Planning Process Research Articles

Partnering with Schools to Adapt a Team Science Intervention: Processes and Challenges

AbstractPublic schools are a major provider of mental health services for children in the US. Mental and behavioral health services range from universal programming to individualized clinical supports to address student needs. These services in schools are delivered by various professionals including non-teaching and teaching school personnel, school-employed clinicians, and/or contracted community mental health partners. Provision of mental health services requires complex coordination of providers across disciplines, although few professionals have training in multidisciplinary collaboration strategies. Attention to team processes, such as delineating team members' roles, improving communication, and identifying collaboration strategies, may impact the effectiveness of evidence-based mental health service provision in real world settings. One intervention, Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS), has been used in healthcare with positive outcomes and has been adapted to educational settings. The current paper describes the community-partnered subsequent adaptation of TeamSTEPPS for schools. Needs assessment interviews identified challenges, successes, and goals for student mental health. Overarching themes extracted from interviews include limited resources at multiple levels (e.g., financial support, time, and personnel), communication challenges, and poor role clarity. A community advisory board provided guidance during the adaptation and implementation planning process. Adaptations to the intervention included tailoring the intervention to the school context and the development of flexible training plans. In addition, individualized implementation plans were developed with each school partner to mitigate foreseeable barriers to rolling-out TeamSTEPPS. Our team is currently piloting the adapted TeamSTEPPS intervention and implementation strategies in partnership with three school districts.

A new model for selecting valued components in environmental assessment: Lessons from an Indigenous-led cumulative effects management program

Valued components (VCs) are at the core of impact assessment (IA), cumulative effects management (CEM), and other environmental planning and management processes. However, the research that exists on VC selection identifies major conceptual and methodological flaws in the conventional approaches used in most project-based IAs, including poor understanding, inadequate guidance, insufficient engagement with local stakeholders and Indigenous communities, and failure to incorporate local and Indigenous perspectives, knowledge, and values in decision-making. To address these flaws, this paper proposes a new community-based method for selecting VCs, which was developed in the Indigenous-led CEM program of the Metlakatla First Nation (located on the northwest coast of Canada). The new VC selection method is grounded in Indigenous values and informed by Indigenous and local knowledge as well as scientific research. It uses a six-step approach to identify VCs and prioritize them, based on clear decision-making criteria, deliberative community dialogue, and explicit consideration of implementation constraints. The Metlakatla First Nation used this method to identify high-priority VCs for their CEM program, but the method could also be adapted for use in project-based IA and other planning and management processes to improve VC selection. A comparison of the results of the application of the new method in the Metlakatla CEM Program with the results of a recent conventional proponent-led IA of a large industrial project in Metlakatla territory shows that the new method addresses many of the deficiencies in the conventional model and generates a substantially different set of high-priority VCs that better reflect Indigenous values and knowledge.

DIGITAL TWIN COLLABORATION: A COMMON TECHNICAL STRUCTURE FOR THE AUTOMOTIVE AND THE BUILDING INDUSTRY

During the planning stage of production sites for the automotive industry, the building industry and the automotive industry clash. Nevertheless, the planning in both industries is generally done separately and there is not enough communication which leads to problems later on in the process. In the automotive industry, the digital twin is already used as a common tool for the planning and simulation of production lines. In the building industry however, the digitalization is not as well-advanced. Since the workflows, the degree of digitalization and the used software tools differ so much, the combination of the different processes and data of the automotive industry and the building industry is still very difficult nowadays. In order to solve that problem, the aim is to develop a common structure that allows both industries to collaborate and share their data, starting early on in the planning process. The current workflows of both industries were analyzed by conducting interviews with experts in their field. Evaluation of the answers and further discussion in the interdisciplinary team of the research project “CoLab4DigiTwin” showed that the workflows of both industries actually have the similar approach of starting the planning process by thinking in three-dimensional spaces that get more detailed information over time. Based on this finding, a hierarchical technical structure was developed, combining the spaces of the building industry and the automotive industry. This structure acts as a clear common base that facilitates an organized data exchange and improves the interdisciplinary collaboration.

Spatial allocation of bioretention cells considering interaction with shallow groundwater: A simulation-optimization approach

Green infrastructure (GI), as one type of ecological stormwater management practices, can potentially alleviate water problems and deliver a wide range of environmental benefits in urban areas. GIs are often planned and designed to reduce runoff and mitigate pollution. However, the influence of GI on groundwater hydrology and that of shallow groundwater on GI performance was seldom considered. This study utilized a calibrated surface-subsurface hydrological model, i.e., Storm Water Management Model coupled with USGS's modular hydrologic model (SWMM-MODFLOW) to consider the interaction between GI and groundwater into the process of GI planning. The optimal implementation ratio, aggregation level and upstream-downstream location of bioretention cells (BC, one type of GI) under different planning objectives and hydrogeologic conditions was explored. The consideration of groundwater management exerted a significant impact on the optimal spatial allocation of BCs. The results showed that when groundwater management was more concerned than runoff control, BCs were recommended to be allocated more apart from each other and more upstream in the catchment because more-distributed and upstream BCs can result in lower groundwater table rise which is beneficial. BCs were overall recommended to be allocated in areas of deeper groundwater tables, coarser soils, and flatter topographies. However, the spatial features of BCs are related to each other, the choice of them are affected by various hydrogeologic factors simultaneously. The exact location of BCs should be determined by considering the trade-off between runoff control efficiency and groundwater impact. The findings obtained in this study can provide guidance on GI planning in shallow groundwater areas.

ENHANCING REFLECTIVE CAPACITIES IN EXERCISE PHYSIOLOGY: BRIDGING EDUCATION AND LIFELONG PROFESSIONAL LEARNING

INTRODUCTION & OBJECTIVES Essential to both students and experienced exercise physiology practitioners, reflective practice is a cornerstone of lifelong learning and improved client care. In clinical settings reflection, characterised by awareness, is the critical analysis of experience and requires integration into higher education curriculum. METHODOLOGY Final-year exercise physiology students (N = 21) and 5 clinical exercise physiology supervisors completed a reflective practice learning activity. The stepped process of SPROUT was utilised, via classroom teaching and 14 weeks of clinical practicum. SPROUT represents the Situation, Past experiences, Read and refer, Other influences, Understanding, and Taking it forward. Teaching modes included group discussion, clinical situations, and student-led practice along with the completion of written reflections. Each student responded to the Reflection in Learning Scale (RLS) and further questions about their confidence. Written scripts were analysed for meaning and each ranked. Supervisors responded to open-ended questions during a focus group. FINDINGS Student scores for the RLS revealed higher scores for planning, knowledge integration and mental processing and lower for interactions with knowledge, mindful summarising and coping with negative emotions. 75% of students indicated that they were confident with reflective practice and that SPROUT, however time-consuming, had been helpful. Written scripts showed a range of developing abilities, from novice requiring more depth to those more advanced who demonstrated meaningful engagement and solution-orientated reflective ability. Clinical supervisors supported the importance of reflective practice and were positive about the application of the stepped approach of SPROUT. CONCLUSIONS The SPROUT framework supported reflective practice learning, benefiting both students and qualified practitioners, facilitating not only increased confidence but also a more profound understanding of clinical encounters. The structured approach of SPROUT proved beneficial in guiding reflective thinking. This research underscores the importance of reflective practice in exercise physiology, endorsing its role in ongoing professional development.

Processing Speed Partially Mediates Executive Function Impairments in Adolescents with Congenital Heart Disease: Results from a Prospective Cohort Study

To assess processing speed, fine motor function, attention, and executive function (EF) impairments in adolescents with complex congenital heart disease (CHD) who underwent open-heart surgery during infancy. We administered a comprehensive neuropsychological test battery evaluating 5 EF domains: working memory, inhibition, cognitive flexibility, fluency, and planning and primary neurodevelopmental processes (PNPs): processing speed, fine motor function, and attention. The sample included 100 adolescents with complex CHD from a previous University Children's Hospital Zurich study, with 104 healthy controls for comparison. We generated scores for each EF domain and computed an EF summary score. Group comparisons and associations were analyzed with multiple regression, accounting for parental education. Mediation analysis explored how PNPs mediate the effect between a CHD diagnosis and EF. In adolescents with complex CHD all EF domains and the EF summary score were impaired (β=0.20 to 0.37, all P<0.05). Furthermore, they exhibited slower processing speed (β=0.27, P<0.01) than healthy controls, with no differences in attention (β=-0.07, P=0.34) and fine motor function (β=0.08, P=0.34). Processing speed showed a strong association with the EF summary score (β=0.60, P<0.001) and partially mediated the relationship between CHD diagnosis and the EF summary score (β=0.37, 95% CI [0.24, 0.50], P<0.001). Adolescents with complex CHD show difficulties in EFs and processing speed. Notably, processing speed is strongly associated with EFs and partly accounts for EFs disparities between patients and healthy controls. Early detection and interventions for processing speed difficulties may improve EF outcomes in these patients.

“The integration of Business Analytics in Smart Cities”

The integration of business analytics in smart cities represents a paradigm shift in urban development, leveraging data-driven insights to enhance efficiency, sustainability, and quality of life. This paper explores the significance of business analytics in the context of smart cities, aiming to understand its implications for urban planning, resource allocation, and decision-making processes. Through a comprehensive review of existing literature and case studies, the paper examines the diverse applications of business analytics in smart city initiatives, ranging from optimizing transportation systems to improving public safety and infrastructure management. Despite the potential benefits, challenges such as data privacy concerns, skills gaps, and organizational barriers pose significant obstacles to effective implementation. By analysing successful integration strategies and identifying key lessons learned, this paper offers insights and recommendations for policymakers, urban planners, and other stakeholders to harness the full potential of business analytics in shaping the cities of tomorrow.

Governing the reterritorialization of agricultural activities: An assessment of food planning policies in France

This paper examines how food planning policies address the reterritorialization of agricultural activities (RAA), a crucial component of local food systems. While food planning as an integrated local policy promoting local food systems has gained increasing research attention, most of the research has been urban-centric, resulting in a limited understanding of how it includes RAA. This paper fills this research gap by assessing 39 food planning projects in France, where the state defines food planning by national law and supports local projects. Through document analysis and semi-structured interviews, RAA-associated food planning policy goals, instruments, and agri-food professional actors’ involvement are identified. The empirical findings highlight the central role of RAA in French food planning projects; it either serves as the primary motivation behind these projects or evolves into a substantial component as the projects develop. A wide range of policy instruments with local innovation to support RAA are identified, with more frequent use of informational and economic than regulatory and coercive instruments, and more focus on economic development than on ecological transition. Minority and majority farmers’ organizations are involved in food planning processes with varying degrees of engagement across territories, reflecting local governance strategies. The analytical methods in this study may contribute to future research to better comprehend RAA in local food policymaking. The systematic overview of RAA-associated food planning measures also offers insights to policymakers in other contexts regarding food policy design. The paper concludes by arguing that food planning extends beyond urban food supply; it also presents an opportunity to leverage RAA for rural revitalization and transformation, in terms of production models, rural-urban links, and local governance.

Between episodes of strategy: Sociomateriality, sensemaking, and dysfunction in a scenario planning process

Scenario planning processes, which occur over multiple episodes, facilitate the development of alternative stories of the future in order to challenge current thinking and help organizations create more robust strategies. But what happens between those episodes and how does it affect the process? Utilizing a sociomaterial perspective, we examine sensemaking within and between multiple scenario planning workshops of a multi-organization strategy process. We observe both subtle changes and more blatant interventions in the production of critical materials in the spaces between workshops. Sociomateriality and sensemaking become entangled as the inputs to, and outputs from, workshops are subject to increased influence from ‘normal’ work structures as episodic and continuous sensemaking converge gradually over time.

Automating the assembly planning process to enable design for assembly using reinforcement learning

AbstractThis paper introduces a new concept for the automation of the assembly planning process, to enable Design for Assembly (DfA). The approach involves the application of reinforcement learning (RL) to assembly sequence planning (ASP) based on a 3D-CAD model. The ASP algorithm determines assembly sequences through assembly by disassembly. The assembly sequence is then used for the generation of subassemblies by considering the product contact information. The approach aims to support the creation of the manufacturing bill of materials (MBOM) by automating the assembly planning process.

CONCEPTS FOR TIMBER-SPECIFIC MEP INSTALLATIONS AND SEALINGS IN BATHROOMS OF MULTI-STORY RESIDENTIAL BUILDINGS

The European market for cross-laminated timber (CLT) is rapidly growing in the field of multi-story residential buildings. However, water leaks repeatedly lead to severe moisture damage in timber buildings. Undetected moisture damage may result in biological degradation of the CLT structure, is difficult to repair, and incurs high costs. Currently, there is a lack of awareness of the fact that timber buildings require different mechanical, electrical and plumbing (MEP) installation methods than buildings made with mineral construction materials. In addition, too little attention is given to protecting the wooden structure by applying appropriate sealing measures that actually work in practice. Lack of planning and uncoordinated construction work exacerbate this problem. Presenting 2D drawings and 3D BIM models, the paper illustrates concepts that can be used to optimally design and safely integrate MEP installations in bathrooms in multi-story residential timber buildings. A special focus is placed on a holistic view of the topics structure, pipe installation, sealing, and fire protection. The concepts presented are based on an analysis and classification of over 1100 bathroom layouts. Therefore, they are applicable to a wide range of bathrooms in practice. The presented results were developed in the research project CLT_Plumbing_Design. They contribute to the development of standardized, timber-specific solutions for pipe installation and sealing in bathrooms, and can help reduce moisture damage in timber construction. In addition, these concepts form a basis for a new automated planning process in the area of bathroom planning, for which a brief outlook is given.

Effect of Planning and Budget Realization with Covid-19 As A Moderator Variable toward Budget Absorption in Resort Police Station Bangka Tengah

In response to the Covid-19 pandemic, the government prioritized allocating a significant portion of its resources toward preventing the spread of Covid-19. Undoubtedly, this will inevitably affect the meticulously devised programs aimed at achieving budgetary recuperation. This study aims to determine the extent to which Covid-19 affects the budget absorption of the Resort Police Station Work Unit in Bangka Tengah. This study utilizes a quantitative methodology, utilizing moderating regression analysis (MRA) for data analysis. The financial statements cover a period of 72 months, spanning from 2017 to 2022. The study discovered that both the planning and implementation of activities, as well as the regulation of the Covid-19 pandemic’s impact on planning and implementation, had a noteworthy influence on the utilization of funds at the Resort Police Station Bangka Tengah. This study demonstrates that the planning process at the Bangka Tengah Police is capable of adjusting to the current requirements, resulting in improved budget use. The Bangka Tengah Police can improve budget absorption by implementing monthly budget realization. No prior research has been conducted on budget absorption at the Police Station during the Covid-19 pandemic, which had a widespread impact on all aspects of life.

Implementasi Building Information Modelling Menggunakan Software Infraworks Untuk Perencanaan Jalan

Road design is part of infrastructure development that supports an area or environment. In this context, the use of Building Information Modeling-based design technology such as Infraworks promises significant progress in the planning and design process of road infrastructure. This research aims to implement infraworks applications in road design through implementation case studies in the Polinela campus road design project.This research methodology includes field data collection, secondary data processing, making 3D road models. The research results show that the use of Infraworks significantly increases efficiency in the road design process by integrating various features such as topographic modeling, hydrological analysis, and integrated project visualization.The conclusion of this research shows that the use of Infraworks in road design has great potential to increase project efficiency, collaboration and sustainability. With a deep understanding of the benefits and challenges of using Infraworks, stakeholders can take steps to optimize the application of this technology in sustainable road infrastructure design practices

Artificial Intelligence for Decision Making in the Supply Chain

Artificial intelligence (AI) is a technology that has the potential to significantly impact organizational decision-making. In supply chain management (SCM), data analysis and organizational decision-mak- ing play a crucial role in providing insights into various aspects of the supply chain, such as relevant goods, inventory levels, order processing times, delivery times, and transportation costs. By analyzing data, companies can identify inefficiencies in their supply chain and take corrective actions to improve performance. The SC system is a customer-oriented and integrated system that determines planning, administration, and management processes for internal and external material and related flows, for- mulating the optimal factor of added value. In this study, we aim to identify hazardous products by analyzing product identification information at customs checkpoints and locations where vendible items are delivered to customers. We have identified several commodity groups and substances that are potentially harmful and dangerous to human health.

Planning, Designing and Estimation of G+2 Residential Building using Autocad and STAAD PRO

Abstract: This paper presents a comprehensive methodology for the planning, design, and estimation of a G+2 residential building utilizing AutoCAD for architectural drafting and STAAD.Pro for structural analysis and design. The process involves several key stages including site analysis, conceptual design, detailed architectural planning, structural analysis and design, and cost estimation. The initial phase involves site analysis to understand site constraints, orientation, and surroundings, followed by conceptual design to establish the building layout and spatial arrangement. AutoCAD is employed for creating detailed architectural plans, including floor plans, elevations, and sections, ensuring compliance with local building codes and regulations. Subsequently, structural analysis and design are performed using STAAD.Pro, incorporating factors such as loads, material properties, and structural elements. The software facilitates the analysis of various structural systems and helps optimize the design for efficiency and safety. Finally, the estimation phase involves quantifying materials and labor costs based on the finalized architectural and structural designs. This includes itemized lists of materials such as concrete, steel, bricks, and finishing materials, as well as labor costs for construction activities. The proposed methodology integrates AutoCAD and STAAD.Pro to streamline the planning, design, and estimation process for G+2 residential buildings, offering efficiency, accuracy, and adherence to regulatory requirements. The approach presented in this paper serves as a valuable guide for architects, engineers, and construction professionals involved in similar projects

Walkability index for world heritage cities in developing countries

Walkability principles are an important part in the planning process of cities that face urban problems such as gentrification, pollution, and decay of their built heritage. The proposed factors – connectivity, proximity, land use mix, and retail density – form a comprehensive framework for evaluating walkability that transcends the boundaries of historical cities. These factors, while initially identified within historical contexts, possess inherent qualities that render them universally adaptable to various urban landscapes. By leveraging these factors, urban planners gain insights into the intricate fabric of pedestrian experiences in cities. They serve as universal evaluative tools, applicable not only to historical cities but also to burgeoning metropolises and smaller urban centres. This work introduces a novel approach to assessing the Walkability Index for World Heritage Cities, utilizing a Multiple Criteria Spatial Decision Support System (GIS-MCDA) structured in four stages. The approached methodology is particularly valuable for governments and decision-makers in developing countries of the Global South, where limitations in data and available tools are common challenges. The insights gained from this study can guide the improvement of policies, enable more precise implementation of sustainable mobility infrastructure, and motivate the pursuit or maintenance of UNESCO World Heritage nominations. The case study focused on the Historical Centre of Arequipa, Peru, a city designated as a UNESCO World Heritage site. The results of this study demonstrate the effectiveness of the proposed approach in such contexts, owing to its specificity and the integration of both objective and subjective elements.

PERAN MANAJER DALAM IMPLEMENTASI FUNGSI MANAJEMEN DI UNIT REKAM MEDIS DAN INFORMASI KESEHATAN RSU PKU MUHAMMADIYAH PRAMBANAN

Management functions consisting of planning, organizing, implementing, and supervising that runs properly and correctly is one characteristic of a well-functioning organization. Hospitals are healthcare institutions that provide medical services and support services to patients. Good support services in the Medical Records and Health Information (MRHI) unit at the hospital require good management to manage the unit. The MRHI unit has the responsibility of creating and maintaining patient medical records. The purpose of this study is to determine the role of the head of the medical support sub-sector as a manager in implementing the management functions of the MRHI unit at PKU Muhammadiyah Prambanan Hospital. This research is a qualitative study with a descriptive method. The results show that the manager's role is quite good in implementing management functions. This is evidenced by the well-organized planning process by the head of the medical support sub-sector so that activities can run continuously. In terms of organization, it is still quite minimalistic but already structured because the hospital has only been established for 2 years and patient visits are still not too many. In the implementation function, the manager is able to provide good guidance to the staff, although at this stage, the staff has not fully performed their duties according to procedures. The supervision function runs very well, indicated by the service provided being directed, orderly, and in accordance with established rules. The implementation of management functions can be maintained by improving the management functions that are not yet optimal.

Seismic Risk Assessment of Built Environment in the Himalayan Foothill City of Dehradun, Uttarakhand

Himalayan foothill city of Dehradun in Uttarakhand state is located in a tectonically active region and is prone to earthquakes. The growth of Dehradun city is analysed using high resolution remote sensing datasets in the current study, with a focus on its vulnerability to seismic risks for single and double storey structures as the city is predominantly made up of low-rise structures. Analysis shows that 10% of urban expansion has occurred in spectral acceleration zones that are vulnerable to double-storey buildings, while 38% of urban expansion has happened in spectral acceleration zones that are vulnerable to single-storey buildings. The proposed land use as per Dehradun Masterplan 2041 is examined with reference to National Earthquake Hazards Reduction Program (NEHRP) for seismic regulating provisions. It is emphasized that the intended land use is incongruous in areas with higher spectral acceleration zones since it comprises structures with higher occupancy and the amenities required during post-earthquake rehabilitation. On the other hand, the open spaces are more appropriate in these locations, which will lessen susceptibility as the influence of seismic forces can be sufficiently attenuated. The present study, thus highlights the significance of including seismic risk information in urban planning processes in order to ensure resilient cities.

The online conversion framework: Understanding antagonism, planning theory, and social media

Digital technology is reshaping participatory planning, including conflict and antagonism in the planning process. Yet planning theory has largely failed to engage with emerging digital mechanisms that could stimulate antagonism in online environments. This paper seeks to explore different ways of framing conflict and antagonism in planning and the degree to which they reflect an increasingly digital approach to public participation. We introduce an Online Conversion Framework to delineate the process of conversion for antagonistic to agonistic action on social media, using X (formerly Twitter) as an example.

Optimizing the co-benefits of biodiversity and carbon sinks in urban residential yards

Urban green infrastructure is recognized for its potential to combat biodiversity loss and enhance carbon sequestration in cities. While residential yards constitute a significant part of urban green infrastructure, their role in providing urban ecosystem services remains largely understated. There is a lack of systematic measures for effectively implementing urban vegetation to enhance ecosystem services. The aim of this study is to investigate how different vegetation types typically found in urban residential yards of apartment blocks can enhance carbon sequestration and biodiversity, and how these benefits can be supported through landscape design. The study encompasses an integrative literature review and qualitative analysis. Drawing from a review of previous research, this study identifies the drivers that indicate either carbon sink potential or biodiversity enhancement potential of urban vegetation types. The drivers are then cross-examined to identify the qualities of urban green that potentially strengthen carbon–biodiversity co-benefits. As the key findings we present versatile measures to enhance the potential co-benefits of carbon sinks and biodiversity within urban yards and summarize them in three main categories: plant diversity, provision of good growing conditions and maintenance. The study stresses that the several potential co-benefits of urban green can only be achieved through the selection and prioritization of solutions during the planning and design process. To exemplify this, we demonstrate how the findings from the literature review can be incorporated into the design and management of urban yards. We conclude that the main actions to be addressed in the future planning and design of urban residential yards are (i) establishing diverse planting areas with a mixture of woody and herbaceous plants to encourage species richness and complexity, (ii) optimizing the use of space and growth conditions, and, (iii) implementing maintenance practices that consider both carbon and biodiversity aspects. The study highlights that through enhancing carbon-biodiversity co-benefits urban yards can significantly contribute to major environmental challenges and provide vital ecosystem services within the built urban environments.