Consequences of development of the sharing economy in tourism for cities – theory and examples

Żemła, Michał; Jaremen, Daria E.; Nawrocka, Elżbieta

doi:10.24917/20801653.351.8

Cited by 3 publications

(4 citation statements)

References 32 publications

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“…Additionally, the problem of uncontrolled development of short-term rentals in typically residential areas needs to be addressed, and contemporary literature does not offer ready solutions (Bei & Celata, 2023; Bugalski, 2020). Solutions implemented in Berlin, Barcelona or Paris (Żemła et al, 2021) seem to be irrelevant in the case of problems exercised in researched cities as they were targeted to the whole area of the city, while in the case of historic cities, there is a need of differentiation of solutions for the city center and for the other districts. However, legal and/or fiscal limits on the number of listings and their offer implemented in a proper and customized way tend to be a promising direction of diminishing tourism pressure in historic cities (Celata & Romano, 2020).…”

Section: Discussionmentioning

confidence: 99%

European historic cities and overtourism – conflicts and development paths in the light of systematic literature review

Żemła

2024

IJTC

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Purpose This paper aims to check if destinations with powerful similarities also show similar tourism/overtourism effects that differentiate them from other destinations. This paper gathers and compares data on overtourism in European historic cities already presented in the existing literature and points out features and problems typical for these destinations. Design/methodology/approach This paper was based on the systematic literature review method, which allowed the author to indicate the most commonly studied European historic cities and the characteristics of overtourism problems. Findings The results of this study reveal that several European historic cities share similar tourism development patterns and the overtourism problems manifest numerous similarities. Significantly, these problems are characteristic of historic cities only and partially different from those observed in European urban destinations such as metropolises. Research limitations/implications This study enhances a proper understanding of overtourism and the contradictory results published in the existing literature. This study is the first step in building a more situational approach to overtourism and adjusting the theory to particular destinations' features. Practical implications The outcome of this study offers local policymakers several hints regarding effectively facing the overtourism problems. Historic cities require special attention when actions toward lowering extreme tourism pressure in monumental zones are implemented and residents' concerns about the spread of tourism, including short-term listings, to residential quarters need to be addressed. Originality/value To the best of the author’s knowledge, this is the first study based on a comparison of similar destinations aimed to develop theory and practical implications devoted purely to a limited number of destinations sharing numerous similarities. The set of coherent theoretical and practical implications designed for a narrow group of cities is to be an essential contribution to the development of research and practice in urban tourism.

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Section: Discussionmentioning

confidence: 99%

European historic cities and overtourism – conflicts and development paths in the light of systematic literature review

Żemła

2024

IJTC

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“…In that case, to manage the number of visitors, cities' authorities imposed limitations on the development of tourism infrastructure. The establishment of new accommodation facilities was temporarily banned in many places in Spain, including in Barcelona [42,53]. In other cities, including Berlin [42] and Paris [53,54], the transformation of residential buildings and flats into short-term tourism rentals was impeded or even banned, which additionally aimed to protect the local real estate market [42,55].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The establishment of new accommodation facilities was temporarily banned in many places in Spain, including in Barcelona [42,53]. In other cities, including Berlin [42] and Paris [53,54], the transformation of residential buildings and flats into short-term tourism rentals was impeded or even banned, which additionally aimed to protect the local real estate market [42,55]. Finally, in Venice and Dubrovnik, limits were implemented on the number of cruise ships [19,46,49,50,56].…”

Section: Literature Reviewmentioning

confidence: 99%

Influence of the Residents’ Perception of Overtourism on the Selection of Innovative Anti-Overtourism Solutions

Żemła¹,

Szromek

2021

Journal of Open Innovation: Technology, Market, and Complexity

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With a constantly and rapidly increasing number of publications, modern expertise on overtourism is becoming increasingly complete. However, a subject that has not been sufficiently presented in the literature thus far is the issue of identifying groups of inhabitants of various destinations that are most severely affected by overtourism and the perception of innovative remedial solutions. In numerous previous publications that analyzed the impact of overtourism on the inhabitants of destinations, the inhabitants were most often treated as a homogeneous group. Therefore, the main goal of this article is to describe the phenomenon of overtourism from the perspective of residents of two Polish tourist destinations and propose innovative solutions to the problem of tourist overcrowding, dedicated to areas with different specificities. Empirical research was conducted among the inhabitants of popular destinations in Poland—Kraków and Białka Tatrzańska—where overtourism has been noted in the scientific literature in recent years. The results allow us to outline significant differences in how the impact of overtourism is perceived by the inhabitants of a large city and a peripheral tourist resort. Additionally, the research demonstrated that respondents who live in the central part of a tourist destination much more clearly perceive their exposure to the effects of overtourism than the inhabitants of other parts, and that this phenomenon is more evident in cities than in resorts. According to the diagnosis of the situation, it was proposed to implement open innovations in the nature of preventive solutions.

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“…Ferreri et al [ 22 ] explored the interrelationship between sharing platform economy companies and governments under the background of sharing economy, analyzing the trade-offs between corporate and public interests. Zemla et al [ 23 ] explored the role of sharing economy in urban economic planning and analyzed the planning options made for the development and implementation of sharing economy in specific cities.…”

Section: Introductionmentioning

confidence: 99%

An enhanced decision-making framework for predicting future trends of sharing economy

Wu,

Tang,

et al. 2023

PLoS ONE

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This work aims to provide a reliable and intelligent prediction model for future trends in sharing economy. Moreover, it presents valuable insights for decision-making and policy development by relevant governmental bodies. Furthermore, the study introduces a predictive system that incorporates an enhanced Harris Hawk Optimization (HHO) algorithm and a K-Nearest Neighbor (KNN) forecasting framework. The method utilizes an improved simulated annealing mechanism and a Gaussian bare bone structure to improve the original HHO, termed SGHHO. To achieve optimal prediction performance and identify essential features, a refined simulated annealing mechanism is employed to mitigate the susceptibility of the original HHO algorithm to local optima. The algorithm employs a mechanism that boosts its global search ability by generating fresh solution sets at a specific likelihood. This mechanism dynamically adjusts the equilibrium between the exploration and exploitation phases, incorporating the Gaussian bare bone strategy. The best classification model (SGHHO-KNN) is developed to mine the key features with the improvement of both strategies. To assess the exceptional efficacy of the SGHHO algorithm, this investigation conducted a series of comparative trials employing the function set of IEEE CEC 2014. The outcomes of these experiments unequivocally demonstrate that the SGHHO algorithm outperforms the original HHO algorithm on 96.7% of the functions, substantiating its remarkable superiority. The algorithm can achieve the optimal value of the function on 67% of the tested functions and significantly outperforms other competing algorithms. In addition, the key features selected by the SGHHO-KNN model in the prediction experiment, including " Form of sharing economy in your region " and " Attitudes to the sharing economy ", are important for predicting the future trends of the sharing economy in this study. The results of the prediction demonstrate that the proposed model achieves an accuracy rate of 99.70% and a specificity rate of 99.38%. Consequently, the SGHHO-KNN model holds great potential as a reliable tool for forecasting the forthcoming trajectory of the sharing economy.

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Consequences of development of the sharing economy in tourism for cities – theory and examples

Cited by 3 publications

References 32 publications

European historic cities and overtourism – conflicts and development paths in the light of systematic literature review

European historic cities and overtourism – conflicts and development paths in the light of systematic literature review

Influence of the Residents’ Perception of Overtourism on the Selection of Innovative Anti-Overtourism Solutions

An enhanced decision-making framework for predicting future trends of sharing economy

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