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Background: Rapid advances in mobile technologies and applications and the continued growth in digital network coverage have the potential to transform data collection in low- and middle-income countries. A common perception is that digital data collection (DDC) is faster and quickly adaptable., Objective: The objective of this study was to test whether DDC is faster and more adaptable in a roadside environment. We conducted a reliability study comparing digital versus paper data collection in 3 cities in Ghana, Vietnam, and Indonesia observing road safety risk factors in real time., Methods: Roadside observation of helmet use among motorcycle passengers, seat belt use among 4-wheeler passengers, and speeding was conducted in Accra, Ghana; Ho Chi Minh City (HCMC), Vietnam; and Bandung, Indonesia. Two independent data collection teams were deployed to the same sites on the same dates and times, one using a paper-based data collection tool and the other using a digital tool. All research assistants were trained on paper-based data collection and DDC. A head-to-head analysis was conducted to compare the volume of observations, as well as the prevalence of each risk factor. Correlations (r) for continuous variables and kappa for categorical variables are reported with their level of statistical significance., Results: In Accra, there were 119 observation periods (90-min each) identical by date, time, and location during the helmet and seat belt use risk factor data collection and 118 identical periods observing speeding prevalence. In Bandung, there were 150 observation periods common to digital and paper data collection methods, whereas in HCMC, there were 77 matching observation periods for helmet use, 82 for seat belt use, and 84 for speeding. Data collectors using paper tools were more productive than their DDC counterparts during the study. The highest mean volume per session was recorded for speeding, with Bandung recording over 1000 vehicles on paper (paper: mean 1092 [SD 435]; digital: mean 807 [SD 261]); whereas the lowest volume per session was from HCMC for seat belts (paper: mean 52 [SD 28]; digital: mean 62 [SD 30]). Accra and Bandung showed good-to-high correlation for all 3 risk factors (r=0.52 to 0.96), with higher reliability in speeding and helmet use over seat belt use; HCMC showed high reliability for speeding (r=0.99) but lower reliability for helmet and seat belt use (r=0.08 to 0.32). The reported prevalence of risk factors was comparable in all cities regardless of the data collection method., Conclusions: DDC was convenient and reliable during roadside observational data collection. There was some site-related variability in implementing DDC methods, and generally the productivity was higher using the more familiar paper-based method. Even with low correlations between digital and paper data collection methods, the overall reported population prevalence was similar for all risk factors., (©Amber Mehmood, Niloufer Taber, Abdulgafoor M Bachani, Shivam Gupta, Nino Paichadze, Adnan A Hyder. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 28.05.2019.)

The recovery and utilization of recovered paper have increased over past decades all over the world due to economic, environmental, and social issues. However, it is well known that an extended recovered paper collection is detrimental to its quality, either by the exploitation of lower quality sources such as households, or the spreading of commingled systems instead of selective collection systems. The influence of these two factors was assessed by analyzing the quality of different recovered paper grades used as raw material in a mill located in Madrid (Spain) producing newsprint and light weight coated paper from recovered paper. Part 1 of the paper deals with the impact of increased collection rates on the quality of recovered paper and Part 2 with the use of commingled collection systems. Results of Part 1 show that increased collection rates have a large impact on the quality of the recovered paper. The quality, measured as total unusable material and moisture contents, had deteriorated very rapidly in only 4 years (2005-2008) as a consequence of increased collection rates. Collection rates increased in Spain from 58.5% to 68.6% during this period, resulting in more than 50% increase of total unusable material and 25% of moisture content. The downgrading of the quality of recovered paper is one of the major threats for extending the current limits of paper recycling. Therefore, future challenge is to increase its availability but maintaining its quality., (Copyright © 2011 Elsevier Ltd. All rights reserved.)

In the past decade, the use of multiple-criteria decision analysis technology has dramatically increased in solving complex real-world problems in solid waste management. Likewise, many municipalities have paid attention to finding feasible solutions for disposal and recycling of solid waste due to the increase in waste generation rates worldwide. Therefore, policy-makers must determine which recycling program to be implemented among various recycling program options. In this paper, a new approach to select a recycling program for recovered paper and pulp recyclables was proposed using analytic hierarchy process-Technique for Order Preference by Similarity to Ideal Solution (AHP-TOPSIS) techniques. A set of essential parameters of the decision-making system were identified, and a numerical case to illustrate the procedure was conducted. Our findings show very encouraging results to use a combined model between AHP and TOPSIS to select a suitable recycling program for different recovered recyclable materials.

China established a self-organized and market-driven recycling system, which was dominated by the informal sectors. In recent years, the amount of domestically-recycled waste paper grew slower than expectation in China, which may be resulted from a decline in economic sustainability of current recycling system. For understanding the waste paper recycling system in most cities in China, the economic mechanism remains unclear and the city-level data is extremely insufficient. In this work, an index of recycling sustainability (IRS, benefit divided by cost) is analyzed with a resolution of 1 km 2 grid in Beijing City, by adopting value chain and GIS methodology. Five degrees of IRS are defined, from high-degree (IRS > 1.10) to low-degree (IRS < 0.95). Different stakeholders in the informal waste paper recycling system were interviewed to fill the data gap. Results show that: (1) from 2015 to 2018, the informal recycling of waste paper accounted for approximate 80% in Beijing; (2) the number of informal recyclables distribution sites decreased from 27 to 11, and their average distance to the city-center rose from 27.5 km to 40.9 km; (3) in 2015 and 2018, the grids with high-degree IRS accounted for 99.5% and 89.2%, respectively, indicating a sustainable waste paper recycling industry in Beijing; and (4) according to the scenario analysis, if the operating cost rises by 30%, the grids with low-degree IRS accounts for 98.5%, indicating a nontrivial challenges when the recycling cost keeps increasing in the future. Policy recommendations are put forward for a more sustainable paper waste recycling system in China., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Real-time crash potential prediction could provide valuable information for Active Traffic Management Systems. Fixed infrastructure-based vehicle detection devices were widely used in the previous studies to obtain different types of data for crash potential prediction. However, it was difficult to obtain data in large range through these devices due to the costs of installation and maintenance. This paper introduced a novel connected vehicle (CV) emulated data for real-time crash potential prediction. Different from the fixed devices' data, CV emulated data have high flexibility and can be obtained continuously with relatively low cost. Crash and CV emulated data were collected from two urban arterials in Orlando, USA. Crash data were archived by the Signal for Analytics system (S4A), while the CV emulated data were obtained through the data collection API with a high frequency. Different data cleaning and preparation techniques were implemented, while various speed-related variables were generated from the CV emulated data. A Long Short-term Memory (LSTM) neural network was trained to predict the crash potential in the next 5-10 min. The results from the model illustrated the feasibility of using a novel CV emulated data to predict real-time crash potential. The average and 50th percentile speed were the two most important variables for the crash potential prediction. In addition, the proposed LSTM outperformed Bayesian logistics regression and XGBoost in terms of sensitivity, Area under Curve (AUC), and false alarm rate. With the rapid development of the connected vehicle systems, the results from this paper can be extended to other types of vehicles and data, which can significantly enhance traffic safety., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

The potential of smart cities in remediating environmental problems in general and waste management, in particular, is an important question that needs to be investigated in academic research. Built on an integrative review of the literature, this study offers insights into the potential of smart cities and connected communities in facilitating waste management efforts. Shortcomings of existing waste management practices are highlighted and a conceptual framework for a centralized waste management system is proposed, where three interconnected elements are discussed: (1) an infrastructure for proper collection of product lifecycle data to facilitate full visibility throughout the entire lifespan of a product, (2) a set of new business models relied on product lifecycle data to prevent waste generation, and (3) an intelligent sensor-based infrastructure for proper upstream waste separation and on-time collection. The proposed framework highlights the value of product lifecycle data in reducing waste and enhancing waste recovery and the need for connecting waste management practices to the whole product life-cycle. An example of the use of tracking and data sharing technologies for investigating the waste management issues has been discussed. Finally, the success factors for implementing the proposed framework and some thoughts on future research directions have been discussed., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Haze pollution has drawn lots of public concern due to its potential damages to human health. Strategic interaction of environmental regulation among local governments may lead to a race to the bottom and hinder air quality improvement. Still, current empirical evidence is scarce, especially from developing countries. Based on province-level panel data from 2004 to 2015, the paper employs a dynamic fixed effect spatial Durbin model to identify interactive patterns of environmental regulation and then investigate its environmental impact. Empirical results indicate that regional differences are observed in environmental regulation and haze pollution, and high-high and low-low clusters dominate the spatial pattern. Interactive patterns of economically similar provinces are dominated by strategic substitution, whereas provinces sharing common borders or belonging to the same region are dominated by strategic complementation. Further, both race to the bottom and race to the top effect are discovered in the asymmetric test. The reaction coefficient values are much more extensive when competitors implement laxer policies, indicating a more significant racing trend to the bottom. Overall, after controlling for the spillover effect and hysteresis effect of haze pollution, the strategic interaction of environmental regulation among provinces is not conducive to improve air quality. The consequence might be correlated with low environmental standards, weak regulation enforcement, and the "free-ride" motive in China. These findings will be of great significance for optimizing local government behavior and improving air quality., (© 2021. The Author(s), under exclusive licence to Springer Nature B.V.)

Environmental protection and innovation performance are key issues that affect the sustainable development and value growth of cities. Using data of 272 prefecture-level cities during 2002-2016 and 2,169 listed companies, and the air ventilation coefficient and government environmental regulations, as the instrumental variables for PM 2.5 concentrations, this paper applies two-stage OLS (2SLS) to investigate how air pollution affects China's technological innovation and its realization mechanism. The results indicate that the rise in air pollution significantly inhibits the technological innovation level of regions as a whole as well as individual enterprises. When considering the spatial effect of the spread of PM 2.5 concentrations, due to positive spillover effects on innovation activities, the spread of air pollution has negative impacts on technological innovation activities in surrounding cities. Human capital and labour costs are important channels through which air pollution influences China's technological innovation. The implementation of pilot carbon trading policies can effectively reduce air pollution and then contribute to the achievement of the goals of the green growth strategy., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The interaction between green finance and other factors, such as ecological environment, has been a research hotspot nowadays. Especially, the reasonable guiding of capital into energy conservation and environmental protection industries would greatly affect those factors, so as to the relation between them. This paper aimed to analyze the relationships between green finance, technological progress, and ecological performance quantitatively. The entropy method was used to respectively construct the system of index for green finance and technological progress, and index for ecological performance was measured by the super-SBM model. The panel vector autoregressive (PVAR) model was selected to empirically analyze dynamic relationships based on datasets from 30 provinces in China during 2008-2019 period. The results told that (1) from 2008 to 2019, China's overall level of green finance, technological progress and ecological performance increased to varying degrees. Spatially, the areas with high-developed green finance greatly coincided with those such as large cities or the eastern coast that had good financial development. The distribution of technological progress index were similar, except some underdeveloped areas with relatively advanced scientific research institutes. The ecological performance, however, was high in the South and low in the north. (2) In the lag for 3 years, the influence of green finance on ecological performance in different regions was all positive for that all the coefficient symbols that passed the significance test were above 0, while that on technological progress was negative first and then positive. And the effects of technological progress on ecological performance were positive in ecological regions and negative in low ecological regions (0.0893 and -0.1211 in the case of three-stage lag respectively). (3) The contribution of green finance to ecological performance was high according to the results of variance decomposition, maintained at about 30%, and that of technological progress increased year by year (from 0.000 to 0.039). Therefore, we proposed to strengthen the development of green finance in underdeveloped regions. The emphasis should be laid on the researches and applications of green technology, the formulation of financing policies in innovation compensation and the establishment of a dynamic monitoring system for the ecological environment., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The new summer index (SSI) which was established to determine climate comfort was classified according to the index. Climatic comfort areas will increase and thus raising the quality of living in areas. The temperature values felt in the study were calculated with the SSI formula, and then the maps of the study area were classified. The study area was the Hayal Park and its surroundings in the Toros Quarter of Cukurova District, which is surrounded by multi-story and dense buildings in the north of Adana. Although the vertical construction is very high, it is richer in terms of green areas compared to other large central districts. Cukurova, which is one of the largest districts of Adana (according to population), has Seyhan dam lake in the north and Seyhan district in the south. The study area is on the border of Seyhan district and is adjacent to Yüreğir and Sarıçam districts. With the portable Smart SENSOR AS 847 measuring device, temperature and relative humidity were measured at 1.5 m above the ground on Tuesday, August 20 at 07.00, at 14.00, and 21.00. Bioclimatic comfort areas were determined by measuring temperature and relative humidity at 25 points with different textures in the study area. In this study, measured instantaneous temperature (°C) and relative humidity (%) data were transferred to GIS medium by ArcGIS 10.6 program and then modeled with the Kriging method, which is one of the interpolation methods, and temperature and relative humidity maps were created. The temperature map created in degrees Celsius (°C) by the Kriging method and was converted to Fahrenheit degrees (°F) in the Raster Calculator. The reason for this change is that SSI is calculated with the formula Fahrenheit (°F). These maps were then calculated on the Raster Calculator using the SSI formula, and sensed temperature values were obtained The SSI, which normally has 8 classes, has 3 classes in the study area. These classes are 83 ≤ SSI < 91 slightly hot, 91 ≤ SSI < 100 hot, and 100 ≤ SSI < 112 very hot. When we look at the maps, the places outside of Hayal Park are in the hot class at 07.00 in the morning, and we can see that the green spaces have a positive effect on the bioclimatic comfort areas. The small area is in a very hot class. When we look at 14.00 h, it is a totally hot class. Normally, the temperature is the highest of these times and also coincides with the multi-story buildings in the study area; asphalt and concrete areas increased the temperature. As a result, there is a very hot air in the study area. It was determined that the maps identified non-comfortable areas. Since urban form and settlement affect climate comfort values, the urban plan should be revised, and the area should be brought to the bioclimatic comfort value range. For reducing the effect of temperature in the working area and creating comfortable areas is increasing the density of green areas compared to asphalt and concrete areas. Considering that the Cukurova district will grow further, urban planning should be done very well to reach the comfort range in the following settlements., (© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Very few studies exist in rationalizing comprehensively the relationship between market integration and green economic growth in China. This paper tries to answer the question whether and how market integration influences regional green economic growth in China. Based on the panel data of 285 city-level regions from year 2004 to 2018 in China, this paper develops explanatory mechanism and discusses the influence theoretically and empirically. To advance the analysis, we construct market integration indicator through relative price variance method based on commodity retail price index and employ the Malmquist-Luenberger (ML) productivity index and DEA-SBM (data envelopment analysis-slacks-based measure) model to evaluate green total factor productivity (GTFP) as indicator for green economic growth. Our empirical findings are: (1) Apparent regional imbalance exists in both the development of market integration and green growth and gaps are expanding from year 2004 to 2018. (2) Market integration promotes regional green growth significantly. (3) Mechanism analysis illustrates that market integration fosters green growth through economies of scale effect, composition effect and spillover effect, respectively. (4) Heterogeneous analysis suggests that the influence from market integration on green growth varies depending on region's difference in traffic situation and in overall development level., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Campaign-style environmental implementation (CEI) is widely exerted in environmental protection, while its benefits and costs are controversial. We take advantage of the Central Environmental Protection Inspection (CEPI) System-a latest and distinguished form of CEI launched by China in 2016, as a quasi-natural experiment, to compare the benefits and costs of CEI based on water pollution effect estimates. Our results based on the annual panel data from 500 cities during 2009-2018 show that CEPI significantly reduced water pollution by an average of 20.7%. Further cost-benefit analysis based on the estimates of water pollution reduction shows that the potential health benefits of mortality and morbidity reduction resulting from CEPI are at least $12.26 billion, without bearing additional economic costs. We also explore why CEPI is cost-effective and find that CEPI reduces water pollution and becomes cost-effective mainly through deterring local officials, punishing polluting enterprises, and increasing public participation in environmental governance., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Free-trade zones are highlands of regional development that have a radiating effect on surrounding cities. This paper uses Yangtze River Delta Urban Agglomeration (YRDUA) data from 2003 to 2018, to examine the impact of the China (Shanghai) pilot free-trade zone (SPFTZ) on green total factor productivity (GTFP) in the YRDUA. It uses the regression discontinuity (RD) method and analyzes the influence mechanism with the help of the mediating effect model. The paper presents the following major findings. The establishment of the SPFTZ significantly promoted GTFP in the YRDUA, with technological progress being the main driving force. An analysis using the mediating effect model found that financial efficiency and industrial structure upgrading play a complete mediating role in GTFP growth in the YRDUA. Therefore, the SPFTZ should make use of its policy advantages, take full advantage of the effect of the green growth pole, and promote green mutual development with the YRDUA., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Labor agglomeration with heterogeneous skills has different effects on urban air pollution. Based on the panel data of 263 prefecture level cities in China from 2006 to 2019, this paper constructs a Spatial Durbin Model to explore the impact of skill heterogeneous labor agglomeration and the interaction between skill heterogeneous labor agglomeration on urban air pollution. The results show that there is a positive U-shaped relationship between high-skilled labor agglomeration, low-skilled labor agglomeration, and urban air pollution. From the perspective of restraining urban air pollution, high-skilled labor agglomeration is stronger than low-skilled labor agglomeration. Under the influence of high skilled labor agglomeration, the inhibitory effect of low-skilled labor agglomeration on urban air pollution is enhanced. High-skilled labor agglomeration and low-skilled labor agglomeration reduce the degree of urban air pollution by promoting the improvement of urban innovation level. Based on this, this paper puts forward some policy suggestions, such as further promoting urban labor agglomeration, formulating reasonable urban population management policies, strengthening labor exchange and learning, and carrying out labor knowledge and skills training., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Whether high-speed rail (HSR) can promote the coordination between the economy and environment is a critical issue that needs to be investigated. We used balanced panel data of 281 prefecture-level or above cities in China from 2005 to 2017 to consider the opening of HSR as a quasi-natural experiment. We integrated the difference-in-differences (DID) model, the spatial difference-in-differences (SDID) model, and social network analysis (SNA) to empirically investigate the impact of HSR on urban environmental efficiency (UEE). The results showed that HSR significantly improved UEE by 4.6% annually during the study period, although the effect of HSR on UEE exhibited a time lag and varied dramatically in different cities. An analysis of the mechanism showed that the effect of technological innovation and the structural effect brought by the opening of HSR were the main contributors to the improved UEE. Further analysis showed that HSR service centrality also significantly improved UEE and HSR opening and HSR service centrality both had positive spatial spillover effects on the UEE of neighboring cities. Several policy implications are proposed accordingly to make full use of the advantages of HSR to improve UEE for China., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Urban environmental management is an effective tool which aims at urban development inline with environmental, social and economic values. The present study aims to provide an environmental management model of Bandar Abbas with an emphasis on ecosystem resilience. The research has been conducted in several steps, the first of which includes the assessment and analysis of resilience of Bandar Abbas city in terms of environmental dimensions and components based on the selection of environmental indicators and components in accordance with the opinions of urban issues experts and access to the available data and information resources, estimation and evaluation of the resilience status of indicators and components of the city. The second step presents the regression equation of resilience under the influence of environmental indicators and components. Also, the third step provides a strategy for the resilience, given the frequency of strategies ranking by the experts and the current environmental situation of Bandar Abbas. The results of the overall resilience assessment indicated that Bandar Abbas is of favorable resilience in terms of the climate, water and soil, vegetation, water, air, water quality and air quality indicators and components, while being of unfavorable resilience situation in terms of the institutional-functional index, citizens' culture and awareness, waste, sewage and trash management. In general, the environmental resilience situation of Bandar Abbas city was found to be favorable with an estimated value of 3.29 and in a good situation against environmental crises. Finally, an environmental management model has been presented along with the effective strategies from the perspective of Urban Issues experts to improve the resilience of Bandar Abbas city., (© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

This paper introduces a hybrid governance-referring to situations where state and non-state actors collectively provide key services-perspective to disaster management. It contends that hybridity is often the norm rather than the exception in disaster management, particularly in developing countries where the state is frequently weak and may be unable or unwilling to supply essential services. In these instances, risks are addressed by state and non-state entities, ranging from citizens and non-governmental organisations to customary authorities. Given their important role in risk reduction, the disruption of hybrid processes by attempting to bring them within the remit of the state may create rather than diminish risk. To make this argument, the paper first outlines the key tenants of hybridity and their applicability to disasters before illustrating hybridity through three case studies of hybrid risk management in three cities in Africa: Freetown, Sierra Leone; Monrovia, Liberia; and Dar es Salaam, Tanzania., (© 2021 The Authors Disasters © 2021 ODI.)

Regional density is a useful tool for analyzing regional spatial structure as well as a good starting point for analyzing regional CO2 emissions per capita. This paper empirically analyzes the relationship between regional density and per capita CO 2 emissions in China's prefecture-level administrative regions. We improve the CO 2 emission measurement method for prefecture-level administrative regions and estimate the per capita CO 2 emissions of 252 prefectural-level cities in China from 2003 to 2013. Using panel fixed effect model regression, and taking the terrain roughness index as an instrumental variable to solve endogeneity, we find that the relationship between regional density and per capita CO 2 emissions presents in an inverted U-shape, per capita CO 2 emissions first increase with the increase of regional density, and after reaching the turning point, it decreases with regional density. In a mechanism test, analyzing the interaction terms between regional density and industrial structure, and regional density and urbanization level respectively. We found that industrial structure and urbanization are important mechanisms for regional density to affect CO 2 emissions. In order to reduce per capita CO 2 emissions, we propose corresponding policy implications for the regions in different positions of the "U" curve., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study explores toxic stress and youth disconnection from work and school using data from the Detroit Jobs for Michigan's Graduates (JMG) program. A secondary cross-sectional analysis was conducted using a program census of 1934 youth participating in JMG between 2014 and 2019. Youth with criminal justice contact, parenting responsibilities, and toxic stress barriers showed the greatest disparity in graduating or become employed following participation in the JMG program. Youth without toxic stress-aligned barriers were 1.87 times the odds more likely of successful program outcomes when controlling for program enrollment year, program type, Detroit residency, gender, and age. Toxic stress is associated with disconnection from education and employment before and after participation in the JMG program. This indicates that expanding trauma-informed systems and community approaches in youth-serving programs can play a role in mitigating the impact of toxic stress exposure on connection to opportunity for Detroit youth., (© 2021 Wiley Periodicals LLC.)

The ongoing COVID-19 pandemic is a stark reminder of the devastating consequences of pathogen spillover from wildlife to human hosts, particularly in densely populated urban centers. Prevention of future zoonotic disease is contingent on informed surveillance for known and novel threats across diverse human-wildlife interfaces. Cities are a key venue for potential spillover events because of the presence of zoonotic pathogens transmitted by hosts and vectors living in close proximity to dense human settlements. Effectively identifying and managing zoonotic hazards requires understanding the socio-ecological processes driving hazard distribution and pathogen prevalence in dynamic and heterogeneous urban landscapes. Despite increasing awareness of the human health impacts of zoonotic hazards, the integration of an eco-epidemiological perspective into public health management plans remains limited. Here we discuss how landscape patterns, abiotic conditions, and biotic interactions influence zoonotic hazards across highly urbanized cities (HUCs) in temperate climates to promote their efficient and effective management by a multi-sectoral coalition of public health stakeholders. We describe how to interpret both direct and indirect ecological processes, incorporate spatial scale, and evaluate networks of connectivity specific to different zoonotic hazards to promote biologically-informed and targeted decision-making. Using New York City, USA as a case study, we identify major zoonotic threats, apply knowledge of relevant ecological factors, and highlight opportunities and challenges for research and intervention. We aim to broaden the toolbox of urban public health stakeholders by providing ecologically-informed, practical guidance for the evaluation and management of zoonotic hazards., (© 2021 John Wiley & Sons Ltd.)

Management of economic growth targets is a universal measure employed by worldwide governments for macroeconomic regulation. This paper aims to empirically investigate the impact of economic growth targets set by governments of prefecture-level cities on the environmental regulation intensity. We extracted panel data on annual economic growth targets and environmental regulation indicators from the government work reports (2009-2016) of 284 China's prefecture-level cities. The study concludes that an increase in economic growth target significantly weakens the intensity of environmental regulation. The conclusion still holds true after robustness tests, including changing measurement variables, regression samples, and conducting endogenous tests. The underlying reason for the inhibitory effect may be that in order to achieve economic growth targets, local governments prefer less stringent environmental regulations. They subsequently expand outputs in the short term by increasing the proportion of secondary industry in GDP, land transfer area, and fixed asset investment. Further research in this paper also finds that only cities with low economic development levels and low openness to the outside world experience the negative effect of a local government's annual economic growth target on environmental regulation intensity., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Paratransit modes dominate the public transportation industry in the majority of developing countries, especially those in Sub-Saharan Africa. The number of these modes has increased rapidly over the years. Authorities have not yet been able to provide a better alternative for passengers, whose demand is ever-growing. In this research, the main modes of public transport in a Sub-Saharan African city, Kampala, have been studied. Here we used multi-criteria decision-making methods to find out which among the four major public transport modes in Kampala, Uganda, are best from a transportation operator's perspective. The evaluation of alternatives was conducted using Analytic Network Process (ANP) and Elimination Et Choice Translating Reality (ELECTRE III) methods. Both the ANP and the ELECTRE III analysis results demonstrate that alternative "Coaster" is the most appropriate alternative from a public transport operator's point of view. A sensitivity analysis consisting of four different scenarios was considered in the changing of weighting percentages (for benefit, cost, and risk clusters) in the ANP and the ELECTRE III analyses, to show the robustness of the ranking results. According to the sensitivity analysis results, there was no change in the final ranking. The findings of this paper are crucial to policymakers within the transportation sectors of developing countries. Integr Environ Assess Manag 2022;18:25-38. © 2021 SETAC., (© 2021 SETAC.)

With the development of urbanization, artificial intelligence, communication technology, and the Internet of Things, cities have evolved a new ecology from traditional city structures, that is, smart city. Combining 5G and big data, the applications of smart cities have been extended to every aspect of residents' lives. Based on the popularization of communication equipment and sensors, the great improvement in data transmission and processing technology, the production efficiency in medical field, industrial field, and security field has been improved. This chapter introduces the current research related to smart cities, including its architecture, technologies, and equipment involved. Then it discussed the challenges and opportunities of explainable artificial intelligence (XAI), which is the next important development direction of AI, especially in the medical field, where patients and medical personnel have non-negligible needs for the interpretability of AI models. Then, taking COVID-19 as an example, it discussed how smart cities play a role during virus infection and introduced the specific applications designed so far. Finally, it discussed the shortcomings of the current situation and the aspects that can be improved in the future., (© 2022. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.)

The driving pattern of three-wheeled auto-rickshaws is governed by commuter's demands on certain fixed roads that offer flexible mobility solutions in a mid-size city. This flexibility creates unique driving patterns, frequent stop-and-go conditions, frequent acceleration, braking, and excessive idling, which affect emission rates. Existing emission testing regulation based on the driving cycle does not represent real-world conditions. In this paper, the real-world driving cycle of three-wheeled auto-rickshaw has been developed to provide realistic CO, HC, and NO X pollutants and see the effect of introducing modal shift of electric auto-rickshaw to reduce emission for India. Two policy scenarios were evaluated (1) with a 5% modal shift to electric auto-rickshaw, and (2) without modal shift. The results indicate that with a 5% shift to electric auto-rickshaw, by 2030, emissions will decrease by 6.30% compared to the baseline scenario. Further, by 2030, the projected CO emission would be 1,696,670 ton/year, and HC and NO X emissions would be 2,067,371 ton/year. Results can be useful for policy interventions towards cleaner fuel and the aggressive adoption for reducing pollution from auto-rickshaw., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Research has made clear that neighbourhood conditions affect racial inequality. We examine how living in minority neighbourhoods affects ease of access to conventional banks versus alternative financial institutions (AFIs) such as check cashers and payday lenders, which some have called predatory. Based on more than 6 million queries, we compute the difference in the time required to walk, drive or take public transport to the nearest bank versus AFI from the middle of every block in each of 19 of the largest cities in the United States. The results suggest that race is strikingly more important than class: even after numerous conditions are accounted for, the AFI is more often closer than the bank in low-poverty racial/ethnic minority neighbourhoods than in high-poverty white ones. Results are driven not by the absence of banks but by the prevalence of AFIs in minority areas. Gaps appear too large to reflect simple differences in preferences., (© 2021. The Author(s), under exclusive licence to Springer Nature Limited.)

To explore the relations between the number of accident deaths (NCD) and various factors in construction safety, a multiple linear regression model was established, based on the panel data of economy, construction labor, and the number of accident deaths in 31 provinces (regions) of China from 2009 to 2018. The results show that the average total profits and taxes (TPAT), and the death rate of ten thousand people (DR) are positively correlated with NCD, while the labor productivity (LP) is negatively correlated with it. Under the condition that other factors remain unchanged, NCD increases by 0.02 per a hundred million CNY. However, if DR increases by one ten thousand, NCD will increase by 8.66 on average. On the contrary, when LP increases by a hundred million CNY per ten thousand people, NCD decreases by 0.19. The model also predicts NCD in different provinces and cities from 2019 to 2020 with the method of quadratic exponential smoothing. As well, practice results show that the model is effective and practical., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper examines a causal relationship between the opening of a city's subway system and its air quality by exploiting daily data on prefecture-level cities in China from 2000 to 2012. Using multi-period difference in differences (DID) method, we find that air quality can be significantly improved following a subway system opening. Robustness tests support the fundamental empirical results. Heterogeneity analysis shows that cities in the eastern and western regions and cities with higher GDP or cities with larger population experience greater and more significant reduction in pollution. We further find that the air pollution continues to decrease with the extension and prolonged operating period of a subway system. Mechanism analysis shows that the resulted air pollution index (API) reduction is due to the substitution effect of taxi., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Urban governance is an important cornerstone in the modernization of a national governance system. The establishment of smart cities driven by digitalization will be a vital way to promote economic green and sustainable growth. By using the data of 274 prefecture-level cities in China from 2004 to 2017, we study the impact of smart city policy on economic green growth and the underlying mechanism of the impact. It is shown that the establishment of smart cities has significantly promoted the green growth of China's economy. This conclusion is further confirmed by using exogenous geographic data as instrumental variables and robustness tests, such as the quasi-experimental method of Difference in Difference with Propensity Score Matching (PAM-DID). The mechanism test shows that promoting economic growth, reducing per unit GDP energy consumption, and lowering waste emissions represent three ways for smart cities to promote green economic growth. The heterogeneity test shows that smart city policy has an obvious promotional effect on the economic green growth of both large cities and non-resource-based cities. This paper is expected to provide a reference for the urban development and economic transformation of emerging economies., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The ecological environment and economic development are double-edged swords. Nevertheless, we can still achieve green and coordinated development through environmental regulations and industrial agglomeration. Based on the panel data from 269 cities in China from 2008 to 2017, using the SBM-DEA model, the Malmquist-Luenberger (ML) index, and the spatial Durbin model (SDM) under different weight matrices, this paper explored the spatial pattern of ecological efficiency, the internal evolution mechanism, and the spillover effects of industrial agglomeration and environmental regulation on ecological efficiency. The results demonstrated that China's urban ecological efficiency had an obvious spatial pattern of "high in the east and low in the west." Due to the different life cycles of cities, the internal evolution mechanism of urban ecological efficiency had significant differences. Pure technological efficiency (PEFFCH), technological progress (TECH), and scale efficiency (SECH) have contributed the most to the ecological efficiency of the eastern, central, and western regions, respectively. Furthermore, a significant U-shaped relationship existed between industrial agglomeration and ecological efficiency. In particular, urban ecological efficiency will be improved when the industrial agglomeration level exceeds a certain scale. However, the spillover effects of industrial agglomeration were more sensitive to distance factors, leading to failure of the significance test under the economic distance and asymmetric economic distance matrix. The "innovation compensation effect" of environmental regulation was greater than the "compliance cost," which verified the applicability of the "Porter Hypothesis" in urban ecological efficiency to a certain extent. Finally, the geographical detector showed that each variable had a certain impact on the urban ecological efficiency, and the impact of the interaction term was greater than that of a single variable., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

In China, the local government's "land for development" strategy has led to a large number of urban construction land allocated to the industrial field, which has promoted the rapid development of industry and economy in the short term but also brought serious environmental quality losses. This paper systematically sets out how land misallocation works on urban air quality and employs the spatial Durbin model (SDM) to conduct an empirical analysis on the panel data of 283 China cities at or above the prefecture level. The result shows that, stimulated by financial maximization and political promotion, in order to obtain more fiscal revenue and growth performance, local governments prefer to allocate a large number of urban construction land to industry and related fields, which leads to the underestimation of industrial land price and the misallocation of land resources. Land misallocation has exerted significant inhibiting effects on the air quality of local and their surrounding cities through inhibiting the upgrading of industrial structure. Further analysis reveals that the bigger the city, the lesser the inhibition effects of land misallocation on upgrading of industrial structure and urban air quality and vice versa. The conclusions of this paper can provide a useful reference for local governments to optimize land allocation, promote economic restructuring, and environmental quality upgrading., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The increased use of renewable energy in electricity generation has not been sufficient to reduce the associated emissions. Therefore, a better understanding of the evolution of electricity consumption may be advisable to undertake suitable energy policies. This paper contributes to this understanding by analyzing the non-linear income and temperature effects on electricity demand in the residential sector in Andalusia (Spain). To this end, panel data OLS, PCSE, and quantile regression analysis methods have been performed to provide a complete picture of the relationship between the studied variables. The results show evidence to support an inverted N-shaped relationship, with respect to income, without reaching the upper threshold point. The results also show that electricity elasticity, with respect to income, tends to increase with residential electricity consumption. It is also observed that temperature values, increasing above 22°C and temperatures decreasing below 15°C progressively, increase residential electricity consumption, the elasticity with respect to temperatures being higher for municipalities with lower residential electricity consumption. Reinforcing energy efficiency measures in the municipalities with the highest electricity consumption is recommended., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper analyzes the theoretical mechanism and transmission channel for the impact of air pollution on firms' domestic value-added ratio (DVAR) in exports. Based on the matched Chinese Industrial Enterprises Database and China Customs Enterprise Database, the DVAR in exports is measured, and this mechanism is empirically tested with standard measurement methods. The study concludes that air pollution is not conducive to raising the DVAR during the sample period. This conclusion remains robust to many issues, such as endogeneity, measurement error, extension of the sample interval, substitution of the air pollution index, and policy changes. The impact of air pollution on the DVAR varies by the type of firm ownership, size, and age, as well as the size and location of the city. In addition, the negative impact of air pollution on the DVAR grows with increases in the PM2.5 concentration. The growing factor prices of domestic intermediate goods and the falling productivity due to air pollution are important transmission channels for the negative impact of air pollution on the DVAR. In order for firms to open up on all fronts through quality trade development, we recommend the prevention and control of air pollution, fueling internal driving forces for firms' independent innovation, and encouraging firms to target the medium- and high-end markets., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Peri-urban areas, defined as the region between urban and rural settlements, are heterogeneous, dynamic regions experiencing rapid land use change in cities around the world. Ongoing development and land use change has resulted in the fragmentation, degradation and loss of natural assets, threatening biodiversity, and ecosystems within the peri-urban region. With much of this land privately owned, the actions of landholders have considerable opportunity to deliver environmental outcomes, yet an understanding of this diverse group of landholders is challenging. Through a survey of landholders (N = 184) in Australian peri-urban regions we sought to understand motivations and barriers to engagement in environmental management. Factors influencing willingness to engage in environmental management included perceived personal capacity to act, feeling that actions were helpful, and community participation. We discuss how engagement strategies could incorporate these findings by focussing on improving capacity and environmental knowledge with hands on, face-to-face extension activities, encouraging simple actions, and fostering greater community interaction.

The inefficient enforcement of environmental policies cannot address global environmental challenges. As a result, China's government has implemented the Central Environmental Protection Inspection (CEPI) to overcome the policy-implementation gap between higher and lower levels of government. The existing literature has examined the positive effects of CEPI on environmental pollution, but has not explained the mechanisms for its success. To examine these mechanisms, this article uses a series of regression analyses on an empirical data set of 282 prefecture-level cities from 2010 to 2018. The results identify the mechanism for the effective implementation of CEPI, from the perspective of the campaign-style governance of local officials at local levels. This study also shows the heterogeneity of the campaign-style governance behavior of local officials, including position types and professional and cultural backgrounds. And finally, this study demonstrates that the campaign-style governance behavior of local officials has a moderating effect on the relationship between environmental pollution and local officials' promotion. Ultimately the article proposes that higher government levels should adopt the effective incentives policy to address gaps between environmental policy and implementation., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.)

The utilization of economic capabilities to raise production in the economy enhances the industrial activities and use of transportation. These activities deteriorate the quality of the environment and raise the level of particulate matter (PM 2.5 ). The objective of this study is to investigate the impact of economic capabilities and population agglomeration on PM 2.5 emissions for the sample of 23 sub-Saharan African countries-a highly polluted region of the world. The study used panel regression from 2007 to 2015 and found that production capabilities are highly significant and directly effecting PM 2.5 emissions. The Kuznets hypothesis does not hold in this region, and the concentration of population in urban areas is also significant. To avoid the problem of possible endogeneity in the empirical model and for robustness check, the study also utilized system GMM and found consistent results. The findings of the study are highly valuable to reduce PM 2.5 and propose that the policymakers in Sub-Saharan African countries should opt for industrial specialization rather than economic complexity and ensure that the proper measures are taken to control PM 2.5 . Moreover, population concentrations should not be taken place in a few main urban cities., (© 2020. Springer-Verlag GmbH Germany, part of Springer Nature.)

Based on the Government Work Report of 265 prefecture-level cities in China from 2004 to 2015, this article combines economic growth expectations data and keyword capture to explore the relationship between government economic growth expectations and air pollution. The main results are as follows: (1) The economic growth expectations of local governments, and the "increment" between prefecture-level and provincial governments' growth expectations for economic growth have significantly increased air pollution. The certainty and completion degree of economic growth expectations have different effects on air pollution, and the impact of the expected rigid constraint and overfulfilled degree on air pollution are prominent. When the city's real economic growth exceeds 1%, 2%, 3%, and 4% of growth expectations, respectively, SO 2 emissions will increase by 10.577%, 10.671%, 11.825%, and 16.296%, and PM 2.5 concentration will increase by 2.115%, 2.503%, 3.592%, and 4.421%. (2) The government's annual economic growth expectations have different effects on different types of technological innovation. For every 1% increase in the government's economic growth expectations, the green technology will be reduced by 0.956% which exacerbates regional air pollution. Furthermore, the green technology can explain 6.5% of air pollution induced by government economic growth expectations.

This paper examines urban environmental performance using a unique database of 286 Chinese cities for the period 2002-2014. Both the dynamics of urban total factor environmental efficiency and total factor environmental productivity are explored employing slack-based measures. The findings reveal a U-shaped trend of urban environmental performance over time during the sample period. Energy conservation and pollutant reduction were the key drivers of this transformation, while the deterioration in capital efficiency slowed down this transformation. In terms of regional and city-size heterogeneities, the eastern and large cities showed better environmental performance. In addition, environmental Kuznets relationship existed for waste water and SO 2 emissions, but not for CO 2 emissions.

Phthalate acid ester, di (2-ethylhexyl) phthalate (DEHP) is ubiquitously detected contaminant of emerging concerns (CECs) in all the environmental samples. The present study attempted to understand the fate and transport of DEHP in urban areas by evaluating the quantities, distribution, risk, and effects in the Mysuru city, India. The study is anticipated to serve as a vital document for local and national regulators to frame a robust DEHP management plan and mitigate the risks associated. Liquid-liquid microextraction followed by gas chromatographic analysis was adopted to determine the concentrations of DEHP. The risk quotient method was adopted to assess potential risk, and a conceptual planning model framework was designed to mitigate the DEHP contamination. The municipal wastewater contained 115 ± 9.2 μg/L, whereas treated municipal wastewater showed 95 ± 7.6 μg/L DEHP that was attributed to the inefficiency of the treatment plant. Further, sediments in surface water, as well as groundwater samples of the study area, showed 8 ± 0.64 to 12 ± 0.96 μg/L and 32 ± 2.56 to 40 ± 3.2 μg/kg of DEHP, respectively. The risk quotient of 19.17 for samples in around treatment indicated highest risk, whereas groundwater samples had a risk quotient of 1-2 indicating relative risk to aquatic organisms. In addition, the study highlighted the source, possible entry pathways, and management strategies including treatment aspects to draw an understanding of the distribution and potential ecological imbalances with contamination of DEHP in the urban sector. PRACTITIONER POINTS: Understand the fate and transportation of DEHP in urban wastewater. Primary investigation and assessment to possible health and environmental risks of DEHP contamination in urban wastewater. Revealed the associated health risks and proposed possible management strategies., (© 2020 Water Environment Federation.)

Based on the development concepts of "innovation, coordination, green, opening and sharing," a high-quality economic evaluation index system is constructed using city-level data in Yangtze River Economic Belt (YREB), China. Further, the spatial lag model is used to empirically study the effects of environmental regulation, foreign direct investment, and its interaction term on the high-quality economic development. The results show that environmental regulation is conducive to promoting high-quality economic development, which provides a certain empirical basis for the Porter Hypothesis. In addition, foreign direct investment also plays a significant positive role. Specifically, environmental regulation has positive impacts on the relationship between foreign direct investment and the high-quality economic development. Finally, this paper puts forward some countermeasures and suggestions, such as improving environmental regulation policy and actively introducing high-quality foreign direct investment.

The evidence that social relationships are associated with well-being is so strong that it is taken as a 'fact' (Kushlev et al., 2018, Journal of Research in Personality, 74, 124). The bulk of the existing evidence derives from research examining social relationships with close others, such as family, romantic partners, and friends (Dolan et al., 2008, Journal Economic Psychology, 29, 94; Li & Kanazawa, 2016, British Journal of Psychology, 107, 675). However, less is known about how connecting with strangers is associated with well-being, how such connections are represented by people, and what motivates people's desire to connect with strangers. This study aims to examine representations and motivations for social connectedness with strangers in contemporary British cities. To do this, an interview study of 52 city-dwellers living in Britain's two largest cities, London and Birmingham, was conducted. The Grid Elaboration Method (GEM) (Joffe & Elsey, 2014, Review of General Psychology, 18, 173), a free association and interview technique, was applied. Thematic analysis revealed that representations of strangers vacillate between 'good' and 'bad', are built upon the 'self/other' thema, are shaped by the contextual factors place, time, and technology, and are motivated by a desire to 'matter'. This work makes a key contribution to the study of social connectedness in cities and can inform effective urban policy., (© 2020 The British Psychological Society.)

We investigated the association between air pollution and asthma and bronchitis hospital admissions in Algiers city (Algeria). In addition, we used geographic information systems (GIS) and statistical methods to evaluate their correlation with the atmospheric pollution estimated by the lichen biomonitoring method of the index of atmospheric purity (IAP), the index of human impact (IHI) and environmental parameters. Thus, we georeferenced 976 local patients (including 771 patients with asthma and 205 patients with bronchitis). Then, we compared the patients to the spatial distribution of IAP in thirty-five areas (communities). The results revealed a significant difference in the mean spatial variation in the diseases among those areas. In fact, maps and generalized linear models (GLMs) revealed a significant negative correlation between IAP and diseases. Therefore, redundancy analysis (RDA) and Monte Carlo tests described a significant effect of IAP, urbanization and the number of roads on the distribution of diseases. We hope our findings contribute to enriching the literature on health research with a low-cost method of monitoring outdoor air pollution.

The concept of a so-called urban advantage in health ignores the possibility of heterogeneity in health outcomes across cities. Using a harmonized dataset from the SALURBAL project, we describe variability and predictors of life expectancy and proportionate mortality in 363 cities across nine Latin American countries. Life expectancy differed substantially across cities within the same country. Cause-specific mortality also varied across cities, with some causes of death (unintentional and violent injuries and deaths) showing large variation within countries, whereas other causes of death (communicable, maternal, neonatal and nutritional, cancer, cardiovascular disease and other noncommunicable diseases) varied substantially between countries. In multivariable mixed models, higher levels of education, water access and sanitation and less overcrowding were associated with longer life expectancy, a relatively lower proportion of communicable, maternal, neonatal and nutritional deaths and a higher proportion of deaths from cancer, cardiovascular disease and other noncommunicable diseases. These results highlight considerable heterogeneity in life expectancy and causes of death across cities of Latin America, revealing modifiable factors that could be amenable to urban policies aimed toward improving urban health in Latin America and more generally in other urban environments.

Rivers are one of the major freshwater resources, which provide water for irrigation, domestic, recreational, environmental, and industrial purposes, but they are extremely vulnerable to pollution due to discharge of untreated waste. Establishing the baseline river water quality data is important, so that monitoring changes over time, assessing impacts of particular developmental projects and setting water quality standards for the protection of the river, can be undertaken. In the present study, water quality assessment was done for a segment of Yamuna River passing through Panipat district, Haryana, India. This study is an attempt to know the impact of wastewater generated due to urban and industrial activities taking place in Panipat city and nearby areas, on River Yamuna. Furthermore, vulnerability zone of River Yamuna was delineated using CCME-WQI, NSF-WQI, and hierarchical cluster analysis (HCA). The water quality samples were further evaluated for the agricultural and industrial purposes to determine whether the water can be used for irrigation and industrial requirements. The study also considered the existing land use land cover (LULC) on left and right banks of the River Yamuna and the wastewater carrying drain. River Yamuna travels nearly a distance of ≈ 44 Kms in and around Panipat district and the results of the study indicated that nearly 13 Km stretch of River is more vulnerable to pollution. Thus, it is suggested that wastewater discharge regulation, installation of effluent treatments plants, and maintenance of environmental flow are prerequisite to protect and restore the River Yamuna.

The research is a maiden study aimed to assess the radioactivity in groundwater of Srinagar City using uranium and radon as proxies. In this study, 60 water samples were collected from various water sources that include bore wells, hand pumps and lakes of Srinagar City. Among them, 45 samples were taken from groundwater with depths ranging from 6 to - 126 m and the rest of the 15 samples were collected from surface sources like lakes, rivers and tap water. A gamma radiation survey of the area was carried out prior to collection of water samples, using a gamma radiation detector. A scintillation-based detector was utilized to measure radon, while as LED fluorimetry was employed to assess uranium in water samples. The average uranium concentration was found to be 2.63 μg L -1 with a maximum value of 15.28 μg L -1 which is less than the globally accepted permissible level of 30 µg L -1 . 222 Radon concentration varied from 0.2 to 38.5 Bq L -1 with an average value of 8.9 Bq L -1 . The radon concentration in 19 groundwater samples (32% of total sites) exceeded the permissible limits of 11 Bq L -1 set by USEPA. This information could be of vital importance to health professionals in Kashmir who are researching on the incidence of lung cancers in the region given the fact that radon is the second leading cause of lung cancers after smoking worldwide.

This study examines the impact of economic and financial activities on air pollution in China using prefecture-level panel data from 2004 to 2015. Recruiting the air quality index (AQI) as a measure of overall air quality in Chinese cities, we find that industrial production, financial development, and economic integration lead to higher overall air pollution. Nevertheless, efficiency in urban planning through public transportation and population density alleviates this environmental degradation. A closer look into the two main air pollutants in China, sulphur dioxide and dust, further highlights the complexity of the issue. We find that trade openness reduces both sulphur dioxide and dust emissions, whereas financial development reduces sulphur dioxide emissions but increases dust in Chinese cities. Our findings are of particular interest to policymakers when devising environmental policies in support of sustainable economic development.

Solar photovoltaic panels are increasingly being used throughout the world, particularly in Egypt, where a station has been constructed in the city of Aswan with a capacity of 1480 MW, and is classified as one of the largest photovoltaic plants in the Middle East country, where photovoltaic systems are characterized as environmentally friendly and do not produce any pollutants, and photovoltaic systems have the ability to operate with diffuse radiation. It is therefore very important to understand how photovoltaic panels respond to changing weather conditions and how climate conditions affect the performance of photovoltaic cells, as only 15-20% of solar radiation can be converted to electricity, while the rest is wasted as thermal heat. There are two very important factors influencing the efficiency of the photovoltaic cells: the cell temperature and the solar radiation intensity on the photovoltaic cells. Cooling of the optical surfaces is one of the main factors that must be considered in order to achieve the highest efficiency when operating the solar PV systems. By using the appropriate cooling technology for the photovoltaic cells, the electrical efficiency is improved, and the cell degradation rate is decreased over time, which increases the life span of the PV panels. In some applications, such as industrial and domestic applications, excess energy removed with cooling technology could be used. The cooling mediums used to cool the PV panels are water, air, PCM, and nanofluid. Also, the spectral splitting utilization represents a good solution for hybrid solar photovoltaic-thermal applications to obtain higher performance of the photovoltaic. This paper gives a brief analysis of technologies used to improve PV systems efficiency in terms of the nature of cooling media, spectral splitting, and reflectors. Moreover, the economic study of these techniques is presented to demonstrate their economic feasibility. The aims of the present review paper are to provide good knowledge and understanding of all technologies used to improve the performance of PV systems and demonstrate the economic feasibility of these technologies.

U.S. public university campuses are held directly responsible for compliance with many of the same federal- and state-level environmental regulations as cities, including stormwater management. While operating as 'cities within cities' in many respects, campuses face unique constraints in achieving stormwater regulatory compliance. To compare the abilities of campuses to comply with stormwater regulations to municipalities, we conduct mixed-methods research using primary data from five University of California (UC) campuses. Public universities constituted over 20% of California's "nontraditional" permittees under the municipal separate storm sewer system (MS4) regulation regime in 2013. We utilize semi-structured interviews with campus and regulatory officials, a survey of campus students and staff around support and willingness to pay for innovative stormwater management, and content analysis of campus stormwater management documents to examine challenges to public university stormwater compliance. We find that, despite their progressive environmental practices in other areas like energy and water conservation, even as compared to cities, stormwater management practices on the evaluated campuses are constrained by several factors: infrastructure financing limitations, lack of transparent and coordinated decision-making, a lack of campus resident involvement, and regulatory inflexibility. Our study provides new insights, both for understanding campuses as sustainable 'cities within cities' and more broadly for urban environmental compliance regimes globally.

We attempt to understand the pollution characteristics and carcinogenic risk of toxic elements around Hutou Village, Xuanwei City, Yunnan Province, China. For this propose, 48 road dust samples were collected systematically, and the concentrations of Cr, Ni, Cu, Zn, As, Cd, Pb, Co, and Cr(IV) were analyzed and compared; the spatial distribution was obtained. The I geo and EF indices and multivariate statistical analysis (CA, PCA, HACA) were carried out for source investigation, and human health risk assessment was also adopted to evaluate local non-carcinogenic and carcinogenic risks. The result showed that Cr, Ni, Cu, Cd and Co contaminations were quite serious; Zn, As, Cd, and Pb had similar distribution pattern, and Cr and Ni also shared similar distribution characteristics; Cd, Pb, Zn, and As ascribed to anthropogenic sources, while Cr and Ni originated from either anthropogenic activity or natural sources; Co and Cu originated from natural sources; the non-carcinogenic risk of Co cannot be ignored. The carcinogenic risk of Ni was considered unacceptable. Finally, an indoor coal-burning pattern was established that the high Cd and Ni inhalation and ingestion model was associated with lung cancer.

Since 2017, many US cities have implemented taxes on sugar-sweetened beverages to decrease consumption of sugary beverages and raise revenue. We analyze household receipt data to examine the impact of taxes on households' beverage purchases in the four largest US cities with such taxes: Philadelphia, PA; San Francisco, CA; Seattle, WA; and Oakland, CA. We compare changes in monthly household purchases in the treatment cities with changes in two comparison groups: (1) areas adjacent to the treatment cities or (2) a matched set of households nationally. An increase in the tax rate of 1 cent per ounce decreases household purchases of taxed beverages by 53.0 ounces per month (12.2%). This impact is consistent with a reduction in individual consumption of 5 calories per day per household member and eventual reduction in weight of 0.5 pounds. However, the decline was concentrated in Philadelphia, where the tax decreased purchases by 27.7%. There was no change in purchases of taxed beverages in the other three cities combined., (© 2020 John Wiley & Sons, Ltd.)

This study's objective is to estimate the effects of corruption in the public health sector on the economic growth of Brazilian municipalities. To build three corruption measures, data from audits conducted by the office of the comptroller general (Controladoria Geral da Uniao, CGU henceforth) in 2009 and 2010 in the health and sanitation sectors were used. Two analysis steps were performed. The first verified the relationship between the performance of the audit and the economic growth rate of the municipalities, using the Ordinary Least Squares (OLS); the second analyses the effects of corruption on public health on the economic growth of the audited municipalities, using OLS and Quantile Regressions. First, in a sample of 5547 municipalities, the evidence indicates that being audited is related to slower economic growth. From this, when the sample is restricted to the 180 municipalities audited in 2009 and the corruption variables constructed from the audit reports conducted in the year, the results indicate negative effects of corruption on economic growth. The results show that in the larger quantiles of economic growth, the adverse effects of corruption are felt more significantly. Both methods tested with the three corruption variables created provide similar evidence, showing robustness of results. Therefore, the study allowed us to conclude that corruption in the public health sector hampered the economic growth of Brazilian municipalities, which is a delayed effect: Corruption in 2009 had negative effects on growth in 2011.