In recent years, the rapid growth of e-commerce and on-demand delivery services has placed a significant strain on urban logistics systems. Technological advances such as unmanned aerial vehicle (UAV)-based logistics systems have thus emerged as promising solutions in urban environments and are increasingly being piloted worldwide. However, the implementation of UAV logistics risks exacerbating social inequities, particularly in marginalized communities that may disproportionately bear the noise and safety risks. To mitigate these risks, it is crucial to integrate social equity considerations into urban UAV logistics. This study explores social equity factors through a systematic literature review and social media analysis of Xiaohongshu (the Little Red Book), a popular Chinese social media platform known for its extensive user base and active discussions on social issues. This literature review involves a full-text examination, while latent Dirichlet allocation (LDA) topic modeling is used to analyze social media comment datasets. Each method identifies social equity factors and separately assesses their relative importance, resulting in the final identification of 24 key factors that provide a holistic view of public sentiment and academic discourse. The findings reveal a divide between academic concerns around systemic risks and a public focus on immediate needs. By synthesizing these insights, this study provides a social equity landscape for urban UAV logistics and actionable references for policymakers and stakeholders.

Public spaces are spaces that are open to the public, and their publicness denotes the degree to which the space is inclusive, accessible, and representative of collective interests, fostering diverse activities, and ultimately enhancing social cohesion and urban vitality. While existing studies have focused on interpreting and assessing the concept of publicness, few explore its specific impact within public spaces. This study aims to identify the impact of the publicness of public space and develop an assessment model. Based on a literature review, five publicness impacts are proposed: effectiveness, fairness, sense of ease, meaningfulness, and friendliness. Two rounds of questionnaire surveys were conducted on public space users in Hong Kong, with a total of 305 responses received. The collected data were used to test and validate the model through exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modelling (SEM). The developed model offers a robust tool for determining whether a space is public. The findings show correlations among the five impacts of publicness, except between fairness and meaningfulness, which may imply that, in the Hong Kong public space, fairness is a functional or procedural requirement rather than a deep emotional or spiritual connection with the space.