Air travel for private purposes. An analysis of airport access,income and environmental concern in Switzerland

As air travel is considered a relevant area of action to mitigate climate change, it is important to know its determinants. The present study examines socio-demographic, spatial and attitudinal predictors of air travel for private purposes. The analyses are based on the Swiss Environmental Survey 2007 and a subsequent computation of the respondents' environmental impact, as well as spatial data.A lognormal hurdle model indicates that persons with higher environmental concern are less likely to travel by air and if they still do, they travel less. While political orientations do not affect whether a person travels by air, the results indicate that among those who do fly, respondents voting for the Green Party cause lower emissions than those opting for other left or center parties. Furthermore, higher incomes are associated with more air travel whereas living with children is associated with less air travel. Airport access is related to air travel in the sense that living closer to airports, in particular to large ones, is correlated to more air travel. The result is robust to alterations of the accessibility measure and also upholds when population density is controlled for.     

Estimating the impact of COVID-19 on air travel in the medium and long term using neural network and Monte Carlo simulation

The COVID-19 pandemic has had a substantial impact on the airline industry. Air travel in the United States declined in 2020 with significantly lower domestic and international flights. The dynamic change and uncertainty in the trend of COVID-19 have made it difficult to predict future air travel. This paper aims at developing and testing neural network models that predict domestic and international air travel in the medium and long term based on residents' daily trips by distance, economic condition, COVID-19 severity, and travel restrictions. Data in the United States from various sources were used to train and validate the neural network models, and Monte Carlo simulations were constructed to predict air travel under uncertainty of the pandemic and economic growth. The results show that weekly economic index (WEI) is the most important predictor for air travel. Additionally, daily trips by distance play a more important role in the prediction of domestic air travel than the international one, while travel restrictions seem to have an impact on both. Sensitivity analysis results for four different scenarios indicate that air travel in the future is more sensitive to the change in WEI than the changes in COVID-19 variables. Additionally, even in the best-case scenario, when the pandemic is over and the economy is back to normal, it still takes several years for air travel to return to normal, as before the pandemic. The findings have significant contributions to the literature in COVID-19's impact on air transportation and air travel prediction.     

Australian climate concern and the ‘attitude–behaviour gap’

Anthropogenic climate change poses considerable challenges to all societies and economies. One significant contributor to human-induced climate change is tourism transportation, particularly aviation. This paper addresses the relationship between climate change concerns, the energy-intensive nature of tourist consumption, and unrestrained tourist air travel behaviour in the context of Australia. Following Barr et al. [(2010). “A holiday is a holiday”: Practicing sustainability, home and away. Journal of Transport Geography, 18(3), 474–481], it seeks to understand public climate concern within the context of routine everyday (‘home’) lives and occasional tourist (‘away’) decision-making, with a specific focus on air travel. It draws upon 20 in-depth semi-structured interviews conducted in Australia between March and June 2011. The findings highlight the contradictory nature of environmental concerns and consumption decisions in everyday and tourist contexts. This is evident in widespread domestic consumer practices that are motivated, all or in large part, by climate concerns, set against almost complete disregard and neglect of responsibility to modify existing air travel practices. Our results highlight the magnitude of the challenge involved in shifting deeply entrenched air travel behaviours despite the growing urgency of radical emission reductions. It also highlights the need to consider consumer responses to climate change not in isolation, but in relation to industry drivers and strong government policy interventions.     

Limits to air travel growth: The case of infrequent flyers

Most air travel forecasts predict a long-term rise in demand, with limited consideration of any limits to growth. However for any given population there will be those who have not flown recently (‘infrequent flyers’), as well as non-flyers, and little is known about these and whether they are likely to fly in the future. The aim of this paper is to analyse the characteristics of these groups and the reasons for their travel habits, using the UK as a case study. The findings show that infrequent flyers make up a heterogeneous consumer group whose non-flying is influenced more by budget constraints and personal circumstances than specific aviation factors. Comparisons with Belgian, German and Dutch infrequent flyers indicate some similarities, although there are differences in the relative importance of the reasons for not flying. The findings have implications for the aviation industry and regulators, and policy areas related to consumers and climate change.     

Identification of determinants for rescheduling travel mode choice and transportation policies to reduce car use in urban areas

This paper presents a qualitative analysis about the determinants related to rescheduling travel mode decisions during the activity scheduling process. Notably, we were interested to study changes between intention and behavior. Data used came from an in-depth Computer Assisted Telephone Interview (CATI) follow up survey to habitual drivers carried out during the implementation of a panel survey. An interpretative qualitative method based on Analytic Induction was used to cope with the complex nature of rescheduling decisions and the characteristics of the data. The Theory of Planned Behavior has been used to gain a better understanding of the reasons associated with rescheduling travel mode decisions and to obtain a possible explanation of the phenomena studied. In our sample, 12 codes were identified as the main determinants of travel mode changing. Main reasons for rescheduling a travel mode are different considering gender, age, and the type of travel mode change. Main reasons for changing a nonprivate preplanned travel mode to a private travel mode are different considering the type of travel mode preplanned. New determinants of rescheduling decisions different from those associated with other activity scheduling decisions previously identified emerge when analyzing travel mode changes. A number of important sustainable transportation policies to reduce car use in urban areas are derived from the results of this study.     

Attitudes of ageing passengers to air travel since the coronavirus pandemic

The coronavirus pandemic has had a devastating impact on the demand for air transport. One passenger segment that has received relatively little attention is ageing passengers (defined as aged 65+), in spite of the fact that this group has been disproportionately affected by COVID-19, and in recent years has been viewed as a potential growth market. Therefore, the aim of this brief paper is to analyse the attitudes of ageing passengers by assessing air travel plans in the next 12 months, examining the factors influencing future flying decisions, and investigating the impact of the coronavirus pandemic on perceived risks and experiences associated with flying. The findings show that over 60% of ageing passengers are planning to travel by air in the next 12 months, although the nature of their trips may change. Factors such as flexible ticket booking and quarantine rules do not appear to be key drivers affecting travel decisions and within the different stages of the air journey, getting to/from the airport is perceived as the safest stage. The findings suggest that there are various COVID-19 implications for airlines and airports serving this market segment, ranging from the use of self-service technology, the generation of commercial/ancillary revenues and the design of surface access policies.     

Climate change and the air travel decisions of UK tourists

Whilst much effort has been made to communicate to the public the importance of reducing carbon footprints in the home, one area where emissions are growing rapidly and little attempt has been made to increase consumer understanding of the impacts is holidays, particularly those involving air travel. Using focus group research, this paper explores tourists’ awareness of the impacts of travel on climate change, examines the extent to which climate change features in holiday travel decisions and identifies some of the barriers to the adoption of less carbon-intensive tourism practices. The findings suggest that many tourists do not consider climate change when planning their holidays. The failure of tourists to engage with the climate change impact of holidays, combined with significant barriers to behavioural change, presents a considerable challenge in moving the tourism industry onto a sustainable emissions path. The findings are discussed in relation to theoretical perspectives from psychology and sociology.     

Travelling ‘green’: is tourists' happiness at stake?

Several western governments have implemented environmental policies which increase the cost of air travel. Such policies aim to reduce the impact of air travel on climate change, but at the same time they restrict tourists in their travels. This study examines the extent to which the average tourist's happiness is affected by ‘involuntary green travel’, defined as reduced CO₂ emission travel imposed by government regulations. This issue was addressed in a study among 588 Dutch citizens who completed a self-report questionnaire containing questions about their happiness. The strongest determinant of tourists' happiness is freedom in choosing a destination. Any policy measure that interferes with tourists' freedom in destination choice will negatively affect tourists' happiness. Six percent of their happiness is at stake and potentially 17% of all holiday trips are affected. The number of tourists involved is possibly much smaller. The best options for governments are to impose taxes on long-haul destinations, which affect only a small share of all tourists, and air routes which can also be travelled by a variety of alternative modes of transport and thus less limiting to destination choice within this market segment.     

A cointegration analysis of bilateral air travel flows: The case of international travel to and from the United States

Demand for international air travel has risen over the past decade causing international visitation to the US to reach a record high in 2012. This paper assesses the dynamic impacts of GDP, exchange rate, and the 9/11 terrorist attacks on bilateral air travel flows between the US and its 11 major travel and trading partners. An autoregressive distributed lag modeling approach is employed to estimate short- and long-run relationships between variables. Long-run results demonstrate foreign GDP as the major determinant of demand for inbound travel to the US and US GDP is a crucial factor affecting demand for outbound travel from the US. These findings support a strong linkage between economic growth and demand for international air travel. The real exchange rate has relatively little impact on the bilateral air travel flows. The US dollar appreciation against foreign currencies is found to reduce demand for inbound travel to the US, while having mixed effects on outbound travel from the US. In the short-run, economic growth tends to be a primary factor influencing international travel flows to and from the US. The 9/11 market shock has a detrimental short- and long-run effect on the bilateral air travel flows, implying that the impact of 9/11 is prolonged in international air travel markets.     

Strategic travel planning toward future emission targets—A comparative analysis of 20 Swedish municipalities applying the CERO model

Organizations displaying best practices for attaining proactive sustainability targets at local level are of major importance as role models in the transition toward a sustainable transport system. This study summarizes results and conclusions from 20 municipalities in Sweden that have implemented the so called CERO analysis in order to adapt to future emission targets for travel. The overall aim of the study is to identify factors explaining why some municipalities are more successful than others in a benchmarking comparison.

The results indicate that commuting by car is by far the most dominant source of emissions, constituting on average 76% of total annual travel emissions (including both commuting and business travel). In order to reduce these emissions, travel planning programs within organizations must address both commuting conditions and business travel conditions to reduce car dependence for work travel, e.g., employees using private cars for business trips most likely also use their own cars for commuting. To identify potential success factors as regards emissions-efficient travel, three comparative statistical analyses were conducted: grouping municipalities with low emissions in relation to the total average; analysis of car commuters' willingness to change travel mode; and before-and-after analyses of municipalities implementing specific action plans. The results revealed that municipalities conducting follow-up studies 2 years after implementing travel planning programs all lowered their total CO₂ emissions, by on average 10% during a 2-year period. Overall, these municipalities achieved redistribution to alternative travel modes but also reduced total travel mileage.     

Inter-city travel behaviour adaptation to extreme weather events

Increased attention has been paid to travel behaviour in circumstances of extreme weather conditions that are expected with climate change, and the analyses usually address intra-city travel. There is lack of assessments on inter-city travel which has less redundancy and is more exposed to extreme weather threats. In addition, much of the research has been carried out in developed countries. This paper provides new perspectives by investigating how people adapt their inter-city travel behaviour to flooding impacts in Bangladesh. With an orthogonal design of three flooding scenarios, questionnaire data were collected in 14 coastal and inland areas. Results of the statistical analyses identify the significant impacts of flooding on people’s inter-city travel and reveal significant differences in attitudes and responses to flooding and extreme weather in coastal compared to inland locations. The main factors significantly affecting travel behaviour choice are road disruption, isolation by flood water, and flood frequency. These factors are felt differently in coastal and inland locations. The most common responses are cancelling trips or changing destinations. It is recommended that when making flooding adaptation decisions, it is important to protect road infrastructure and guarantee accessible routes in coastal areas, while offering more flood adaptation education to the inland people.     

Tourism and the smartphone app: capabilities,emerging practice and scope in the travel domain

Based on its advanced computing capabilities and ubiquity, the smartphone has rapidly been adopted as a tourism travel tool. With a growing number of users and a wide variety of applications emerging, the smartphone is fundamentally altering our current use and understanding of the transport network and tourism travel. Based on a review of smartphone apps, this article evaluates the current functionalities used in the domestic tourism travel domain and highlights where the next major developments lie. Then, at a more conceptual level, the article analyses how the smartphone mediates tourism travel and the role it might play in more collaborative and dynamic travel decisions to facilitate sustainable travel. Some emerging research challenges are discussed.     

Impacts of videoconferencing on business travel: the Norwegian experience

This paper assesses the impact of videoconferencing on business air travel. Results suggest that videoconferencing has only a limited effect on business air travel, with substitution rates of 2.5–3.5%. Thus, within the Norwegian market, videoconferencing is not considered a serious threat to the airline industry. The enterprises considered in this survey indicate low sensitivity to the threat of terror and the instability that has followed September 11 in the US. In Norway, air travel recovered after 4–5 months. Videoconferencing is expected to grow but remain supplementary to personal contact.     

Airlines’ competition in aircraft size and service frequency in duopoly markets

We are interested in how airlines make decisions on aircraft size and service frequency in a competitive environment. We apply three game-theoretic models to analyze airlines’ choices in duopoly markets: one short-haul market and one long-haul market. We study how airlines’ choices in a competitive environment may vary with flight distance, and also do sensitivity analysis to explore how the equilibrium results may change when air travel demand is higher, as it may happen in the future.Our research considers the competition factor in airlines’ decisions on both aircraft size and service frequency, and the impact of these decisions on both the cost and demand sides of airlines’ business. Different from previous studies, our research is based on cost, market share and demand models derived from empirical studies.     

Embedded and exposed: exploring the lived experiences of African American tourists

ABSTRACT

The United States is experiencing a shift in racial demographics. Recent projections suggest that minority groups will make up over 40% of the country’s population by 2050. Such increases have made the topics of race, ethnicity, and culture an important area of study for researchers and tourism professionals alike. Existing explanations of differences in African American travel suggest that decisions are made due to marginality or ethnicity. Because travel preferences may be a byproduct of learned behaviors passed down through generations, it is imperative to understand both current and historical aspects of leisure behavior. In this qualitative study, the narratives of 12 African American tourists provided information which suggests that marginality, ethnicity, and issues related to discrimination impact their tourism-related attitudes and behaviors. Capturing the voices of African American travelers offers a more inclusive understanding of their travel experiences and insights into the relationship between race and tourism.     

A method for quantifying travel productivity for corporate travel managers

For large corporations with significant travel budgets, the efficiency in execution of employee travel is critical to the productivity of the enterprise. Air travel disruptions (i.e. delays, cancellations, missed connections) prevent employees from performing enterprise related tasks resulting in lost billable revenue and unbudgeted Indirect costs (e.g. unplanned overnight stays for stranded passengers, and idle time charges). Since travel disruption data is not readily available to Corporate Travel Managers, the Indirect charges cannot be included in budgets, and the magnitude of lost billable revenue is not known. Further, without measuring the travel delays and their impact, it is not possible to understand the underlying causes of the delays to improve the process.This paper describes a method for providing Corporate Travel Departments travel disruption statistics and their impact on revenue and profits. The method overcomes the problem of the absence of data by deriving travel delay statistics for corporate travel from publicly available historic airline flight data-bases. The method also uses a travel delay cost model to estimate the financial impact of travel disruptions. The implications of these results on Corporate Travel Management (CTM) productivity improvement strategies, corporate travel and indirect budgets, contracts with travel providers, and travel insurance are discussed.     

Changing trip behavior in a higher education institution: The role of parking fees

Higher education institutions are major trip-generating locations and the transportation to and from them has negative environmental influences. To discourage car owners from solo driving and encourage them to use more environmentally friendly travel modes, it is important to understand what factors influence their travel mode choice. Using a discrete choice model, we examined the motivations to leave the car at home, with and without parking fee. Besides parking fees, we examined the effects of other variables known to predict commuting choice, such as time and social discomfort, pro-environmental attitudes, reduced vehicle maintenance expenses and awareness of alternative commuting options. Results show that adding a parking fee not only increased the tendency to leave the car at home, it also influenced the relative weight given to the considerations that determine to leave the car at home. Specifically, after the introduction of a parking fee, the previously significant impacts of pro-environmental attitudes and social discomfort on leaving the car at home became non-significant, and the impacts of other, more instrumental factors (e.g., time discomfort, costs related to car ownership and maintenance, time wasted searching for a parking space and in traffic jams) which were insignificant beforehand, became the significant predictors. Parking fees were found to be effective and can change to accommodate different policies (revenue collection, pollution reduction, and students’ discomfort). The implications of such a study are the trade-off between monetary (parking fee) and non-monetary variables to accommodate more sustainable traffic management.     

Impact of weather conditions on macroscopic urban travel times

Weather conditions may significantly impact a series of everyday human decisions and activities. As a result, engineers seek to integrate weather-related data into traffic operations in order to improve the current state of practice. Travel times and speeds are two of the elements of a transportation system that may be greatly affected by the weather resulting in deterioration of roadway network performance. This study aims to investigate the impact of different intensities of rain, snow and temperature levels on macroscopic travel times in the Greater London area (UK) during the period 1 October–10 December 2009. The analysis was carried out for three 2-h periods on weekdays during the morning, afternoon and evening periods. Automatic Number Plate Recognition (ANPR) data obtained from more than 380 travel links are used in the analysis. The main finding is that the impact of rain and snow is a function of their intensity. Specifically, the ranges of the total travel time increase due to light, moderate and heavy rain are: 0.1–2.1%, 1.5–3.8%, and 4.0–6.0% respectively. Light snow results in travel time increases of 5.5–7.6%, whilst heavy snow causes the highest percentage delays spanning from 7.4% to 11.4%. Temperature has nearly negligible effects on travel times. It was also found that the longer links within outer London generally yield greater travel time decreases than those in inner London, and even higher decreases than the shortest links in central London. This research provides planners with additional information that can be used in traffic management to modify planning decisions and improve the transportation system control on a network scale under different weather conditions. In order to determine whether the weather effects are region-specific, continued research is needed to replicate this study in other areas that exhibit different characteristics.     

Determination of active travel speed for minimum air pollution inhalation

A higher active travel speed has offsetting impacts on air pollution inhalation dose through higher breathing rate but shorter exposure duration. The net effect of speed choice on inhalation dose for pedestrians and bicyclists has not been established. This paper derives equations for pedestrian and bicycle steady-state minimum-dose speed (MDS). Parameter distributions from the literature are applied to a synthetic population of travelers to calculate individual MDS. Results strongly support the existence of a definable MDS, which is near observed travel speeds for urban pedestrians and bicyclists. For a wide range of travelers, the MDS is 2–6 km/h while walking and 12–20 km/h while bicycling, decreasing with road grade at a rate similar to observed speeds. On level ground, pedestrian and bicycle MDS corresponds to a moderate-intensity physical activity level (3–6 MET). Small deviations from the MDS have little effect, but large deviations (by more than 10 km/h for bicycling) can more than double inhalation dose over a fixed distance. It appears that pedestrians and bicyclists choose travel speeds that approximately minimize pollution inhalation dose, although pollution is unlikely a primary motivation.     

Moving towards sustainability? Mobility styles, attitudes and individual travel behaviour

Future scenarios for the transport sector are increasingly confronted with the finite nature of fossil-based resources (petrol, natural gas) and an urgent need for reductions of negative transport-related effects (CO₂ and other exhaust emissions, noise, land consumption). In view of limited technical advances and efficiency improvements, along with growing traffic volumes, behavioural changes towards more sustainable travel futures have attained a crucial importance. This paper will discuss initial results from a 2-year project (funded by the British Economic and Social Research Council - ESRC) which aims to develop the notion of sustainability-related ‘mobility styles’ as a context for applying targeted social marketing policies to specific population segments. Based on ten focus group discussions and a survey of more than 1500 participants in the South West of England, two segmentation approaches are used to identify gaps between different domains of individual travel behaviour and the varying role of attitudes for travel decisions. The results demonstrate the usefulness and limitations of existing segmentation approaches and underline the need for more complex and comprehensive mobility style frameworks as basis for measures aiming at behavioural change towards sustainable mobility.