The landscape is a synthesis of cultural and natural processes in a place that can be designed and maintained to improve and regenerate the natural benefits and services of ecosystems. The Sustainable Sites Initiative has developed a rating system that identifies and advances best practices for landscape architecture. The SITES v2 Rating System was produced through a multi-year iterative process and incentives sustainable landscape practices by using an ecosystem services framework. Opportunities for continuing research on how SITES v2 encourages the creation of a landscape sustainability system and drives more sustainable land development will become apparent as it expands in application, scope, and impact. To illustrate the practice and potential of SITES v2 for sustainable landscape design, this research is primarily a literature review with the specific context of the SITES gold-certified project, Navy Pier in Chicago. The results show that SITES v2 is an important tool for transforming theory into the implementation of ecosystem services and guiding design decisions towards sustainable outcomes. It also promotes the entire project's accountability to a higher standard of best practices and results in a more sustainable site. In the context of contemporary landscape architecture practices, SITES v2 may lead to the transformation of sustainable landscape design. This study can promote the ongoing application of SITES v2 and the creation of a better sustainable landscape through design. It holds the potential to highlight how the methodology on which SITES has been created can be linked with the development of future cities and the management of urban landscapes.

While traditional visitor perception studies rely heavily on questionnaire surveys with limited samples, there is a lack of data-driven approaches that can comprehensively capture and analyze large-scale visitor feedback. This study employs machine learning methods, particularly the Latent Dirichlet Allocation topic model, to analyze large-scale User Generated Content data collected from Xiecheng.com, one of China's largest online review platforms. Based on the case study of Wuhan Garden Expo Park, this research constructing a multi-dimensional evaluation framework for visitor perceptions in suburban parks. Analysis of 3,099 valid reviews identified four main dimensions of visitor perception: service quality and overall evaluation, natural landscape, recreational activities and entertainment, and cultural and educational experiences. The study quantitatively assessed attention and satisfaction levels across these dimensions. Service quality and overall evaluation received the highest attention (36.1%) and high satisfaction (19.19), while natural landscape showed moderate attention (26.8%) and satisfaction (17.74). Recreational activities and entertainment exhibited a “high attention-low satisfaction” pattern, revealing potential improvement. Cultural and educational experiences presented a “low attention-high satisfaction” characteristic, suggesting untapped advantages. These findings validate the multi-dimensional nature of visitor perceptions and highlight suburban parks' unique attributes. The results provide data-driven insights for park management, emphasizing balanced resource allocation and visitor expectation management. This study demonstrates the value of machine learning in tourism research, offering a new methodological perspective for visitor perception studies.