scholarly journals Minimizing the Social Impact of Construction Work on Mobility: A Decision-Making Method

2020 ◽  
Vol 12 (3) ◽  
pp. 1183 ◽  
Author(s):  
Maria del Mar Casanovas-Rubio ◽  
Gonzalo Ramos ◽  
Jaume Armengou

Minimising the impacts of construction work on mobility, especially in urban areas, is a major issue for local authorities and construction planners that has not been sufficiently studied. This paper proposes a deterministic decision-making method for quantifying the impacts of construction work on mobility, including emergency vehicles, mass transit, individual transport, bicycles, and pedestrians. The method is based on multi-attribute utility theory, interviews with experts representing various stakeholders in construction, and a review of the literature and legislation. The practical use is illustrated with a real case study in which two shaft-construction processes (diaphragm wall excavated using a hydromill and vertical shaft sinking machine) are compared and ranked. The sensitivity analysis shows the robustness of the results. The resulting Mobility Impact Index can easily be integrated with other social, economic, and environmental criteria, thereby enabling the evaluation of alternatives from a multi-criteria perspective, e.g., in tender processes. The method could be useful to public authorities and design and construction companies and is being piloted in construction projects of the city of Barcelona. It has implications for corporate social responsibility, social/sustainable procurement, and social/sustainable impact assessment in construction.

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Peng Yan ◽  
Junying Liu ◽  
Martin Skitmore

Deciding whether bid for the construction project is classic risk-based decision-making that is crucial to the survival and prosperousness of construction companies. More contractors are adopting group bidding decision-making to reduce the number of incorrect decisions. However, previous related studies mainly focus on project factors that overlook the members of bidding groups and the interaction between bidding group members. The aim of this paper, therefore, is to investigate the potential factors that influence group bidding decision-making for construction projects. Twenty factors relating to individual, group, and organizational levels are identified through a literature review and interviews with experienced practitioners. A questionnaire survey of 203 Chinese international contractors is conducted to obtain the importance of the factors involved. The results of the ranking analysis indicate 14 critical factors, among which “risk perception” and “team decision preference” are regarded as the two most significant. Moreover, 20 factors can be classified into five groupings: (1) values and strategic goals, (2) collaboration and learning orientation, (3) consensus reaching, (4) risk awareness, and (5) empowerment and development, with risk awareness having an especially strong influence. This research deepens the understanding of factors belonging to different organizational levels that need to be highlighted during the group bidding decision-making process and provides strategies for bidding groups and their companies to improve their decision performance.


2021 ◽  
Vol 13 (3) ◽  
pp. 1328
Author(s):  
Young-Su Kim ◽  
U-Yeol Park ◽  
Seoung-Wook Whang ◽  
Dong-Joon Ahn ◽  
Sangyong Kim

Construction projects in urban areas tend to be associated with high-rise buildings and are of very large-scales; hence, the importance of a project’s underground construction work is significant. In this study, a rational model based on machine learning (ML) was developed. ML algorithms are programs that can learn from data and improve from experience without human intervention. In this study, self-organizing maps (SOMs) were utilized. An SOM is an alternative to existing ML methods and involves a subjective decision-making process because a developed model is used for data training to classify and effectively recognize patterns embedded in the input data space. In addition, unlike existing methods, the SOM can easily create a feature map by mapping multidimensional data to simple two-dimensional data. The objective of this study is to develop an SOM model as a decision-making approach for selecting a retaining wall technique. N-fold cross-validation was adopted to validate the accuracy of the SOM model and evaluate its reliability. The findings are useful for decision-making in selecting a retaining wall method, as demonstrated in this study. The maximum accuracy of the SOM was 81.5%, and the average accuracy was 79.8%.


Author(s):  
Nelma Mirian Chagas Araújo ◽  
Luciana De Lira Avelino ◽  
Vanessa Da Silva Araujo

<p>The challenges, peculiarities and specificities of civil construction projects make current management models insufficient to guarantee, in a satisfactory way, the achievement of the proposed objectives. Characteristics such as the difficulty of making specific planning and cost control, the existence of a large number of interdependencies among the projects that make up the enterprise, the need for significant speed of responses to decision making and the large number of stakeholders, contribute significantly to the construction scenario, being a challenge for any management methodology. This article presents part of the results of a survey carried out in vertical building companies in the city of João Pessoa-PB, whose objective was to investigate whether construction companies carry out the planning and cost control of their projects, whether there is compatibility between them and if they use compatibilization as an aid when taking decisions. 10 construction companies were examined, all of them were registered in Sinduscon-JP. The results indicate that all the companies carry out the planning and cost control of their projects, however, there is no compatibility amongthem and, consequently, they cannot be used by their managers in decision making.</p>


2021 ◽  
Vol 32 (2) ◽  
pp. 129-153
Author(s):  
Shipeng Han ◽  
Zabihollah Rezaee ◽  
Ling Tuo ◽  
Jia Wu

2021 ◽  
Vol 13 (9) ◽  
pp. 4749
Author(s):  
Milo Costanza-van den Belt ◽  
Tayanah O’Donnell ◽  
Robert Webb ◽  
Eleanor Robson ◽  
Robert Costanza ◽  
...  

Civil society engagement is important for enabling urban systems transformations that meet community needs. The development of Future Earth Australia’s Sustainable Cities and Regions: A 10-Year Strategy for Urban Systems was underpinned by cross-sectoral workshops in 7 Australian urban areas and interviews with key stakeholders to create a shared vision of both current and desired future urban structure and policy. We then created an online survey to gauge broader community feedback on the vision which emerged from these workshops and interviews, to compare their outcomes with the views of community members who could be directly impacted by urban decision-making. The survey consisted of 35 questions, which were shaped by the issues emerging from the workshops and interviews. The sample was self-selected, and the 641 respondents represented a cross-section of individuals interested in sustainable cities. Our survey results supported and expanded on the major conclusions of FEA’s National workshop and interview processes, including the need to develop transparent and responsive decision-making processes, limit waste and pollution and develop effective housing and transport alternatives with mixed-use neighborhoods and adequate green space.


2016 ◽  
Vol 12 (1) ◽  
pp. 1 ◽  
Author(s):  
Andrea Tomo ◽  
Giovanni Landi

The aim of this work is to understand the role of the Environmental, Social and Governance (ESG) paradigm in the corporate assessment by investors and the use of this paradigm as guide for managerial decision-making process by corporations. A review of the international literature is provided using five different couples of keywords on Thomson Reuters ISI Web of Knowledge research engine. The literature production increased only after the 2007 crisis and the median year of the results is 2011, thus highlighting just a recent attention to themes as ethics and corporate social responsibility. Main limitations are related to the classic limitations of literature reviews, as the choice of number and type of keywords and journals, the resulting selection of studies, the choice of relevant outcomes and the interpretation, generalization and application of results. The study provides both theoretical and practical implications: a complete review of contributions on the theme is provided; then, some insights in investors and corporations behaviors through the ESG lens, thus suggesting a more ethical and responsible behavior in investment decision-making processes.


2020 ◽  
Vol 12 (16) ◽  
pp. 6395
Author(s):  
Marco Criado ◽  
Antonio Martínez-Graña ◽  
Fernando Santos-Francés ◽  
Leticia Merchán

In recent years, the landscape has become another environmental resource, so it is important to incorporate it into planning actions. However, its broad sense of study has made it difficult to develop methodologies that precisely diagnose the state of the landscape and its management requirements, especially in dynamic spaces like urban areas. In order to develop a method capable of providing information that can be incorporated into environmental assessment and territorial planning tasks so that the needs of the landscape are taken into account in the decision-making stages, an objective methodology is presented based on the study of different parameters (biotic, abiotic and socioeconomic) analyzed in the field and subsequently geoprocessed through Geographic Information Systems according to their influence on the landscape. Through the proposed methodology it is possible to determine the quality, fragility and need of protection of the landscape, as well as to identify the diverse landscape units that form the landscape of a territory. Based on these results, a landscape diagnosis can be drawn up to quantify its overall and partial state, carry out monitoring analyses and make comparisons between different landscape units, so that management measures can be adopted according to the obtained scenarios.


2021 ◽  
Vol 13 (13) ◽  
pp. 2534
Author(s):  
Andrea Ciampalini ◽  
Paolo Farina ◽  
Luca Lombardi ◽  
Massimiliano Nocentini ◽  
Veronica Taurino ◽  
...  

Slow to extremely slow landslides in urban areas may cause severe damage to buildings and infrastructure that can lead to the evacuation of local populations in case of slope accelerations. Monitoring the spatial and temporal evolution of this type of natural hazard represents a major concern for the public authorities in charge of risk management. Pariana, a village with 400 residents located in the Apuan Alps (Massa, Tuscany, Italy), is an example of urban settlement where the population has long been forced to live with considerable slope instability. In the last 30 years, due to the slope movements associated with a slow-moving landslide that has affected a significant portion of the built-up area, several buildings have been damaged, including a school and the provincial road crossing the unstable area, leading to the need for an installation of a slope monitoring system with early warning capabilities, in parallel with the implementation of mitigation works. In this paper, we show how satellite multi-temporal interferometric synthetic aperture radar (MT-InSAR) data can be effectively used when coupled with a wireless sensor network made of several bar extensometers and a borehole inclinometer. In fact, thanks to their wide area coverage and opportunistic nature, satellite InSAR data allow one to clearly identify the spatial distribution of surface movements and their long-term temporal evolution. On the other hand, geotechnical sensors installed on specific elements at risk (e.g., private buildings, retaining walls, etc.), and collected through Wi-Fi dataloggers, provide near real-time data that can be used to identify sudden accelerations in slope movements, subsequently triggering alarms. The integration of those two-monitoring systems has been tested and assessed in Pariana. Results show how a hybrid slope monitoring program based on the two different technologies can be used to effectively monitor slow-moving landslides and to identify sudden accelerations and activate a response plan.


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