Planning and designing a self-compassion intervention for family carers of people living with dementia: a person-based and co-design approach

Background This article describes the research activities undertaken to plan and design a self-compassion intervention for family carers of people living with dementia using a person-based and co-design approach. In providing this example, our aim is two-fold: to highlight the value of using qualitative research and co-design processes within intervention development; and to showcase systematic reporting of an intervention’s early planning and design stages. Methods A person-based and co-design approach informed the planning and design of the self-compassion intervention. In Stage 1, qualitative interviews were undertaken with 14 family carers of people living with dementia and 14 professional stakeholders. In Stage 2, intervention guiding principles were developed, psychological theory was incorporated, and six family carers of people living with dementia were engaged as co-designers. Results Knowledge generated during intervention planning identified that the intervention should be situated within the concept of compassion more broadly; address misperceptions, fears, blocks, and resistances to self-compassion; and target feelings of shame, guilt, and self-criticism. Subsequent intervention design activities determined that the needs of family carers of people living with dementia were best met by tailoring an existing intervention, namely group-based Compassion-Focused Therapy. Conclusions Our systematic approach highlights the value of incorporating in-depth qualitative research and co-design within the intervention development process to prioritise the perspectives and lived experiences of family carers of people living with dementia. The planning and design process outlined provides insight that is applicable to the development of our intervention and complex health interventions within gerontology and beyond.

Extended Function Analysis of Urban Planning and Design Based on Automatic Extraction Algorithm of Closed Area Boundary

With the continuous development of social economy, the expansion of cities often leads to the disorderly utilization of land resources and even waste. In view of these limitations and requirements, this paper introduces the automatic extraction algorithm of closed area boundary, combs the requirements of urban boundary extraction involved in urban planning and design, and uses the technology of geospatial analysis to carry out spatial analysis practice from three angles, so as to realize the expansion of functional analysis of urban planning and design and improve the efficiency and rationality of urban planning. The simulation results show that the automatic extraction algorithm of closed area boundary is effective and can support the functional analysis of urban planning and design expansion.

The Urban CoCreation Lab—An Integrated Platform for Remote and Simultaneous Collaborative Urban Planning and Design through Web-Based Desktop 3D Modeling, Head-Mounted Virtual Reality and Mobile Augmented Reality: Prototyping a Minimum Viable Product and Developing Specifications for a Minimum Marketable Product

Both policy and research highlight the importance of diverse stakeholder input in urban development processes but visualizing future built environments and creating two-way design communication for non-expert stakeholders are challenging. The present study develops an intuitive and simplified 3D modeling platform that integrates web-based desktop, virtual reality and mobile augmented reality technologies for remote simultaneous urban design collaboration. Through iterative prototyping, based on two series of workshops with stakeholders, the study resulted in such an integrated platform as a minimum viable product as well as specifications for a minimum marketable product to be used in real projects. Further study is required to evaluate the minimum level of detail in the 3D modeling necessary for good perception of scale and environmental impact simulation.

The materialization of the Buen Vivir and the Rights of Nature: Rhetoric and Realities of Guayaquil Ecológico urban regeneration project

In 2008, Ecuador became the first country in the world to declare nature as a subject of rights based on the ‘Buen Vivir’ (Good Living) philosophy which is premised on an indigenous principle that envisions a world where humans are part-and-parcel of a larger natural and social environment. Although Ecuador’s constitution is groundbreaking from a legal standpoint, the question arises of how the rights of nature is spatially manifested beyond the designation of protected areas? To shed light on such interrogation, this article, based on qualitative research, focuses on the linear park component of the mega-project Guayaquil Ecológico heralded as a first materialization which champions the “Rights of Nature” under the vision of the Buen Vivir. It unravels the contested rhetoric and realities of the Guayaquil Ecológico linear park in a critical review of the as-built project in relation to the larger objectives of Buen Vivir. The Guayaquil Ecologico linear park promised to simultaneously upgrade both social and environmental dimensions. However, it did not fully address the complexity of Guayaquil’s socio-ecological context and some of the structural injustices of the estuarine territory. Buen Vivir was rhetorically mobilised to implement a project where aesthetic dimensions dominated, further perpetuating socio-ecological vulnerabilities through relocation and evictions. Furthermore, its implementation was dependent on a specific political moment, leaving it in a state of abandonment and neglect. The Buen Vivir philosophy—as a decolonial stance that challenges western forms of development—can offer a fundamental base to question current modes of territorial occupation based on extractivist planning and design strategies. It holds significant potential to serve as base to re-think the relationship between forms of settlement, natural dynamics, and worldviews.

Smart City Public Art Planning and Design in a Multimedia Internet of Things Environment Integrating Scene Elements

Public art planning and design in the context of smart cities need to keep pace with the times, but the integrity of the original scene needs to be maintained in the process of public art design. Therefore, this paper combines the elements of the scene and integrates the Internet of Things smart city to conduct public art planning and design research. Moreover, based on the multimedia Internet of Things environment, this paper analyzes the effects of virtual reality technology in urban public art planning and design and gives the overall optimization ideas for the organization and rendering of VR scene data. Then, this paper studies the organization and rendering optimization methods of the terrain scene model and the scene model, respectively. The experimental research results show that the smart city public art planning and design system under the multimedia Internet of Things environment designed in this paper has a good smart city public art planning and design effect.

Smart Garden Planning and Design Based on the Agricultural Internet of Things

To improve the effect of urban agricultural garden landscape planning and design, this paper combines the agricultural Internet of Things technology to construct a smart garden planning and design system. Moreover, this paper selects the LEACH protocol that can support monitoring for a long time according to actual application needs, introduces the latest swarm intelligence optimization algorithm, the gray wolf algorithm, to optimize some of the problems in the LEACH protocol, and conducts simulation experiments on the improved algorithm. The simulation experiment results show that the improved algorithm has obvious advantages in cluster head selection, data transmission within the cluster, and route maintenance. After constructing a smart garden planning system based on the agricultural Internet of Things, the effect of the agricultural Internet of Things data processing in this paper is evaluated. Finally, this paper constructs a garden simulation system and analyzes the performance of the system. The results verify that the agricultural Internet of Things has a good effect in the planning and design of smart gardens.

Urban Soundscapes in the Imaginaries of Native Digital Users: Guidelines for Soundscape Design

We present an experiment run along the lines of a pilot experiment in China based on collages and narratives to illustrate the participants’ experience with urban sceneries. Its aim was to develop a conceptual model based on narrative analysis that linked objects of the environment to the perceived properties of the soundscape. Participants in groups of two were free to clip any image they wanted from a selection of magazines—the same for all groups within each country—and free to add comments or drawings on their collages. Then, they had to present their collages to the other participants, and the presentations were recorded and transcribed. The structural semantic model that underlies the descriptions of the collages and narratives is presented. The results of the analysis were comparable with previous studies, since ideal urban environments should be calm, quiet and green, but urban environments should also promote cultural activities and the possibility to escape outside the city. The analysis also allowed for attaining the emotions created by soundscapes. Thus, the semantic model can be used as a conceptual model for a soundscape, from which guidelines for soundscape planning and design can be derived, as well as suggestions for innovative soundscapes.

What Kind of Travellers Are Using Carsharing in Beijing? A Study Based on Selective Ensemble Learning

As a new urban travel mode, carsharing is significantly different from private cars, buses and other travel modes. Therefore, clarifying the typical characteristics of carsharing, such as individual users’ attributes, travel environment and travel behaviour, is conducive to accurately grasping the development of carsharing. In this study, a selective ensemble learning model is established to analyse typical travel characteristics of carsharing. Firstly, personal characteristics, environmental characteristics and behavioural characteristics were obtained through integrating order data, global positioning system data and station information. Then, based on a consolidated view of carsharing, different types of carsharing travel characteristics were distinguished using selective ensemble learning. Lastly, all kinds of carsharing travel are described in detail. It was identified through this research that carsharing travel can be divided into four kinds: long distance for leisure and entertainment, medium and short distances for business and commuting, a mixed category of medium and short distances for business and residence, and a mixed category of long distance for business and residence. This study can provide a theoretical reference and practical basis for precise planning and design and the scientific operation of carsharing.

Maritime Climate in the Canary Islands and its Implications for the Construction of Coastal Infrastructures

Islands are isolated systems that depend on maritime trade for their subsistence. Efficient, durable and structurally reliable port infrastructures are essential for the economic and social development of islands. However, not all port infrastructures are designed in the same way. They can vary, depending on whether they are built on continental land, built on non-volcanic islands or built on volcanic oceanic islands (such as the Canary Islands, Spain). The latter islands are the subject of this study due to their specific features, construction difficulties and the importance of sound maritime infrastructures. The maritime climate of an area consists of the wave and storm regimes that affect it and, from these, the coastal dynamics and coastal formations of that area can be studied. For this reason, historical data were collated on significant directional wave heights from 1958 to 2015 from several WANA-SIMAR points in the virtual buoy network of State Ports of Spain located near the Canary Islands. These data have been studied to obtain the maximum directional wave heights (Hs) at each point. With this analysis, we have obtained useful summary tables to calculate wave height by a graphic method that transforms the distribution function into a line drawn on probabilistic paper, using reduced variables. This enables adjustments to be made by linear regression and minimum square methods to facilitate planning and design of maritime infrastructures in a reliable way. Doi: 10.28991/CEJ-2022-08-01-02 Full Text: PDF

Evaluation of Rural Landscape Resources Based on Cloud Model and Probabilistic Linguistic Term Set

Rural landscape resources are important ingredients of rural revitalization and modernization in developing countries and regions. Evaluation methods play a crucial role in the development planning, design, transformation, and protection of these resources. However, there has been a lack of research on the evaluation of rural landscape resources, especially from the perspective of rural revitalization. Based on previous evaluation methods and expert consultations on landscape planning and design, we proposed a new approach for evaluating rural landscape resources by establishing a new index system and using the Analytic Hierarchy Process (AHP) and probabilistic linguistic Cloud Model. To demonstrate its applicability and effectiveness, we applied our model to the case of a village (Xiapu) in Guangdong, China, determined the parameter set of its rural landscape resources, and obtained related results showing that the method is practical and can reflect the value of resources objectively and efficiently. Based on this model, further suggestions are provided to improve the design and other utilizations of rural landscape resources.