Heterogeneous preferences of green vehicles by vehicle size: Analysis of Seoul case

Although there are several policies for promoting green vehicles, green vehicles have yet to penetrate the market to the extent desired. To attain the goal, a complete understanding of consumers’ preferences of green vehicles is essential. This paper proposes and specifies the fuel-type choice models among conventional gasoline vehicles, hybrid electric vehicles, plug-in hybrid electric vehicles, and electric vehicles by vehicle size using the stated preferences data collected in Seoul, Korea. The results highlight the need to accommodate the correlation between similar alternatives and the unobserved heterogeneity within the context of choosing a green vehicle. The choice probabilities of green vehicles are affected by the relative impacts of the vehicles’ attributes and socio-demographic variables, and both of these variables are affected by the sizes of the vehicles. For compact size and mid-size vehicles, the effects of operating costs were less than those of purchase prices; however, for the subcompact vehicles, the effects of operating cost were greater than those of purchase price. The parameter of operating costs was not statistically significant in the full-size model. With respect to electric vehicles, the availability of fuel stations would be more important in Seoul than in the U.S. These results can also be useful for policy makers in that they provide information about the impact of green vehicles’ attributes on the choice probabilities of green vehicles.     

Destination choice and the identity of places: A disaggregated analysis for different types of visitor population environment in the Netherlands

Individual behaviour relates to the ecological structure or identity of places. In this study, we investigated the relationship between the space–time ecologies of different types of visitor population environment in the Netherlands and destination choice. Multinomial logistic regression modelling for car users was applied to determine the relative importance of various personal and household attributes on choosing for a particular purpose a particular type of visitor population environment during a particular time period of the day. The attributes with the strongest link to the space–time ecologies of destination environments proved to be age, educational level, car ownership, and household income and type.     

Fuzzy importance-performance analysis of visitor satisfaction for theme park: the case of Fantawild Adventure in Taiwan,China

This study presents a quantitative analysis of visitor satisfaction and its relationship with tourism attributes in the Fantawild Adventure Theme Park in Taiwan, China. The study applies a fuzzy method and importance-performance analysis (IPA) to determine the range of impact of various attributes on visitor satisfaction. The weight and logical value of satisfaction were determined by using triangular fuzzy variables. Analysis of 389 visitor surveys identified a complex relationship between satisfaction and the following attributes: recreation experience, park service and management, park environment, guidance information, amusement consumption, and park facilities. Recreation experience is the most significant factor in visitor satisfaction, whereas the attribute of park facilities is the least significant. The fuzzy IPA method is a very useful diagnostic tool for theme park managers, who can use it to identify current problems regarding visitor experiences and then assign priorities to improvement measures for such experiences.     

Attribute cut-offs in freight service selection

The paper applies the choice model incorporating attribute cut-offs proposed by [Swait, J.D., 2001. A non-compensatory choice model incorporating attribute cutoffs. Transportation Research: Part B 35 (10), 903–928] to evaluate shippers’ preferences for freight service attributes. A stated preference experiment on a sample of Italian manufacturing firms shows that the marginal utilities of attributes are not constant over the whole range of values presented, and that significant improvements can be made by introducing non-linearities at points specified by individual respondents. It is found that the conventional model overestimates the importance of the attributes, though their relative ranking is maintained. The proposed choice model provides useful information on the difficulty of achieving a modal transfer of freight from road to truck-rail intermodal transport.     

Conjoint Analysis of Tourist Choice of Hotel Attributes Presented in Travel Agent Brochures

The purposes of this study are to demonstrate how it is possible to determine which attributes are the most important in the final choices of tourists who use a travel agent brochure as a source of information and how these attributes influence perceived value in a pre‐purchase stage. We conduct the study in three phases: (i) a qualitative study, (ii) an experiment using choice‐based conjoint analysis by means of a fractional factorial experimental design and (iii) another experiment using a full factorial derived from the same design. Results suggest advertisement size, a hotel's starred rating and price influence perceived value at this stage. The presence of a positive combined effect of price and advertising was found. Implications and directions for future applications are offered, focusing particularly on marketing services. Copyright © 2012 John Wiley & Sons, Ltd.     

Preferences for tourist information centres in the ubiquitous information environment

The rapid development of information communication technology has encouraged tourism authorities to carefully consider the typical duties of tourist information centres (TICs), wherein visitors acquire various kinds of travel information about a particular destination. This study aims to provide useful management implications to help tourism organisations develop feasible TIC operational strategies and implement alternative services in the ubiquitous information environment. To provide a richer understanding of tourists' heterogeneous preferences for TICs, this study makes use of the stated preference choice method with a sample of South Korean domestic tourists. Despite the widespread use of personal mobile devices, our study results suggest that South Korean domestic tourists still prefer to visit various types of TICs to acquire travel information. Results indicate that the TIC visitor group is less sensitive than the non-visitor group to advanced information communication technology and more satisfied with the availability of WIFI signals to facilitate the use of personal mobile devices or laptops. Our respondents also demonstrate their preferences for some TICs constructed with container structures, whereas they showed a strong aversion to visiting booth-styled TICs inside larger buildings. Based on these findings, this study provides several management strategies to fulfil tourists' ever-changing needs.     

Choice modelling with search and sort data from an interactive choice experiment

We present a highly structured, online, interactive choice environment containing a large number of alternatives, a search tool that eliminates alternatives that fail specified criteria, and a sort tool. A conceptual framework is developed that links tool usage and preference heterogeneity, and tested in the context of long-haul flight choice. Individuals who sort on price are more price sensitive; individuals who search on certain attributes have a greater marginal (dis)utility for that attribute; and individuals who perform certain non-price searches have a lesser price disutility. The method shows promise as a means for providing a richer picture of preference heterogeneity.     

The symmetric and asymmetric influences of destination attributes on overall visitor satisfaction

Visitors are impressed by specific destination attributes, which are sometimes the main motivating reasons for the travel selection or sometimes they are just one of the elements of a whole destination experience. This is because tourism and travel products are generally a combination of several different supplier offerings or they are a combination of the natural and artificial attributes of a destination that cannot be fully known before the experience of travel. Moreover, the importance and influence of these attributes on overall visitor satisfaction may differ considerably, depending on the market segments. In recent years, some studies have shown that the influences of destination attributes on overall visitor satisfaction are not symmetric in every case. For the purposes of this study, the symmetric and asymmetric influences of destination attributes are investigated for three major market segments of the Side-Manavgat area, Antalya, Turkey. The results show that the importance and influences of destination attributes may change according to the analysis technique employed and the market segment examined.     

Analysis of the impact of street-scale built environment design near metro stations on pedestrian and cyclist road segment choice: A stated choice experiment

The mismatch between the design of the micro-scale built environment around metro stations and pedestrian/cyclist preferences causes inconvenience and dissatisfaction. How to design streets near metro stations to provide a walking/biking friendly built environment is still a key question in promoting the use of metro systems. To identify which general attributes of the street-scale built environment are relevant for pedestrians/cyclists and increase walkability/cycle-ability, this paper reports the results of a stated choice experiment in which eight built environment attributes were systematically varied: street segment length, average number of building floors on both sides of the street, retail shops in frontage of streets, street crossing facilities for pedestrians/cyclists, width of sidewalks/bicycle paths, greenery, density of street lamps and crowdedness of pedestrian/cyclists to understand their influence on a road segment choice and preferences. A total of 803 respondents were recruited from Tianjin, China to complete the stated choice experiment through on-street face-to-face interviews. A multinomial logit model was estimated to unravel pedestrian/cyclist preferences using the stated choice data. The results indicate that pedestrians and cyclists have similar preferences for road segments with building lower than 6 floors, 50% retail shops in frontage, more greenery, lamps between 15 m and 30 m, more crossing facilities, wider sidewalk/bike lane and not crowded. These significant built environment attributes can be used in urban design projects with a walking/biking friendly built environment around a metro station.     

The implications on willingness to pay of a stochastic treatment of attribute processing in stated choice studies

Individuals processing the information in a stated choice experiment are asked to evaluate a set of attributes offered and to choose their most preferred alternative. It has always been thought that some attributes are not attended to in this process for many reasons, including a coping strategy to handle their perception of the complexity of the choice task. However analysts proceed, with rare exception, to estimate discrete choice models as if all attributes have influenced the outcome to some degree. In this paper we investigate the implications of bounding the attribute processing task by attribute elimination through not attending to one or more attributes. Using a sample of car non-commuters in Sydney we estimate a mixed logit model in which all attributes are assumed to be attended to, and models which assume that certain attribute(s) are not attended to, based on supplementary information provided by respondents. The supplementary information is accounted for in a deterministic and a stochastic way; the latter in recognition of the analyst’s lack of full information on why a specific attribute processing (AP) strategy was adopted by each sampled individual. We compare the value of travel time savings distribution under alternative attribute processing regimes. As expected, there are noticeable variations in the mean and standard deviation willingness to pay (WTP) across the three AP strategies.     

Attributes driving the selection of trucking services and the quantification of the shipper’s willingness to pay

This paper investigates the selection of trucking services by shippers that require the movement of truck shipments. A set of pragmatic attributes are postulated to describe trucking services. They are used in a stated choice experiment that collects data and preferences from shippers. A mixed logit model is estimated in order to test the attributes and quantifying the shipper willingness to pay for them. The results are used to provide meaningful negotiation guidance for truck-related shippers and carriers, a significant contribution to literature in transportation, logistics, and supply chain management. A numerical example illustrates the use of the model.     

Regional airport choice: Consumer behaviour and policy implications

The analysis of origin airports in multi-airport regions has a well established tradition in transportation and regional economics. The main goal of the paper is to estimate the importance of the different attributes that determine origin airport choice. In our case we adopt a stated preference approach to study this problem and evaluate the effects of possible policy interventions. We also perform a detailed segmentation of the sample studied according to the socio-economic variables that prove statistically relevant when interacted with the attributes used to characterise airport choice. Moreover, in order to test for the presence of heterogeneity in agents’ preferences we estimate several mixed logit models with different specifications, including heteroscedasticity and error component. With respect to previous studies we develop and extend the traditional SP approach by also analysing the role and relevance of attribute cut-offs in this research field. The policy simulations produced are based on the estimation of airport-specific attributes. The study concentrates on a multi-airport region in central Italy where four competing airports are located.     

Assessing preferences for mega sports event travel products: a choice experimental approach

Hosting mega sports events spreads positive destination images and generates massive tourism arrivals for the host communities. It is, therefore, important for tourism businesses to better understand what types of travel products, tailored for particular mega sports events, are purchased by sport tourists. Using a choice experimental approach, this study aims to examine how sport tourists formulate their preferences for travel products customized for the 2018 PyeongChang Winter Olympic Games by making intricate trade-offs among various product attributes. We utilize a gender perspective to further understand the preference dynamics embedded in segmented sport tourism markets. Study results suggest that sport tourists put distinctive weights on each of the attributes comprising the Olympic travel products. Gender differences are also identified in sport tourists’ choice decisions for sports event travel products. Based on the study findings, this paper proposes several marketing strategies to meet the needs of targeted market segments.     

Online and off‐line travel packages preferences: a conjoint analysis

Past research has suggested that a number of travel package attributes impact on people's choices. In the present study the impacts of a number of these elements (price, package characteristics, travel agents and a seal of approval) in online and off‐line environments were examined using conjoint analysis. It was found that price had the biggest impact, although travel agent and airline reputation and trustworthiness also impacted on people's preferences. Interestingly, there were no significant differences in the attributes' impacts in the online and off‐line environments. Copyright © 2008 John Wiley & Sons, Ltd.     

Student’s vacation travel: A reference dependent model of airline fares preferences

This article reports the results of student vacation travel choice analysis using a reference dependent model of airline fare preferences. Findings suggests, as expected, that the preferences/utility decreases with increasing levels of cost. The evaluation of the airfare, however, becomes significantly more critical in the regime were low-fare airlines are more expensive than the regular airlines, meaning that price sensitivity for low-fare airlines is higher in this case. Part-worth utility functions for airfare as part of a more general portfolio model of vacation decisions of students suggest that indeed a reference dependent model captures such regimes in utility space.     

Distillery marketing and the visitor experience: a case study of Scottish malt whisky distilleries

Since the 1960s, visitor tours of Scottish malt whisky distilleries have been used by whisky companies to promote their products. The original concept of the visitor as passive observer has evolved to include the notion of visitor as VIP guest in three special interest attractions—connoisseur tours, whisky schools and the Classic Malts Cruise. A value‐attainment construct based on a means–end chain progression is used to illustrate the linkage between distillery attributes and the enhancement of higher values in visitors in the three attractions. Service quality is suggested as a key component of the attractions' success. Copyright © 2007 John Wiley & Sons, Ltd.     

Using GPS Supported Speed Analysis to Determine Spatial Visitor Behaviour

In this paper a new approach to determine spatial visitor behaviour using GPS‐based measurement of tourists' velocity is given. I prove that GPS‐based velocity measurement is valid and feasible, even in urban areas. Furthermore, I illustrate that the possibility to interpret spatial visitor behaviour, as well as the choice of transportation type, can be drawn out of the recorded data. The suggested procedure delivers several benefits for destination and tourism management, given that the knowledge of spatial visitor behaviour is central to a successful and sustainable destination management. As an example, two studies (Freiburg, Berlin) are presented in this paper. Copyright © 2014 John Wiley & Sons, Ltd.     

Segmentation of low-cost flights users at secondary airports

Low-cost carrier services are important for many tourist destinations. However, there is little information about the characteristics of travellers using low-cost airlines, and their flight preferences. The typical segmentation of air travellers is business versus leisure travellers; and business versus tourist fares. We use segmentation analysis focusing on low-cost travellers’ valuations of various flight attributes and trip-related characteristics, most notably those related to destinations, based on a sample of foreign travellers who used Girona Airport, Spain.     

Integration of HSR and air transport: Understanding passengers’ preferences

Different solutions for the integration of high-speed rail (HSR) and air transport could be implemented, ranging from very basic integration to more sophisticated systems which include ticket and handling integration. A discrete choice experiment is conducted to better understand passengers’ preferences. We estimate a number of flexible choice models, taking into account the existence of systematic and random taste heterogeneity. We obtain a range of willingness-to-pay values for service quality attributes, finding some important results that can be used to infer policy conclusions about the real attractiveness of the Air–HSR integrated alternative. In this respect, we find that schedule coordination which reduces connecting time will be crucial.     

Latent class models of international air carrier choice

This paper uses a market segmentation approach to identify airline passengers’ potential segments and preferences toward international air carriers. The modeling approaches consist of the stated preference method and the latent class model. The stated choice experiments were designed based on service attributes in the international airline choice context. Empirical data was collected from airline passengers who have flown from Taipei to Tokyo or from Taipei to Hong Kong. The latent class model accommodating preference heterogeneity outperforms the multinomial logit model as indication of a better approach to analyze airline choice behavior. The latent class model with individual socioeconomic and trip characteristics in segment membership functions also improved model fit relative to the corresponding latent class model without individual characteristics. The values of willingness to pay for service attribute improvements vary across international air routes and segments. Passengers are willing to pay more for better service quality. In order to develop effective marketing and operational strategies for the international air travel market, this study highlights the importance of exploring airline choice behaviors by routes and segments.