Layout Quality Research Articles

Pedalling Towards Improved Well-being

Rapid urbanisation and population growth in Delhi have led to a significant increase in the demand for transport infrastructure. However, a traditional adherence to car-centric development in Indian cities has contributed to escalating road injuries and degraded urban settings, exposing pedestrians and cyclists to a fatality risk of around 40 times higher than car users. To address these challenges, strategies like Non-Motorised Transport (NMT) are crucial in promoting sustainable mobility. Despite its proven effectiveness globally, the influence of NMT on the Quality of Life (QoL), especially on the youth (aged 15-29 years) in the Indian context remains unexplored. This paper investigates a recent integration of NMT infrastructure on one of Delhi’s most accident-prone roads through space redistribution. The paper gathers infrastructure assessment factors and physical, social, mental and economic well-being indicators from existing literature and user perceptions on-site. Based on user perceptions, these are correlated, followed by a quantitative study of the influence of each factor on its corresponding indicator using positive responses before and after transformation. The study emphasises key factors that must be addressed while revamping public streets to enhance the health and well-being of young individuals. It suggests that layout quality and lighting significantly improve safety and comfort. Yet the design compromises safety due to a lack of city-level and neighbourhood continuity, and intersections with the high-speed road, resulting in a low rating for physical well-being. A composite well-being score is calculated to illustrate the extent of impact on QoL. Insights derived from the case of Delhi offer a practical framework for other Indian cities seeking to enhance their urban landscapes. The paper emphasises the perspectives of youth on quality well-being, shows how different design features act toward achieving a high QoL, and intends to nudge a shift toward pedestrian-friendly cities.

Method for Collaborative Layout Optimization of Ship Equipment and Pipe Based on Improved Multi-Agent Reinforcement Learning and Artificial Fish Swarm Algorithm

The engine room is the core area of a ship, critical to its operation, safety, and efficiency. Currently, many researchers merely address the ship engine room layout design (SERLD) problem using optimization algorithms and independent layout strategies. However, the engine room environment is complex, involving two significantly different challenges: equipment layout and pipe layout. Traditional methods fail to achieve optimal collaborative layout objectives. To address this research gap, this paper proposes a collaborative layout method that combines improved reinforcement learning and heuristic algorithms. For equipment layout, the engine room space is first discretized into a grid, and a Markov decision process (MDP) framework suitable for equipment layout is proposed, including state space, action space, and reward mechanisms suitable for equipment layout. An improved adaptive guided multi-agent Q-learning (AGMAQL) algorithm is employed to train the layout model in a centralized manner, with enhancements made to the agent’s exploration state, exploration action, and learning strategy. For pipe layout, this paper proposes an improved adaptive trajectory artificial fish swarm algorithm (ATAFSA). This algorithm incorporates a hybrid encoding method, adaptive strategy, scouting strategy, and parallel optimization strategy, resulting in enhanced stability, accuracy, and problem adaptability. Subsequently, by comprehensively considering layout objectives and engine room attributes, a collaborative layout method incorporating hierarchical and adaptive weight strategies is proposed. This method optimizes in phases according to the layout objectives and priorities of different stages, achieving multi-level optimal layouts and providing designers with various reference schemes with different focuses. Finally, based on a typical real-world engine room engineering case, various leading algorithms and strategies are tested and compared. The results show that the proposed AGMAQL-ATAFSA (AGMAQL-ATA) exhibits robustness, efficiency, and engineering practicality. Compared to previous research methods and algorithms, the final layout quality improved overall: equipment layout effectiveness increased by over 4.0%, pipe optimization efficiency improved by over 40.4%, and collaborative layout effectiveness enhanced by over 2.2%.

Designing a questionnaire with retrospective pre-post items: Format matters

Evaluators are frequently asked to evaluate educational interventions that are one-time events. The Retrospective Pretest (RPT) methodology is well suited for these circumstances and the evaluation literature is replete with discussions about the pros and cons of this approach. In RPT, program participants rate their attitudes or knowledge now, and also rate how they were before participation in the intervention. The difference between now and before ratings constitutes the measure of change. Little published literature exists about whether the layout of RPT items within the evaluation questionnaire yields different results. This study compared six different layouts using a sample of 1941 caregivers who participated in one of 96 training workshops. The layouts were compared on inattentiveness, unexpected decline in perceived knowledge, and the degree of before-now change. Findings show that design matters. The best performing layout is where items are placed in the center with before response options on the left of the page and the now response options on the right. Results point to the need for evaluators to pay attention to RPT layout, and for the field to establish criteria for assessing survey layout quality. The unexpectedly high rate of inattentiveness calls for evaluators to pay more attention identifying and addressing this in their survey data.

Nexus Between In-Store Design Cues and Impulse Purchasing Behavior at Supermarkets in Yaoundé, Cameroon

Purpose: This study seeks to assess the relationship between in-store design cues (store layout, product placement, signage, and point of sales display) and impulse purchase behavior at supermarkets in Yaoundé, Cameroon. It also explores the moderating effects of age and gender on this relationship. Methods: The study adopted a quantitative design with the help of a model with four exogenous variables, two moderating variables, and one endogenous variable adapted from the stimulus organism response (S-O-R) model of Zajonc (1980). The questionnaires were administered both physically and online to 429 shoppers from four selected supermarkets. The multiple correspondence analysis was used to construct indexes for store layout, product placement, signage, and point of sales display. The ordinary least square estimation technique was used to test the hypotheses of the study. The moderating effects of gender and age were done by interacting the two moderating variables with the components of in-store design cues. Results: Results revealed that layout quality and point of sales display exerted significantly positive effects on shoppers' impulse purchasing behavior while signage and product placement had a positive but insignificant effect on customers' impulse purchasing behavior. The results also revealed a negative but insignificant moderating effect of gender while the moderating effect of age was positive and significant. An overall significant effect of design cues implies that the in-store design cues were found to be attractive and stimulating by the customers. Implications: The study therefore concluded that an improvement in the store design features will act as a significant stimulus for customers' increased impulse purchases. This study has significant practical and theoretical implications in the area of consumer behavior in the context of developing countries, like Cameroon.

Layout-Bridging Text-to-Image Synthesis

The crux of text-to-image synthesis stems from the difficulty of preserving the cross-modality semantic consistency between the input text and the synthesized image. Typical methods, which seek to model the text-to-image mapping directly, could only capture keywords in the text that indicates common objects or actions but fail to learn their spatial distribution patterns. An effective way to circumvent this limitation is to generate an image layout as guidance, which is attempted by a few methods. Nevertheless, these methods fail to generate practically effective layouts due to the diversity of input text and object location. In this paper we push for effective modeling in both text-to-layout generation and layout-to-image synthesis. Specifically, we formulate the text-to-layout generation as a sequence-to-sequence modeling task, and build our model upon Transformer to learn the spatial relationships between objects by modeling the sequential dependencies between them. In the stage of layout-to-image synthesis, we focus on learning the textual-visual semantic alignment per object in the layout to precisely incorporate the input text into the layout-to-image synthesizing process. To evaluate the quality of generated layout, we design a new metric specifically, dubbed Layout Quality Score, which considers both the absolute distribution errors of bounding boxes in the layout and the mutual spatial relationships between them. Extensive experiments on three datasets demonstrate the superior performance of our method over state-of-the-art methods on both predicting the layout and synthesizing the image from the given text.

Online Dynamic Network Visualization Based on SIPA Layout Algorithm

Online dynamic network visualization is imperative for real-time network monitoring and analysis applications. It presents a significant research challenge for maintaining both layout stability and quality amid unpredictable temporal changes. While node-link diagrams are extensively utilized in online dynamic network visualization, previous node-link-diagram-based research primarily focused on stabilizing the layout by defining constraints on local node movement. However, these constraints often neglect the structural influence and its corresponding global impact, which may lead to that the representations of the network structure change significantly over time and a decrease in layout quality. To address this problem, we introduce the Structure-based Influence Propagation and Aging (SIPA) algorithm, a novel approach to preserve the stability of relative node positions and shapes of interconnected nodes (referred to as structures) between adjacent time steps. These stable structures serve as visual cues for users tracking the evolution of the network, thereby enhancing the overall layout stability. Additionally, we enhance dynamic network analysis by a highly interactive visualization system, enriching the layout result with multiple coordinated views of temporal trends, network features, animated graph diaries and snapshots. Our approach empowers users to interactively track and compare network evolution within a long-term temporal context and across multiple aspects. We demonstrate the effectiveness and performance of our approach through in-lab user studies and comparative experiments with three baseline dynamic network layout methods.

Layout Quality Criteria for CMOS Standard Cells of Digital IC

The article is devoted to review and systematization of layout quality criteria for CMOS standard cells used as base core elements in EDA based digital IC design flows. Review of such criteria grouped by various quality aspects is given. It is shown with specific examples, that quality criteria of completed standard cell layouts can be used for a variety of purposes, including: analysis and quality control/assessment of standard cell libraries, identifying possibilities for layout improvements, and selecting the best variant of the layout among alternatives from different vendors (if available). Integral layout quality criterion, which enables flexible prioritization of different layout quality characteristics, is introduced. It is also proposed to use integral criterion for selecting between different layout versions of the same cell, obtained with different layout creation approaches. It is proposed to use branch-and-bound methodology based on quality criteria of partially completed (symbolic) layouts for selection from folded/placed/routed layout versions during the process of automated layout creation. Review of the criteria used for evaluating quality of the intermediate symbolic layouts during different stages of standard cell layout creation flow is also given in the article. Thus, with the thorough selection of intermediate layout versions the effectiveness of final layout is achieved. The results might be applied by standard cell libraries developers, but also by design engineers who should take a decision about different libraries usage based on comparative analysis.

Accelerating network layouts using graph neural networks

Graph layout algorithms used in network visualization represent the first and the most widely used tool to unveil the inner structure and the behavior of complex networks. Current network visualization software relies on the force-directed layout (FDL) algorithm, whose high computational complexity makes the visualization of large real networks computationally prohibitive and traps large graphs into high energy configurations, resulting in hard-to-interpret “hairball” layouts. Here we use Graph Neural Networks (GNN) to accelerate FDL, showing that deep learning can address both limitations of FDL: it offers a 10 to 100 fold improvement in speed while also yielding layouts which are more informative. We analytically derive the speedup offered by GNN, relating it to the number of outliers in the eigenspectrum of the adjacency matrix, predicting that GNNs are particularly effective for networks with communities and local regularities. Finally, we use GNN to generate a three-dimensional layout of the Internet, and introduce additional measures to assess the layout quality and its interpretability, exploring the algorithm’s ability to separate communities and the link-length distribution. The novel use of deep neural networks can help accelerate other network-based optimization problems as well, with applications from reaction-diffusion systems to epidemics.

Operational Modal Analysis as a Support for the Development of Digital Twin Models of Bridges

Many transportation infrastructures all around the world are facing new challenges in terms of ageing and loss of performance. The infrastructural asset managers are required to perform scrupulous control of the health condition of the infrastructures over time and to execute the required maintenance works. In this context, digital twin models of the infrastructures should have a key role to simplify and speed up the procedures for proper maintenance. This paper discusses the advantages of developing digital twin models for the management of infrastructures, with a focus on bridges. In particular, the role of dynamic tests performed on bridges for the development of digital twin models is addressed, paying attention to test procedures and requirements. Issues such as the quality of instrumentation, the numerosity, and layout of sensors, and the acquisition and post-processing procedures are addressed through applications to two real bridge case studies. Both infrastructures are multi-span pre-stressed RC bridges that were dynamically tested after the restoration and seismic upgrading works. Results of ambient vibration tests and operational modal analyses are described, providing an idea of dynamic test requirements, as well as their use within the framework of the digital twin model creation.

Interactive ship cabin layout optimization

Traditionally, the ship cabin layout is designed by experts with the help of CAD, GAD, etc. The layout is usually drawn and designed repeatedly, which is not only labor-intensive but also time-consuming. Although a layout is well-thought-out, potential design issues may still exist in practice. In recent years, some intelligent ship layout design algorithms are proposed. However, the capability of involving humans in the loop has been seriously overlooked in current studies, which are mostly end-to-end approaches. To resolve these challenges, we propose a novel interactive ship cabin layout optimization approach based on integer programming (IP), which is capable to generate diverse layouts and interact with designers for further refinement. Gurobi, an integer programming solver, is adopted to find out the optimal value under the layout constraints in our approach. Moreover, crowd simulation is used to evaluate the layout quality from the perspective of coziness and mobility. The results indicate the proposed method can effectively design and optimize the ship cabin layout in an interactive manner.

User interface modeling technique in the cloud environment

For designing a qualified user interface, there needs to be a graphic expert, requirement analyst, system designer, programmer, technical expertise, social activity scientist, and experts for each field. However, it is extremely difficult for these various experts to participate in such user interface design. This paper focused on design rules and modeling techniques of user interfaces that can support user availability. The visual cohesion of business events can be improved by modeling the prototype of the object-oriented user interface based on the object. The clustering method uses transaction objects and forms objects based on business event objects and task objects. We have studied it in detail so that a prototype of the user interface can be created. The significance and conclusions of this study are as follows. First, visual cohesion is improved by designing the object of functional, sequential, and communicative objects. Second, the object design rules of the user interface were created so that even an inexperienced designer could create a high-quality prototype. Third, it enhances the user's preference, ease, understanding, compliance rate, and quality of graphic layout by improving object-based visual cohesion. Fourth, functional, sequential, communicative, and procedural cohesion of business events is increased by the clustering of user interface objects. As a result, this paper is providing a modeling method of user interface technique in the cloud environment that could enhance the visual cohesion of user interface prototypes.

Influence of structural-geometric features on seismic vulnerability of masonry buildings based on post-earthquake damage data

In this study, seismic vulnerability of Italian masonry buildings is analyzed taking advantage of the post-earthquake damage data recently released by the Italian Department of Civil Protection through the online platform Da.D.O. (Dolce et al. 2019).The main purpose of the study is to describe the damage attitude of several building's typologies, univocally defined by means of structural and geometrical features. To this aim, a time-consuming data processing has been performed to obtain a more effective taxonomy, based on masonry quality layout, type of horizontal structure, presence/absence of retrofit interventions, construction age and number of storeys.Moreover, to avoid bias in vulnerability analysis, the most reliable datasets has been detected through a comprehensive data analysis, also integrating the original database with census data. Then, damage analysis has been done, converting the damage observed on vertical structures in 5+1 damage levels of the whole building according to the European Macroseismic Scale classification. ShakeMaps in terms of peak parameters released by National Institute of Geophysics and Volcanology are also considered to characterize ground motion shaking at each building's location. Lastly, a lognormal statistical model has been used to derive vulnerability curves for considered typologies, fully investigating the influence of each building's feature on damage attitude.

Developing Local Based Content Supplementary Reading Material for Senior High School

The aim of this research was to find out validity, practicality, and effectiveness of a developed book entitled Developing Local Based Content Supplementary Reading Material for Senior High School in Lubuklinggau. In conducting the research, Research and Development written by Branch (2009) consisting of analysis, design, development, implementation and evaluation (ADDIE) was used as steps in developing the product meanwhile Formative Evaluation written by Tessmer (1993) was used to evaluate the data. To determine the validity of the book, three experts were included to review the product namely content expert, instructional design expert, and layout quality expert. To determine the practicality and effectiveness of the product, three students were involved in one-to-one trial, sixt students were involved in small group trial, and ten students were involved in a field test. The practicality and effectiveness values were obtained from tenth grade students in Senior High School number 1 Lubuklinggau in academic year 2021-2022 which were taken as subjects of the research. To collect the data, questionnaire, interviews, and a test were used. The collected data were analyzed qualitatively for the interview and quantitatively by using average score for the questionnaire and the test. After all data had been analyzed, it could be concluded that the product as a book was categorized highly valid with average score 3.76, categorized very highly practical with average score 4.67 at one-to-one trial and 4.32 at small group trial, and categorized very highly effective with average score 90.

Redesign of Laboratory Facilities Layout Quality Control at PT. Industri Kimia

PT. The chemical industry is a company that has been producing hydrogen peroxide since 1992. One of the essential roles of this chemical factory is the Quality Control Laboratory, which functions to analyze raw materials and hydrogen peroxide products before distributing them to consumers to ensure product quality. Based on the standard of laboratory quality management system, SNI ISO/IEC 17025:2008 states that in order to facilitate the correctness of test performance, the laboratory must monitor, control and record the temperature and humidity in the testing room because it will have an impact on the validity of the quality of the data produced—however, Procurement of test equipment facilities in the QC laboratory of PT. The chemical industry is not supported by good facility layout planning, so it is necessary to rearrange the layout, including the function of equipment and materials and the conditioning of utility and electricity systems. The laboratory layout redesign parameters used are floor area measurement, ARC (Activity Relationship Chart) analysis, and ARD (Activity Relationship Diagram) analysis. The study results are in the form of calculating the total closeness rating value on the activity proximity relationship diagram, the largest value is the sample space of 6200, and the lowest value is the computer room of 200. From these calculations, a layout template for testing laboratory facilities is created based on the order of the highest total closeness rating value to the smallest value so that a laboratory layout will be obtained according to the SNI ISO/IEC 17025:2008 standard and can create an effective and efficient work environment.

Evaluating the layout quality of UML class diagrams using machine learning

UML is the de facto standard notation for graphically representing software. UML diagrams are used in the analysis, construction, and maintenance of software systems. Mostly, UML diagrams capture an abstract view of a (piece of a) software system. A key purpose of UML diagrams is to share knowledge about the system among developers. The quality of the layout of UML diagrams plays a crucial role in their comprehension.In this paper, we present an automated method for evaluating the layout quality of UML class diagrams. We use machine learning based on features extracted from the class diagram images using image processing. Such an automated evaluator has several uses: (1) From an industrial perspective, this tool could be used for automated quality assurance for class diagrams (e.g., as part of a quality monitor integrated into a DevOps toolchain). For example, automated feedback can be generated once a UML diagram is checked in the project repository. (2) In an educational setting, the evaluator can grade the layout aspect of student assignments in courses on software modeling, analysis, and design. (3) In the field of algorithm design for graph layouts, our evaluator can assess the layouts generated by such algorithms. In this way, this evaluator opens up the road for using machine learning to learn good layouting algorithms. Approach.We use machine learning techniques to build (linear) regression models based on features extracted from the class diagram images using image processing. As ground truth, we use a dataset of 600+ UML Class Diagrams for which experts manually label the quality of the layout. Contributions.This paper makes the following contributions:(1) We show the feasibility of the automatic evaluation of the layout quality of UML class diagrams.(2) We analyze which features of UML class diagrams are most strongly related to the quality of their layout.(3) We evaluate the performance of our layout evaluator.(4) We offer a dataset of labeled UML class diagrams. In this dataset, we supply for every diagram the following information: (a) a manually established ground truth of the quality of the layout, (b) an automatically established value for the layout-quality of the diagram (produced by our classifier), and (c) the values of key features of the layout of the diagram (obtained by image processing). This dataset can be used for replication of our study and others to build on and improve on this work.Editor’s note: Open Science material was validated by the Journal of Systems and Software Open Science Board..

Layout Optimization of Urban Cultural Space Construction Based on Forward Three-Layer Neural Network Model.

The change of urban cultural space layout is a multi-variable, multi-objective, and restricted research process. The optimization of urban cultural space construction and layout is a multi-objective decision-making problem that needs to be solved urgently. Based on the forward three-layer neural network theory, this paper constructs an optimization model for the construction and layout of urban cultural space evaluation of the layout of cultural space. This paper first analyzes the feasibility of combining the forward three-layer neural network model with the optimization and adjustment of cultural space layout structure. Taking the three-layer feedforward network as an example, the structure optimization model based on the forward three-layer neural network is selected, and the established model is used to reflect the internal environment of the objective world. Structure and perform dynamic simulation. In the process of simulation modeling, from the aspects of system description, model structure, logical analysis, reasoning, and interpretation, two effective computer dynamic simulation methods, namely, forward three-layer neural network model and system dynamics SD model, were carried out for theoretical comparison and identification. The experimental results show that the feasibility and calculation error of the application of the optimization model are relatively good, reaching 0.897 and 6.21%, respectively. The number of newly added cultural spaces and the expansion speed show an increasing trend, expanding at an average annual speed of about 35 km2, effectively increasing the quality of regional planning and construction layout.

Understanding the Influence of Mobile Interface of Shopee and Lazada on Customer Conversion

Mobile commerce is an industry that has rapidly grown in value over the years. Fewer customers now use their mobile devices only as a single functioning unit, expanding their purpose even to shopping. Despite its increasing popularity, recent literature reviews did not reveal a definitive study on m-commerce app interface quality and its relation to customer conversion. This paper aims to understand the influence of mobile interface on customer conversion by examining the top 2 e-commerce apps in the Philippines – Shopee and Lazada. The Regression analysis method is applied in determining relationships between variables. From a total of 385 participants, results show that dimensions of the mobile interface (visual appeal, layout quality, information quality) influence credibility and usability, except for in-app banners, which has a negligible effect on customers. The study has also found that all aspects of mobile interface positively influence customer conversion. On top of that, the researchers have also taken steps to discover that perceived trust and ease of use greatly affect customer conversion. Hence, when a customer finds an e-commerce platform to be trustworthy and user-friendly, the more they will be likely to purchase a product.

Influence of construction age on seismic vulnerability of masonry buildings damaged after 2009 L'Aquila earthquake

The aim of this study is to describe the evolution of vulnerability over the years for masonry buildings characterized by a good quality layout and/or a regular texture. To this aim, data collected shortly afterwards the L'Aquila 2009 earthquake are considered, recently released by the Italian Department of Civil Protection (DPC) through the Da.D.O. (Database di Danno Osservato, Database of Observed Damage) platform (Dolce et al., 2019) [1].The taxonomy has been defined reflecting the need to consider all the parameters available from post-earthquake inspections and the obtainment of reliable and homogeneous sample.A time-consuming data processing has been performed to obtain a generalized version of the original database, which has been integrated with census data to avoid bias in vulnerability analysis. Then, damage analysis has been done considering 5 + 1 damage grades defined for the whole building based on the conversion of damage for vertical structures in sight of the classification of European Macroseismic Scale. The analysis of mean damage values reveals the general trends as a function of the main influential parameters, i.e. construction age and horizontal structural types, having fixed the vertical structural type and the quality layout.Vulnerability curves were derived assuming a lognormal statistical model and peak ground acceleration as intensity measure, through a minimization procedure of the distance between predicted and observed mean damage.In addition, the general criteria established to define the taxonomy had allowed to accomplish a direct comparison also between vertical structures, namely buildings with good quality and regular texture analysed herein and those with bad quality and irregular layout thoroughly analysed in Del Gaudio et al. (2021) [2]; fully characterizing the behaviour of masonry buildings under lateral loads.

Prototipe Perpustakaan Virtual Museum & Galeri Sby*Ani Dengan Design Innovation Methode

Virtual architecture has unlimited space. The space is one of the answers to the 
 fulfillment of space needs on limited land in the real world. The development of 
 the library at the SBY*Ani Museum and Gallery is actually thinking about using 
 virtual architecture to meet the demands of providing an alternative space that 
 can functionate the library to keep books and collections, with low cost and 
 sustain quality layout management, and flexible visiting times for 
 readers/borrowers. Purpose of the research was finding a library prototype that 
 give a pleasant space experience and user friendly, also having an impact on the 
 sustainability of library management which was combaining architecture of the 
 virtual world and of the real world. The research used the Design Innovation 
 Method (Kumar V., 2013) which has seven different activity modes for design 
 innovation, namely: Sense Intent, Know Context, Know People, Frame Insights, 
 Explore Concepts, Frame Solutions, and Realize Offerings. The result of the 
 research was a virtual library prototype at the SBY*Ani Museum and Gallery which 
 is an effort to develop the architecture of the library space in the virtual world 
 combined with architecture in the real world. The development was carried out to 
 accommodate space needs, especially a pleasant space experience and user
 friendly space that provide books and collections, and to design other spaces that 
 can be built in the virtual world, with attractive interior designs, user friendly 
 products, safe, comfortable, and flexible for readers/borrowers. By this research 
 process which was using the Design Innovation Method, at least three prototypes 
 were found, namely D0, D1, and D2. All three have been tested and are being 
 evaluated to establish the findings of the research. This research has limitations in 
 terms of funding and research work time, in which researchers must combine the 
 research work schedule with the work schedule for the SBY*Ani Museum and 
 Gallery construction project, as well as the situation and conditions for the 
 application of restrictions on community activities due to the Covid-19 pandemic. 
 The research value was unique in terms of the research methods and findings, 
 originality, and useful impact that can be felt by the community and owner of the 
 Museum and Gallery SBY*Ani

Dynamic Multi-objective Construction Site Layout Planning Based on BIM

The planning effectiveness of construction site layout greatly influences construction efficiency. Many previous studies assumed that all the facilities exist on the construction sites for the whole duration of the projects. Some researchers found the shortcomings and developed models to improve it. But these models also have different limitations, such as ignoring the future impact of the layout decision in early construction phases on the later layout quality, only considering transportation costs when optimize the layouts, etc. To address these issues, this study proposes a building information modeling (BIM)-based model that dynamically optimizes the multi-objective construction site layout. In this model, BIM and construction schedules provide the updated construction project information. This model introduces the construction phase impact on layout. The layout of each construction phase is optimized in order of corresponding phase impact. Considering the sustainable development for construction industry, the noise pollution level is chosen to be the optimization objective together with the total transportation cost. In order to balance the noise pollution level and total transportation cost, the multi-objective particle swarm optimization (MOPSO) is applied to obtain trade-off solutions. A case study is presented to demonstrate the capability of the proposed model. The results indicate that the proposed dynamic construction site layout plan (CSLP) reduces transportation cost by 43.45% and 11.46% compared with the original and static construction site layout. This study breaks the traditional site layout plan order and locates the facilities in order of their phase impact, which can greatly reduce the transportation cost on the site. It also incorporates the noise pollution reduction into CSLP to enhance on-site sustainability.