traffic

Data shows vehicle traffic in New Hampshire gradually rising, still down sharply from 2019

HIGHWAYS ACROSS THE STATE ARE UP TO SPEED. ACCORDING TO TRAFFIC DATA OBTAINED BY WMUR, MORE CARS ARE BACK ON THE ROAD AFTER A DRAMATIC DROP LAST MONTH. THE DATA FROM THE STATE DEPARTMENT OF TRANSPORTATION SHOWS THAT TRAFFIC BEGAN TO DECREASE THE WEEK OF MARCH 15 AND THAT TREND CONTINUED TO THE WEEK OF APRIL 5. BUT BY THE WEEK OF APRIL 12, NUMBERS BEGAN TO RISE AND HAVEN’T STOPPED SINCE THEN. THE OVERALL NUMBERS ARE STILL DOWN MORE THAN HALF COMPARED TO THIS TIME LAST YEAR. ERIN: FEWER AND FEWER PEOPLE ARE TAKING FLIGHTS BECAUSE OF THE PANDEMIC. PASSENGER TRAFFIC AT NEW HAMPSHIRE’S BIGGEST AIRPORT DROPPED 52% LAST MONTH. MANCHESTER-BOSTON REGIONAL AIRPORT HAD NEARLY 69,000 TRAVELERS IN MARCH. THAT’S COMPARED TO OVER 143,000 A YEAR AGO. AIRPORT OFFICIALS PREDICT THAT APRIL’S DROP COULD BE AROUND

Data shows vehicle traffic in NH gradually rising, still down sharply from 2019

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German Universities To Offer Bicycling Traffic Degree Program

German universities are to start teaching the hitherto neglected subject of bicycling traffic. Seven institutions have received funding from the national government to appoint professors in the subject, with the first students expected to sign up for Masters courses next year.

“Cycling must be placed on an equal footing with other means of transport,” said a statement from the Federal Ministry of Transport and Digital Infrastructure (BMVI) which is endowing the chairs with seed funding of 8.3 million.

“We are providing cyclists with allies who, in the future, can apply their know-how in a focused manner on the ground and in the cities, towns, and local communities,” continued the BMVI statement.

Among the institutions introducing the course in 2021 is

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Air pollution and health risks due to vehicle traffic

Abstract

Traffic congestion increases vehicle emissions and degrades ambient air quality, and recent studies have shown excess morbidity and mortality for drivers, commuters and individuals living near major roadways. Presently, our understanding of the air pollution impacts from congestion on roads is very limited. This study demonstrates an approach to characterize risks of traffic for on- and near-road populations. Simulation modeling was used to estimate on- and near-road NO2 concentrations and health risks for freeway and arterial scenarios attributable to traffic for different traffic volumes during rush hour periods. The modeling used emission factors from two different models (Comprehensive Modal Emissions Model and Motor Vehicle Emissions Factor Model version 6.2), an empirical traffic speed–volume relationship, the California Line Source Dispersion Model, an empirical NO2–NOx relationship, estimated travel time changes during congestion, and concentration–response relationships from the literature, which give emergency doctor visits, hospital admissions and mortality

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