Mapping Green Infrastructure Based on Multifunctional Ecosystem Services: A Sustainable Planning Framework for Utah’s Wasatch Front

Most sustainable planning frameworks assess natural and social–economic landscape systems as separate entities, and our understanding of the interrelationships between them is incomplete. Landscape classification in urbanizing environments requires an integrated spatial planning approach to better address the United Nation’s sustainable development challenges. The objective of this research is to apply a multicriteria evaluation which ranked diverse ecosystem–service producing landscapes and synthesize the findings within a unique green infrastructure spatial planning framework. Local government stakeholder derived weighting and GIS classification were operated to map both the urban and natural landscapes of the Salt Lake City region of Utah, one of the most rapidly urbanizing areas in North America. Results were assimilated through five regional landscape typologies—Ecological, Hydrological, Recreational, Working Lands, and Community—and indicated those highest ranked landscape areas which provided multiple ecosystem services. These findings support collaborative decision making among diverse stakeholders with overlapping objectives and illustrates pathways to the development of ecosystem service criteria. This paper contributes to a better understanding of how to integrate data and visualize the strategic approaches required for sustainable planning and management, particularly in urban and urbanizing regions where complex socioecological landscapes predominate.

Velocity Obstacle-Based Collision Avoidance and Motion Planning Framework for Connected and Automated Vehicles

This study proposes a novel collision avoidance and motion planning framework for connected and automated vehicles based on an improved velocity obstacle (VO) method. The controller framework consists of two parts, that is, collision avoidance method and motion planning algorithm. The VO algorithm is introduced to deduce the velocity conditions of a vehicle collision. A collision risk potential field (CRPF) is constructed to modify the collision area calculated by the VO algorithm. A vehicle dynamic model is presented to predict vehicle moving states and trajectories. A model predictive control (MPC)-based motion tracking controller is employed to plan collision-avoidance path according to the collision-free principles deduced by the modified VO method. Five simulation scenarios are designed and conducted to demonstrate the control maneuver of the proposed controller framework. The results show that the constructed CRPF can accurately represent the collision risk distribution of the vehicles with different attributes and motion states. The proposed framework can effectively handle the maneuver of obstacle avoidance, lane change, and emergency response. The controller framework also presents good performance to avoid crashes under different levels of collision risk strength.

Business Plan and Industrial Development

Writing of business plans ensures performance of a business and contributes to enabling countries to achieve sustainable development goals (SDGs). The latter are intended, in part, to promote industrialization, and improved human living and working standards. This chapter identifies and analyses the importance of business plan for family-owned food processing small and medium enterprises (Fo-SMEs). It advocates for the establishment of an “integrated planning” strategy to link Fo-SMEs and government support system for business development. Business-planning forecasts industrial production based on consumers' demands. Integrated planning ensures sustainability of Fo-SMEs, farmers' economic growth, and consequent achievement of SDGs. Tanzania Fo-SMEs serve as a useful lesson for developing economies. Future studies should consider Fo-SMEs' succession planning framework.

Romania’s urban policy in the context of COVID-19 pandemic time

Under the conditions of frequent changes, of some edifying transformations and perpetual challenges, urban policy undergoes changes/adjustments/updates over certain time intervals. These changes generate increasingly more complex requirements that impose drafting a flexible multidisciplinary framework able to support the future development of a territory. In full debate-process, the new urban policy of Romania promotes sustainability, resilience and inclusive growth, on the background of a critical period under the dominance of the SARS-CoV2 pandemic. This new policy brings around the discussion table experts from relevant fields: decision factors, urbanists, economists, architects, citizens, civic initiative groups, etc. The national urban policy must address all categories of urban areas (defined as a city area considered as the inner city plus built-up environs, irrespective of local body administrative boundaries), being fundamental in implementing the goals set by the New EU Urban Agenda, approved in the framework of the Habitat III conference of the United Nations (2016) and the new provisions of the New Leipzig Charter (2020). Urban policy must ensure a single planning framework that would support the implementation of the programs and projects financed from European and national funds, preparing thus the financial exercise 2021-2027. Considering the above mentioned, the present paper aims to review the important and strategic elements of the future urban policy from Romania and its role in promoting and supporting balanced territorial development under the conditions of the SARS-CoV2 pandemic crisis which is far from over.

Application of the Nexus Approach as an Integrated Urban Planning Framework: From Theory to Practice and Back Again

Urbanization has created some of the world's greatest development challenges. At the same time, cities present an opportunity to tackle these challenges comprehensively. For this, an integrated urban development approach is needed. The Water-Energy-Food (WEF) Nexus approach offers cities an integrated urban planning framework to devise sustainability pathways. However, so far there exist no comprehensive guidelines to aid municipal government decision-making on how to apply the Nexus approach in an urban context. This paper highlights the origins of the WEF Nexus approach within the integrated urban planning discourse. It explains the method to introduce Nexus with special emphasis on Nexus training supporting the implementation of the Nexus approach. The “Urban Nexus Development Cycle” as part of the Nexus training, guiding urban practitioners to overcome “silo thinking” is the innovative element as well as the pro-active involvement of universities in the Nexus process.

Landscape code for therapeutic gardens and therapeutic landscapes

The creation of therapeutic gardens and therapeutic landscapes in the structure of landscaping of hospitals and clinics is an important direction in the formation of the landscape and urban planning framework of cities to avoid the consequences of the pandemic. The landscape code of therapeutic gardens and therapeutic landscapes is scientifically grounded practical guidelines for the architectural and landscape design of the territories of healthcare facilities.

A planning framework of environment detection for unmanned ground vehicle in unknown off-road environment

This paper describes a planning framework of environment detection for unmanned ground vehicle (UGV) in the completely unknown off-road environment, which is able to quickly guide the UGV with nonholonomic constraints to detect the environmental information as much as possible. The contributions of this paper contain four fold. First, due to the sensor characteristics of camera and lidar, we present a two-layer combined detection map which can accurately represent the detected and undetected area. Second a frontier extraction algorithm based on RRT considering information acquisition and nonholonomic constraints of UGV is used to extract the target pose. Third, we use a search path planning method based on motion primitive which is able to handle obstacle constraints of environment, nonholonomic constraints of UGV. Fourth the heuristic fusion is proposed to guide the extension of motion primitives to generate a kinodynamically feasible and collision-free trajectory in real-time. And it works well in both simulation and real scene.