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Prof. Ali Cheshmehzangi
University of Nottingham Ningbo China

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0 Urban Design
0 Urbanism
0 sustainable urban development
0 Urban Sustainability

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sustainable urban development
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Short Biography

Professor Ali Cheshmehzangi is Head of the Department of Architecture and Built Environment and Director of the Centre for Sustainable Energy Technologies (CSET), at The University of Nottingham Ningbo, China (UNNC). He is a Full Professor in Architecture and Urban Design at UNNC and a Specially Appointed Professor at Hiroshima University, Japan. He has published 90+ journal papers and seven books. His two recent books are published in 2020, titled ‘Identity of Cities and City of Identities’ (April 2020), and ‘The City in Need’ (June 2020).

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Journal article
Published: 01 July 2021 in Telecom
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UAV path planning for remote sensing aims to find the best-fitted routes to complete a data collection mission. UAVs plan the routes and move through them to remotely collect environmental data from particular target zones by using sensory devices such as cameras. Route planning may utilize machine learning techniques to autonomously find/select cost-effective and/or best-fitted routes and achieve optimized results including: minimized data collection delay, reduced UAV power consumption, decreased flight traversed distance and maximized number of collected data samples. This paper utilizes a reinforcement learning technique (location and energy-aware Q-learning) to plan UAV routes for remote sensing in smart farms. Through this, the UAV avoids heuristically or blindly moving throughout a farm, but this takes the benefits of environment exploration–exploitation to explore the farm and find the shortest and most cost-effective paths into target locations with interesting data samples to collect. According to the simulation results, utilizing the Q-learning technique increases data collection robustness and reduces UAV resource consumption (e.g., power), traversed paths, and remote sensing latency as compared to two well-known benchmarks, IEMF and TBID, especially if the target locations are dense and crowded in a farm.

ACS Style

Saeid Pourroostaei Ardakani; Ali Cheshmehzangi. Reinforcement Learning-Enabled UAV Itinerary Planning for Remote Sensing Applications in Smart Farming. Telecom 2021, 2, 255 -270.

AMA Style

Saeid Pourroostaei Ardakani, Ali Cheshmehzangi. Reinforcement Learning-Enabled UAV Itinerary Planning for Remote Sensing Applications in Smart Farming. Telecom. 2021; 2 (3):255-270.

Chicago/Turabian Style

Saeid Pourroostaei Ardakani; Ali Cheshmehzangi. 2021. "Reinforcement Learning-Enabled UAV Itinerary Planning for Remote Sensing Applications in Smart Farming." Telecom 2, no. 3: 255-270.

Chapter
Published: 27 May 2021 in China's Sustainability Transitions
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Reducing carbon emissions is widely recognised as a foremost driver for healthy people and the planet. This is particularly discussed in correlation with climate change issues and the broader ecological calamity, as well as the sustainable development goals, and health benefits.

ACS Style

Ali Cheshmehzangi; Hengcai Chen. Summarising Key Carbon Reduction Co-benefits. China's Sustainability Transitions 2021, 21 -32.

AMA Style

Ali Cheshmehzangi, Hengcai Chen. Summarising Key Carbon Reduction Co-benefits. China's Sustainability Transitions. 2021; ():21-32.

Chicago/Turabian Style

Ali Cheshmehzangi; Hengcai Chen. 2021. "Summarising Key Carbon Reduction Co-benefits." China's Sustainability Transitions , no. : 21-32.

Chapter
Published: 27 May 2021 in China's Sustainability Transitions
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The previous chapter described the history and prospects of China’s low carbon development. Besides, it discusses China's initiatives at the national or local levels to pursue a low carbon strategy.

ACS Style

Ali Cheshmehzangi; Hengcai Chen. Low Carbon Transitions: Practices and Lessons. China's Sustainability Transitions 2021, 119 -137.

AMA Style

Ali Cheshmehzangi, Hengcai Chen. Low Carbon Transitions: Practices and Lessons. China's Sustainability Transitions. 2021; ():119-137.

Chicago/Turabian Style

Ali Cheshmehzangi; Hengcai Chen. 2021. "Low Carbon Transitions: Practices and Lessons." China's Sustainability Transitions , no. : 119-137.

Chapter
Published: 27 May 2021 in China's Sustainability Transitions
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This book comes soon after China pledges to become a carbon neutral country by 2060. The focus here is on ‘sustainability transitions’, as we explore global movements and China’s position in this progress.

ACS Style

Ali Cheshmehzangi; Hengcai Chen. Sustainable Development and Climate Change. China's Sustainability Transitions 2021, 1 -9.

AMA Style

Ali Cheshmehzangi, Hengcai Chen. Sustainable Development and Climate Change. China's Sustainability Transitions. 2021; ():1-9.

Chicago/Turabian Style

Ali Cheshmehzangi; Hengcai Chen. 2021. "Sustainable Development and Climate Change." China's Sustainability Transitions , no. : 1-9.

Chapter
Published: 27 May 2021 in China's Sustainability Transitions
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Cities provide not only jobs and economic activity but also essential social, environmental, and cultural services, which makes cities particularly vulnerable to climate change. Many related studies on household or urban water supply issues impact building infrastructure, coastal area management, and energy issues.

ACS Style

Ali Cheshmehzangi; Hengcai Chen. Cities and Climate-Resilient Development. China's Sustainability Transitions 2021, 11 -19.

AMA Style

Ali Cheshmehzangi, Hengcai Chen. Cities and Climate-Resilient Development. China's Sustainability Transitions. 2021; ():11-19.

Chicago/Turabian Style

Ali Cheshmehzangi; Hengcai Chen. 2021. "Cities and Climate-Resilient Development." China's Sustainability Transitions , no. : 11-19.

Chapter
Published: 27 May 2021 in China's Sustainability Transitions
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Driven by the global response to climate change, the world is undergoing changes in its economic and social development patterns. As discussed in the previous chapter, the impacts of climate change are quite severe. It remains a question whether the consequences are irreversible or not?

ACS Style

Ali Cheshmehzangi; Hengcai Chen. Low Carbon Transitions: A Global Overview. China's Sustainability Transitions 2021, 33 -52.

AMA Style

Ali Cheshmehzangi, Hengcai Chen. Low Carbon Transitions: A Global Overview. China's Sustainability Transitions. 2021; ():33-52.

Chicago/Turabian Style

Ali Cheshmehzangi; Hengcai Chen. 2021. "Low Carbon Transitions: A Global Overview." China's Sustainability Transitions , no. : 33-52.

Chapter
Published: 27 May 2021 in China's Sustainability Transitions
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In this chapter, we highlight some of the key low carbon strategies. To start with, we emphasise the role of carbon reduction measures in achieving low carbon development. We urge relevant stakeholders to consider energy policy and regulations that suggest carbon reduction practices, such as buildings, communities, cities, etc.

ACS Style

Ali Cheshmehzangi; Hengcai Chen. Learning from Main Low Carbon Strategies. China's Sustainability Transitions 2021, 139 -158.

AMA Style

Ali Cheshmehzangi, Hengcai Chen. Learning from Main Low Carbon Strategies. China's Sustainability Transitions. 2021; ():139-158.

Chicago/Turabian Style

Ali Cheshmehzangi; Hengcai Chen. 2021. "Learning from Main Low Carbon Strategies." China's Sustainability Transitions , no. : 139-158.

Chapter
Published: 27 May 2021 in China's Sustainability Transitions
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In this chapter, we provide an overview of China's low carbon progress in multiple stages. First, we look into China's early exploration before 2005, and then the main years of the 11th and 12th Five-Year Plans (FYPs). We then briefly evaluate the more recent progress of the 13th FYP before exploring the next steps of the 14th FYP, 2030 targets, and the 2060 plan. By exploring these stages, we look into policies and initiatives and progress and actions that have taken place to date. In the later chapters, we provide more details and move towards future directions.

ACS Style

Ali Cheshmehzangi; Hengcai Chen. Overview of China’s Low Carbon Progress: Policies and Initiatives. China's Sustainability Transitions 2021, 103 -117.

AMA Style

Ali Cheshmehzangi, Hengcai Chen. Overview of China’s Low Carbon Progress: Policies and Initiatives. China's Sustainability Transitions. 2021; ():103-117.

Chicago/Turabian Style

Ali Cheshmehzangi; Hengcai Chen. 2021. "Overview of China’s Low Carbon Progress: Policies and Initiatives." China's Sustainability Transitions , no. : 103-117.

Chapter
Published: 27 May 2021 in China's Sustainability Transitions
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In the Post-Paris Era, the participation of cities in climate governance has become one of the trending topics in tackling climate change (Cheshmehzangi,.Energy Procedia 104:146–152, 2016).

ACS Style

Ali Cheshmehzangi; Hengcai Chen. Urban Evolution Under Low Carbon Strategies. China's Sustainability Transitions 2021, 71 -101.

AMA Style

Ali Cheshmehzangi, Hengcai Chen. Urban Evolution Under Low Carbon Strategies. China's Sustainability Transitions. 2021; ():71-101.

Chicago/Turabian Style

Ali Cheshmehzangi; Hengcai Chen. 2021. "Urban Evolution Under Low Carbon Strategies." China's Sustainability Transitions , no. : 71-101.

Chapter
Published: 27 May 2021 in China's Sustainability Transitions
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The available data indicates China is by far the world’s largest emitter of carbon dioxide. This is mainly because of China’s large population and its rapid development and economic growth in recent decades. As China industrialised, its carbon dioxide emissions rose sharply, estimated from 3.1 billion tonnes in 2000 to 8.8 billion tonnes in 2012.

ACS Style

Ali Cheshmehzangi; Hengcai Chen. Decarbonised Race and New Destination in China. China's Sustainability Transitions 2021, 53 -69.

AMA Style

Ali Cheshmehzangi, Hengcai Chen. Decarbonised Race and New Destination in China. China's Sustainability Transitions. 2021; ():53-69.

Chicago/Turabian Style

Ali Cheshmehzangi; Hengcai Chen. 2021. "Decarbonised Race and New Destination in China." China's Sustainability Transitions , no. : 53-69.

Chapter
Published: 27 May 2021 in China's Sustainability Transitions
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As a major carbon emitter and coal power producer, China's net-zero carbon commitment will reshape its economy and contribute to global decarbonisation and climate action.

ACS Style

Ali Cheshmehzangi; Hengcai Chen. Key Suggestions and Steps Ahead for China’s Carbon Neutrality Plan. China's Sustainability Transitions 2021, 189 -206.

AMA Style

Ali Cheshmehzangi, Hengcai Chen. Key Suggestions and Steps Ahead for China’s Carbon Neutrality Plan. China's Sustainability Transitions. 2021; ():189-206.

Chicago/Turabian Style

Ali Cheshmehzangi; Hengcai Chen. 2021. "Key Suggestions and Steps Ahead for China’s Carbon Neutrality Plan." China's Sustainability Transitions , no. : 189-206.

Chapter
Published: 27 May 2021 in China's Sustainability Transitions
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In this chapter, we briefly evaluate China's current status of low carbon development, and specifically by looking into its recent progress. While some of the details of recent progress are already covered in previous chapters, in this chapter we highlight four key areas of ‘energy consumption’, ‘renewable energy’, ‘Energy efficiency (buildings and construction)’, and ‘smart grids’.

ACS Style

Ali Cheshmehzangi; Hengcai Chen. Evaluating China’s Recent Low Carbon Progress. China's Sustainability Transitions 2021, 159 -175.

AMA Style

Ali Cheshmehzangi, Hengcai Chen. Evaluating China’s Recent Low Carbon Progress. China's Sustainability Transitions. 2021; ():159-175.

Chicago/Turabian Style

Ali Cheshmehzangi; Hengcai Chen. 2021. "Evaluating China’s Recent Low Carbon Progress." China's Sustainability Transitions , no. : 159-175.

Chapter
Published: 27 May 2021 in China's Sustainability Transitions
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This chapter highlights some of the key lessons and paradigms for china’s sustainability transition. We explicitly look into low carbon and climate-resilient practices and those that we could see critical for China’s interim and ultimate steps in its pathways towards carbon neutrality. The interim step is regarded as the 2030 targets, and the ultimate step is the 2060 carbon-neutrality plan.

ACS Style

Ali Cheshmehzangi; Hengcai Chen. Lessons and Paradigms to Meet the 2030 Targets and the 2060 Plan. China's Sustainability Transitions 2021, 177 -187.

AMA Style

Ali Cheshmehzangi, Hengcai Chen. Lessons and Paradigms to Meet the 2030 Targets and the 2060 Plan. China's Sustainability Transitions. 2021; ():177-187.

Chicago/Turabian Style

Ali Cheshmehzangi; Hengcai Chen. 2021. "Lessons and Paradigms to Meet the 2030 Targets and the 2060 Plan." China's Sustainability Transitions , no. : 177-187.

Review
Published: 25 May 2021 in Journal of Medical Internet Research
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Background With advances in science and technology, biotechnology is becoming more accessible to people of all demographics. These advances inevitably hold the promise to improve personal and population well-being and welfare substantially. It is paradoxical that while greater access to biotechnology on a population level has many advantages, it may also increase the likelihood and frequency of biodisasters due to accidental or malicious use. Similar to “Disease X” (describing unknown naturally emerging pathogenic diseases with a pandemic potential), we term this unknown risk from biotechnologies “Biodisaster X.” To date, no studies have examined the potential role of information technologies in preventing and mitigating Biodisaster X. Objective This study aimed to explore (1) what Biodisaster X might entail and (2) solutions that use artificial intelligence (AI) and emerging 6G technologies to help monitor and manage Biodisaster X threats. Methods A review of the literature on applying AI and 6G technologies for monitoring and managing biodisasters was conducted on PubMed, using articles published from database inception through to November 16, 2020. Results Our findings show that Biodisaster X has the potential to upend lives and livelihoods and destroy economies, essentially posing a looming risk for civilizations worldwide. To shed light on Biodisaster X threats, we detailed effective AI and 6G-enabled strategies, ranging from natural language processing to deep learning–based image analysis to address issues ranging from early Biodisaster X detection (eg, identification of suspicious behaviors), remote design and development of pharmaceuticals (eg, treatment development), and public health interventions (eg, reactive shelter-at-home mandate enforcement), as well as disaster recovery (eg, sentiment analysis of social media posts to shed light on the public’s feelings and readiness for recovery building). Conclusions Biodisaster X is a looming but avoidable catastrophe. Considering the potential human and economic consequences Biodisaster X could cause, actions that can effectively monitor and manage Biodisaster X threats must be taken promptly and proactively. Rather than solely depending on overstretched professional attention of health experts and government officials, it is perhaps more cost-effective and practical to deploy technology-based solutions to prevent and control Biodisaster X threats. This study discusses what Biodisaster X could entail and emphasizes the importance of monitoring and managing Biodisaster X threats by AI techniques and 6G technologies. Future studies could explore how the convergence of AI and 6G systems may further advance the preparedness for high-impact, less likely events beyond Biodisaster X.

ACS Style

Zhaohui Su; Dean McDonnell; Barry L Bentley; Jiguang He; Feng Shi; Ali Cheshmehzangi; Junaid Ahmad; Peng Jia. Addressing Biodisaster X Threats With Artificial Intelligence and 6G Technologies: Literature Review and Critical Insights. Journal of Medical Internet Research 2021, 23, e26109 .

AMA Style

Zhaohui Su, Dean McDonnell, Barry L Bentley, Jiguang He, Feng Shi, Ali Cheshmehzangi, Junaid Ahmad, Peng Jia. Addressing Biodisaster X Threats With Artificial Intelligence and 6G Technologies: Literature Review and Critical Insights. Journal of Medical Internet Research. 2021; 23 (5):e26109.

Chicago/Turabian Style

Zhaohui Su; Dean McDonnell; Barry L Bentley; Jiguang He; Feng Shi; Ali Cheshmehzangi; Junaid Ahmad; Peng Jia. 2021. "Addressing Biodisaster X Threats With Artificial Intelligence and 6G Technologies: Literature Review and Critical Insights." Journal of Medical Internet Research 23, no. 5: e26109.

Commentary
Published: 20 May 2021 in BMJ Global Health
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Zhaohui Su; Dean McDonnell; Ali Cheshmehzangi; Jaffar Abbas; Xiaoshan Li; Yuyang Cai. The promise and perils of Unit 731 data to advance COVID-19 research. BMJ Global Health 2021, 6, e004772 .

AMA Style

Zhaohui Su, Dean McDonnell, Ali Cheshmehzangi, Jaffar Abbas, Xiaoshan Li, Yuyang Cai. The promise and perils of Unit 731 data to advance COVID-19 research. BMJ Global Health. 2021; 6 (5):e004772.

Chicago/Turabian Style

Zhaohui Su; Dean McDonnell; Ali Cheshmehzangi; Jaffar Abbas; Xiaoshan Li; Yuyang Cai. 2021. "The promise and perils of Unit 731 data to advance COVID-19 research." BMJ Global Health 6, no. 5: e004772.

Journal article
Published: 12 May 2021 in Sustainability
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The COVID-19 pandemic has spread rapidly all over the world, affecting many countries to varying degrees. In this study, an in-depth analysis of the factors influencing the spread of COVID-19 is offered mainly through big data in the European Union (EU) context. In doing so, the data of the first wave of the pandemic are assessed. Afterward, we evaluate the impacts of the COVID-19 spread in specific countries and regions. Based on the existing literature, mobility is recognized as a significant direct factor affecting disease transmission. The same applies to the case of COVID-19. However, compared with the analysis of mobility itself, this paper explores more profound reasons that affect mobility, ranging from policy and economy to geographical and transportation factors. Specifically, this paper studies nine EU countries based on their population density and the degree of impact of the epidemic in the first six months (February to July 2020) of the pandemic. Our study aims to illustrate how policies, economies, and geographical locations (including transportation factors) directly or indirectly affect the spread of the novel coronavirus by applying the SEIR model to analyze all selected countries’ big data. The key findings of this research are: (1) the timeliness of relevant policies and the effectiveness of government implementation indirectly limit the spread of the epidemic by reducing population mobility; (2) a better medical level would contribute to detect, isolate, and treat patients, and help control the epidemic; and (3) the large land borders and developed transportation between countries exacerbate the spread of the COVID-19. The paper contributes to ongoing research on COVID-19 by addressing the above points.

ACS Style

Ali Cheshmehzangi; Maycon Sedrez; Junhang Ren; Dezhou Kong; Yifan Shen; Sinan Bao; Junhao Xu; Zhaohui Su; Ayotunde Dawodu. The Effect of Mobility on the Spread of COVID-19 in Light of Regional Differences in the European Union. Sustainability 2021, 13, 5395 .

AMA Style

Ali Cheshmehzangi, Maycon Sedrez, Junhang Ren, Dezhou Kong, Yifan Shen, Sinan Bao, Junhao Xu, Zhaohui Su, Ayotunde Dawodu. The Effect of Mobility on the Spread of COVID-19 in Light of Regional Differences in the European Union. Sustainability. 2021; 13 (10):5395.

Chicago/Turabian Style

Ali Cheshmehzangi; Maycon Sedrez; Junhang Ren; Dezhou Kong; Yifan Shen; Sinan Bao; Junhao Xu; Zhaohui Su; Ayotunde Dawodu. 2021. "The Effect of Mobility on the Spread of COVID-19 in Light of Regional Differences in the European Union." Sustainability 13, no. 10: 5395.

Journal article
Published: 26 April 2021 in Sustainability
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Urban areas around the world are increasingly facing environmental challenges such as water scarcity, water pollution, and water-related disasters, which demands sustainable design solutions for cities. Efforts to introduce sustainable methods in architectural education are noteworthy since the early 1990s. However, Water Sensitive Design (WSD) has not been fully integrated to architectural education. WSD is an interdisciplinary approach that considers the water cycle as the primary element of design strategies, integrating the site’s ecological and social aspects to structure water management. The main objective of this study is to identify cases introducing WSD in an architecture design studio revealing its pedagogical approaches, comparing and discussing with a WSD-focused design studio. This study adapts on an exploratory and descriptive research, analyzing the literature on the topic of WSD in architectural education and documenting a graduate-level architectural design studio that proposes the development of water-oriented masterplan. The results suggest that WSD, as interdisciplinary method, can be incorporated into the design studio as the topic due to its tangible tools and strategies towards water. It also fits the proposal of a design studio to integrate knowledge from diverse disciplines. This unique study presents a comprehensive WSD introduction in an architectural design case and indicative pedagogical methods, contributing to the development of an approach for future related works.

ACS Style

Maycon Sedrez; Jing Xie; Ali Cheshmehzangi. Integrating Water Sensitive Design in the Architectural Design Studio in China: Challenges and Outcomes. Sustainability 2021, 13, 4853 .

AMA Style

Maycon Sedrez, Jing Xie, Ali Cheshmehzangi. Integrating Water Sensitive Design in the Architectural Design Studio in China: Challenges and Outcomes. Sustainability. 2021; 13 (9):4853.

Chicago/Turabian Style

Maycon Sedrez; Jing Xie; Ali Cheshmehzangi. 2021. "Integrating Water Sensitive Design in the Architectural Design Studio in China: Challenges and Outcomes." Sustainability 13, no. 9: 4853.

Review
Published: 22 April 2021 in Journal of Human Behavior in the Social Environment
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This study provides a detailed analysis of the main reasons why BAME communities are impacted more by the COVID-19 pandemic. The study focuses on matters of public health inequalities, socioeconomic inequalities, and disproportionate poverty in the UK. In doing so, the study analyzes the up-to-date conditions of COVID-19 in the UK against the available governmental data on BAME communities, based on three key areas of occupational risks, household conditions, and poverty rates. Governmental data from 2018, 2019, and 2020 are used to evaluate these areas. The results of the study showed disproportionate impacts of the COVID-19 on BAME and White ethnics in the UK. The impacts also highlighted inequalities such as twice higher poverty in BAME communities than the White population, as well as more cases of overcrowded households, intergenerational living, higher-risk jobs, and long-lasting issues that require further attention. There were also significant socio-economic inequalities that were found in BAME communities with a higher rate of COVID-19 cases. The study provides more evidence that supports existing literature on BAME communities affected by the COVID-19. The reasons for their higher vulnerability are addressed through accurate and up-to-date evidence. Further studies should highlight the role of socio-economic inequalities discussed in this study to help the improvement of public health and relevant institutions that could diminish our inequalities beyond the timeline of COVID-19.

ACS Style

Ali Cheshmehzangi. Vulnerability of the UK’s BAME communities during COVID-19: The review of public health and socio-economic inequalities. Journal of Human Behavior in the Social Environment 2021, 1 -18.

AMA Style

Ali Cheshmehzangi. Vulnerability of the UK’s BAME communities during COVID-19: The review of public health and socio-economic inequalities. Journal of Human Behavior in the Social Environment. 2021; ():1-18.

Chicago/Turabian Style

Ali Cheshmehzangi. 2021. "Vulnerability of the UK’s BAME communities during COVID-19: The review of public health and socio-economic inequalities." Journal of Human Behavior in the Social Environment , no. : 1-18.

Journal article
Published: 19 April 2021 in Remote Sensing
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Information about urban land use is important for urban planning and sustainable development. The emergence of geospatial big data (GBD), increased the availability of remotely sensed (RS) data and the development of new methods for data integration to provide new opportunities for mapping types of urban land use. However, the modes of RS and GBD integration are diverse due to the differences in data, study areas, classifiers, etc. In this context, this study aims to summarize the main methods of data integration and evaluate them via a case study of urban land use mapping in Hangzhou, China. We first categorized the RS and GBD integration methods into decision-level integration (DI) and feature-level integration (FI) and analyzed their main differences by reviewing the existing literature. The two methods were then applied for mapping urban land use types in Hangzhou city, based on urban parcels derived from the OpenStreetMap (OSM) road network, 10 m Sentinel-2A images, and points of interest (POI). The corresponding classification results were validated quantitatively and qualitatively using the same testing dataset. Finally, we illustrated the advantages and disadvantages of both approaches via bibliographic evidence and quantitative analysis. The results showed that: (1) The visual comparison indicates a generally better performance of DI-based classification than FI-based classification; (2) DI-based urban land use mapping is easy to implement, while FI-based land use mapping enables the mixture of features; (3) DI-based and FI-based methods can be used together to improve urban land use mapping, as they have different performances when classifying different types of land use. This study provides an improved understanding of urban land use mapping in terms of the RS and GBD integration strategy.

ACS Style

Jiadi Yin; Ping Fu; Nicholas Hamm; Zhichao Li; Nanshan You; Yingli He; Ali Cheshmehzangi; Jinwei Dong. Decision-Level and Feature-Level Integration of Remote Sensing and Geospatial Big Data for Urban Land Use Mapping. Remote Sensing 2021, 13, 1579 .

AMA Style

Jiadi Yin, Ping Fu, Nicholas Hamm, Zhichao Li, Nanshan You, Yingli He, Ali Cheshmehzangi, Jinwei Dong. Decision-Level and Feature-Level Integration of Remote Sensing and Geospatial Big Data for Urban Land Use Mapping. Remote Sensing. 2021; 13 (8):1579.

Chicago/Turabian Style

Jiadi Yin; Ping Fu; Nicholas Hamm; Zhichao Li; Nanshan You; Yingli He; Ali Cheshmehzangi; Jinwei Dong. 2021. "Decision-Level and Feature-Level Integration of Remote Sensing and Geospatial Big Data for Urban Land Use Mapping." Remote Sensing 13, no. 8: 1579.

Journal article
Published: 17 April 2021 in Brain, Behavior, & Immunity - Health
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Health campaign interventions, particularly those tailored to the target audience’s needs and preferences, can cost-effectively change people’s attitudes and behaviors towards better health decision-making. However, there is limited research on how to best tailor seasonal influenza vaccination campaigns for young adults. Vaccination is vital in protecting young adults and their social circles (vulnerable populations like older adults) from the influenza virus and critical in shaping these emerging adults’ vaccination habits in the long run. However, amid the prevalence of easily-accessible, attention-grabbing, and often malicious false and misinformation (e.g., COVID-19 vaccine conspiracy theories), it may be more challenging to develop vaccination messages that resonate with young adults well enough to attract their attention. Therefore, to bridge the research gap, this study examines young adults’ preferences for seasonal influenza vaccination campaigns to inform effective intervention design and development. Qualitative survey questions were developed to gauge young adults’ preferences for seasonal influenza vaccination campaigns. A total of 545 young adults (73.9% female, Mage ​= ​19.89, SD ​= ​1.44) from a large University offered complete answers to a cross-sectional online survey. Braun and Clarke’s thematic analysis procedures were adopted to guide the data analysis process. Thematic analysis revealed that young adults prefer seasonal influenza vaccination campaigns that rely on (1) quality and balanced information from (2) credible information sources, positioned in the (3) relevant health contexts, (4) emphasize actionable messages, and incorporate (5) persuasive campaign design. Interestingly, while many participants underscored the importance of fear-appeal messages in persuading them to take health actions, some young adults also suggested avoiding fear campaigns due to discomfort. Insights of the study can inform seasonal influenza vaccination design and development, and have the potential to shed light on vaccination messaging in other vaccine contexts, such as COVID-19 vaccines. Results also underscore the need for health experts and government officials to adopt a more nuanced approach when selecting persuasive campaign appeals. While some young adults may resonate well with fear appeals, others may not. Future research could examine the underlying mechanisms that drive young adults’ preference for vaccination campaign intervention to enrich the literature further.

ACS Style

Zhaohui Su; Dean McDonnell; Jun Wen; Ali Cheshmehzangi; Junaid Ahmad; Edmund Goh; Xiaoshan Li; Sabina Šegalo; Michael Mackert; Yu-Tao Xiang; Peiyu Wang. Young adults’ preferences for influenza vaccination campaign messages: Implications for COVID-19 vaccine intervention design and development. Brain, Behavior, & Immunity - Health 2021, 14, 100261 .

AMA Style

Zhaohui Su, Dean McDonnell, Jun Wen, Ali Cheshmehzangi, Junaid Ahmad, Edmund Goh, Xiaoshan Li, Sabina Šegalo, Michael Mackert, Yu-Tao Xiang, Peiyu Wang. Young adults’ preferences for influenza vaccination campaign messages: Implications for COVID-19 vaccine intervention design and development. Brain, Behavior, & Immunity - Health. 2021; 14 ():100261.

Chicago/Turabian Style

Zhaohui Su; Dean McDonnell; Jun Wen; Ali Cheshmehzangi; Junaid Ahmad; Edmund Goh; Xiaoshan Li; Sabina Šegalo; Michael Mackert; Yu-Tao Xiang; Peiyu Wang. 2021. "Young adults’ preferences for influenza vaccination campaign messages: Implications for COVID-19 vaccine intervention design and development." Brain, Behavior, & Immunity - Health 14, no. : 100261.