Smartphones,travel time-use,and attitudes to public transport services. Insights from an explorative study of urban dwellers in two Norwegian cities

The uptake of mobile media with internet connection has increased rapidly in almost every part of the world, and this has significantly changed how public transport passengers use their travel time. Studies have documented that use of mobile information and communication technologies (ICT) while traveling has the potential to enrich use of travel time and in some cases, strengthen positive attitudes towards public transport. The alternative hypothesis—that mobile communication technologies make travelers more critical and demanding, e.g., due to the risk of interference—has so far hardly been explored through empirical studies. Based on a web-based survey of travelers in two of the largest cities in Norway (Oslo and Trondheim), this paper investigates how use of smart devices are related to general attitudes toward public transportation services. A segmentation of travelers in three clusters based on their mobile use habits, shows that the most active group of mobile media users—a group of younger and middle-aged urban dwellers—were those who bore the most critical attitudes to the public transport services. In contrast, the groups that used their mobile phones rarely, or less actively, on their public transport trips were more satisfied. The findings suggests that a new generation of “equipped travelers” has developed expectations regarding their public transport journeys that service providers might have problems to fulfill in current times. Thus, there is a risk of the most active smartphone users developing negative attitudes to public transport if (or when) their experiences are not improved.     

How do passengers allocate and evaluate their travel time? Evidence from a survey on the Shanghai–Nanjing high speed rail corridor,China

Although previous studies have demonstrated that travel time is not wasted, only a limited number of studies have conducted an in-depth investigation of how passengers allocate their travel time and what factors will impact their subjective valuation of travel time (SVTT). Investigating such questions will uncover some of the possible economic, social, technological and behavioral reasons that influence SVTT. Using a survey of 822 passengers traveling along the Shanghai-Nanjing high speed rail (HSR) corridor in 2016, this study examines passengers' allocation of their travel time, and explores the determinants of SVTT for business and non-business travelers, respectively. Empirical results indicate that around half of the respondents spend the longest amount of travel time on ICT discretionary activities, but there are some differences across trip purpose. Ordered logit models suggest that SVTT is determined by a range of factors, which are classified into travel time allocation, HSR environment, travel attributes, and socio-demographic characteristics. However, the specific factors associated with SVTT are somewhat different between business and non-business trips. The findings of this study provide a better understanding of the perceived value of travel time in a supportive travel environment and in a typical e-society of a developing country, and offer implications for more comprehensively exploring determinants of SVTT in the future.     

Do satisfying walking and cycling trips result in more future trips with active travel modes? An exploratory study

Previous studies have indicated that travel satisfaction - the experienced emotions during, and cognitive evaluation of, a trip - can be affected by travel mode choice and other trip characteristics. However, as satisfactory trips might improve a person's attitude towards the used mode, persons may be more likely to use that same mode for future trips of the same kind. Hence, a cyclical process between travel mode choice and travel satisfaction might occur. In this paper we begin to analyse this process—using a structural equation modelling approach on cross-sectional data—for people who engage in walking and cycling for leisure trips in the Belgian city of Ghent. The focus on walking and cycling reflects recent studies indicating that active travel is often associated with the highest levels of travel satisfaction. Results of this exploratory analysis offer tentative support for the idea of a cyclical process: the evaluation of walking and cycling trips positively affects the respondents' attitude towards the respective mode, which in turn has a positive effect on choosing that mode.     

A study on travelers' transport mode choice behavior using the mixed logit model: A case study of the Seoul-Jeju route

This study is to analyze passengers' choice of the mode of transportation when air transportation is in competition with high speed rail (HSR). The Seoul-Jeju route analyzed as an empirical case study, in which the construction of an undersea tunnel to connect Seoul and Jeju city by HSR has been considered. The study also included two new variables, ‘safety of transportation’ and ‘availability of duty free shopping’ in addition to traditional transport choice variables such as travel time, travel costs and frequency of service to reflect special characteristics of the market. As data gathering tools, SP techniques and mixed logit model, for analytical methodology, were utilized. The authors found that the goodness of fit of the models was improved with new variables. The models also showed that the characteristics of business passengers and leisure passengers in choosing the mode of transportation were different. Business passengers were apt to choose a safety secured mode of transportation regardless of fare while leisure passengers preferred to use duty free shops more than business passengers.     

Determinants of the Adoption for Travel Information on Smartphone

Many travelers are interested in the usage of smartphones for their trips. This study aims in investigating the determinants of their intentions to adopt information on smartphones for travel decision making. This paper suggests a combined model to examine travelers’ intentions to use travel information on their smartphones from two standpoints: hardware using the united theory of acceptance and use of technology (UTAUT) and software using the e‐satisfaction (E‐SAT) model. The results show that four main determinants influence travelers' intentions to use travel information on smartphones for their trips: usefulness, ease of use, social influence, and satisfaction with travel websites. Copyright © 2013 John Wiley & Sons, Ltd.     

Socio-occupational and geographical determinants of the frequency of long-distance business travel in France

Business travel, and long-distance business travel in particular, has received much less attention in research than home-to-work travel. This article explores some determinants of the frequency of long-distance business travel. It focuses on the influence of two parameters that have been little studied: the individual’s socio-occupational group and the workplace location. The data used were provided by the 2008 French National Transport and Travel Survey. Following a review of the literature, a Poisson regression is performed on the frequency of long-distance business trips. The most significant determinants are socio-occupational category, income, gender and the urban or rural nature and size in terms of the number of inhabitants of the area of location. In particular long-distance business trip frequency is lower in the Paris urban area than in all the categories of urban areas as well as rural areas because of the highly centralised organisation of economic activity and the transport network in France.     

Household decision-making for everyday travel: a case study of walking and cycling in Lancaster (UK)

Increased walking and cycling for short journeys in urban areas has many obvious advantages yet so far gains from the promotion of more sustainable travel of this type are mostly small. This paper reports on a large research project which uses a mixed method approach to explore attitudes to and perceptions of walking and cycling, and which examines the process of household decision-making for everyday travel and the constraints that this imposes. Using survey, interview and ethnographic data it is argued that many people hold ambiguous and sometimes contradictory views of walking and cycling as effective means of everyday travel, that what they do rarely matches precisely what they believe, and that the complexity and contingency associated with everyday travel for many households is a major barrier to the use of more sustainable travel modes. It is suggested that better understanding of these processes could help to inform both future transport policy and the promotion of walking and cycling for short trips in urban areas.     

城市轨道交通大小交路结合快慢车开行方案优化

城市轨道交通线路可以实行大小交路的开行模式,以克服断面客流不均衡导致的能力浪费,而这种模式使长距离乘客的出行时间增加,可以在列车开行大小交路的基础上考虑开行快慢车。以乘客出行成本与企业运营成本最小为目标,考虑列车停站时间与客流需求的关系,将停站时间纳入乘客出行成本,建立双目标非线性整数优化模型,求解乘客与运营企业的成本博弈均衡点。通过算例验证模型的有效性,结果表明,相对于大小交路嵌套的运营模式,实行“大小交路+快慢车”的运营模式可以有效降低乘客出行成本与企业运营成本。     

Changing times – A decade of empirical insight into the experience of rail passengers in Great Britain

In the last decade the number of rail passenger journeys in Great Britain has increased by half and car trips per person are down by a tenth. Meanwhile there has been significant growth in internet use and ownership of smartphones. Travel patterns are changing in tandem with adoption of digital age innovations. At a time when Britain is also poised to invest tens of billions of pounds in high speed rail, this paper examines how the experience of rail passengers has changed from 2004 to 2014. It draws upon questions concerning travel time use designed by its first two authors that have been included in the National Rail Passenger Survey waves conducted in Autumn 2004, 2010 and 2014, yielding over 80,000 survey responses in total.The data reveal an ongoing decline of paper-based materials accompanying travellers in the face of increasing adoption of digital alternatives. The latter can, for many, make their journey time experience better. However, the significant increase from 2004 to 2010 in the proportion of passengers considering their time use to have been very worthwhile has not continued on to 2014. This appears to be attributable (in part) to increased crowding and reduced passenger satisfaction associated with rising demand for rail travel. The paper sets out empirical insights, drawing them together in the form of a diagrammatic depiction of the interplay of factors involved in rail passenger experience. This depiction is then used to consider the implications for the future of rail travel. While mobile technologies appear to be placing more control of passenger experience in the hands of the passengers themselves, there remain important imperatives for the rail industry to support positive use of travel time.     

Out of Prague: a week-long intermodal shift from air to rail transport after Iceland’s Eyjafjallajökull erupted in 2010

In April 2010, the eruption of Eyjafjallajökull considerably disrupted air travel across Europe. The grounding of air transport forced passengers to cancel journeys or find alternative means of transport. We analyse short-term intermodal shifts as a reaction to sudden changes in air transport availability. The question addressed is whether, and in what capacity, air passengers used railways when Prague International Airport was closed. To compare the degree of intermodal shift in Prague for particular European destinations during the closure, we calculated an InterModal Shift Index. We concluded that approximately 20% of passengers travelling to neighbouring countries and 6% of passengers travelling to more distant European destinations chose rail as an alternative. Following the airport closure, travellers were willing to choose rail transport as an alternative, but this willingness varies for different countries and areas.     

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.     

Telecommuting and other trips: an English case study

This paper investigates the importance of non-work travel to the growing population of telecommuters and the implications of this for sustainable travel patterns. Previous research has identified a link between increased online access to work and reduced proximity between residential and workplace locations. These studies raise concerns that as more people split their work activities between home and external workplace, whilst living in more dispersed locations, more unsustainable transport impacts will be generated, including higher vehicle mileage, car dependency, and less physical activity. This paper counters that the implications of telecommuting and other flexible working practices for sustainable travel behaviours may be more dependent upon the number and type of non-work journeys and the accessibility of amenities for these purposes rather than on the distance to the workplace for less frequent commuting journeys. Using the National Travel Survey for England, the travel behaviours of those who identify themselves not as home workers but as working from home at least once a week are compared to other working adults by measuring and modelling the number and purpose of trips within a week's travel diary, independent of distance or mode. Telecommuters record fewer commute trips, more trips for other purposes, and the marginal utility of additional non-work trips to telecommuters is greater than for many other socio-economic characteristics. Thus, addressing the accessibility of non-work destinations proactively through local planning has the potential to optimise the sustainability benefits of telecommuting.     

Home-end and activity-end preferences for access to and egress from train stations in the Copenhagen region

Increasing public transport use with the aim of improving the sustainability of cities should focus not only on enhancing level and quality of the service offered, but also on understanding determinants of the choice of access and egress modes to and from the railway network. This study analyzes the difference in preferences at the home-end and activity-end for travelers who have chosen train as their main travel mode while investigating the effect of policy variables such as car parking availability, bicycle parking availability and type, and bicycle on train possibility. Specifically, this study analyzes the choices between five transport modes (i.e., “walk,” “bicycle,” “car driver,” “car passenger,” “bus”) for 2921 home-end and 3658 activity-end trips. Joint mixed logit models are specified and estimated to account for heteroscedasticity and correlation across alternative modes as well as taste heterogeneity across travelers. Model estimates and pseudo-elasticities uncover the importance of travel time and underline how the improvement of walkability, bikeability, and bus service would contribute significantly to the increase in the probability of choosing sustainable modes to and from train stations. Moreover, model results emphasize the role of bicycle parking in terms of the sheer number of spaces to be increased as well as covered places to be offered at the activity end, de facto giving the possibility to leave a bicycle at that end during the night. Lastly, model results show that it is a matter of not only time and trip characteristics, but also traveler characteristics, occupation, and purpose.     

Seamless,accessible travel: users’ views of the public transport journey and interchange

Emphasis on the need to reduce the deterrence effects and costs associated with interchange, so that increasingly seamless public transport journeys can be provided, is now a key policy goal. This paper reports the findings from a series of focus groups and in-depth interviews of both public transport users and car users that were undertaken for a Scottish Executive funded study on interchange and travel choice. It explores how interchange is perceived and how this perception deters public transport use amongst car users or limits public transport use amongst public transport users. The paper also provides insights into lifestyles, the decision-making processes and types of considerations that are made at key stages in the journeys of both car users and public transport passengers.     

Bikesharing Trip Patterns in New York City: Associations with Land Use,Subways, and Bicycle Lanes

As bikesharing systems have proliferated, few studies have examined the trips made on these systems. In this paper, we examine trips between origin-destination pairs during three months in 2015 on New York City’s Citi Bike system. Findings suggest considerable variation across user types, across months, and across times of day. Principal findings indicate that bikesharing is used for transit access and egress during rush hours, and that stations located along the same high-quality bicycle route see far more trips than do other station pairs. Casual users complement subscribers’ usage by using bicycles more frequently during midday and the evening, and between areas characterized by nearby recreational land uses. Loop trips to and from the same station also occur and are likely recreational trips. The data analyzed is essentially a form of “big data.” That is, large data sets that are ubiquitously collected. The analysis suggests that in this case, “big data” that lacks the socio-economic data commonly collected and used in travel analysis can provide useful insights to planners.     

Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap

Over the past two decades, smart card data have received increasing interest from transport researchers as a new source of data for travel behaviour investigation. Collected by smart card systems, smart card data surpass traditional travel survey data in providing more comprehensive spatial–temporal information about urban public transport-based (UPT) trips. However, the utility of smart card data has arguably yet to be exploited fully in terms of extracting and exploring the spatial–temporal dynamics of UPT passenger travel behaviour. To advance previous work in this area, this paper demonstrates a multi-step methodology in order to render more insightful spatial–temporal patterns of UPT passenger travel behaviour. Drawing on the Brisbane, Australia, bus network as the case study, a smart card dataset was first processed in combination with General Transit Specification Feed (GTFS) data to reconstruct travel trajectories of bus passengers at bus stop level of spatial granularity. By applying geographical information system-based (GIS) techniques, this dataset was used to create flow-comaps to visualise the aggregate flow patterns at a network level. The flow-comaps uncovered the major pathways of bus passengers and its variations over a one-day period. The differences within the flow-comaps were also quantified to produce weighted flow-comaps that highlighted the major temporal changes of passenger flow patterns along a number of stop-to-stop linkages of the bus network. The proposed methodology visually unveiled the spatial–temporal travel behaviour dynamics of UPT passengers and, in doing so, showed the potential to contribute to a new evidence base with the capacity to inform local public transport policy.     

Factors affecting airport access mode choice for elderly air passengers

This research investigates whether elderly air passengers exhibit different mode choice behavior in regard to airport ground access. Using survey data from a Taiwanese sample, our results show that elderly air passengers prefer to ask family members to drive them to the airport, while general passengers prefer to take a taxi. The results also indicate that “safety” is the most important item in the choice of access mode and “user friendly” and “convenience for storing luggage” as the next most important items for the elderly. Elderly passengers are found to be less likely to use public transport than private transport. Factors such as “possessing a car in their household”, “carrying more luggage”, “spending more time spent in the vehicle”, and “higher ticket prices for public transport” increase the propensity for the elderly to use private transport.     

Greenhouse gas emissions from flying can offset the gain from reduced driving in dense urban areas

Numerous studies have illustrated how denser urban forms lead to smaller greenhouse gas (GHG) emissions from passenger transport. Many of these studies have excluded aviation since the association between urban structure and air travel is not as intuitive as it is the case of ground travel. However, several recent studies have concluded that air travel is a significant contributor to the GHGs from passenger transport. Furthermore, even air travel habits depend heavily on lifestyles and socio-economic factors that are related to the urban form. Here we analyse the interactions between urban structure and different transportation modes and their GHG impacts in Finland. The study utilises the data from the Finnish Transportation Agency’s passenger traffic survey from May 2010 to May 2011, which includes over 12 000 people and over 35 000 trips. The survey is based on one-day travel diaries and also includes additional data on long-distance trips from a longer period. Methodologically, the study takes a traveller’s perspective to assess the GHG emissions from passenger transport. We found that (1) air travel breaks the pattern where GHG emissions decrease with increasing density of urban structures, and (2) in the metropolitan region there is a clear trade-off between car-ownership and air travel in the middle income class. The main policy implication of our study is that air travel must be included in GHG assessments and mitigation strategies targeting travel behaviour. In dense urban regions, the emissions of air travel have the potential to offset the gain from reduced private driving.     

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.