Hikers’ intention for pro-environmental behavior (PEB) directly affects the sustainable development of protected areas, but few studies have been conducted from the perspective of theoretical integration. This study explores the intention of hikers’ PEB from the perspective of individual hikers, based on the theory of planned behavior and norm activation theory. Researchers surveyed 456 hikers in Wuyishan National Park, and the data analysis method employed was structural equation modeling. The results demonstrate that the model integrating TPB and NAM was accepted of hikers’ PEB in national park, and for the hiker, internal demand was found to precede external stimulus for their behavior. The study sheds light on how to better comprehend and advocate for PEB in national parks.

The Theory of Planned Behavior (TPB) and the Norm Activation Model (NAM) are often employed to examine behavioral intention, but the perspective and attribute differences of these two models have been largely neglected. This study applies TPB and NAM to analyze and compare the intention of trail tourists to undertake environmentally responsible behavior (ERB), which may directly affect the sustainability of the trail system and the surrounding areas. A survey research approach was employed, and 452 responses were collected from tourists in three national forest trails in China. Beginners and experienced trail tourists were also categorized in the study for comparison purposes. Structural equation modeling was utilized in data analysis. The results demonstrate that the TPB model and the NAM model, which represent rationality and morality perspective respectively, are both suitable in explaining the intention of trail tourists to undertake ERB. Comparatively, the TPB model’s rationality perspective shows applicability in explaining both beginner and experienced trail tourists’ intention of undertaking ERB, whereas the NAM morality model only applies to experienced trail tourists. The study provides insights into better understanding and promotion recommendations of ERB in national forest trails.

The intention of pro-environmental behavior (PEB) directly affects the sustainable development of protected areas, especially national parks, but few studies have done comparative research on tourist and hiker behaviors. This study explores the intention of tourists’ and hikers’ pro-environmental behavior based on theory of planned behavior (TPB) and norm activation theory (NAM). Researchers surveyed 454 tourists and 466 hikers in Wuyishan National Park a structural equation modeling data analysis method. The results demonstrate that the TPB and the NAM were accurate in describing for tourists’ and hikers’ pro-environmental behavior in national park. However, for specific influencing factors, hikers’ attitude, awareness of consequences, and assumption of responsibility were significantly different from those of the tourists. This study sheds light on how to better comprehend and advocate for PEB in national parks and proposes different management approaches to improve the PEB of tourists and hikers.

In the process of hikers’ choosing a destination, searching for information is one of the important elements, playing a decisive role in decision-making. Based on the Baidu Index for “hiking,” this paper analyzes the spatial and temporal characteristics of and factors that influenced network attention to hiking in China from 2016 to 2021. The study found that (1) Network attention to hiking in China was generally relatively stable across the period studied, with highly uneven distribution between different months. The search volume was higher on weekends, and mobile searches increased year by year, far exceeding computer searches. (2) Different regions in China experienced different levels of network attention, with the highest levels in the east, followed by the center, and the lowest in the west. Except for East China, network attention to hiking was highly unevenly distributed within each region. (3) The COVID-19 pandemic increased the geographical concentration index and coefficient of variation but reduced the primacy index. A region’s level of economic development, degree of network development, population size, and population age structure are proposed as factors that affect network attention to hiking.