Lan Luo

This book responds to the need for a comprehensive and detailed theoretical framework and systemic design approaches to improve mental, physical, social, behavioral, and ecological health in urban environments.Although rapid urban development has created enormous economic and social value, it has also brought problems that have posed serious threats to the health of urban residents. Healthy Landscapes begins by reviewing practical experience, as well as theoretical and scientific evidence, from several related disciplines around the world. This is used to construct a provisional framework consisting of ten theoretical pathways for the environment to promote mental, physical,social, behavioral, and ecological health: Relieving mental stress; restoring direct attention; promoting environmental preference; promoting sublime and transcendent perceptions; promoting active lifestyles; preventing the spread of infectious diseases; promoting ecological services; enhancing social support; promoting the sense of belonging; and improving the sense of security. From these 24 theoretical pathways, the authors go on to identify 67 critical environmental characteristics for creating healthy communities, which are used to inform the design guidelines they go on to apply to community environment scenarios.This book will be an invaluable resource for students of landscape architectural design, architecture, and urban design. It will also be an essential tool for design professionals and urban administrators who want a comprehensive understanding of the fundamental theories of healthy communities with design guidelines supported by scientific evidence.

This book responds to the need for a comprehensive and detailed theoretical framework and systemic design approaches to improve mental, physical, social, behavioral, and ecological health in urban environments.Although rapid urban development has created enormous economic and social value, it has also brought problems that have posed serious threats to the health of urban residents. Healthy Landscapes begins by reviewing practical experience, as well as theoretical and scientific evidence, from several related disciplines around the world. This is used to construct a provisional framework consisting of ten theoretical pathways for the environment to promote mental, physical,social, behavioral, and ecological health: Relieving mental stress; restoring direct attention; promoting environmental preference; promoting sublime and transcendent perceptions; promoting active lifestyles; preventing the spread of infectious diseases; promoting ecological services; enhancing social support; promoting the sense of belonging; and improving the sense of security. From these 24 theoretical pathways, the authors go on to identify 67 critical environmental characteristics for creating healthy communities, which are used to inform the design guidelines they go on to apply to community environment scenarios.This book will be an invaluable resource for students of landscape architectural design, architecture, and urban design. It will also be an essential tool for design professionals and urban administrators who want a comprehensive understanding of the fundamental theories of healthy communities with design guidelines supported by scientific evidence.

Predictive Global Sensitivity Analysis: Foundational Concepts, Tools, and Applications provides a detailed tutorial as a guide for both researchers and practitioners to understand how and when to implement PGSA. While the technique involves a fair amount of “number crunching,” it also requires a significant subjective cognitive component. The researcher must consider how to define potential summary variables and subsequently use judgement to determine which to keep and which interaction terms to include. If initial results underperform, the researcher must rethink initial approaches and try again. The tutorial section follows two examples through each step of the process. The monograph is organized as follows. Section 2 describes the PGSA applications that appear in the literature. Section 3 represents the tutorial section, which describes each step in the process and illustrates how each step is applied to two examples: (1) a safety stock model using the fill rate criterion, and (2) a classic linear programming transportation problem. Section 4 presents a full PGSA application for a model used by firms with multiple facilities purchasing many different component parts. The model determines which parts should be purchased locally, which should be purchased centrally, and which should be partially centralized. The PGSA predictive equations do an excellent job at placing parts into the three categories. Section 5 concludes by describing the challenges and limitations of PGSA, along with providing several recommendations for future research.