How Green Building Product Decisions from Customers Can Be Transitioned to Manufacturers: An Agent-Based Model

Meng, Qingfeng; Zhu, Hongming; Zhen, Li; Du, Jianguo; Wang, Xiangyu; Kim, Mi Jeong

doi:10.3390/su10113977

Cited by 11 publications

(9 citation statements)

References 50 publications

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“…The recorded population growth combined with the rapid changes and advances in technologies has facilitated the increase of the waste generated worldwide [37,[46][47][48][49], among which, e-waste plays an important role due to the harmful effects on both environment and health. A broad range of research has been written in the area of e-waste recycling, addressing the issue from different point of views.…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania

et al. 2020

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Due to the increase of the amount of electrical and electronical equipment waste (e-waste), the understanding of individual consumers’ main decision triggers represents a key point in increasing the quantity of recycled e-waste. A series of studies from the literature have shown a positive relationship between the consumers’ attitude, awareness, self-efficacy, social norms, and their e-waste recycling intention, as well as the positive influence between the intention and the manifested behavior. Additional to these determinants, in the present study, the influence of social media was analyzed along with the actions taken by the government and nongovernmental organizations, with the purpose to include and to capture, as much as possible, a high amount of determinants in the e-waste recycling process. Nevertheless, the demographic or socio-economic variables, such as age, gender, income, education, number of family members, etc., have shown over time to have a contribution to predicting the consumers’ pro-recycling behavior. As on one side, in the research literature, the opinions related to which of the demographic or socio-economic factors can have an impact on the recycling behavior have been divided and, on another side, a series of researchers believe that the discrepancies in the findings of different studies can be due to culture in various countries, in this paper we conducted such an analysis with reference to the Romania’s case. The results have shown that the demographic variables, such as age and gender, can have a contribution to predicting residents’ pro-e-waste recycling behavior. Based on these findings, the policymakers can gain a better understanding of the e-waste recycling phenomenon and on its main triggers, with results in creating better policies for sustaining a proper e-waste managing system.

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Section: Literature Reviewmentioning

confidence: 99%

Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania

et al. 2020

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“…Many factors are considered to affect the location decision of enterprises, including some internal factors, such as the nature, scale, and self-organization structure of the enterprise [71][72][73][74]. There are also some external factors that will affect decision-making of enterprise agents, such as land price [75,76], infrastructure [77][78][79], and population concentration [80][81][82][83]. After considering enterprise agents' data availability and quantification, we chose house price, GDP, population density, commercial density, distance from industrial areas, and distance from science parks as the main external factors affecting the spatial choice behavior of enterprises (Figure A6).…”

Section: Enterprise Agentsmentioning

confidence: 99%

Simulation of the Urban Jobs–Housing Location Selection and Spatial Relationship Using a Multi-Agent Approach

Wang

Zeng

Cao

2021

IJGI

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The jobs–housing balance concerns the spatial relationship between the number of jobs and housing units within a given geographical area. Due to the separation of jobs and housing, spatial dislocations have occurred in large cities, which have resulted in a significant increase in commuting distance and time. These changes have ultimately led to an increase in pressure on urban traffic, and the formation of tidal traffic. In this study we introduce a multi-agent approach to examine the jobs–housing relationship under the maximum location utility of agents. The jobs/housing ratio measures the balance of the of jobs–housing relationship, as well as comparing and analyzing jobs–housing separation in Beijing by district, county, and street scales. An agent-based model was proposed to simulate spatial location selection behavior of agents by considering environmental and economical influences on residential decisions of individuals. Results show that the jobs–housing relationship imbalance in Beijing has been mainly aggravated due to rapid population growth in the 6th Ring Road. An imbalance in the jobs–housing relationship has arisen due to a mismatch with the number of households available compared to the number of jobs; the surrounding urban areas cannot provide the required volume of housing to accommodate the increase in workers. Six sets of experiments were established to examine resident agents and enterprise agents. Differences in resident agents’ income level had a greater impact on residential location decision-making, and housing price was the primary factor affecting the decision of residents to choose their residential location. The spatial distribution of jobs and housing in Beijing under the maximization of micro-agent location utility was obtained in this study. Results indicated that the imbalance in the jobs¬-housing relationship in central Beijing has improved and, compared with the initial distributions, the number of jobs–housing balance areas in Beijing has increased.

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“…Agriculture [26], [28], [33], [34], [35], [54], [58], [60], [61], [78], [83], [84] , [87], [98] Buildings [70], [96] Climate [41] Corporate behavior [30], [75] Common pool resources (CPR) [29], [42], [52], [89] Ecosystems [49], [55] Energy [20], [24], [51], [59], [63], [77], [80], [81], [86], [ [16], [39], [82] Transportation [18], [21], [32], [43], [45], [48], [50], [62], [64], [74], [76], [85] ,…”

Section: Application Domain Referencesmentioning

confidence: 99%

Agent-based modeling and simulation in the research of environmental sustainability. A bibliography

Șușnea

Pecheanu

2021

Present Environment and Sustainable Development

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In the context of the alarming news about climate changes, resource depletion, ecological disasters, and demographic trends, the interest of the researchers and the scientific literature on topics related to sustainability grew exponentially in the past two decades. In 2020 only, the number of publications indexed in the Web of Science (WoS) having the keywords “sustainability” or “sustainable development” in the topic was higher than 42,000. Facing this flood of literature, the present work aims to ease the effort of locating relevant studies about the applications of Agent-based Modeling and Simulation (ABMS) in the research of environmental sustainability. This goal is accomplished by: (a) providing a comprehensive bibliography of recent relevant articles on this topic, (b) identifying the most popular domains of application of ABMS in this field, and (c) building a list of the available simulation tools. We found that most of the selected studies (52%) are designed for management related acticities (decision support, policy making etc.), the application domain addressed by the largest number of articles (27%) is agriculture and related activities (pastoralism, hunting, fishery, and forestry), and the most popular simulation platform is NetLogo (15%).

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How Green Building Product Decisions from Customers Can Be Transitioned to Manufacturers: An Agent-Based Model

Cited by 11 publications

References 50 publications

Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania

Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania

Simulation of the Urban Jobs–Housing Location Selection and Spatial Relationship Using a Multi-Agent Approach

Agent-based modeling and simulation in the research of environmental sustainability. A bibliography

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