Sustainable Cities and Society最新文献

Collaborative planning of regional integrated energy system in the era of EV penetration: A comprehensive review

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-11-26 DOI: 10.1016/j.scs.2024.106013

Qinshan Yang , Yingjun Ruan , Fanyue Qian , Hua Meng , Yuting Yao , Tingting Xu , Chaoliang Wang , Wei Liu

{"title":"Collaborative planning of regional integrated energy system in the era of EV penetration: A comprehensive review","authors":"Qinshan Yang , Yingjun Ruan , Fanyue Qian , Hua Meng , Yuting Yao , Tingting Xu , Chaoliang Wang , Wei Liu","doi":"10.1016/j.scs.2024.106013","DOIUrl":"10.1016/j.scs.2024.106013","url":null,"abstract":"<div><div>The widespread adoption of electric vehicles (EVs) significantly increases the uncertainty and complexity of regional integrated energy system (RIES), leading to substantial changes in their structure and characteristics. This paper reviews the challenges and proposes strategies for collaborative RIES planning in the context of EV. Firstly, the evolution of RIES is analyzed, including its structural changes and characteristics. Secondly, the influence of EV penetration on the source-network-load-storage links within RIES is analyzed. Reviews of literature indicate that under certain conditions, EV even has the potential to replace around 20% of energy storage demand, reducing transportation costs by over 20% while also minimizing energy losses. This paper then summarizes various planning methods for RIES, including the siting and sizing of energy stations, the layout planning of energy networks, and the siting and sizing of EV charging stations. Based on the literature survey conducted in this study, only around 10% of station-network collaborative planning papers consider the impact of EVs, and this paper categorizes these findings into three main methods. This paper aims to provide a solid theoretical foundation and practical guidance for RIES planning in the era of EV penetration.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"118 ","pages":"Article 106013"},"PeriodicalIF":10.5,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting origin-destination flows by considering heterogeneous mobility patterns

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-11-26 DOI: 10.1016/j.scs.2024.106015

Yibo Zhao , Shifen Cheng , Song Gao , Peixiao Wang , Feng Lu

{"title":"Predicting origin-destination flows by considering heterogeneous mobility patterns","authors":"Yibo Zhao , Shifen Cheng , Song Gao , Peixiao Wang , Feng Lu","doi":"10.1016/j.scs.2024.106015","DOIUrl":"10.1016/j.scs.2024.106015","url":null,"abstract":"<div><div>The accurate prediction of origin-destination (OD) flows is essential for advancing sustainable urban mobility and supporting resilient urban planning. However, the inherent heterogeneity of mobility patterns results in complex geographic unit relations, diverse spatial organizational structures, and the long-tailed effect on OD flow distribution. This study proposes a novel OD flow prediction method based on graph-based deep learning (named as HMCG-LGBM). Specifically, 1) a modularity-based graph reconstruction strategy is presented for geographic unit relation augmentation by eliminating weak connections; 2) the heterogeneous spatial organization of OD flows is captured by combining the community detection approach and graph attention mechanism with the introduction of socio-economic and spatial features; and 3) a weighted loss function with distribution smoothing paradigm is developed to enhance the prediction for low-probability mobility events, addressing the challenges posed by long-tailed distributions. Extensive experiments conducted on real-world datasets show that the predictive performance of the proposed method is significantly improved, with the RMSE and MAE reduced from the baselines by 11.1%–33.3% and 14.1%–22.2%, respectively. The results also demonstrate the robustness of the proposed method for dealing with imbalanced OD flow distributions, providing valuable insights for spatial interaction predictive modeling in the context of sustainable urban systems.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"118 ","pages":"Article 106015"},"PeriodicalIF":10.5,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nonlinear relationships between canopy structure and cooling effects in urban forests: Insights from 3D structural diversity at the single tree and community scales

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-11-24 DOI: 10.1016/j.scs.2024.106012

Jia Jia , Lei Wang , Yunlong Yao , Zhongwei Jing , Yalin Zhai , Zhibin Ren , Xingyuan He , Ruonan Li , Xinyu Zhang , Yuanyuan Chen , Zhiwei Ye

{"title":"Nonlinear relationships between canopy structure and cooling effects in urban forests: Insights from 3D structural diversity at the single tree and community scales","authors":"Jia Jia , Lei Wang , Yunlong Yao , Zhongwei Jing , Yalin Zhai , Zhibin Ren , Xingyuan He , Ruonan Li , Xinyu Zhang , Yuanyuan Chen , Zhiwei Ye","doi":"10.1016/j.scs.2024.106012","DOIUrl":"10.1016/j.scs.2024.106012","url":null,"abstract":"<div><div>Three-dimensional structural diversity (3SD) directly influences the distribution and flow of heat within the canopy. However, the nonlinear effects of 3SD of different species on the cooling effects remain unclear. Here, we proposed an analytical framework to explore this relationship at the single tree and community scales. Results indicated that: (1) A benchmark dataset for individual tree segmentation was established, with the best-performing algorithm achieving an accuracy of 77.36% (F-score=0.75), the UAV-based LiDAR, multispectral and thermal infrared imagery using a data fusion approach achieved a better species classification accuracy of 80.41% (kappa=0.78); (2) At the single tree scale, the cooling effects are controlled by vertical structure, heterogeneity, and leaf density (15.36%<rel.inf<26.84%). Entropy, VAI, and H<sub>max</sub> exhibited the largest seasonal relative importance change rates (7%<|Δrel.inf|<11%); (3) At the community scale (10m × 10m), VAI contributed the most to coniferous cooling in summer, while H<sub>max</sub> had the greatest impact on broadleaf cooling in winter. Species’ spatial connectivity had a significantly greater impact on the cooling effects in broadleaf in summer and coniferous in winter compared to structural diversity. This study supports optimizing urban forestry by demonstrating UAV-based data fusion for species classification and highlighting structural diversity's role in regulating temperature across scales and seasons.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"118 ","pages":"Article 106012"},"PeriodicalIF":10.5,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification of urban thermal properties by combining urban microclimate modeling and thermal infrared satellite data 结合城市小气候建模和热红外卫星数据识别城市热特性

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-11-23 DOI: 10.1016/j.scs.2024.105995

Thaïs Keravec-Balbot , Auline Rodler , Laure Roupioz , Marjorie Musy , Teddy Gresse , Xavier Briottet

{"title":"Identification of urban thermal properties by combining urban microclimate modeling and thermal infrared satellite data","authors":"Thaïs Keravec-Balbot , Auline Rodler , Laure Roupioz , Marjorie Musy , Teddy Gresse , Xavier Briottet","doi":"10.1016/j.scs.2024.105995","DOIUrl":"10.1016/j.scs.2024.105995","url":null,"abstract":"<div><div>Climate models are increasingly used to predict urban climate, but uncertainties in urban surface properties, such as thermal conductivity and capacity, lead to inaccuracies in comfort indices calculations. The forthcoming TRISHNA satellite mission will provide a unique dataset of thermal infrared imagery (TIR) to study urban area, with a planned spatial resolution of 57 meters and a revisit schedule of three times every eight days.</div><div>This study aims to develop a novel method to identify urban thermal properties based on prior knowledge by combining urban microclimate modeling and high spatial resolution satellite TIR, to provide input to microclimate urban models, for outdoor summer comfort assessment. Using a Bayesian approach, the method compares observed satellite-derived land surface temperatures (LST) with simulated LST from a combination of microclimate (Solene micro-climate) and radiative (DART) models. In this present work, as TRISHNA not yet operational, simulated data also serves as the observations.</div><div>An ideal street canyon model, representing typical urban structures, was used to validate the method. The approach improved the accuracy of thermal property estimates for horizontal surfaces by up to three times compared to random estimations within prior intervals. Best results were achieved with daytime TIR images acquired during the hottest days.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"118 ","pages":"Article 105995"},"PeriodicalIF":10.5,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142720700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing urban emergency response: A Euclidean distance-based framework for optimizing rescue facility layouts

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-11-23 DOI: 10.1016/j.scs.2024.106006

Chengye Ma , Mingxing Song , Weitao Zeng , Xinuo Wang , Tao Chen , Shihai Wu

{"title":"Enhancing urban emergency response: A Euclidean distance-based framework for optimizing rescue facility layouts","authors":"Chengye Ma , Mingxing Song , Weitao Zeng , Xinuo Wang , Tao Chen , Shihai Wu","doi":"10.1016/j.scs.2024.106006","DOIUrl":"10.1016/j.scs.2024.106006","url":null,"abstract":"<div><div>This study presents a Euclidean distance-based framework for optimizing the layout of urban emergency rescue facilities. Traditional precinct-based (Type 1) and dynamic time-based (Type 2) models are compared with the proposed Euclidean distance-based (Type 3) model. The analysis uses geospatial and statistical methods to evaluate accessibility, variability, and fairness across different times of the day. The results indicate that the Euclidean distance-based model enhances rescue response efficiency and maintains a more equitable service distribution relative to traditional models. The study identifies a “threshold effect” in rescue times, emphasizing the critical distance beyond which rescue efficiency declines. By leveraging real-time traffic data and integrating Euclidean distance principles, the proposed framework offers a robust and practical approach for urban planners to improve emergency response capabilities and urban resilience. This research underscores the importance of considering both geometric proximity and dynamic traffic conditions in the strategic placement of rescue facilities, providing valuable insights for future urban emergency management and planning.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"118 ","pages":"Article 106006"},"PeriodicalIF":10.5,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Susceptibility and risk to inhalation of pathogen-laden aerosol in large public spaces: Evidence from Fangcang Shelter Hospitals under multiple ventilation rates 大型公共场所吸入病原体气溶胶的易感性和风险：多种通风率下芳草地医院的证据

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-11-22 DOI: 10.1016/j.scs.2024.106003

Chuan Jiang , Zhijian Liu , Yongxin Wang , Guangpeng Yao , Junzhou He , Shiyue Li , Rui Rong , Zhenyu Liang , Jiaqi Chu , Jingwei Liu

{"title":"Susceptibility and risk to inhalation of pathogen-laden aerosol in large public spaces: Evidence from Fangcang Shelter Hospitals under multiple ventilation rates","authors":"Chuan Jiang , Zhijian Liu , Yongxin Wang , Guangpeng Yao , Junzhou He , Shiyue Li , Rui Rong , Zhenyu Liang , Jiaqi Chu , Jingwei Liu","doi":"10.1016/j.scs.2024.106003","DOIUrl":"10.1016/j.scs.2024.106003","url":null,"abstract":"<div><div>To enhance the prevention and control of pandemic respiratory infections, we constructed an infection risk prediction model for pathogen inhalation based on the dose-response relationship with reference to the long-distance transmission chain of the SARS-CoV-2 pathogen, applying it to the Fangcang Shelter Hospital (FSH). The model quantitatively describes key processes of pathogens shedding, airborne transmission, suspension, inhalation by susceptible individuals, and lung deposition, thus improving the resolution and accuracy of the results. This study considered four ventilation rates and quantitatively assessed their impact on inhalation infection risk. Results indicate that the infection risk within the multi-patient shelter unit is unevenly distributed, with the maximum probability (3.66 %) being more than 30 times higher than the minimum probability (0.10 %) at a ventilation rate of 8 ACH. Poor ventilation (6 ACH) significantly increases average infection probability, with a rise of 35.96 % compared to the average probability (1.14 %) at 8 ACH. However, excessive ventilation (12 ACH) led to diminishing returns on ventilation performance. Lastly, we also found that poor ventilation was a sufficient and non-essential condition for higher infection probability. Our findings can be extended to similar large-scale scenarios, offering positive support for the sustainable development of society.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"118 ","pages":"Article 106003"},"PeriodicalIF":10.5,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142720702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PM2.5 reduces the daytime/nighttime urban heat island intensity over mainland China PM2.5 可降低中国大陆白天/夜间城市热岛强度

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-11-22 DOI: 10.1016/j.scs.2024.106001

Zihao Feng , Xuhong Wang , Mengqianxi Yu , Yimei Yuan , Bingqian Li

{"title":"PM2.5 reduces the daytime/nighttime urban heat island intensity over mainland China","authors":"Zihao Feng , Xuhong Wang , Mengqianxi Yu , Yimei Yuan , Bingqian Li","doi":"10.1016/j.scs.2024.106001","DOIUrl":"10.1016/j.scs.2024.106001","url":null,"abstract":"<div><div>PM<sub>2.5</sub> pollution severely threatens people's living environment and health, significantly affect urban heat island (UHI). In this study, in-situ observed data were combined with satellite data via refined pollution intensity classification methods, and the relationships between PM<sub>2.5</sub> and canopy/surface UHI (CUHI/SUHI) were analyzed. PM<sub>2.5</sub> reduced the UHI in nearly all the environments, with more pronounced effects during clear-sky daytime and winter (-0.33 °C for the SUHI) and less pronounced effects at all-sky nights and in summer. For the former, PM<sub>2.5</sub> primarily diminishes the UHI intensity (UHII) by weakening incident radiation; this radiative forcing effect is exacerbated by the combination of PM<sub>2.5</sub> and high humidity, which is further amplified by winter pollution peaks. At night, the UHII primarily influenced by the initial temperature conditions during the day. Less intake of surface energy on high-pollution days, which in turn affects longwave radiation from the surface/canopy at night. Additionally, PM<sub>2.5</sub> has been found to significantly influence UHI through its interaction with potential influential factors and its filtering effect (different PM<sub>2.5</sub> levels correspond to varying conditions of these factors). This study with new insights into the impact of PM<sub>2.5</sub> on UHI could aid in the design of strategies to improve urban heat and pollution environments.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"118 ","pages":"Article 106001"},"PeriodicalIF":10.5,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142720701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The impacts and thresholds detection of 2D/3D urban morphology on the heat island effects at the functional zone in megacity during heatwave event 热浪事件中二维/三维城市形态对特大城市功能区热岛效应的影响及阈值检测

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-11-19 DOI: 10.1016/j.scs.2024.106002

Yicong Chen , Weibo Ma , Yamei Shao , Nan Wang , Zhaowu Yu , Haidong Li , Qingwu Hu

{"title":"The impacts and thresholds detection of 2D/3D urban morphology on the heat island effects at the functional zone in megacity during heatwave event","authors":"Yicong Chen , Weibo Ma , Yamei Shao , Nan Wang , Zhaowu Yu , Haidong Li , Qingwu Hu","doi":"10.1016/j.scs.2024.106002","DOIUrl":"10.1016/j.scs.2024.106002","url":null,"abstract":"<div><div>The contributions of urban morphology (UM) and their key thresholds to urban heat island (UHI) intensity during heatwave events lack clarity. In response to this problem, the impacts and thresholds of UM on summer daytime land surface temperature (LST) in megacity, Shanghai, during the heatwave event were quantified by high-resolution remote sensing and GIS data, including 57 2D/3D UM indices associated with building volumes, vegetation volumes and so on, using stepwise multiple linear regression (SMLR), and XGBoost-based SHAP interpretable methods. The results show that increasing the proportion of tree cover within urban functional zones (UFZs) no longer effectively mitigates UHI; instead, reducing the difference in building and vegetation volume is the key cooling factor related to vegetation. The 3D building-vegetation integrated morphology indices, we proposed, show a fine explanatory on LST, and predominantly govern LST variations in UFZs together with the 2D UM indices (29 %-44 %). Threshold effects are also observed in the impacts of UM during the heatwave event, and the proportion and cohesion of built-up generally has a low impact on LST, when their values are lower than 11.9 % and 98.9 % respectively. Based on these findings, we proposed that the reduction of the volume difference between buildings and vegetation depending on ecological construction of tree species with large canopy may serve as an effective approach to mitigate UHI in UFZs during heatwave events.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"118 ","pages":"Article 106002"},"PeriodicalIF":10.5,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Knowledge co-creation during urban simulation computation to enable broader participation 在城市仿真计算过程中共同创造知识，实现更广泛的参与

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-11-17 DOI: 10.1016/j.scs.2024.105994

Zaiyang Ma , Hengyue Li , Kai Zhang , Jin Wang , Songshan Yue , Yongning Wen , Guonian Lü , Min Chen

{"title":"Knowledge co-creation during urban simulation computation to enable broader participation","authors":"Zaiyang Ma , Hengyue Li , Kai Zhang , Jin Wang , Songshan Yue , Yongning Wen , Guonian Lü , Min Chen","doi":"10.1016/j.scs.2024.105994","DOIUrl":"10.1016/j.scs.2024.105994","url":null,"abstract":"<div><div>Preparing knowledge on urban simulation computation is necessary to help participants build consensus, reduce expertise gaps, and guide participatory sustainable urban planning. Knowledge co-creation is an effective way to prepare the needed knowledge related to urban simulation computation. However, the procedural and operational information that can help instruct the implementation of urban simulation is extensively hidden in the implementation processes of urban simulation in various forms (e.g., dialog records, configuration parameters, and model operations). Difficulties remain in extracting this implicit information and synthesizing the related knowledge. Therefore, a strategy is proposed to support the co-creation of knowledge during the urban simulation computation. In this strategy, the structural knowledge expression methods are first designed to support information extraction and knowledge synthesis. Based on interaction tracking and natural language understanding techniques, the related information can be obtained from simulation computation processes. Using this information, four main types of knowledge can be generated, optimized and visualized to assist collaborative urban simulation practices. This strategy was implemented in an online collaboration prototype system and verified with two sustainable urban case studies involving the simulation of urban noise environments and solar radiation assessment of photovoltaic noise barriers in cities. The results show that the knowledge co-creation can be effectively implemented by using the information extracted from simulation computation processes, which can benefit broader collaboration in urban simulation and sustainable urban planning.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"118 ","pages":"Article 105994"},"PeriodicalIF":10.5,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of carbon tax policy on vehicle pollution control and carbon reduction based on the availability heuristic and system dynamics 基于可用性启发式和系统动力学的碳税政策对汽车污染控制和碳减排的影响

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-11-17 DOI: 10.1016/j.scs.2024.105990

Shuwei Jia, Wanminghao Zhu

{"title":"Effects of carbon tax policy on vehicle pollution control and carbon reduction based on the availability heuristic and system dynamics","authors":"Shuwei Jia, Wanminghao Zhu","doi":"10.1016/j.scs.2024.105990","DOIUrl":"10.1016/j.scs.2024.105990","url":null,"abstract":"<div><div>Emissions from motor vehicles are major contributors to air pollution in China. This article establishes a system dynamics management model for the urban road transport system that aims to reduce emissions and pollution. Further, to broaden the carbon tax's emission-reduction effect, we propose an integration algorithm for vehicle travel decision-making based on the availability heuristic and system dynamics. The results of our study show that (1) in Beijing's road transport system, passenger vehicles and trucks are the main sources of CO<sub>2</sub> and PM<sub>2.5</sub> emissions, respectively. The surge in emissions from trucks is a key contributor to the observed increase in PM<sub>2.5</sub>. (2) The application of carbon tax policy to road transport is subject to substitution, synergy and projection effects. Using heuristics to optimize the carbon tax system can help control taxpayers’ psychological expectations and increase the emission-reduction effect. (3) The principle of taxation limits the effect of carbon taxes. (4) Compared with a standard carbon tax, a heuristic carbon tax can increase the reduction of CO<sub>2</sub> and PM<sub>2.5</sub> emissions by 8.47 % and 8.38 %, respectively. Under the joint green scenario, the degree of pollution loss and the influence on health can be reduced by 20.44 % and 19.14 %, respectively.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"118 ","pages":"Article 105990"},"PeriodicalIF":10.5,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0