In the contemporary context marked by globalization and the growing prominence of sustainable development, assessing urban tourism competitiveness has emerged as a crucial research domain. This paper aims to develop a comprehensive model for evaluating city tourism competitiveness, grounded in the principles of sustainable development. The model incorporates factors such as city tourism resources, environmental considerations, economic aspects, and societal factors. This holistic approach seeks to offer valuable insights for the city tourism industry. The study conducts a thorough analysis of current research both domestically and internationally, highlighting gaps and articulating the objectives and significance of the research. Employing a machine learning-based empowerment method, the paper determines the significance of evaluation indices and utilizes the Topsis method for assessing urban tourism competitiveness. Distinguishing itself from traditional evaluation methods, this model integrates the principles of sustainable development throughout the evaluation process, with environmental, social, and economic sustainability serving as pivotal evaluation indicators. Empirical analysis involves the evaluation of tourism competitiveness for select cities, facilitating inter-city comparisons. Results from empirical studies demonstrate the model\'s effectiveness in evaluating urban tourism competitiveness, providing targeted developmental recommendations for urban tourism.

The increasing overlap of resources between human and long-tailed macaque (Macaca fascicularis) (LTM) populations have escalated human-primate conflict. In Malaysia, LTMs are labeled as a \'pest\' species due to the macaques\' opportunistic nature. This study investigates the activity budget of LTMs in an urban tourism site and how human activities influence it. Observational data were collected from LTMs daily for a period of four months. The observed behaviors were compared across differing levels of human interaction, between different times of day, and between high, medium, and low human traffic zones. LTMs exhibited varying ecological behavior patterns when observed across zones of differing human traffic, e.g., higher inactivity when human presence is high. More concerning is the impact on these animals\' welfare and group dynamics as the increase in interactions with humans takes place; we noted increased inactivity and reduced intra-group interaction. This study highlights the connection that LTMs make between human activity and sources of anthropogenic food. Only through understanding LTM interaction can the cause for human-primate conflict be better understood, and thus, more sustainable mitigation strategies can be generated.

Facing the current situation of tourism and urban prosperity and development, whether there is a contradiction between urban tourism and urban development, and whether they can always coordinate with each other will affect the sustainable development of both. In this context, the coordination of urban tourism and urban development has become an urgent research object. Based on the statistics of twenty indicators of urban tourism and urban development in Xiamen from 2014 to 2018, the article uses the TOPSIS analysis method to develop the number of tourists. Research results show that (1) the selected indicators all showed significant growth characteristics, and over time the coordination coefficient increases year by year and gradually approaches the ideal optimal value. (2) Among them, 2018 has the highest coordination coefficient, 0.9534. (3) The occurrence of \"big events\" has a double-sided effect on urban tourism and development coordination.

This paper contributes to the post-Covid urban tourism debate. It focuses on how cities respond to the pandemic asking how and to what extent urban destination brands are leverged by city marketers for coping with the Covid-19 crisis. It explores city brand values and attributes change as a component of the urban approach to facing the current crisis. Content analysis is carried out on pre- and post-pandemic brand communication of four Italian iconic cultural destinations (Rome, Florence, Venice and Milan) on Instagram. Findings suggest adaptive and transformative brand responses to the pandemic crisis, projecting the cities into future development scenarios. This research contributes to the recovery versus reform debate on post-Covid urban contexts and opens research on the pandemic effects on values, images and tourism stakeholders\' mindsets and brand experimentation on social media platforms.

The narrative of sustainable tourism transition in a context of adaptation to climate change is very relevant internationally. The availability and sharing of knowledge and information is a basic requirement for the successful planning of the tourism sector regarding this phenomenon. Planning adaptation in the urban tourism sector is widely regarded as a collectively-based process. However, collaborative planning is far from being the standard. This study reports the results of a Modified Delphi Approach (MDA) among experts about the future of urban tourism in a context of adaptation to climate change in Porto Metropolitan Area (Portugal), considering the outdoor thermal conditions perspective. Using an expert panel, the study gathered their opinions to analyze the degrees of responsibility of the main sectorial entities at different territorial levels, the conditions of action in the transformation agenda and the measures to be implemented in the adaptation and mitigation process - according to priority and time horizon. Two rounds were carried out to apply the methodology between January and April 2021. The first questionnaire had the participation of 47 professionals. 34 out of the 47 professionals of the 1st round participated in the second questionnaire. The evidence from different stakeholders demonstrates that there is an ambiguous process of understanding the problem, information needs, and a weak interaction between actors - resources - tasks. The effectiveness and efficiency of collaborative planning and outlined goals by 2050 for adaptation of urban tourism sector to climate change can be hampered. Experts consider the creation of structural (tangible) measures to be fundamental. Among other results, it was found that most participants consider that the intervention is dependent on the guidelines issued by the government and municipal councils when it comes to defining a proposal for adapting the urban tourism sector to climate change. Despite this, the options for more sustainable practices must be based on three axes: (i) solutions based on the energy sector in the hotel industry (e.g., energy certification, prioritization of the use of renewable energy); (ii) improvement and expansion of green infrastructure for tourist enjoyment [e.g., creation of green areas (small additional pockets), namely in the center of Porto; and pedestrianization of central areas of the city] and (iii) network participation through the collaboration of various stakeholders with relevance in tourism and urban planning.

UNASSIGNED: The significance of national tourism in the global data highlights the importance of studying the characteristics of Spanish tourists that show interest in visiting Valencia (Spain). Personality traits might influence tourism behavior, and their importance has scarcely been addressed in the prior tourism literature.
UNASSIGNED: We aimed to identify the touristic profiles of national tourists based on their lifestyles and to analyze the influence of personality traits in tourism segmentation.
UNASSIGNED: 329 individuals participated in this study, they responded questionnaires about sociodemography, personality, lifestyle and a 3-item questionnaire developed by the authors. We performed analysis to obtain profiles by lifestyle, we carried out tests to study differences in personality traits among profiles and we analyzed the effects of the responses to the author-developed questionnaire and the demographic characteristics of the subjects on their cluster membership.
UNASSIGNED: The results show that this market can be segmented into four clusters. We found significant statistical differences in personality traits among profiles. In addition, the authors present an author-designed questionnaire that, together with demographic variables, is able to predict participants\' profiles.
UNASSIGNED: The results suggest that lifestyle is an appropriate indicator for this market segmentation and the analysis of its relationship with personality provides a deep comprehension of the resulting profiles. In addition, the profile prediction by the responses to the author-developed questionnaire constitutes a new basis for tourism segmentation, as these predictors might be used as \"quick touristic classifiers\".
UNASSIGNED: The study of decision-making processes in tourism allows researchers and sellers to predict tourist behaviors and adapt offers to tourists\' preferences and interests.

Tourism resources are the prerequisite and basis for urban tourism development. Unlike mineral products and oil, tourism resources are renewable. How to find, create, manage, and maintain urban tourism resources will determine if they can be used sustainably. As the traditional coastal tourist city of China, Weihai does not have obvious advantages compared with other areas, so Weihai should develop a new tourism resource, an \'exotic culture\' resource, offered by regional advantage. The paper will explore the feasibility of developing an \'exotic culture\' resource for Weihai tourism in order to fulfil the sustainable utilization and development of tourism resources.

Promoting a tourist destination requires uncovering travel patterns and destination choices, identifying the profile of visitors and analyzing attitudes and preferences of visitors for the city. To this end, tourism-related data are an invaluable asset to understand tourism behaviour, obtain statistical records and support decision-making for business around tourism. In this work, we study the behaviour of tourists visiting top attractions of a city in relation to the tourist influx to restaurants around the attractions. We propose to undertake this analysis by retrieving information posted by visitors in a social network and using an open access map service to locate the tweets in a influence area of the city. Additionally, we present a pattern recognition based technique to differentiate visitors and locals from the collected data from the social network. We apply our study to the city of Valencia in Spain and Berlin in Germany. The results show that, while in Valencia the most frequented restaurants are located near top attractions of the city, in Berlin, it is usually the case that the most visited restaurants are far away from the relevant attractions of the city. The conclusions from this study can be very insightful for destination marketers.

Expansion of urban tourism in historic districts in European cities is putting increasing pressure on these areas as places to live. In Amsterdam, an ever-growing number of tourists visit the famous canal district, which also forms the home of a group of long-term, upper-middle-class residents. While such residents are generally depicted as instigators of urban transformation, in this case, they are on the receiving end. Bringing together the literature on the socio-spatial impact of tourism, belonging and the lived experience of place, this article explores the changing relationship between these established residents and their neighbourhood and provides insight into their growing sense of discontent and even powerlessness in the face of neighbourhood change.

Weather and climate are important natural resources for tourism and recreation, although sometimes they can make outdoor leisure activities less satisfying or even impossible. The aim of this work was to determine weather perception seasonal variability of people staying outdoors in urban environment for tourism and recreation, as well as to determine if personal factors influence estimation of recreationist actual biometeorological conditions and personal expectations towards weather elements. To investigate how human thermal sensations vary upon meteorological conditions typical for temperate climate, weather perception field researches were conducted in Warsaw (Poland) in all seasons. Urban recreationists\' preference for slightly warm thermal conditions, sunny, windless and cloudless weather, were identified as well as PET values considered to be optimal for sightseeing were defined between 27.3 and 31.7 °C. The results confirmed existence of phenomena called alliesthesia, which manifested in divergent thermal perception of comparable biometeorological conditions in transitional seasons. The results suggest that recreationist thermal sensations differed from other interviewees\' responses and were affected not only by physiological processes but they were also conditioned by psychological factors (i.e. attitude, expectations). Significant impact of respondents\' place of origin and its climate on creating thermal sensations and preferences was observed. Sex and age influence thermal preferences, whereas state of acclimatization is related with thermal sensations to some point.