The travel cost method and the economic value of leisure time

Recent estimates of high values for tourist related recreation USA amenity values indicate that allocation of basic water and terrestrial resources to recreation activities should be given precedence over conventional market oriented activities that often degrade or even extirpate the resource. We discuss at length the travel cost method (TCM), a survey based technique that quantifies the non‐market benefits of trips to recreation sites. The TCM has been cast in the role of an ‘umpire’ in recent resource allocation debates. Understanding the key role of the TCM in the debate will aid tourist agency officials throughout the world. This article is a U.S. Government work and is in the public domain in the U.S.A.     

Estimating social travel demand of senior citizens in the Netherlands

Like many other countries, the Netherlands is experiencing a sharp rise in the ageing population. As age increases, people’s mobility may decrease. However, older people have more leisure time compared to their younger (working) counterparts, and potentially spend more time on social activities. Therefore, this group can possibly increase social travel demand. However, to date, the travel demand for social activities of senior citizens has received only little attention. This paper studies trip-making for social purposes, with a special focus on the demographic ageing factors. Using social activity diary data, models are estimated to predict the number of social trips, the travel distance and mode of transport for social trips. The results indicate that the elderly of today seem to be as mobile as their younger counterparts with respect to the number of social trips. High education and involvement in clubs on average result in more social trips and full time work is found to result in fewer social trips. With regard to trip distance the results show that the average travel distance does not decrease as people get older. Full time work is found to result in longer social trips. Shorter trips were found for people in urban as well as rural areas. Trips for the purpose of visiting or joint activities tend to be longer than average. With regard to transport mode choice the results indicate that older seniors (75+) are less likely to choose the bicycle, relative to driving. No other significant age effects were found. Significant effects were found for gender, household structure, education level, car ownership, having a disability, urban density, distance and the purpose of the social activity.     

Segmenting travellers based on day-to-day variability in work-related travel behaviour

Travel needs for commute and business trips are complex and choices are not made based on the characteristics of individual trips, but instead based on the needs over weeks and months. For example, the cost per trip of commuting by bus varies depending upon the frequency of travel, and the cost of a monthly subway pass depends upon the number of zones visited during that period. Intrapersonal variability, namely the variation in an individual's travel behaviour from day to day, therefore shapes our transport choices and should influence service provision. Changes in working patterns such as increases in part time working, self-employment and tele-commuting challenge the traditionally held assumptions that work activities are fixed in time and space, thus making intrapersonal variability increasingly relevant. This research uses a data-driven approach to segment workers based on their work-related travel behaviour, including frequency of travel and both spatial and time of day intrapersonal variability. The analysis uses survey and seven day travel diary data for over 110,000 people collected over a 19 year period in England. Four groups of workers were identified: infrequent, spatially variable, temporally variable and regular travellers. These groups do not align closely with self-reported working arrangements such as self-employment or part time working. The group of regular travellers has decreased in size between 1998 and 2016 but remains the largest group, containing just under 60% of workers in 2016. Both the infrequent and spatially variable groups have grown over the same period. For a small but growing group of workers, a seven day diary is insufficient to understand their work-related transport needs as little or no work travel is recorded. These findings have implications for the design of public transport ticketing, the design of mobility as a service packages and the appraisal of congestion charging schemes.     

Traffic exposure near the Los Angeles–Long Beach port complex: using GPS-enhanced tracking to assess the implications of unreported travel and locations

Traffic exposure assessments could misclassify the extent and locations of exposure if traditional recall surveys and self-reported travel diaries do not record all participant activities. The Harbor Communities Time Location Study (HCTLS) examines the nature, extent and implications of underreported locations/trips in a case study which used portable Global Positioning Systems (GPS) devices to track the diurnal patterns and traffic exposure of 47 residents of communities near the Los Angeles–Long Beach port complex. Participants were similar to adults nationwide in time spent indoors, in-vehicle, and outdoors, but spent more time indoors at home (78% vs. 66%). Overall, participants did not report nearly half (49%) of the locations and trips identified in GPS-enhanced data on their activity diaries, resulting in about 3 h/day in unreported locations and 0.6 h/day in unreported trips. The probability of a location/trip being underreported was systematically correlated with participant and location/trip characteristics. Self-reported data missed about 50 min of heightened air pollution exposures during the 5 h/day on average participants spent in high-traffic areas and about 30 min during the 4 h/day near truck routes. GPS-enhanced methods provide opportunities to more precisely characterize exposure periods and tools to identify facility, roadway, and land use types of the greatest concern for mitigation efforts.     

Telephone uses and the travel behaviour of residents in Osogbo,Nigeria: an empirical analysis

This paper looks at the impacts of telephone uses of residents in Osogbo, Nigeria on the travel behaviour, particularly within the realm of the three popular telecommunication propositions of substitution, inducement and complementarities. The study is based on a randomly selected set of 163 households with functioning telephones. Evidence from the study shows that the usage of telephone in the study area tends to increase the number of trips.Further analysis shows the significant variations between the trip categories expressed by the three propositions of induced, replaced and complemented trips in the study area. The paper suggests tangible policy issues for telecommunication improvements in Nigeria at large and their potential impact on transport demand.     

Is traffic congestion overrated? Examining the highly variable effects of congestion on travel and accessibility

Congestion is universally unpopular, but is it always a problem? Are some places more “congestion-adapted” than others? Using data for Los Angeles, we examine whether the geographies of congestion and accessibility are distinct by mapping and describing them across neighborhoods. We then estimate a series of regression models of trip-making to test the net effects of traffic delays on behavior. We find that there are places where people make many trips and engage in many activities despite lots of congestion, which tend to be more central, built-up areas that host many short trips; in other places, high congestion and low activity coincide. Why the variance? While congestion can constrain mobility and reduce accessibility, traffic is also associated with agglomerations of activity and is thus a byproduct of proximity-based accessibility. Whether agglomeration and congestion have net positive or negative impacts on activity participation thus varies substantially over space. Controlling for factors such as income and working at home, we find that the effects of congestion on access depend on whether congestion-adaptive travel choices (such as walking and making shorter trips to nearby destinations) are viable. Because “congestion-adapted” places tend to host more trip-making, planners may be justified in creating more such places in order to increase accessibility, even if doing so makes absolute levels of congestion worse in the process.     

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.     

Does the built environment make a difference? Additional evidence from the daily activity and travel behavior of homemakers living in New York City and suburbs

Homemakers, unlike employed people who have jobs and unemployed people who are seeking jobs, are a special group who do not have to spend time working out of the home, commuting to work, or looking for a job. Given that a regular job typically takes 9 h (This includes an assumed half-hour one-way commute time.) a day, the discretion to allocate their time is presumably much greater than other groups.In this paper, we focus our attention on homemakers’ activity and travel behavior in neighborhoods with different characteristics (e.g., very dense areas, dense areas, and suburbs). The question to be answered is quite simple: are there differences between travel behaviors of homemakers living in different types of neighborhoods? If yes, can these differences be attributed to differences in the built environment?The dataset used in the study is the Household Interview Survey (HIS) collected in 1997/1998 in the New York metropolitan area. We found significant differences in activity and travel related behavior by homemakers living in different types of neighborhoods. Compared to suburban homemakers, New York City homemakers spend more time on discretionary activities and less time on maintenance activities; use public transportation and walk more frequently; and conduct fewer trip chains. The study found that both individuals’ socio-economic characteristics and built environment appear to play a role in explaining behavior. A probably more important factor in explaining people’s time use behavior is the interrelationship between activities and trips, and between different types of activities.     

Expanding the positive utility of travel through weeklong tracking: Within-person and multi-environment variability of ideal travel time

Travel has been found to have a positive utility—often measured as a desire for non-zero travel time. Although past studies have found that desired travel time varies by trip attributes, they often focused on a single trip purpose (e.g., commute) or single time point (e.g., peak period of one day) and rarely captured variation within individuals and across multiple travel environments. To address these limitations, we employed a smartphone-based travel behavior survey of 186 users making 4397 trips in the Washington, DC, and Blacksburg, VA metropolitan areas. For each user, multiple trips were recorded and the user was asked to repeatedly report on the ideal travel time for each trip. We found that desired travel time varied across different trip environmental characteristics and purposes. Ideal travel time was longer for active travel trips, leisure trips, weekend trips, and when the user conducted activities during trips (e.g., talking, using the phone, looking at the landscape) and traveled with companions. Our study suggests the need for more realistic estimation of the value of travel time savings and the need for quantifying the effect of multitasking during travel on people's willingness to reduce travel time. Practitioners should also consider providing better urban infrastructure for pedestrians and bicyclists to fulfill their trips, as their ideal travel times closely match actual travel times.     

Impacts and risks associated with developing,but unsupervised,stingray tourism at Hamelin Bay,Western Australia

Interacting with stingrays at Hamelin Bay, in the south‐west of Western Australia, appears to be substantially growing in popularity. Promotion of the rays is increasing through websites and brochures and larger tourism productions, such as the ‘Getaway’ television programme, have shown interest in the Hamelin Bay site. Yet there is still very little known about the impacts on rays (both behavioural and physical), risks to humans, or indeed the issues that provisioning stingrays can present. Although Shackley (1998) conducted an impact study of stingray provisioning in the Cayman Islands, provisioning activities at Hamelin Bay, and other areas in the southwest are unique because they are shore‐based. As part of developing a profile of conditions at the Hamelin Bay provisioning site we investigated stingray numbers and their distribution in the area. We also collected data on the type and amount of provisioned food, investigated stingray behaviour and observed how tourists interacted with stingrays. It was shown through site profile data that rays are attracted to the site principally by food provisioning and secondarily by boats due to learned association with food. They are most common at the provisioning site in the middle of the day, as are peak visitor numbers. Behavioural impacts on rays were found to be attraction to humans, resulting in aggression and hierarchy towards one another. Attraction to humans at the provisioning site reflected that the rays may be partially habituated. However, rays were also seen foraging naturally for food, indicating that they are not yet dependent on humans. Other potential impacts to rays include boat damage from pleasure craft, overfeeding, being fed the wrong food, damage from fishing hooks and risk of disease from foul water. Lesions on skin and permanent shoaling behaviour, as witnessed at other stingray provisioning sites, were not observed at Hamelin Bay. Management actions are recommended to reduce impacts on the rays, eliminate risks to visitors and increase visitor satisfaction. Copyright © 2004 John Wiley & Sons, Ltd.     

‘Scary … but I like it!’ Young tourists' perceptions of fear on holiday

This paper explores young tourists' perceptions of fear on holiday. The work on which this paper is based is important because it sheds light on tourists' emotional experiences on holiday, which are central to increase our understanding of tourist behaviour. The importance of investigating perceptions of fear has been recognized within a number of different disciplines, such as psychology, sociology, criminology, and marketing. Indeed, it has been argued that fear may provide significant information concerning an individual's motivations, preferences, and patterns of behaviour. Despite this, perceptions of fear within the tourism experience have remained relatively unexplored. It is often assumed that perceptions of safety and security may influence individuals' destination choice. However, there is a paucity of studies concerning tourists' perceptions of fear during the tourism experience. This paper is based on three months of qualitative fieldwork conducted on the island of Ios, Greece in the summer of 2007. More specifically, participant observation and semi-structured interviews were methods employed for data collection to explore young tourists' perceptions of fear. The possibility to develop a rapport and build a relationship with young tourists on Ios was crucial to collect valuable information concerning tourists' background, their emotions, expectations, perceptions, and the context in which perceptions of fear were experienced and expressed. The study found that most holidaymakers on Ios participated in activities perceived as risky in order to experience fear. In this respect, young tourists deliberately sought fear and thrill to increase their levels of pleasure and enjoyment during the tourism experience. The results suggest that fear may play a positive role in the tourism experience of young tourists, which should no longer be ignored by tourism scholars.     

Are stay-at-home orders more difficult to follow for low-income groups?

In response to the COVID-19 pandemic, a growing number of states, counties and cities in the United States issued mandatory stay-at-home orders as part of their efforts to slow down the spread of the virus. We argue that the consequences of this one-size-fits-all order will be differentially distributed among economic groups. In this paper, we examine social distance behavior changes for lower income populations. We conduct a comparative analysis of responses between lower-income and upper-income groups and assess their relative exposure to COVID-19 risks. Using a difference-in-difference-in-differences analysis of 3140 counties, we find social distance policy effect on the lower-income group is smaller than that of the upper-income group, by as much as 46% to 54%. Our explorations of the mechanisms behind the disparate effects suggest that for the work-related trips the stay-at-home orders do not significantly reduce low income work trips and this result is statistically significant. That is, the share of essential business defined by stay-at-home orders is significantly negatively correlated with income at county level. In the non-work-related trips, we find that both the lower-income and upper-income groups reduced visits to retail, recreation, grocery, and pharmacy visits after the stay-at-home order, with the upper-income group reducing trips more compared to lower-income group.     

Incorporating in-home activities in ADAPTS activity-based framework: A sequential conditional probability approach

In travel demand modelling literature, minor attention has been given to modelling and specifically micro-simulating the in-home activities. One reason could be associated with the fact that in-home activities do not explicitly involve trips. Besides, data limitation could be another reason since most of the travel surveys are based on the household travel diary approach and do not encompass in-home activity information. Nonetheless, incorporating people's in-home activities into the activity-based travel demand frameworks and perceiving the associations between the activities people perform in home and out of home could enhance the activity generation, planning, and scheduling procedures. In an effort to analyze such associations, this study uses a sequential conditional probability approach for modelling activity type and duration decisions of in-home activities in conjunction with out-of-home ones. The paper first proposes an algorithm to incorporate in-home activities within the Agent-based Activity Planning and Travel Scheduling (ADAPTS) framework. Then, models regarding generation and planning of in-home activities are presented and described accordingly. The new framework is capable of modelling and simulating in-home activities alongside and in conjunction with out-of-home activities with a special focus on a large set of in-home activity types.     

Disentangling the behavioural side of the first and last mile problem: the role of modality style and the built environment

The first and last mile (FLM) problem, namely the poor connection between trip origins or destination and public transport stations, is a significant obstacle to sustainable transportation as it is likely to encourage the use of cars for FLM travel, if not for the entire trip. This study examines the role of modality style and built environment in FLM mode choice behaviour, in order to identify the key features that might invoke a travel mode shift from cars to more sustainable travel options for both mandatory and discretionary trips. More specifically, this study draws on disaggregate data from the South East Queensland household travel survey and presents a latent class choice model to unravel modality style groups. Results reveal two distinct individual-level modality style groups: (1) driving and walking oriented; (2) multimodal travellers. Individuals in the second modality style group were found to be relatively inelastic to FLM travel time for mandatory trips, while individuals in the first group were largely unaffected by built environment characteristics and highly habitual in their mode choice behaviour for both mandatory and discretionary trips. Home residence environments with high road intersection density and public transport accessibility, and home residence environments with diverse land use mix, respectively encourage individuals within the second modality style to walk for mandatory trips, and discretionary trips. To this end, when place-based policies seek to change certain built environment features, individuals in the second modality style are more likely to shift their preference from cars to more sustainable modes. Finally, our findings have practical planning implications in targeting mode shift through highlighting the importance of considering the intersection of individual modality style in a given locale and mode choice behaviour. More specifically, our findings advocate for place-based policies that seek to target particular locales with the certain modality style deemed to be more predisposed to adopting a mode shift.     

Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai,China

In recent years, dockless bike-sharing has rapidly emerged in many cities all over the world, which provides a flexible tool for short-distance trips and interchange between different modes of transport. However, new problems have arisen with the fast and extensive development of the dockless bike-sharing system, such as high running expenses, ineffective bike repositioning, parking problems and so on. To improve the operations of the dockless bike-sharing system, this study aims to investigate the travel pattern and trip purpose of the bike-sharing users by combining bike-sharing data and points of interest (POIs). A massive amount of bike-sharing trips was obtained from the Mobike company, which is a bike-sharing operator in China. The POIs surrounding each trip origin and destination were derived from the Gaode Map application programming interface. K-means++ clustering was adopted to investigate dockless bike-sharing travel patterns and trip purpose based on trip records and their surrounding POIs. The clustering results show that on weekdays, bike-sharing trip origin and destination can be divided into five typical groups, i.e., dining, transportation, shopping, work and residential places. Dining is the most popular trip purpose by bike-sharing, followed by the transferring to other transportation modes and shopping. In addition, through understanding the spatial distribution of the bike-sharing usage patterns of five typical activities, strategies for improving the operation of the dockless bike-sharing system are provided.     

Examining the impact of weather variability on non-commuters’ daily activity–travel patterns in different regions of Sweden

By jointly modelling the routine and leisure activity–travel engagements of non-commuters in different regions of Sweden, this paper explores the interactions between time allocation, travel demand and mode choice under different weather conditions. Combined weather and travel survey datasets that span a period of over 13 years were analysed. Simultaneous Tobit models were applied to explore the interactions among these activity–travel indicators, whilst municipalities’ unique conditions and heterogeneities between different time-points were taken into account. The model results reveal the trade-offs between routine and leisure activities in terms of activity duration, number of trips and travel time. Positive mutual endogeneity was found between slow-mode share in routine and leisure trips. The results also highlight the trade-offs between routine and leisure activities under abnormal weather conditions. Regional differences between weather effects are substantial due to differences in direct, indirect and total marginal effects. Between-municipality variability constitutes a considerable part of the variability in activity duration and travel time. Between-municipality variability in leisure activity duration and leisure travel time is larger in northern Sweden, while that of routine activity duration and routine travel time is larger in central Sweden, after weather and social demographics have been controlled.     

Beyond the journey: the lasting impact of culinary tourism activities

In general, food tourism research has focused on tourist behaviour prior to or during trips, as well as food tourism development and marketing from a destination perspective. This exploratory study investigates food tourism from a broader context to determine if food tourism activities may impact attitudes and future behaviours. Data from a nine-country survey indicate that food activities likely impact trip satisfaction and influence intention to return and likelihood to recommend a destination. Food experiences are connected with memory, and these food experiences and souvenirs may influence destination image and lead to future purchases. Suggestions are provided for further research.     

Residential location and daily travel distances: the influence of trip purpose

This paper investigates the extent to which residential location influences daily distance travelled if travel purposes are differentiated. Statistical multilevel models are applied to Swedish National Travel Survey data from 2005–2006. Travel purposes are categorized by considering time–spatial constraints and hypothesized factors of personal freedom of choice. Results indicate that the influence of residential location on daily distance travelled is highly conditional on trip purpose in a nationwide Swedish context. Although statistically significant proportions of the variation in daily distance travelled to work, on service errands, and on weekdays were dependent on residential location, daily travel distances for leisure activities and on weekends varied greatly among people living in the same neighbourhood. From a policy perspective, these results suggest that measures intended to alter the built environment to reduce the volume of travel will be most efficient as regards work trips, while trips taken during free time are unlikely to be much affected. In addition, the multilevel models applied reveal several important interactions between the variation in travel distances across residential locations and individual characteristics of which researchers should be aware, especially when examining service trips.     

Mobility in different generations of older persons: The development of daily travel in different cohorts in Denmark,Norway and Sweden

In the Scandinavian countries Denmark, Norway and Sweden, the proportion of older people in the total population is expected to reach about 25% in 2060. The ageing of the population has a variety of social implications. One aspect of population ageing that has relatively little attention in the Scandinavian countries is the question of everyday mobility. The purpose of this paper is to get a better understanding of the activity and travel patterns of different groups of older people, examine how travel- and activity patterns are developing during the life course, study the changes over time and how the “new” generations of older people behave compared to the older ones. The method used is cohort analysis of National Travel Surveys from the three countries in a 20 years perspective. Results show a significant period effect in car ownership and use among older people in Denmark, Norway and Sweden with a clear increase during the past 20 years. This is especially true for women. The increase in the number of driver’s licence-holders and car availability is reflected in travel mode choice among older people: both men and women maintain their car-use habits at old age. Another clear finding is that older people today travel more than the comparable age groups 20–25 years ago: everyday trip rates are higher and activities outside home are more common. While commuting and work-related trips decline after retirement, shopping and leisure trips do not start to decline before high age. From the cohort analysis we see that leisure and shopping trips are maintained in the period after retirement, and the car is important to reach shopping malls, health service, leisure activities, visit relatives and other social company.     

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.