Predicting Transportation Carbon Emission with Urban Big Data

Transportation carbon emission is a significant contributor to the increase of greenhouse gases, which directly threatens the change of climate and human health. Under the pressure of the environment, it is very important to master the information of transportation carbon emission in real time. In the traditional way, we get the information of the transportation carbon emission by calculating the combustion of fossil fuel in the transportation sector. However, it is very difficult to obtain the real-time and accurate fossil fuel combustion in the transportation field. In this paper, we predict the real-time and fine-grained transportation carbon emission information in the whole city, based on the spatio-temporal datasets we observed in the city, that is taxi GPS data, transportation carbon emission data, road networks, points of interests (POIs), and meteorological data. We propose a three-layer perceptron neural network (3-layerPNN) to learn the characteristics of collected data and infer the transportation carbon emission. We evaluate our method with extensive experiments based on five real data sources obtained in Zhuhai, China. The results show that our method has advantages over the well-known three machine learning methods (Gaussian Naive Bayes, Linear Regression, and Logistic Regression) and two deep learning methods (Stacked Denoising Autoencoder and Deep Belief Networks)

URBAN AIR QUALITY. A COMPARATIVE STUDY OF MAJOR EUROPEAN CAPITALS

In this article, the authors made a comparative analysis of air quality in several European capitals, with the goal to identify the place occupied by Bucharest among the most polluted cities in the European Union. For this analysis we used data reported by various member states, as well as data provided by the Romanian National Network of Air Quality. The comparative analysis presents the last years evolution for the concentration of the most important substances involved in the atmospheric pollution process, emphasizing the place occupied by Bucharest city according to the quality index value of the cities.air quality, European capitals, comparative analysis, pollution, urban environment.

Climate Change Hysteria and the Supreme Court: The Economic Impact of Global Warming on the U.S. and the Misguided Regulation of Greenhouse Gas Emissions under the Clean Air Act

In the spring of 2007, the U.S. Supreme Court ruled in Massachusetts v. EPA that the U.S. Environmental Protection Agency (EPA) must promulgate automobile tailpipe C02 emission standards under Section 202 of the Clean Air Act (CAA). American environmentalists hailed the Supreme Court's decision as an important victory in the battle to curb global warming. This article argues to the contrary that: 1) a large body of economic work demonstrates that the likely pattern of costs and benefits from climate change in the United States bears no resemblance to the pollution problems that Congress intended to deal with in the Clean Air Act, with moderate climate change predominantly benefiting, rather than harming, the U.S. -- so that that the Clean Air Act cannot reasonably be interpreted to cover greenhouse gas emissions; 2) By effectively forcing the EPA to regulate ghg emissions under a statute that was never intended to cover the very different problem of climate change, the Court has changed the policy status quo in a way that makes socially desirable federal climate change legislation less likely; and 3) given the global nature of the greenhouse gas emission problem, unilateral emission limits in the U.S. are likely to be worse than ineffective, in that they will likely have the perverse effect of lessening the incentive for latecomers to climate change regulation (such as China) to themselves take costly action to reduce such emissions. The article concludes by arguing that a sensible formulation of U.S. climate change policy would involve measures to respond both to the long-term threat to the U.S. and the short-term threat to developing countries. There are policy instruments appropriate to these goals: large increases in subsidies for research and development into clean coal and alternative fuels to respond to the long term threat to the U.S.; redirecting foreign aid to fund climate change adaptation in developing countries to respond to the short term threat to developing countries.