The coronavirus disease 2019 (COVID-19) has had an unprecedented impact on global tourism, and the tourism industry has not recovered from the effects of the pandemic in most countries. Previous studies have researched the impact of epidemics on the number of tourists, but research on their impact on the tourism flow network is still limited. This research focuses on Hubei Province as a case study by obtaining tourism flow data for 2019 and 2020. This study used network analysis methods to research the impact of COVID-19 on the tourism flow network and its recovery after the pandemic. The results show that COVID-19 has a substantial short-term impact on tourism flow, with a recovery period of approximately 20 weeks. However, there are differences in recovery in various regions. The tourism flow network in large cities and areas severely affected by the pandemic recovered slowly, while rural and natural scenic spots recovered faster. Simultaneously, the attraction radiuses of tourist destinations shrank significantly, and tourist markets became more concentrated. Meanwhile, destinations in the suburbs, rural areas, and small cities obtained new opportunities in the short term. Finally, this research provides suggestions for the recovery of tourism after the pandemic.

Through the online booking platform, 10,543 big data of spatial and temporal distribution of Beijing hotel industry has been obtained in this paper. Then, the methods of GIS and the geographical detector are used to study the spatiotemporal evolution process and the influencing factors of Beijing hotel industry during 2003–2018. The results are as follows: a. During the period of 2003–2018, the hotel industry in Beijing maintained a high growth rate and had three growth peaks in 2008, 2010 and 2014. Meanwhile, major historical events, such as the Olympic Games had a significant influence on the development of the hotel industry. b. Between 2003 and 2018, the hotel industry in Beijing gradually developed from the centripetal agglomeration to aggregation + diffusion, and also from the single center to the multi-center. Besides, various hotels presented two characteristics of city orientation and scenic orientation. c. The natural geographical environment had shaped the overall pattern and characteristics of the spatial distribution of the hotel industry in Beijing, and the socio-economic factors such as commercial activities, public facilities, tourism services and traffic conditions significantly influenced the location selection of the hotel industry. Therefore, the urban center is the ideal area for the spatial layout of the hotel industry. d. Geographical detector research showed that the factors, such as administrative organs, road network density, leisure and recreational facilities, and companies have strong explanatory power for hotel location selection, which is an important reference index for hotels to select the micro location. This paper is a beneficial supplement to the existing research and has certain guiding significance for the sustainable development of Beijing hotel industry.

This study analyzes the impact of the COVID-19 pandemic on rural tourism and the subsequent recovery process from the perspective of mobility. The results show that the pandemic has exacerbated the time–space restrictions on tourist mobility, and the recovery process of different types of rural tourist destinations differs. Although tourist numbers in some rural areas have increased, the rural tourism market has not fully recovered and is struggling to grow significantly after the pandemic; thus, local governments and managers need to adopt prudent and diverse governance policies. The study criticizes the current research and holds that over-optimistic feelings have covered up the dilemma of rural tourism, violated the rights of vulnerable rural groups to have their voices heard, and may further exacerbate the uneven development of rural tourism. This study provides new insights that have important implications for future research on rural tourism.

The concept of strong sustainability suggests that natural capital is irreplaceable and emphasizes that human natural consumption cannot exceed the carrying capacity of the ecological environment. In the realistic context of tightening resource constraints and ecological degradation, how to explore the optimal economic and well-being output under certain ecological constraints has become an important topic in sustainability research. Ecological well-being performance (EWP) can comprehensively reflect the efficiency of natural resources and ecological inputs into the well-being level and has become an important tool for sustainable development research. Based on strong sustainability, this paper constructs an EWP evaluation index system. It decomposes EWP into two stages: ecological economy and economic well-being, which opens the “black box” of the ecological well-being conversion process. PCA-DEA, the network super-efficiency Epsilon-based measure (Network SEBM) model, and Geodetector are used to dynamically measure the EWP in the Three Gorges Reservoir Area (TGRA) from 2010 to 2020 and analyze its spatial and temporal characteristics and influencing factors. The results show that (1) temporally, the EWP in the TGRA shows an increasing trend from 2010 to 2020, but the overall level is low. Spatially, it shows a high pattern in the east and low in the west, and spatial differences are gradually decreasing; (2) ecological economic efficiency is significantly lower than economic well-being efficiency, and ecological economic efficiency is the main reason limiting the improvement in EWP in the TGRA. The ecological well-being situation of the TGRA is not optimistic; (3) there is an overall problem of excessive ecological input and insufficient per-capita GDP and well-being output in the TGRA, and decisions should be made according to local conditions; (4) the level of economic development has an EWP level that plays a dominant role and also has a greater relationship with the policy system, socioeconomic conditions, and natural environment.

道路是交通与旅游融合发展的核心载体，重新审视道路的功能内涵与价值意义，对于推动“交旅”融合发展，助力交通强国、旅游强国建设具有重要意义。论文以路学、风景道、遗产廊道等理论为基础，以新疆独库公路为案例地，运用网络民族志等研究方法，分析“交旅”融合背景下道路的功能演变与意义重构过程。研究发现，“交旅”融合并非交通与旅游的简单叠加或单向耦合，而是打破二者的理论边界实现深度共生，最终形成兼具多重功能的复合空间。作为“交旅”融合的核心载体，道路在通勤的基础之上，衍生出景观、游憩、文化、精神等多元功能，推动其由单一旅游通道向复合型旅游廊道转型发展。道路功能演变契合了流动性时代旅游者“行游一体”的核心需求，使其成为旅游行为发生与意义建构的新场域，从而由机械的物理空间转变为具有复杂含义的线性旅游地。研究的理论贡献在于引入“线性旅游地”概念，整合了工程、景观、遗产等不同学派的理论观点，构建了“交旅”融合背景下旅行道路研究的理论分析框架。同时，通过重新阐释交通与旅游的关系，实现了从旅游通道到线性旅游地的理论拓展，对于完善旅游地理学的理论体系具有启示意义。此外，研究提出加快线性旅游地建设、挖掘道路多元价值、关注旅游者情感体验、构建跨界协同机制等政策建议，为推动“交旅”融合发展提供了实践参考。