Evaluating travel website motivational communication using a structural equation modelling approach

This study examines online information value structure and its motivational communication competence using the motivational language theory (MLT). MLT explains how communication acts directed by managers to employees generate a greater motivation for work. Five information value dimensions — functional, hedonic, innovation, aesthetic and sign — were identified through literature on the subject of MLT and applied to online information. This study confirmed the multidimensionality of online information and proposed four online information dimensions: experiential (hedonic–innovation), sign, functional and aesthetic. The findings also suggested that experiential (hedonic–innovation) and functional information values have significant effects for travel motivation, including exploration, family togetherness, novelty, escape and socialisation. Copyright © 2010 John Wiley & Sons, Ltd.     

The decline of the traditional travel agent model

This article analyzes the struggle between traditional travel agencies and airlines to gain control of the Spanish airline services market. Also analyzed is the strong emergence of a third player, online travel portals that act as online travel agencies. We use a multinomial logit model to study the influence of 27 socio-economic factors and trip attributes on passenger purchase channel choice. The results show that the profile of a passenger who has a greater likelihood of making his/her bookings online is that of a young person, a student or educated to a high level, a habitual traveler, booking a simple journey and using an LCC. The factors linked to an increased likelihood of making purchases by phone include: being male, middle-aged, on a business or short trip, and the passengers usually use a travel agency. Finally, passengers who are over 65 years of age, with a lower academic level, who use a travel agency and are going to make a more complicated journey, are more likely to purchase their tickets in-store.     

The tourist experience of domestic VFR travellers: the case of Hungary

Visiting friends and relatives (VFR) is the main driver of domestic travel in many countries. This study is one of the first to analyse VFR travel from a perspective of tourist experience. This study aims to investigate the complex dynamics behind VFR-related travel, especially in aspects of trip activities and tourist experience formation. Based on a survey (N?=?879) examining domestic VFR travellers’ trip activities in Hungary, the paper discusses the formation of a tourist experience in context of short-haul domestic VFR travel, especially the role of influencing factors. The results reveal differences between the segments with trip motivation of visiting friends (VF) and visiting relatives (VR) – the two main types of VFR tourists. It was found that independent variables such as VF, staying for longer and participating in leisure and tourism-type activities have a positive effect on tourist experience evolvement; however, factors such as VR, being rather passive during such a visit and focusing on social acts and bonding negatively affect the formulation of a tourist experience. The paper’s novelty and uniqueness lies in applying a new perspective of analysing and discussing VFR travel: the theoretical concept of tourist experience formation.     

Distributed Fascinating Knowledge Over an Online Travel Community

The research goal of this study was to investigate how website design quality and website service quality affect participation behavior in the online travel community by moderating tacit knowledge and commitment. The design of the questionnaire linked it to the invitation message on the three travel communities, of which 235 were returned completed. The finding of the study shows that an online travel community that allows quick manipulation capabilities is likely to attract its members. To succeed, online travel communities have to rethink the way in which they embrace a new art of dialog and collaboration with their members. Copyright © 2012 John Wiley & Sons, Ltd.     

Understanding modal choice for the trip to school

This paper examines the factors that lead parents to select travel modes for their children’s trip to school. It does so with reference to parents whose children attend a suburban school in Auckland, New Zealand, where walking and driving are the two main travel options. Four focus groups were conducted in order to understand parents’ transport decisions. This approach revealed the significance of the following factors: perceived distance and time constraints; concerns about children’s health and fitness, as well as their competence; road safety and congestion issues; and social norms. We conclude that the reasons leading parents to drive are manifold, and, as such, a variety of interventions is needed to promote walking.     

Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai,China

As the propensity to link multiple intermediate stops in a trip chain (a sequence of journeys that starts and ends at home, includes visiting one or more locations) is more prevalent, the relationship between travel mode choice and trip chain pattern aroused the attention of academics. This paper examines two distinct structures to identify the decision process of travelers between travel mode choice and trip chain pattern: one structure in which trip chain pattern organization precedes travel mode choice, another structure in which travel mode choice decision precedes the organization of trip chain pattern. To accommodate multi-day behavioral variability and unobserved heterogeneity in personal characteristics ignored by traditional travel surveys, multi-day GPS data collected in Shanghai is employed to estimate these two structures within Nested Logit (NL) model. The Monte Carlo (MC) method simulates the switch of trip-chaining and mode choice under possible Transportation Demand Management (TDM) strategies based on estimation results. The findings of this study are as follows: (1) trip chain pattern decision precedes travel mode choice, which means trip-chaining is organized first and affects travel mode choice; (2) complex trip chain is related to higher automobile dependency, and it is a barrier to the tendency to adopt public transit; (3) people who generally travel by automobiles might switch to public transit when private cars are unavailable, and an increase in household bicycle ownership enhances competition between the bicycle and public transit which leads people to turn to cycling. These findings help implement TDM strategies to develop sustainable transportation systems and optimize the urban trip structure.     

In search of the ‘good life’: Understanding online grocery shopping and everyday mobility as social practices

Online grocery shopping offers an alternative to everyday grocery shopping, which often requires car travel. A growing marketplace of online grocery shopping services enables distributors to control ‘the last mile’ by which products reach consumers. However, realising the energy-saving potential of online grocery shopping entails addressing several problems, as increased e-commerce does not necessarily mean decreased car use. Today, calculated potential energy savings are based on estimates and assumptions rather than on thorough knowledge of consumers and their preconditions for e-commerce. This paper is based on a survey of 19 households that regularly buy groceries online. Qualitative interviews combined with travel diaries enable discussion of the household members’ rationales, attitudes, expectations, and mobility practices. Online grocery shopping is considered here as a social practice that could contribute to a more sustainable mobility. In line with social practice theory, practices are understood as successful configurations of material, meaning, and competence that are also dependent on networks of other practices. This framing enables discussion of the likelihood that consumers will change mobility practices as an effect of online grocery shopping. The paper suggests that mobility practices results from constraining activities in everyday life, in which urban planning, norms of food and food purchasing, and the search for better quality of life are more decisive than is the practice of online shopping per se. This paper contributes empirically and theoretically to the study of mobility practices and discusses, from a user-centred perspective, the possibility of creating sustainable transport solutions.     

The effect of travel cost on frequencies of shopping and recreational trips in Sweden

This article focus on how the cost of travel affects travel behavior. A trip frequency model for recreational and shopping trips is suggested and used to investigate this. The data that is used comes from a Swedish travel habit survey where the respondents’ trip frequencies of both types of trips on a certain day are recorded. This is likely to introduce a correlation structure, which is incorporated in the model. Special attention is paid to the effect of travel cost on trip frequencies for different regions and income groups. As a measure of the sensitivity of cost changes, elasticity of demand is calculated. The precision of the elasticities are evaluated with simulated p-values.     

Towards an understanding of international city break travel

This paper explores city break tourism and, in particular, the distinctive characteristics of this form of travel. The city break is examined and compared with other types of trips. The research follows a sequential mixed methods approach involving both a visitor survey and in‐depth interviews. The findings show the international city break trip to have a number of distinctive characteristics. These are summarised into five main areas (5 Ds) — duration, distance, date flexibility, discretionary nature and destination travel party. These distinguishing features provide a useful insight into one of the most important yet least examined travel segments in tourism research. Copyright © 2009 John Wiley & Sons, Ltd.     

Uncovering the spatiotemporal patterns of CO2 emissions by taxis based on Individuals' daily travel

Traffic-related carbon dioxide (CO₂) emissions have become a major problem in cities. Especially, the CO₂ emissions induced by taxis account for a high proportion in total CO₂ emissions. The availability of taxi trajectory data presents new opportunities for addressing CO₂ emissions induced by taxis. Few previous studies have analyzed the impact of human trips on CO₂ emissions. This paper investigates trip-related CO₂ emission patterns based on individuals' travel behavior using taxi trajectory data. First, we propose a trip purpose inference method that takes into account the spatiotemporal attractiveness of POIs to divide human trips into different types. Further, we reveal the spatiotemporal patterns of CO₂ emissions from various types of trips, including temporal regularity and periodicity as well as spatial distribution of “black areas”. Finally, comparative analysis of CO₂ emissions for different kinds of trips based on trip behavior is conducted using three variables, namely trip distance, trip duration and trip speed. This study is helpful for us to understand how to make travel and cities more sustainable through modifying people's trip behaviors or taxi trips.     

Virtual interlining within the European airport network: An airfare analysis

Virtual interlining, which covers the actively marketed or ‘non-hidden’ segment of all potential self-connecting flight itineraries, is often assumed to be a money-saving travel strategy. In this paper we assess the price difference between virtual interlined and ‘traditional’ flight itineraries within the intra-European airport network. We query Kiwi.com's recently developed Tequila platform, one of the few specialised online travel agencies (OTAs) offering both ‘traditional’ and virtual interlined flight itineraries, to obtain information on all available flights in the first week of August, October and December 2019. Using a series of sign tests, we investigate whether a statistically significant fare difference exists between the cheapest available (direct and/or indirect) ‘traditional’ and virtual interlined flight itineraries. Our results indicate a statistically significant fare difference between the cheapest indirect ‘traditional’ and the virtual interlined flight itineraries in favour of the latter. However, with regard to direct traditional flight itineraries the results are mixed. We explore the size and the scope of these patterns in more detail, and outline possible avenues for further research.     

Network-based spatial interpolation of commuting trajectories: application of a university commuting management project in Kyoto,Japan

This study presents an application of network-based spatial interpolation of student commuting trajectories from a series of origin–destination trip datasets. In particular, we incorporated multimodal public transportation networks, including bus networks, to estimate the student commuting routes. The student samples for this study were collected from an online travel diary survey conducted by Ritsumeikan University in Kyoto, Japan. The ArcGIS Network Analyst was used to construct spatial network datasets and reconstruct trajectories from the origin–destination trip dataset. In addition, line densities of estimated trajectories were calculated and displayed on maps for geovisualization. These maps helped us understand the precise locations of congestion and spatial patterns of student commuting, unlike linear representations of people’s movements that connect origins and destinations. Our study also showed that estimated trajectories can simulate quantitative impacts on travel time by promoting walking or the use of public transportation.     

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.     

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.     

Determinants of collective transport mode choice and its impacts on trip satisfaction in urban tourism

The continuous growth of tourism has important environmental impacts and transports account for a large proportion of the CO₂ emissions generated by tourists. Understanding the motivations and characteristics of collective transport users in contemporary cities may contribute to promote more sustainable forms of tourism. Based on an extensive questionnaire to international tourists in Barcelona, this study employs a multinomial logistic regression to explore the links among visitors' characteristics, motivations, and means of transportation, while an ordinal logistic regression is applied to investigate whether the preference for collective transport has an impact on the satisfaction with the trip. The novelty of our approach is testing the hypothesis that the choice of collective transports is more related to trip motivations (professional, leisure, or personal) than to socio-demographic or personal characteristics of tourists. The results show that professional travelers are more oriented to the use of private cars, but they prefer collective transports when the length of stay is higher and combined with other trip motivations. Also, using collective transports is linked to high satisfaction with the visit for the tourists using this form of transportation. This study puts forward policy implications and suggestions for future research directions, in particular regarding the utilization of non-motorized forms of transportation cities.     

城市轨道交通智慧乘客综合服务平台方案研究与设计

城市轨道交通乘客服务相关系统和设施设备是提升乘客出行满意度的关键要素。以挖掘数据潜能、释放资源价值为切入点,整合相关系统业务流程,在研究国内城市轨道交通乘客服务智能化发展的基础上,从提升服务体验、优化运营管理、挖掘商业价值3个维度分析乘客服务存在的问题,提出基于中台技术的智慧乘客综合服务平台方案。基于信息资源整合和业务能力抽取,设计乘客画像、出行支持、客流特征、场景模型4大业务中台模块,满足乘客购票、站内引导、资讯获取等方面的服务需求,实现乘客服务与车站信息的协同共享能力。通过设计智能票务、无人客服中心、智能导向、精准营销等典型场景应用,提升服务体验与运营管理水平,促进商业资源开发以满足日益增长的乘客消费需求。     

The structure of joint leisure trips: analyzing two-person leisure trips of Dutch students

This paper investigates the spatial structure of students’ leisure trips and to what extent locational characteristics of social network partners influence decisions about their joint leisure activities and travel. To this end a survey was held among university students asking them about details of their last leisure trip made with a friend. Cluster analysis suggests that four typical leisure trip patterns can be derived. Three clusters seem to be determined by the residential locations of ego and alter. Depending on the residential distance between ego and alter, leisure trip distances are either short for ego and alter (if residential distance is very short), somewhat longer for both (if residential distance is slightly longer) or long for at least one partner (if residential distance is large). A fourth cluster includes cases with long leisure trips for both partners, independent of residential distance, representing cases where specific destinations are visited. A more detailed analysis of travel distance suggests that travel distance depends on size of the residential municipality, residential distance and objective and perceived quality of leisure facilities such as cafés, bars and restaurants. Overall, our study provides support for the idea that leisure trip decisions should be understood on the level of social network ties (i.e. ego and alter) rather than based on individual characteristics only. Also, it provides support for the idea that a focus on single ties, rather than on the structure of social networks as a whole, increases our insight in leisure trip decision making.Keywords: Social network links, Social-recreational travel, Spatial context, Students     

Social inequalities in travel behaviour: trip distances in the context of residential self-selection and lifestyles

In recent years, the framework of ‘classical’ objective determinants of travel behaviour – such as transport systems, generalised travel costs, life situation and the built environment – has begun to make way for the introduction of subjective elements including attitudes, lifestyles, and location preferences. This paper presents findings from an empirical study of trip distances travelled for three purposes (work, maintenance, leisure). The study was conducted in the region of Cologne, and the analysis is based on structural equation modelling. The results indicate that, in general, neither lifestyles nor location preferences have a strong impact on trip distances, except for leisure activities: here lifestyle has the strongest impact of all variables studied. Maintenance trip distances are significantly affected by the spatial setting in which people live, indicating the relevance of the built environment for this travel segment.