In the context of escalating city competition, the development of sports cities is regarded as a potential pathway for attracting young populations. However, there is a paucity of systematic explanations regarding the psychological mechanisms that inf...
In the context of escalating city competition, the development of sports cities is regarded as a potential pathway for attracting young populations. However, there is a paucity of systematic explanations regarding the psychological mechanisms that influence young people's decisions to settle in a city within a sports context. This study adopts the Cognitive–Affective–Conative model as its theoretical framework and constructs a structural model. The study aims to reveal the formation mechanism of Generation Z tourists' settlement intentions in the context of sports cities. Based on 897 valid questionnaires collected from Generation Z individuals who participated in sports city tourism, this study conducts empirical analysis using Structural Equation Modeling and the bias-corrected Bootstrap method. The study found that: (1) all three dimensions of sports city service quality have a significant positive impact on perceived city image, with service quality having the most significant effect; (2) perceived city image significantly enhances individual perceived value; (3) the direct effect of perceived value on settlement intention is not significant; (4) city identity and a sense of belonging significantly influence settlement intention; (5) city identity and a sense of belonging play a key mediating role between perceived value and settlement intention. This study enriches the theoretical understanding of the psychological mechanisms underlying young people’s residential decision-making in sports city research. It provides a theoretical basis for cities to attract young populations. Future research could conduct comparative analyses in cross-cultural and cross- regional contexts. It may also incorporate longitudinal designs to enhance the robustness of causal inference. Subsequent studies may include variables such as employment opportunities and policy environments in the analysis. This would enable the construction of a comprehensive explanatory model integrating psychological mechanisms and institutional factors.