The document presents congestion level data for 59 European cities ranked from most congested to least. Moscow, Russia has the highest overall congestion level at 66% and experiences 106% more congestion during morning peaks. Malaga, Spain has the lowest congestion level at 10% and experiences 16% more congestion during morning peaks. The data includes congestion levels for morning peaks, evening peaks, weekdays, and weekends.
1) The TomTom Congestion Index analyzes traffic congestion levels in over 120 cities around the world based on GPS travel time data.
2) Moscow has the highest congestion level in Europe at 66%, with morning commutes taking 106% longer and evening commutes 138% longer due to traffic.
3) Other top congested European cities include Istanbul at 55% and Warsaw at 42%.
фиговский магаршак цивилизация и утилизация 57(8 2006)Ecolife Journal
различие в том, как используются источ
ники энергии в природе и цивилизации. Сжигая топли
во, мы выбрасываем в атмосферу газы, нарушающие гло
бальный баланс. Ничего подобного не происходит в жи
вых организмах при утилизации универсального топлива
жизни — глюкозы и ее производных.
1) The TomTom Congestion Index analyzes traffic congestion levels in over 120 cities around the world based on GPS travel time data.
2) Moscow has the highest congestion level in Europe at 66%, with morning commutes taking 106% longer and evening commutes 138% longer due to traffic.
3) Other top congested European cities include Istanbul at 55% and Warsaw at 42%.
фиговский магаршак цивилизация и утилизация 57(8 2006)Ecolife Journal
различие в том, как используются источ
ники энергии в природе и цивилизации. Сжигая топли
во, мы выбрасываем в атмосферу газы, нарушающие гло
бальный баланс. Ничего подобного не происходит в жи
вых организмах при утилизации универсального топлива
жизни — глюкозы и ее производных.
КАЧЕСТВЕННАЯ ОЦЕНКА СОСТОЯНИЯ УРБАНИЗИРОВАННЫХ ТЕРРИТОРИЙ
КАЖДЫЙ ИССЛЕДОВАТЕЛЬ, ИНТЕРЕСУЮЩИЙСЯ ОХРАНОЙ ОКРУЖАЮЩЕЙ ПРИРОДНОЙ СРЕДЫ, МОЖЕТ ЭТИ ОЦЕНКИ ПРОВЕСТИ САМОСТОЯТЕЛЬНО
(по данным о химическом составе и кислотности атмосферных осадков)
The document discusses an online traffic monitoring system for mobile users that provides information on traffic jams, meteorological conditions, traffic flow parameters, air pollution levels, and short-term and long-term health risks. It uses a Gaussian model of turbulent diffusion to calculate pollutant concentrations from traffic emissions based on factors like emission rates, wind speed, and source height. The system obtains real-time traffic and weather data from online sources to analyze current conditions. It also allows users to obtain routes with lowest estimated health risks and get categorized risk levels for their journey. While the simple calculation methods make instant estimates possible, the summary notes that more detailed road and vehicle data could improve accuracy.
This document is the 11th edition of the Global Risks Report published by the World Economic Forum. It contains information on global risks identified through a survey, along with figures displaying the perceived likelihood and interconnectedness of various economic, geopolitical, environmental, societal and technological risks. The report is published for the World Economic Forum's Global Competitiveness and Risks Team and was obtained from sources believed to be reliable, though not independently verified.
КАЧЕСТВЕННАЯ ОЦЕНКА СОСТОЯНИЯ УРБАНИЗИРОВАННЫХ ТЕРРИТОРИЙ
КАЖДЫЙ ИССЛЕДОВАТЕЛЬ, ИНТЕРЕСУЮЩИЙСЯ ОХРАНОЙ ОКРУЖАЮЩЕЙ ПРИРОДНОЙ СРЕДЫ, МОЖЕТ ЭТИ ОЦЕНКИ ПРОВЕСТИ САМОСТОЯТЕЛЬНО
(по данным о химическом составе и кислотности атмосферных осадков)
The document discusses an online traffic monitoring system for mobile users that provides information on traffic jams, meteorological conditions, traffic flow parameters, air pollution levels, and short-term and long-term health risks. It uses a Gaussian model of turbulent diffusion to calculate pollutant concentrations from traffic emissions based on factors like emission rates, wind speed, and source height. The system obtains real-time traffic and weather data from online sources to analyze current conditions. It also allows users to obtain routes with lowest estimated health risks and get categorized risk levels for their journey. While the simple calculation methods make instant estimates possible, the summary notes that more detailed road and vehicle data could improve accuracy.
This document is the 11th edition of the Global Risks Report published by the World Economic Forum. It contains information on global risks identified through a survey, along with figures displaying the perceived likelihood and interconnectedness of various economic, geopolitical, environmental, societal and technological risks. The report is published for the World Economic Forum's Global Competitiveness and Risks Team and was obtained from sources believed to be reliable, though not independently verified.