-term impact of teleworking in the future on commuting and social equity is discussed by the experts. However, less attention has been paid to the factors that are associated with people's choice to start teleworking for the first time or existing teleworkers' choice to increase the current frequency. This study investigates the changes in preference for teleworking frequency in the post-pandemic era. From a survey of 301 respondents in New York City, respondents are split into three categories. These are (1) previous teleworkers who do not want to increase their teleworking frequency, (2) previous teleworker who want to increase their frequency (i.e., extended teleworker), and (3) previous non-teleworker who wants to start teleworking (i.e., prospective teleworker) as the city reopens. A multinomial logit model is used to predict these categories with the help of several sociodemographic, household, geographic, travel behavioral, and attitudinal characteristics of the respondents. The model suggests that younger people and non-Hispanic people are more likely to extend or start teleworking than their counterparts. Females, Blacks, low-income people, and people with a child under five years are more likely to start teleworking while their counterparts (i.e., males, non-Blacks, high-income people, and people with a child under five) are more inclined towards extending teleworking. More work-trip makers and public transit users (for grocery) have less probability to extend teleworking. People with more pro-street and pro-out-migration attitudes and less pro-safety attitudes are more interested in starting or extending teleworking. The findings help targeted investment for post-pandemic accessibility, travel demand management, and energy efficiency.
ABSTRACT
The study examines Malaysian airline passengers' travel behaviour and perceptions during the endemic Covid-19 after Malaysia re-opened the border. People are free to do an activity, especially travelling by aeroplane. Data were collected through an online platform in 2023. 390 data were obtained and used for the analysis. Findings reveal that 86.15% of Malaysian have travelled by aeroplane since the endemic, and 14.10% have travelled more than five times. 54.44% strongly agree they will avoid travelling with aircraft because of a few personal issues. In addition, results revealed a significant change in passengers' behaviour and perception when travelling after the hit of Covid-19 worldwide.
ABSTRACT
The unprecedented COVID-19 outbreak has significantly influenced our daily life, and COVID-19's spread is inevitably associated with human mobility. Given the pandemic's severity and extent of spread, a timely and comprehensive synthesis of the current state of research is needed to understand the pandemic's impact on human mobility and corresponding government measures. This study examined the relevant literature published to the present (March 2023), identified research trends, and conducted a systematic review of evidence regarding transport's response to COVID-19. We identified key research agendas and synthesized the results, examining: (1) mobility changes by transport modes analyzed regardless of government policy implementation, using empirical data and survey data; (2) the effect of diverse government interventions to reduce mobility and limit COVID-19 spread, and controversial issues on travel restriction policy effects; and (3) future research issues. The findings showed a strong relationship between the pandemic and mobility, with significant impacts on decreased overall mobility, a remarkable drop in transit ridership, changes in travel behavior, and improved traffic safety. Government implemented various non-pharmaceutical countermeasures, such as city lockdowns, travel restrictions, and social distancing. Many studies showed such interventions were effective. However, some researchers reported inconsistent outcomes. This review provides urban and transport planners with valuable insights to facilitate better preparation for future health emergencies that affect transportation. Supplementary Information: The online version contains supplementary material available at 10.1007/s11116-023-10392-2.
ABSTRACT
INTRODUCTION: The outbreak of COVID-19 has significantly impacted travel behavior. However, few studies have analyzed the impact of COVID-19 on adolescent travel behavior. This article analyzed the impact of COVID-19 on adolescent travel behavior using questionnaire survey data. METHODS: This paper first used confirmatory factor analysis (CFA) to explore the psychological factors related to the adolescents' perceptions about the severity of COVID-19. The study then established a logit model to study the effects of COVID-19 in different phases (before, during, and after the epidemic peak), demographic characteristics, and the role of psychological factors on their travel behavior. RESULTS: The results show that the phase of COVID-19 did not significantly impact the adolescents' choice of short-distance travel. The frequency of outings per week, the number of exercise sessions per week, and willingness to travel by public transportation decreased significantly in the outbreak phase. Meanwhile, the perception of the severity of COVID-19 significantly impacted adolescent travel behavior. CONCLUSION: This research demonstrates that COVID-19 has led adolescents to reduce their frequency of outings, and they try not to use public transportation. Adolescents appear to be traveling more cautiously in the outbreak phase and the post-epidemic phase.
ABSTRACT
Carpooling is emerging as a more appealing "sharing economy” form with promising benefits in reducing carbon emissions, traveling costs, and traffic congestion. However, a thorough understanding of carpooling adoption is lacking for policymakers and transport planners in developing countries due to limited scientific research, specifically in Southeast Asia. Therefore, the present study aimed to understand the behavioral influences of carpool adoption in Thailand by conducting a multivariate analysis on a dataset of 307 observations gathered at Thammasat University, Pathum Thani, Thailand. First, a conceptual model was developed to assess the influence of effort expectancy, perceived safety, hedonic motivation, and social influence on carpool behavior intention. Additionally, two constructs related to COVID-19 and time credits were added to assess their impacts. Then, the sample data were analyzed using Structural Equation Modelling (SEM). It was found that hedonic motivation, social influence, and time credits as payment method factors play statistically significant direct roles in the carpool behavior intention, whereas effort expectancy, perceived safety, and perception towards compliance with COVID-19 guidelines for carpooling did not. However, significant indirect impacts of effort expectancy and social influence through hedonic motivation were discovered. Upon analysis of the findings, policy implications are presented. © 2023 World Conference on Transport Research Society
ABSTRACT
Since early 2020 Europe has been coping with previously unfamiliar economic and social distress caused by the COVID-19 pandemic, the virus's uncontrollable spread (SARS-CoV-2) has thoroughly affected behavioural patterns, societal well-being, and everyday activities. With this study, we aim to contribute to the differences in daily commuting patterns between the first and second waves of the COVID-19 pandemics. Moreover, we seek to uncover factors and territorial differences in population mobility behaviour during the "COVID crisis”. As a method for insight into this, we used a CAWI population survey. Survey took place in March 2021 with a total sample of n=1023 respondents. Comparatively, we asked to report on the situation in 2020 and 2021, representing the first and second waves of the outbreak in Latvia. The paper we structured around three research questions: 1) What are the differences in daily commuting patterns during Latvia's first and second COVID-19 wave? 2) How do commuting patterns translate into regional differences? 3) What sociodemographic characteristics influence commuting habits? The findings suggest that around one-third of the population started working from home (WFH) along with the implemented restrictions. We find that the distinct ability to perform WFH is a pivotal contributor to socioeconomic disparities in commuting behaviour. No significant differences in daily commuting habits in Latvia were found when comparing the first and second waves. However, the heterogeneity of the findings appears when comparing the results among regions, age groups, education and occupations. We found a low "COVID crisis” impact on travel behaviour for less advanced population groups. And high impact or even far-reaching socioeconomic inequalities compared to students or those WFH with higher education, qualified specialists, managers, company owners and persons employed in the tertiary sector, as they are those coping with the most evident changes in their daily lives. © 2022 Societe Belge de Geographie. All rights reserved.
ABSTRACT
As a low-impact activity that can cover longer distances than walking, cycling is not only good for older adult's health, but can also be a viable low-cost mode of transportation. Cycling can allow older adults to maintain mobility, which in turn is crucial for their health, wellbeing, and quality of life. In addition, cycling can improve quality of life among older adults through expansion of social networks and increased life-space areas. Research has shown an increase in cycling among the general population during the COVID-19 pandemic, but points to regional heterogeneity. This study builds on previous work by exploring COVID's impact on older cyclists (65+) residing in a small, auto-centric urban area. Further, this study took a first step at exploring older adults' intent to maintain cycling habits post-pandemic. Although the majority of the survey respondents did not report any significant changes to their cycling habits, the findings suggest that in some cases new habits of cycling more often, longer distances, or for new purposes were formed. For others, the pandemic was associated with negative impacts that lead to a reduction in cycling levels or even complete cycling cessation. A survey (n = 198) demonstrated that, on average, cycling frequency decreased and average distance/trip increased among the study sample. This suggests a less pronounced impact among older adults residing in a small urban area, compared to other cohorts. However, interviews (n = 24) showed that cycling during the pandemic was associated with feelings of accomplishment, enjoyment, improved self-esteem, and increased freedom by allowing participants to get out despite social distancing requirements. Further, among respondents reporting increased cycling (n=76), most (79%) plan to maintain cycling habits post-pandemic, citing reasons such as personal health, enjoyment, and the social aspect of cycling. The findings from this study suggests that changing incentives and exposure to new experiences can lead to changed travel behavior among older adults. These findings could thus in turn support efforts promoting cycling among older adults, pointing to aspects for designing voluntary travel behavior change (VTBC) programs. Five (5) main takeaways for successful VTBC programs aimed at encouraging active transportation among older adults are presented including cycling as social opportunities;promoting flexible work hours;targeting "windows of opportunities";establishing "try it out" cycling programs for older adults;along with the need for continued motivation and repetition. (PsycInfo Database Record (c) 2022 APA, all rights reserved)