Research on tourist preference toward different tourism destinations has been a hot topic for decades in the field of tourism development. Tourist preference is mostly measured with small group opinion-based methods through introducing indicator systems in previous studies. In the digital age, e-tourism makes it possible to collect huge volumes of social data produced by tourists from the internet, to establish a new way of measuring tourist preference toward a close group of tourism destinations. This paper introduces a new model using social media data to quantitatively measure the market trend of a group of scenic spots from the angle of tourists’ demand, using three attributes: tourist sentiment orientation, present tourist market shares, and potential tourist awareness. Through data mining, cleaning, and analyzing with the framework of Machine Learning, the relative tourist preference toward 34 scenic spots closely located in the Dapeng Peninsula is calculated. The results not only provide a reliable “A-rating” system to gauge the popularity of different scenic spots, but also contribute an innovative measuring model to support scenic spots planning and policy making in the regional context.

In recent years, the rural homestay has developed rapidly against the background of rural-revitalization policies. However, in early 2020, COVID-19 broke out in China, and the homestay industry was faced with a great challenge. It was difficult for self-employed homestays to resist the risks of the pandemic. As a result, defective operation and business failure occurred in some regions. However, rural homestays with a background in the brand, chain and cluster development mode persisted in the market with a diversity of operation principles. This paper tries to set up an evaluation system for understanding the occupancy needs of tourists, in order to improve the ability of rural homestays to resist risks. The article offers a methodology for assessing the tourist experience of rural homestays in coastal areas, with homestays in Dapeng New District of Shenzhen taken as the research objectives. Then, the evaluation system of rural homestays is set up from the perspective of tourist experience. Based on the results of a questionnaire survey and interviews of operators, this paper proposes the tourist experience–importance analysis in Jiaochangwei and Xichong by the importance–performance analysis (IPA) method. Finally, it suggests policy recommendations that can resist high risk based on tourist experience, for the sustainable development of rural homestays in China.

The urban renewal of older districts usually has a significant impact on the sense of place and identity. However, a systematic post-renewal evaluation of older districts with cultural resources based on multi public satisfaction is still lacking. This study takes Nantou Ancient City in Shenzhen, an urbanized village with rich historical and cultural resources, as an example; this study introduces the multi public, including the residents, merchants and tourists, as the evaluation subject. By establishing an evaluation system suitable for the characteristics of Nantou Ancient City, this study explores the existing problems of renewal and transformation, summarizes experiences and lessons and provides a basis for the sustainable development of Nantou Ancient City and the organic renewal of urbanized villages in Shenzhen. First of all, on the basis of combing the existing community renewal evaluation system, especially the satisfaction evaluation and the research on the historical value of the urbanized villages, the historical and cultural value and the renewal and transformation process of Nantou Ancient City are introduced, and the multiple values of Nantou Ancient City are clarified. Secondly, the demand contradiction between the public group and the core stakeholders is analyzed, as well as the internal demand and difference of the public group. After that, combined with field research, literature analysis and network review data analysis, the post-renovation evaluation system of Nantou Ancient City is constructed in terms of six aspects: residential environment, supporting facilities, street space, history and culture, economy, commerce and social culture. Then, the questionnaire is designed for three different groups of residents, merchants and tourists, and the evaluation system is applied to Nantou Ancient City for empirical research. By means of mean analysis, variance analysis and IPA analysis, the similarities and differences of the evaluation of different public groups are compared, which is taken as the basis for summarizing the existing problems in the renovation of Nantou Ancient City, and optimization suggestions are put forward.

This study systematically investigated the ferrate(VI)–ozone combination process for TBBPA degradation. Firstly, the advantages of a ferrate(VI)–ozone combination process were assessed as compared with a sole ozone and ferrate(VI) oxidation process. Then, the performance of the ferrate(VI)–ozone combination process was investigated under different experimental conditions, including the dosing orders of oxidants, dosing concentrations of oxidants, and the initial solution pH. At the same time, toxicity control (including the acute and chronic toxicity) and mineralization were analyzed after optimization. Finally, a mechanism was proposed about the synergetic effects of the ferrate(VI)–ozone combination process for decontamination. The ferrate(VI)–ozone combination process proved to be an efficient and promising technology for removing TBBPA from water. After being pre-oxidized by ferrate(VI) for 3 min and then co-oxidized by the two oxidants, TBBPA of 1.84 μmol L⁻¹ could be completely degraded by dosing only 0.51 μmol L⁻¹ of ferrate(VI) and 10.42 μmol L⁻¹ of ozone within 10 min in wide ranges of pH (5.0–11.0). Up to 91.3% of debromination rate and 80.5% of mineralization rate were obtained, respectively. In addition, no bromate was detected and the acute and chronic toxicity were effectively controlled. The analysis of the proposed mechanism showed that there might exist a superposition effect of the oxidation pathways. In addition, the interactions between the two oxidants were beneficial for the oxidation efficiency of ferrate(VI) and ozone, including the catalytic effect of ferrate(VI) intermediates on ozone and the oxidation of low-valent iron compounds by ozone and the generated ·OH radical.

Our findings shed light on existing theoretical investigations and the sustainable development of urban villages and the policy recommendations are proposed for the sustainable development of urban villages. It is widely acknowledged that public spaces in urban villages play an important role in residents’ everyday lives, and the nighttime activities of most pedestrians are confined to the main streets in urban villages. Main streets are an important public space in urban villages at night and are a focus for comprehensive renovation in China. There has not been adequate research on main streets at nighttime, and such research is necessary to improve the quality of urban spaces and achieve high-quality development. This study used methods such as literature analysis, on-site research, and semi-structured interviews to understand the spatial characteristics of the main streets of urban villages at night and summarize the demands of pedestrians. This study used the Kano model to adjust the structure of the analytic hierarchy process (AHP) model to form the AHP–Kano model and construct an evaluation system based on the evaluation dimension of pedestrian needs. We conducted a questionnaire-based survey of pedestrians on the main streets of Pingshan Village and Nantou Ancient City in Shenzhen, and obtained the dominant categories of pedestrian demands and the results of satisfaction evaluations from the main street spaces of the two urban villages at night. According to on-site research, we analyzed the problems in the main street spaces of the two urban villages at night, and propose targeted renovation suggestions, which have clear value for improving everyday public spaces in urban villages at nighttime.

Aging in place has been proposed in response to increasing aging worldwide. Recently, many community elderly care facilities (CECFs) in China have been built to meet the desire of the elderly to age in place and help them live better in familiar environments. This study instituted a correlation evaluation system between the elderly’s quality of life (QOL) and their satisfaction with CECFs. It assessed the QOL of the elderly in urban communities in Shenzhen and identified the issues of CECFs that led to the elderly’s low QOL. Firstly, a hypothesis of the relationship between QOL and CECF satisfaction was proposed on the basis of previous studies. The QOL–CECF model was verified and tested by structural equation modeling (SEM). It was found that the functional setting, planning layout, and operational management affect the QOL of the elderly. Secondly, this study investigated the issue of CECFs in three types of communities, namely, urbanized village communities, affordable housing communities, and commercial housing communities. A factor-based analysis revealed the intrinsic linkages between and extracted the composite factors of CECF indicators in the three types of communities, revealing the CECF issues that led to low QOL using a QOL–CECF satisfaction analysis. Lastly, this study proposed differentiated strategies for CECFs in urbanized village communities and affordable and commercial housing communities. This study can provide differentiated strategies for CECFs in various types of communities to effectively improve the QOL of the elderly and promote the sustainability of CECFs.