Article
Energy & Fuels
Ruotong Wang, Xingmei Li, Chentao Li
Summary: This paper presents a sustainable battery supplier selection framework based on MCDM technique to address uncertainty and ambiguity in decision-making. This framework can assist investors in choosing the most suitable battery supplier for BSS.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Green & Sustainable Science & Technology
Hui Zhao, Jing Gao, Xian Cheng
Summary: Electric vehicles (EVs) are an effective solution to energy and environmental issues, but charging problems hinder their development. Photovoltaic charging stations can address both environmental pollution and charging issues. The location of these stations is crucial in the life cycle of EVs. This paper presents a multiple-criteria decision-making (MCDM) method based on Geographic Information Technology (GIS) for optimal site selection. The model was validated by siting charging stations in Qingdao, and the most suitable locations were selected through the MCDM stage, demonstrating the reliability and validity of the model.
Article
Thermodynamics
Xinjiang Chen, Yu Yang, Jianxiao Wang, Jie Song, Guannan He
Summary: Battery swapping station (BSS), as a business model of battery energy storage (BES), has vast potential in future low-carbon energy and transportation systems. However, frequent swapping leads to accelerated battery degradation, although it extends the economic life of the battery. A life-cycle decision model is proposed to optimize the marginal degradation cost (MDC) of BSS for maximizing its benefits in energy and transportation applications.
Article
Environmental Studies
Ertugrul Ayyildiz
Summary: This study focuses on determining the location of electric scooter charging stations, with an emphasis on the sustainability perspective in smart city practices. A new three-stage pythagorean fuzzy group decision-making methodology is developed to address this problem. A real case study in Istanbul is conducted, and the results show the importance of economic factors in determining the station's location.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Review
Energy & Fuels
Swapnil R. Revankar, Vaiju N. Kalkhambkar
Summary: Battery Swapping Station (BSS) offers an alternative way to charge Electric Vehicles (EVs), serving as grid scale energy storage with significant potential. It has a broad review of its relation with EVs and power grid, discussing various operations, research on grid integrated BSS, optimization strategies, case studies, as well as challenges and trends. BSS shows promise for the widespread adoption of EVs.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Computer Science, Artificial Intelligence
Pei Zhang, Zhenji Zhang, Daqing Gong, Xiangke Cui
Summary: An applicable multi-criteria group decision support model is developed in this paper to evaluate the location of electric vehicle charging stations. The model uses a normal wiggly hesitant fuzzy set to describe the fuzzy decision-making information and considers the potential uncertainty. Expert preferences are taken into account by using the k-means clustering method to group experts in different fields. The proposed model, which combines prospect theory and the weighted aggregated sum product assessment (WASPAS) method, outperforms existing methods and has theoretical and practical implications.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Jindong Qin, Xiaoyu Ma
Summary: This paper proposes an emergency decision-making method based on prospect theory and the extended MULTIMOORA method to evaluate emergency response plans in a group. Individuals can express their preferences using given linguistic terms. A convergent iterative algorithm is designed to resolve conflicts within the group. The stochastic multi-criteria acceptability analysis and Borda Count methods are used to combine the results. The effectiveness of the proposed method is demonstrated through a case study.
APPLIED SOFT COMPUTING
(2022)
Article
Thermodynamics
Naijie Chai, Wenliang Zhou, Gabriel Lodewijks, Ziyu Chen
Summary: This study compares four fuzzy multi-criteria decision-making methods for selecting a sustainable battery supplier (SBS) for a battery-swapping station. The results of a case analysis demonstrate that economic criteria are the most important, and fuzzy VIKOR shows greater potential in sustainable supplier decision analysis.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Engineering, Civil
Pengcheng You, John Z. F. Pang, Steven H. Low
Summary: This paper investigates the problem of online station assignment for commercial electric vehicles that request battery swapping, and proposes an efficient algorithm that performs well on realistic inputs.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Business
Jian Zhang, Xuanjian Zhang, Wei Liu, Ming Ji, Arunodaya Raj Mishra
Summary: This paper proposes a decision framework called q-ROFS-entropy-RSWM-MULTIMOORA to assess the preferences of manufacturing firms in implementing blockchain technology in SSCM. An empirical case study and comparison sensitivity investigation are conducted to demonstrate the superiority of the framework.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Green & Sustainable Science & Technology
Yan Tu, Huayi Wang, Xiaoyang Zhou, Wenjing Shen, Benjamin Lev
Summary: This study aims to develop a comprehensive evaluation methodology for assessing the level of regional water resources coordination (RWRC). By establishing a SEE evaluation indicator system and utilizing a multi-criteria decision-making approach, rankings were conducted for six relevant regions in the North China Plain, with managerial suggestions provided to enhance coordination levels.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Business
Atul Kumar Singh, V. R. Prasath Kumar, Gholamreza Dehdasht, Saeed Reza Mohandes, Patrick Manu, Farzad Pour Rahimian
Summary: This study investigates the barriers to the adoption of Blockchain Technology (BT) in Construction Supply Chain Management (CSCM) and unravels their interrelationships. The findings reveal that market-based risks, high costs for sustainability, and usage in the underground economy are the most influential barriers. In addition, inadequate knowledge/employee training, contractual risk, and scalability issues play a pivotal role in the CSCM system.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Green & Sustainable Science & Technology
Chihkang Kenny Wu, Chia-Nan Wang, Thi Kim Trang Le, Nhat-Luong Nhieu
Summary: In the post-COVID era, there is a popular trend among tourists to choose nature and idyllic rural life in fields, gardens, and farms instead of crowded modern tourist destinations. Agritourism, as an alternative tourism experience, shows high potential for the tourism industry and positively impacts agricultural production in rural areas. This study introduces a combined decision-making model for optimal agritourism destination identification, using spherical fuzzy set (SFSs) and decision-making trial and evaluation laboratory (DEMATEL) to determine the criteria's importance and their causal relationship, and spherical fuzzy evaluation based on distance from average solution (EDAS) to prioritize alternative destinations.
Article
Computer Science, Information Systems
Decui Liang, Bonny Ernestina Linda, Mingwei Wang, Zeshui Xu
Summary: The good development of health care is beneficial for improving the value and prospects of society. However, Ghana's health sectors are facing challenges in providing quality medical services to a growing number of patients. This paper proposes an integrated medical triangular fuzzy MULTIMOORA approach (IMTFMA) to properly evaluate the quality of hospital health-care delivery in Ghana.
INFORMATION SCIENCES
(2022)
Article
Green & Sustainable Science & Technology
Min-Der Lin, Ping-Yu Liu, Jia-Hong Kuo, Yu-Hao Lin
Summary: This study proposes a grid-based multiobjective stochastic allocation model for scooter BSS, aiming to address the uncertain nature of battery swapping demand. By utilizing sample average approximation and Monte Carlo simulation, the model proves effective in solving the uncertain BSD problem and optimizing BSS allocation.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Construction & Building Technology
Gabriele Bernardini, Tiago Miguel Ferreira, Pilar Baquedano Julia, Rafael Ramirez Eudave, Enrico Quagliarini
Summary: This research offers a methodology for combined spatiotemporal flood risk assessment, considering hazard, physical vulnerability, user exposure, and vulnerability. It adopts a mesoscale approach and investigates indoor and outdoor users' exposure and vulnerability, using the Analytical Hierarchy Process to combine risk factors.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Ying Liu, Chunli Chu, Ruijun Zhang, Shaoqing Chen, Chao Xu, Dongliang Zhao, Chunchun Meng, Meiting Ju, Zhi Cao
Summary: This study investigates the effects of increasing road, wall, and roof albedo on mitigating the urban heat island (UHI) effect in different areas of Tianjin. The results reveal that increasing road albedo is more effective in fringe areas, while increasing wall and roof albedo is more effective in central areas. The temperature changes induced by albedo changes also show seasonal characteristics.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Xisheng Lin, Yunfei Fu, Daniel Z. Peng, Chun-Ho Liu, Mengyuan Chu, Zengshun Chen, Fan Yang, Tim K. T. Tse, Cruz Y. Li, Xinxin Feng
Summary: This study employed computational fluid dynamics and neural network models to investigate and predict pollutant dispersion in urban environments, providing valuable insights for designing effective strategies to mitigate the impacts of hazardous pollutants.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Dipanjan Nag, Arkopal Kishore Goswami
Summary: Future-oriented urban planning should continue to focus on the principles of accessible and walkable cities. The perception of people is crucial for developing better urban walking infrastructure, but current evaluation tools often neglect the "perceived" features of the walking network. This study used conjoint analysis to evaluate users' perception of link and network attributes, revealing the importance of considering both in improving the walking environment.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Yongxin Su, Tao Zhang, Mengyao Xu, Mao Tan, Yuzhou Zhang, Rui Wang, Ling Wang
Summary: This study proposes an optimization method for household integrated demand response (HIDR) by combining rough knowledge and a dueling deep Q-network (DDQN), aiming to address uncertainties in a household multi-energy system (HMES). The simulation results demonstrate that the proposed method outperforms rule-based methods and DDQN in terms of energy cost savings.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Sijia Sun, S. F. A. Batista, Monica Menendez, Yuanqing Wang, Shuang Zhang
Summary: This paper comprehensively analyzes the energy consumption characteristics of electric buses (EBs) and diesel buses (DBs) on different bus lane configurations and operational conditions. The study shows that EBs consume less energy in suburban areas when using regular lanes, while both EBs and DBs save substantial energy when operating on dedicated bus lanes in downtown areas. Notably, shared-use bus lanes have the highest energy consumption.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Shangshang Shen, Dan Yan, Xiaojie Liu
Summary: This study developed a comprehensive theoretical framework for evaluating, diagnosing, and optimizing multi-functional urban agriculture. The framework was applied in Xiamen, China to identify the obstacles that impede its coordinated development and propose optimized modes for its development. Results showed that urban agriculture in Xiamen exhibits sound social function, moderate economic function, and poor ecological function.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Oluwafemi E. Adeyeri, Akinleye H. Folorunsho, Kayode I. Ayegbusi, Vishal Bobde, Tolulope E. Adeliyi, Christopher E. Ndehedehe, Akintomide A. Akinsanola
Summary: This study examines the impact of land cover, vegetation health, climatic forcings, elevation heat loads, and terrain characteristics on land surface temperature distribution over West Africa. The random forest model performs the best in downscaling predictands. The southern regions consistently exhibit healthy vegetation, while areas with unhealthy vegetation coincide with hot land surface temperature clusters. Positive Normalized Difference Vegetation Index trends in the Sahel highlight rainfall recovery and subsequent greening. Southwest winds cause the upwelling of cold waters, resulting in low land surface temperatures in southern West Africa. Considering LVCET factors is crucial for prioritizing greening initiatives and urban planning.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Yuchi Cao, Yan Li, Shouyun Shen, Weiwei Wang, Xiao Peng, Jiaao Chen, Jingpeng Liao, Xinyi Lv, Yifan Liu, Lehan Ma, Guodian Hu, Jinghuan Jiang, Dan Sun, Qingchu Jiang, Qiulin Liao
Summary: The study reveals significant disparities in urban green equity, with high property price areas having better access to green spaces than low property price areas. Landscape and greening have the most significant impact on urban green space differentiation.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Shaobo Sun, Kui Shan, Shengwei Wang
Summary: Economizer control is an important measure for energy savings in air-conditioning systems during moderate seasons. Humidity measurement uncertainties have a significant impact on enthalpy-based economizer control, and an uncertainty-tolerant control strategy is proposed to mitigate these effects.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Ding Mao, Peng Wang, Yi-Ping Fang, Long Ni
Summary: This study analyzes the structure, function, operation, and failure characteristics of district heating networks (DHNs) and proposes vulnerability analysis methods. The effectiveness of these methods is validated through application to a DHN in a Chinese city. The study finds that the heat source connectivity efficiency loss rate effectively characterizes topological and functional vulnerability. It also reveals that controllable DHNs have higher functional vulnerability under large area failure scenarios.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Hamid Karimi, Saeed Hasanzadeh, Hedayat Saboori
Summary: This paper presents a stochastic and cooperative approach for the operation of a cluster of interconnected multi-energy systems. The proposed model investigates the interaction among energy systems and integrates hydrogen and water systems into the overall energy structure. The model studies the performance of energy system agents in decentralized and cooperative scheduling.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Zhiyu Yan, Xiaogang Guo, Zilong Zhao, Luliang Tang
Summary: This study proposes a novel framework for fine-grained information extraction and dynamic spatial-temporal awareness in disaster-stricken areas based on social media data. The framework utilizes deep learning modules to extract location and water depth information from text and images, and analyzes the spatio-temporal distribution characteristics. The results show that the fusion of text and image-based information can enhance the perception of flood processes.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
M. A. Pans, G. Claudio, P. C. Eames
Summary: This study simulated and optimized a speculative district heating system in an existing urban area in Loughborough, UK. The system used only renewable heat sources and thermal energy storage to address the mismatch between heat generation and demand. The study assessed the impact of long-term storage volume and charging temperature on system cost and energy efficiency.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Jianmei Zhong, Wei Zhang, Xiaoli Wang, Jinsheng Zhan, Tao Xia, Lingzhi Xie, Xiding Zeng, Kun Yang, Zhangyu Li, Ruiwen Zou, Zepu Bai, Qing Wang, Chenyang Zhang
Summary: This study aims to propose a suitable air distribution design and reduce the energy consumption of the BSL-4 laboratory. It analyzes the diffusion characteristics of aerosols, infection risk under different air distributions, and ventilation parameters. The results show that the proposed energy-saving operation strategy can reduce the energy consumption of the laboratory by 15-30%.
SUSTAINABLE CITIES AND SOCIETY
(2024)