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The sharing economy has allowed people from all over the world to more effectively utilize their assets. Owners or controllers of assets in the sharing economy are free to set any price they want subject to prevailing market demand as long as they operate in an imperfectly competitive market environment. This paper examines how various characteristics of an Airbnb listing (size, number of photos, ratings, host responsiveness, superhost status, distance from city centre, etc.) affect the prices of accommodation and determines which factors strongly affect price using weighted least squares (WLS) and quantile regression. A hedonic pricing model was developed and applied to data from the cities of Barcelona, Madrid, and Seville to determine how the different characteristics of an Airbnb listing affect the price of accommodation in these major three Spanish tourist cities. The estimation results, which are resilient to various robustness checks, indicate that overall rating as well as characteristics indicative of the size of the accommodation have the strongest positive influence on price, while the number of reviews and distance from the city centre have the strongest negative influence on price. [ABSTRACT FROM AUTHOR]

Routine activities theory has been the most widely used framework to analyse the relationship between tourism and crime. But beyond crime opportunity, other ecological and structural factors may be present in this relationship. This article analyses whether high levels of tourist intensity are related to higher levels of urban crime in Barcelona (Spain) using the variables of social disorganization theory, that is, concentration of disadvantages, population turnover and ethnic-cultural heterogeneity. Under the hypothesis that the touristification of Barcelona neighbourhoods intensifies population turnover and enhances economical and ethnic-cultural heterogeneity in the area, it is expected that higher levels of tourism are related to higher rates of property and personal crime. To test this hypothesis and the mediating role of ecological variables, negative binomial fit models and simple mediation regression models are used. Findings suggest that higher levels of tourism are related to a higher volume of property and violent crimes in neighbourhoods and that this relationship is mediated by residential instability and national heterogeneity. However, mediation models suggest a negative relationship between tourism and crime when concentrated disadvantages are the mediator factor. The need to rethink the role of the socioeconomic variable in the relationship between crime and touristification is discussed. [ABSTRACT FROM AUTHOR]

Perceived tourist image has been studied from different dimensions. However, destination lighting, as a dimension of the perceived tourist image, has so far been unexplored. This research letter analyses illumination of tourist sites as a dimension of the perceived night-time tourist image. Results show that lighting is a relevant issue for image perception, and is related to the image projected by some monuments and tourist attractions. Results show that age and origin are determining factors of this dimension of image perception. Some managerial and research implications are also considered and discussed. [ABSTRACT FROM AUTHOR]

The aim of this article is to highlight the importance of urban food markets as tourist icons in the current competitive race to create attractive cities. Food markets attract a large number of consumers, both local and tourists. However, their impact on the city and its dynamics should be treated to establish measures to ensure sustainable (compatible) uses for both kinds of users. This calls for the establishment of a system of indicators to determine what level of sustainability food markets are at and facilitate decision-making for the agents involved in their management. [ABSTRACT FROM AUTHOR]

This study examines photographs taken by tourists of Barcelona in order to identify the perceived image of the city. Specifically, the study analyses 3100 photographs uploaded by tourist photographers on the social network Flickr. The method of analysis used was content analysis. The findings demonstrate that Barcelona's perceived image is dominated by a few very popular sights, but also contains a large number of new sights and spaces. These new elements are not of much individual value, but collectively account for a large volume and therefore have the capacity to expand the city's image. This is the long tail of Barcelona's tourist image, providing the city with a new image created by tourists themselves. [ABSTRACT FROM PUBLISHER]