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

Chen, Ching-Fu; Huang, Chih‐Yu

doi:10.1080/13683500.2020.1730309

Cited by 27 publications

(22 citation statements)

References 61 publications

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“…One way to promote a destination previsit is through virtual reality, which can stimulate the tourist’s sensory aspects (Flavián et al , 2021). After the visit, the individual is expected to have had a memorable experience (Zhang et al , 2014) and a consequent intention to revisit (Kankhuni and Ngwira, 2021; Chen and Huang, 2021). The dashed arrow between destination fascination and memorable experience indicates that a person may have been fascinated by a place before intending to visit.…”

Section: Discussionmentioning

confidence: 99%

Factors that make a destination fascinating and motivate (re)visit

Pessoa

Oliveira

Souza

2022

SJME

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Purpose This paper aims to identify how destination fascination is perceived by all participants involved in the tourism sector. Design/methodology/approach An exploratory and qualitative study was undertaken based on a literature review and three focus groups with travelers and tourism and marketing professionals. Findings The findings revealed that different perceptions precede a destination fascination among the three groups and that the construction of fascination is related to other variables. Through consulting the three groups, 12 variables were identified, and a framework was proposed addressing the background of destination fascination and how it relates to memorable experiences and the intention to (re)visit. Another important finding is the need for tourism professionals to collaborate with marketing professionals to meet tourists’ expectations. In addition, it was found that fascination can occur before visiting a place. Originality/value This paper advances the literature on four points: it presents evidence that fascination can occur even before visiting a destination; it verifies which variables are related to the multidimensional construct of destination fascination and how this relationship is observed by the three distinct groups; it identifies how the construction of destination fascination occurs; and it explains how tourism and marketing professionals can help fulfill travelers’ wishes.

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Section: Discussionmentioning

confidence: 99%

Factors that make a destination fascinating and motivate (re)visit

Pessoa

Oliveira

Souza

2022

SJME

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“…The PE construct of this study is a subjective expectation of the consequences of users' disorderly parking of DBS, which is like the existence of perceived risk. A few studies focused on the usage, parking, or search costs [28][29][30]. However, the impact of penalty incentives on users' behavior is rare, hence we considered it necessary to explore the impact of punishment on users' attitude to and behavioral intention of orderly parking behavior in this study.…”

Section: Hypothesis Deductionmentioning

confidence: 99%

Examining the Influence of Moral Norms on Dockless Shared Bicycle Users’ Parking Behavior—An Exploratory Study Based on the Theory of Planned Behavior

Wei

Yang

2022

Systems

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The disorderly parking of dockless shared bicycles (DBS) has brought about great challenges to the use and management of shared bicycles. Although previous research related to the DBS industry has covered many patterns, the psychological mechanisms underlying users’ behavior remain unclear. This study proposed an extended TPB model and recruited 334 participants from diverse professions and geographic locations in China to examine the influence of internal and external factors on users’ orderly parking behavior. It was shown that personal moral norms have a significant direct influence on users’ attitudes toward orderly parking and thus influence the behavioral intention of orderly parking. Users’ perception of parking facilities has significant influence on users’ perceived behavior control and intention of orderly parking. This study indicates that cultivation of users’ moral obligation can help improve users’ intention of orderly parking. Furthermore, governments and DBS companies should work together to provide sufficient parking facilities to DBS users.

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“…Smart card data mainly record the behaviors of buses and metro passengers [35,42], and are useful in urban planning. Shared bike data have recently become very popular due to the environmental protection and trip records they provide, which are useful in the tourist field [43]. Taxi data and smart card data are mainly held by commercial companies and mostly cover only one city.…”

Section: Related Workmentioning

confidence: 99%

Extracting Human Activity Areas from Large-Scale Spatial Data with Varying Densities

Shen

Shi

Liu

et al. 2022

IJGI

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Human activity area extraction, a popular research topic, refers to mining meaningful location clusters from raw activity data. However, varying densities of large-scale spatial data create a challenge for existing extraction methods. This research proposes a novel area extraction framework (ELV) aimed at tackling the challenge by using clustering with an adaptive distance parameter and a re-segmentation strategy with noise recovery. Firstly, a distance parameter was adaptively calculated to cluster high-density points, which can reduce the uncertainty introduced by human subjective factors. Secondly, the remaining points were assigned according to the spatial characteristics of the clustered points for a more reasonable judgment of noise points. Then, to face the varying density problem, a re-segmentation strategy was designed to segment the appropriate clusters into low- and high-density clusters. Lastly, the noise points produced in the re-segmentation step were recovered to reduce unnecessary noise. Compared with other algorithms, ELV showed better performance on real-life datasets and reached 0.42 on the Silhouette coefficient (SC) indicator, with an improvement of more than 16.67%. ELV ensures reliable clustering results, especially when the density differences of the activity points are large, and can be valuable in some applications, such as location prediction and recommendation.

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

Cited by 27 publications

References 61 publications

Factors that make a destination fascinating and motivate (re)visit

Factors that make a destination fascinating and motivate (re)visit

Examining the Influence of Moral Norms on Dockless Shared Bicycle Users’ Parking Behavior—An Exploratory Study Based on the Theory of Planned Behavior

Extracting Human Activity Areas from Large-Scale Spatial Data with Varying Densities

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