Public bike system pricing and usage in Taipei

Although widely implemented, public bike systems (PBSs) are facing a conflict between system usage and sustainable financing. The relationships between PBS pricing and usage must be clarified to formulate solutions for the conflict. This research used the Taipei PBS, YouBike, as a case study. A stated preference survey was conducted on metro passengers, and a binary logit model was applied to analyze the pricing effects of PBS on passengers’ choice of using PBS as their transfer mode. A latent class model was also used to identify segment-specific preferences. The empirical data show that whether commuters used PBS as a transfer mode was highly dependent on the basic fee and basic period, but not on the variable fee after the basic period; the basic fee mattered to a commuter's choice more than the basic period; irregular PBS users were more sensitive to the basic fee than regular PBS users; and regular PBS users were more sensitive to the basic period than irregular PBS users. The current results broaden the understanding of how PBS pricing affects its usage and illustrate a pricing policy analysis for YouBike that considers sustainable financing and system usage.     

Investigating the effects of a shared bike for tourism use on the tourist experience and its consequences

ABSTRACT

As public bike-sharing systems have been widely set up in cities around the world, a shared bike for tourism use can enhance tourists’ experience at destinations and lead to tourists’ post-visit evaluations. Thus, this research explores the attributional effects of the value of using shared bikes (namely, instrumental value and affective value) on tourists’ emotional experience (namely, hedonics and perceived uniqueness) as well as on satisfaction and destination loyalty. We obtain a sample of 302 tourists using shared bikes as transport modes during their visits to examine the proposed relationship model. Results show that both instrumental and affective values of shared bike use positively relate to hedonics and perceived uniqueness experiences. While both hedonics and perceived uniqueness have positive effects on satisfaction, only perceived uniqueness shows a positive effect on destination loyalty. The findings of multi-group analyses indicate that the direct effects of the tourism experience on destination loyalty are significantly positive for the low-motivation group but not for the high-motivation group. Empirical implications and recommendations for future research are also discussed herein.     

A comparative automated content analysis approach on the review of the sharing economy discourse in tourism and hospitality

Using the sharing economy (SE) as the context, this article provides a coherent and nuanced methodological understanding of automated content analysis (ACA) in tourism and hospitality (TH) field. By adopting a comparative ACA approach, the paper compares the current TH Western academic literature of the SE with news media discourse in TH from the period 2011–2016 (August) (inclusive). The emerging issues from the news media discourse, such as mobility, SE companies and the role of government, are absent in current tourism academic research. Findings reveal that ACA can facilitate a more systematic comparison between different sources of data. This paper offers a starting point for tourism scholars to methodologically engage with ACA that can draw useful insights on a particular context.     

Perceiving Airbnb as sharing economy: the issue of trust in using Airbnb

Airbnb is a growing business and has received much research attention. However, no research has specifically examined complaints against Airbnb. Understanding complaints serves not as a way to help improve services but provides an insight into guests’ perception of the Airbnb. I examined 664 reviews on sitejabber.com to study the common complaints and whether they are related to the perception that Airbnb is sharing economy. Using a grounded theory approach, I performed a content analysis of complaints. Besides customer service and technology challenges, one major complaint against Airbnb is their faded trust through their experiences.     

The impact of sharing accommodation on the hotel occupancy rate in the kingdom of Swaziland

This paper examines the relationship and impact of sharing accommodation on the hotel occupancy rate (HOR) from a developing country perspective. Using panel data on the monthly HOR and the number of Airbnb room occupancy rate for the periods 2012–2016 and 2015–2016, respectively, the study applies a hierarchical regression model to respond to the research questions. The Pearson correlation test reveals a positive relationship between the HOR and Airbnb room occupancy rate, thus indicating that an increase in the hotel room occupancy rate moves in tandem with a rise in the Airbnb room occupancy rate. Further test revealed that increase in the Airbnb room occupancy rate coincided with an increase in the hotel room occupancy rate. In addition, the Airbnb platform was found to appeals to a different tourist market profile than does that of hotels, and that, therefore, the two products may be viewed as non-competitors. Furthermore, inconsistencies in regulatory provisions, in terms of which hotels are required to undergo various legal procedures as opposed to such platforms, are evident. The study recommends that the Swaziland Government should undertake stakeholder consultations aimed at developing regulations to manage and monitor sharing accommodation platform participants that will incorporate its innovative and diverse dimensions. The study is important as it provides insights into tourism destination managers on the impact of the sharing economy from a developing country perspective where empirically based research that could be useful in policy formulation is scant.     

A GPS data-based analysis of built environment influences on bicyclist route preferences

This study examines the effects of built environment features, including factors of land use and road network, on bicyclists' route preferences using the data from the city of Seattle. The bicycle routes are identified using a GPS dataset collected from a smartphone application named “CycleTracks.” The route choice set is generated using the labeling route approach, and the cost functions of route alternatives are based on principal component analyses. Then, two mixed logit models, focusing on random parameters and alternative-specific coefficients, respectively, are estimated to examine bicyclists' route choice. The major findings of this study are as follows: (1) the bicycle route choice involves the joint consideration of convenience, safety, and leisure; (2) most bicyclists prefer to cycle on shorter, flat, and well-planned bicycle facilities with slow road traffic; (3) some bicyclists prefer routes surrounded by mixed land use; (4) some bicyclists favor routes which are planted with street trees or installed with street lights; and (5) some bicyclists prefer routes along with city features. This analysis provides valuable insights into how well-planned land use and road network can facilitate efficient, safe, and enjoyable bicycling.     

Inequalities in the London bicycle sharing system revisited: impacts of extending the scheme to poorer areas but then doubling prices

Cycling confers transport, health and environmental benefits, and bicycle sharing systems are an increasingly popular means of promoting urban cycling. Following the launch of the London bicycle sharing system (LBSS) in 2010, women and residents of deprived areas were under-represented among initial users. This paper examines how the profile of users has changed across the scheme’s first 3 years, using total-population registration and usage data. We find that women still make fewer than 20% of all ‘registered-use’ LBSS trips, although evidence from elsewhere suggests that the introduction of ‘casual’ use has encouraged a higher overall female share of trips. The proportion of trips by registered users from ‘highly-deprived areas’ (in the top tenth nationally for income deprivation) rose from 6% to 12%. This was due not only to the 2012 LBSS extension to some of London’s poorest areas, but also to a steadily increasing share of trips by residents of highly-deprived areas in the original LBSS zone. Indirect evidence suggests, however, that the twofold increase in LBSS prices in January 2013 has disproportionately discouraged casual-use trips among residents of poorer areas. We conclude that residents in deprived areas can and do use bicycle sharing systems if these are built in their local areas, and may do so progressively more over time, but only if the schemes remain affordable relative to other modes.     

A general framework for collecting and analysing the tracking data of cruise passengers at the destination

Cruise passengers’ behaviour at the destination is a rather poorly investigated phenomenon. The single exit/entry point and the relatively brief visiting time, which characterize cruise passengers’ experience at their destinations, make the use of GPS technology particularly suitable for the analysis of such a relevant phenomenon. The aim of this research is to propose a general framework for collecting and analysing GPS tracking data relating to cruise passengers’ behaviour at their destination. The main prerequisites and research stages for the implementation of surveys on cruise passengers will be described and a set of tools and measures for the analysis of GPS tracking data will be proposed, together with their potential applications. As examples of case studies, two surveys performed in the ports of Palermo and Dubrovnik will be described and the main results of the collated information will be presented. Improving our understanding of the behaviour of cruise passengers at their destination is particularly relevant for the management of tourism destinations, given the challenges that this growing phenomenon is posing for many port destinations in the Mediterranean.     

Applying a New Model of Customer Value on International Air Passengers' Market in Taiwan

This paper proposes a new model to discover customer value of air passengers by using data mining technologies. The results of this research can be applied in database marketing systems. The procedure applies See5/C5.0 (RuleQuest Research Pty Ltd, St Ives, New South Wales, Australia) decision tree; transaction records; Frequency, Price Discount, Destination and No‐Show (FPDN model; Recency, Frequency and Monetary model based) model variables; and socio‐economic variables to create decision rules for airline business. An empirical case of air passengers' market in Taiwan is implemented for the identification of this procedure and the Frequency, Price Discount, Destination and No‐Show model. Copyright © 2011 John Wiley & Sons, Ltd.     

A Comparison of Residents' Perceptions in Two Cruise Ports in the Mediterranean Sea

This paper examines residents' perceptions of a wide set of externalities exerted by the development of cruise tourism. The research involved data collection in two ports located in the two largest Mediterranean islands, Sicily and Sardinia, during the summer peak of the cruise season 2011. These two cruise destinations are especially interesting as they are characterized by a distinct life cycle. The empirical findings show that the two groups of residents have statistically equal perceptions on cruise activity in their destination. A correspondence analysis shows that residents have an overall positive attitude on the development of cruise tourism with respect to social, cultural and economic impacts. Nevertheless, they also feel that cruise activity has a negative impact, especially on the environment. Heterogeneity in occupation is explicitly taken into account. These findings provide directions for local policy‐makers. Copyright © 2012 John Wiley & Sons, Ltd.