Explore the vast range of titles available.

This paper is aimed at landscape managers and designers. It looks at 123 real-world coastal landscape projects and organizes them into clear design categories, i.e., wetland restoration, hybrid infrastructure, or urban green spaces. We looked at how these projects were framed (whether they focused on climate adaptation, flood protection, or other goals) and how they tracked performance. We are hoping to bring some clarity to a very scattered field, helping us to see patterns in what is actually being carried out in terms of landscape interventions and increasing sea levels. We are hoping to provide a practical reference for making better, more climate-responsive design decisions. Coastal cities face escalating climate-driven threats from increasing sea levels and storm surges to urban heat islands. These threats are driving increased interest in nature-based solutions (NbSs) as green adaptive alternatives to traditional gray infrastructure. Despite an abundance of individual case studies, there have been few systematic syntheses aimed at landscape designers and managers linking design typologies, project framing, and performance outcomes. This study addresses this gap through a meta-synthesis of 123 implemented coastal landscape interventions aimed directly at landscape-oriented research and professions. Flood risk reduction was the dominant framing strategy (30.9%), followed by climate resilience (24.4%). Critical evidence gaps emerged—only 1.6% employed integrated monitoring approaches, 30.1% provided ambiguous performance documentation, and mean monitoring quality scored 0.89 out of 5.0. While 95.9% of the projects acknowledged SLR as a driver, only 4.1% explicitly integrated climate projections into design parameters. Community monitoring approaches demonstrated significantly higher ecosystem service integration, particularly cultural services (36.4% vs. 6.9%, p<0.001), and enhanced monitoring quality (mean score 1.64 vs. 0.76, p<0.001). Implementation barriers spanned technical constraints, institutional fragmentation, and data limitations, each affecting 20.3% of projects. Geographic analysis revealed evidence generation inequities, with systematic underrepresentation of high-risk regions (Africa: 4.1%; Latin America: 2.4%) versus concentration in well-resourced areas (North America: 27.6%; Europe: 17.1%).

The sense of place is a multidimensional construct that evokes an emotional commitment to a specific geographic setting. It can be a crucial aspect of cultural ecosystem services. While social media has gained popularity as a tool for assessing ecosystem services, its effectiveness in capturing a sense of place, its impact on cultural ecosystem services, and its role in the landscape design process remains less certain. This study investigates the role of urban parks in shaping the sense of place by analyzing user-generated content from a specific social media platform (Twitter). We gathered tweets from 30 diverse urban parks in Chicago, covering various park types, sizes, shapes, and management styles. Our analysis reveals multiple facets of the sense of place associated with urban parks. We suggest that a sense of place is not solely rooted in the attachment to physical surroundings but also in the personal experiences individuals encounter within these spaces. Residents residing near parks tend to develop a sense of ownership and responsibility, leading to stronger emotional bonds with their environment. Urban parks foster community engagement, enhance social cohesion, and offer opportunities for nature-based experiences. Furthermore, this study underscores the significance of diverse park features, accessibility, and size in bolstering place attachment. Our research demonstrates the potential for geoinformation analysis in the geodesign process as a cost-effective and scalable approach for understanding the person–place connection.

The integration of geodesign with vulnerability analysis offers a novel approach to landscape, urban, and environmental planning challenges. The interdisciplinary nature, engaged processes, and advanced spatial analytics in geodesign provide important component pieces for identifying and addressing vulnerable places. A comparative case-study approach explores the geodesign process and its efficacy in addressing flooding issues in diverse settings. The objectives of this review include assessing geodesign processes in the development of vulnerability indices and assessments, exploring their effectiveness and limitations, and providing insights across different scales and contexts. The work seeks to contribute to the advancement of vulnerability assessment methodologies and their broader role in the fields of landscape design and urban and environmental planning. The findings of this study are expected to provide insights for researchers and practitioners looking to produce more effective, sustainable, and resilient planning and design outcomes.

This paper aims to develop multi-objective optimized control methods to improve the performance of retrofitting building heating systems in reducing consumed energy as well as providing comfortable temperature in a multi-zone building. While researchers evaluate various controllers in specific systems, providing a comprehensive controller for retrofitting the existing heating systems of multi-zone buildings is less investigated. A case study approach with a four-story residential building is simulated. The building energy consumption is modeled by EnergyPlus. The model is validated with energy data. Then, the building steam system model is upgraded, and in the other case, renewed by a hydronic system instead of a steam one. Three optimized controller groups are developed, including Model Predictive Controller (MPC), fuzzy controllers (Fuzzy Logic Controller (FLC) and an Optimized Fuzzy Sliding Mode Controller (OFSMC)), and optimized traditional ones. These controllers were applied to the upgraded steam and hydronic heating systems. The control methods affected the tuning of the boiler feed flow by regulating the condensing cycle and circulating the pump flow of the hydronic system. Accordingly, renewing the heating system improves energy efficiency by up to 29% by implementing a hydronic system instead of the steam one. The fuzzy controllers increased renewing effectiveness by providing comfortable temperatures and reducing building environmental footprints by up to 95% and 12%, respectively, compared with an on/off controller baseline.

Tranquility is typically associated with low noise levels and remote natural areas. Various methods for preserving potentially tranquil places have been proposed, although these typically involve setting aside places with low noise levels located in remote areas. To gain the benefits of tranquility in accessible urban areas, we need to identify the characteristics of tranquil spaces. This study focuses on the landscape-based, visual aspects of the phenomena. We investigated the role of visual context using a nationwide dataset of crowdsourced photographs from Sweden. Text mining identified personal perception and accompanying photographs identified the physical features. The photographs were characterized by time period and landscape conditions using computer vision technology. We found that waterbodies consistently enhanced tranquil views, while grass, flowers, and other dense vegetation were generally not well connected. Trees were positively correlated during daylight hours but had a negative impact at night. Dynamic objects such as people and vehicles were negatively associated, potentially due to aural considerations. Their effect was less significant during hours when noise would generally be less of a factor. This study provides insights for future research and design practices aimed at promoting tranquil experiences in urban environments and demonstrates the potential for crowdsourced data to help understand the qualities of built environments as perceived by the public.

Artificial intelligence (AI) has become a transformative force across various disciplines, including urban planning. It has unprecedented potential to address complex challenges. An essential task is to facilitate informed decision making regarding the integration of constantly evolving AI analytics into planning research and practice. This paper presents a review of how AI methods are applied in urban studies, focusing particularly on carbon neutrality planning. We highlight how AI is already being used to generate new scientific knowledge on the interactions between human activities and nature. We consider the conditions in which the advantages of AI-enabled urban studies can positively influence decision-making outcomes. We also consider the importance of interdisciplinary collaboration, responsible AI governance, and community engagement in guiding data-driven methods and suggest how AI can contribute to supporting carbon-neutrality goals.

The United States faces twin crises of housing affordability and environmental degradation. Under these clouds, the nation is experiencing an explosive growth in new construction multi-family housing. This paper seeks to evaluate how designers might optimize the organization of such projects to minimize cost and maximize environmental performance. A method is developed for evaluating the construction costs and environmental performance of multifamily developments across four variables: building height, number of buildings, building width, and building floor area. Our analysis suggests that buildings with deeper floor plates are preferable for both economic and environmental reasons. We also suggest that taller buildings have more performative envelopes while shorter buildings are more economical to construct. Finally, we offer a method of finding a compromise between economic and environmental objectives for projects of a given square footage. Most commonly, this “compromise” takes the form of a moderate number of mid-rise buildings with deep floor plates. This investigation adds nuance to the existing literature on the effects of building shape on building cost and envelope performance. It also provides designers with a method of potentially constructing multifamily buildings in a less expensive and more environmentally conscious way.

This study introduces a novel multi-scale framework for analyzing transportation-related greenhouse gas emissions across Illinois from a landscape infrastructure perspective. By integrating county-level, census tract, and high-resolution (30 × 30 m) data of road, rail, and aviation emissions, the research reveals distinct landscape corridor effects where major transportation routes create linear zones of elevated rural emissions connecting urban centers. While urban areas demonstrate higher total emissions, rural regions show higher tract-level and per capita emission intensities along transportation corridors. The extensive available land in rural areas, particularly along these high-emission corridors, presents significant opportunities for strategic green infrastructure deployment and mitigation. The study establishes a technical foundation for data-driven green infrastructure planning by identifying optimal locations for landscape interventions based on emission patterns. This research advances the integration of transportation and landscape planning by providing actionable insights for policymakers and designers working to mitigate climate impacts through strategic green infrastructure and nature-based solutions.

Planning support systems (PSSs) should generally be designed to promote the participation of stakeholders in planning and design processes through the delivery of useful, localized information, an ability to collect feedback, and an ability to model and test various ‘what-if’ scenarios. This paper focuses on such a PSS tool. The tool integrates the Land-use Evolution and Assessment Model (LEAM) with a Regional Economic Input-Output Model (REIM) in a tightly coupled computational process made accessible to stakeholders through a web-based PSS. The integrated tool allows for users to easily navigate the models and test land use and economic scenarios without expert assistance. It also keeps simulations updated with dynamic inputs and engages users in PSS development and application through responsive feedback to enhance plan-making abilities. In this paper, we demonstrate an application of the LEAM-REIM PSS in Sangamon County, Illinois. The application demonstrates an ability to provide more efficacious and detailed land use estimations through the connection of economic and land-use models, allowing users to easily engage with, navigate, and respond to scenario tests. We discuss the PSS tool, model integration approach, and detailed application to assess its usefulness in urban planning and design. We also propose some opportunities for further research.

Green spaces, particularly urban parks, provide essential environmental, aesthetic, and recreational benefits to human health, well-being, and happiness. However, traditional forms of investigating people’s perceptions of urban parks, such as questionnaires and interviews, are often time- and resource-intensive and do not always yield results that are transferable across sites. In this study, spatially explicit geolocational information (Sina Weibo check-in data) was utilized to analyze expressions of happiness and well-being in urban parks in Shanghai, China. The results showed significant differences in reported happiness inside and outside urban parks in Shanghai over a 6-month period. Accessibility, naturalness factors, and the frequency of park visits were positively associated with happiness. There existed both commonalities and disparities in the results between residents and non-residents. These findings can provide decision makers and urban planners with a comprehensive and timely overview of urban park use so they can accurately identify park needs and improvements.