Marta C. González

TL;DR: In this article, the authors analyzed the phase transitions of spatial networks to a state of congested transport and the influence of both topology and spatial dynamics on its emergence, and systematically showed that the value of the critical loading rate at which congestion emerges is affected by the addition of spatial dynamics, changing the nature of this transition from a continuous to a discontinuous one.

Abstract: Urban air pollution imposes major environmental and health risks worldwide, and is expected to become worse in the coming decades as cities expand. Detailed monitoring of urban air quality at high spatial and temporal resolution can help to assess the negative impacts as a first step towards mitigation. Improvement of air quality needs a variety of measures working together, including controlling industrial pollution and mitigating automobile emissions. In contrast to the measurable industrial pollution, in many of the developing countries, the impact and control of automobile emissions on air quality is neither well understood nor well established. Moreover, the automobile emission data sets are difficult to collect. In this paper, we present a data analysis framework to uncover the impact of urban traffic on estimating air quality in different locations within a metropolitan area. To that end, we estimate the traffic surrounding 24 air quality (AQ) monitoring stations in Beijing, combining mobile phone data and road networks with a traffic assignment model. We investigate how the amount of traffic surrounding each station can impact the modeling of air quality index (AQI) observed by the stations. We separately estimate the contribution of traffic information to the modeling of AQI with regression models in the summer and winter. Further, we group the AQ monitoring stations into four classes, and show that in the summer, air pollution in the inner city is generally more severe than that in the suburbs due to urban traffic; while in the winter, air pollution in the south of Beijing surpasses that in the inner city, most likely due to heating using coal.

TL;DR: In this paper, the authors analyzed the economic impact of adding a battery system to a new PV system that would otherwise be installed on its own, for different residential electricity load profiles in Geneva (Switzerland) and Austin (U.S.) using lithium-ion batteries performing various consumer applications.

TL;DR: The potential of low-frequency bus localization data for the monitoring and control of bus system performance is investigated and it is shown that data with a sampling rate as low as 1 min, when processed appropriately, can provide ample information.

TL;DR: The proposed methodology is not only important for urban planning, but also does support various business and public stakeholder decision processes, concentrated for example around the question how to attract more visitors to the city or estimate the impact of special events organized there.