Poverty is a key challenge to socioeconomic development globally. However, the degree to which distance from a market contributes to poverty remains unclear. To provide insights into this relationship, we quantified the relationships between distance from markets and the per capita income of rural and urban people in China based on data from 29 provinces and 2651 counties. Our results illustrate the existence of a “geographical curse”; that is, a large separation between producers and consumers can exacerbate poverty for less-affluent rural residents, who pay a larger proportion of their income to send their products to market and to purchase goods from those markets. Programs to alleviate poverty should therefore consider seeking solutions associated with reducing the impact of that distance, such as subsidizing the transport of goods, improving the transportation infrastructure, supporting innovative business practices, and balancing the locations of producers and their markets.

This paper delves into the analysis of the physical flow patterns of users and its subsequent influence on their purchasing behavior. The research methodology encompassed surveying a substantial sample size of 400 users actively engaged with travel applications. The gathered data underwent meticulous analysis employing a combination of descriptive statistics and structural equation modeling techniques. The findings from this study have unveiled noteworthy insights into user behavior within travel applications. It is evident that the inclination to engage with the system has a substantial and positive impact on users’ purchase intentions. Moreover, the motivation behind users’ system usage has a direct bearing on their purchase intentions, primarily mediated by the enjoyment derived from the overall experience. This research underscores the pivotal role played by travel applications in the contemporary travel industry landscape. As travelers increasingly rely on digital platforms to plan their trips and make informed choices, understanding the intricate dynamics of user engagement, motivation, and subsequent purchasing decisions within these applications is paramount. This deeper comprehension not only sheds light on consumer behavior but also empowers businesses to tailor their offerings and enhance user experiences, thereby solidifying the indispensable position of travel applications in the ever-evolving travel sector.

Promoting travelling intention within social media is significant for stakeholders to grasp a new tourism market and cultivate a new model for development of tourism industry. This study aims to understand path of destination image affecting travelling intention, and to investigate the mediation role of perceived value, furthermore, to uncover the role of moderator of situational involvement. This paper conducts a survey on tourists visiting Guilin, collecting 435 questionnaires, and uses the structural equation modeling method to explore how the image of the tourism destination affects tourists’ willingness to travel. The research results indicate that cognitive image, emotional image, and projected image all have a significant positive impact on perceived value, perceived value as a significant mediator to bridge the relationship among the destination image and tourists’ travel intention. Furthermore, situational involvement plays a negative moderating role in the mediating effect of emotional value. This study endeavor will serve to enrich the understanding of perceived value theory, destination image theory, and tourism consumer behavior theory. It will also provide theoretical foundations and policy recommendations for guiding tourism consumer behavior, analyzing destination image perception, and destination marketing.

This paper critically reviews the prevailing generalizations in current research on Generation Z (Gen-Z) travel behavior. While various studies have characterized Gen-Z’s transportation preferences as leaning towards sustainable and technology-integrated modes of transport, this paper argues that the findings are largely based on observations from developed countries and may not accurately reflect behavior in developing countries. This paper is written using a narrative literature study approach. Through a comprehensive literature review, the paper highlights the differences in Gen-Z travel patterns across different geographical regions, emphasizing the need for context-specific analysis. The paper addresses often overlooked factors such as economic limitations, infrastructure challenges, and cultural nuances that shape mobility choices. The aim is to dissect the cohort effect and look at its validity across different socio-economic landscapes through existing literature. As such, the paper provides nuanced insights into the heterogeneity of Gen-Z travel behavior and suggests cautioning against over-generalization, as well as advocating for a more localized approach in transportation policy and planning. The paper also encourages similar research in developing countries to gain a more comprehensive understanding of Gen-Z travel behavior globally.

Through Qualitative Comparative Analysis (QCA) on destination attractiveness characteristics at the country level, this study identifies attribute configurations in the pre- and post-pandemic period to analyze the changes and differences generated by an exogenous event (COVID-19). The results suggest that the destination attractiveness attributes work together, in multidimensional configurations, to increase leisure travel volume. We found an important change in pat-terns/configurations of attractiveness between the pre- and post-pandemic scenarios. Our findings suggest that the destination attributes may change in importance and valuation or disappear for some configurations. The conclusion has implications for the stakeholders related to the destination attractiveness development, showing possible patterns of tourism attributes to guide the action to improve the resilience in the tourism sector and recover these activities in a disaster scenario.

The study, taking China as an example, employs a mixed-method approach of questionnaire surveys and in-depth interviews to explore the differing perspectives of disabled and non-disabled individuals on how to improve the social integration and quality of life of disabled people in developing countries. The study finds that the vicious cycle created by severe accessibility issues in developing countries is the root cause of the disabled’s difficulty in integrating into society. The impersonal barrier-free facilities suppress the desire of the disabled to travel, resulting in fewer disabled people on the streets and less visibility and attention, which leads to poorer accessibility facilities. Secondly, the study also finds that non-disabled people unconsciously show excessive sympathy and compassion when helping the disabled, which affects their self-esteem due to being patronized and helped. This creates two separate “social circles” between the disabled and the healthy. To address these issues, we have designed an application called “AbleMind” where the disabled can share experiences, make friends, seek help, and better integrate into society.