scholarly journals Identifying contributions of on-road motor vehicles to urban air pollution using travel demand model data

2009 ◽  
Vol 14 (3) ◽  
pp. 168-179 ◽  
Author(s):  
Guihua Wang ◽  
Song Bai ◽  
Joan M. Ogden
2018 ◽  
Vol 7 (1.6) ◽  
pp. 1
Author(s):  
Bollini Prasad ◽  
Kumar Molugaram

The rapid development of urbanization, population growth and the rapid development of economy resulted in the rapid increase in the total number of motor vehicles in the modern cities of India. Consequently, the importance of forecasting of the travel demand model has been increased in the recent years. Forecasting of the travel demand model involves various stages of trip generation and distribution, mode choice and traffic assignment. Among these stages, the mode choice analysis is a prominent stage as it considers the travelers mode to reach their destination. Further, study of mode choice criteria has become a vital area of research as individual and household socio-demographics exert a strong influence on travel mode choice decisions. There is a huge literature on travel model choice modeling to predict the range of trade-offs of transportation of commuters considering travel time and travel cost. In such literature intercity mode choice behavior has gained significant attention by several authors. In this study an attempt has made in order to calculate the model share of the different modes between the circle to the circle, and it is found that the modal share of 2-wheeler is 70 %, bus is about 23 % and car is about 7% of the total trips.


Author(s):  
Olena Kofanova ◽  
◽  
Oleksii Kofanov ◽  

Purpose. The aim of the study is to predict the potential risk of urban air pollution by toxic components of exhaust gases of vehicles in terms of the underground and terrestrial urban planning, in particular, street canyons, underground pedestrian crossings, underground parking lots, etc. Methods. The following research methodology was used in the work: on the basis of space-time field observations of the intensity, density and speed of traffic flows, as well as using mathematical modeling methods it was proved that urban air pollution (of the roadside space, adjacent territories of well-type yards, underground infrastructure, etc.) by toxicants, which are components of vehicle engine emissions, remains at a high, often environmentally hazardous level, and therefore requires urgent development and implementation of the appropriate precautionary measures. Results. The analysis of problems of ecological safety of city objects of terrestrial (high-traffic roads, adjacent territories) and underground (underground pedestrian crossings, garages, parking lots) urbanistics allowed to reveal direct and indirect negative influences on air environment from emissions of motor vehicles; using mathematical modeling methods to predict the fields of concentration of major toxicants and identify areas of local emergency pollution in different weather conditions, identify the most unfavorable directions and wind speeds and assess the level of environmental hazards to human health (residents of houses located in the well-type yards, pedestrians, owners of underground garages (parking lots), tenants of parking spaces, etc.). Scientific novelty. The study revealed direct and indirect negative effects of the motor transport complex on the air environment of urban territories (objects of terrestrial and underground urbanistics), in particular, based on the use of mathematical modeling methods. The level of environmental danger to the health of urban residents has been assessed. Practical significance. The results of the study can be used in the design and construction of urban infrastructure, as well as to reduce the technogenic load on the environment and human health in existing objects of terrestrial and underground urbanistics and other city areas.


2017 ◽  
Vol 68 (4) ◽  
pp. 858-863
Author(s):  
Mihaela Oprea ◽  
Marius Olteanu ◽  
Radu Teodor Ianache

Fine particulate matter with a diameter less than 2.5 �m (i.e. PM2.5) is an air pollutant of special concern for urban areas due to its potential significant negative effects on human health, especially on children and elderly people. In order to reduce these effects, new tools based on PM2.5 monitoring infrastructures tailored to specific urban regions are needed by the local and regional environmental management systems for the provision of an expert support to decision makers in air quality planning for cities and also, to inform in real time the vulnerable population when PM2.5 related air pollution episodes occur. The paper focuses on urban air pollution early warning based on PM2.5 prediction. It describes the methodology used, the prediction approach, and the experimental system developed under the ROKIDAIR project for the analysis of PM2.5 air pollution level, health impact assessment and early warning of sensitive people in the Ploiesti city. The PM2.5 concentration evolution prediction is correlated with PM2.5 air pollution and health effects analysis, and the final result is processed by the ROKIDAIR Early Warning System (EWS) and sent as a message to the affected population via email or SMS. ROKIDAIR EWS is included in the ROKIDAIR decision support system.


2020 ◽  
Vol 1 (3) ◽  
pp. 100047 ◽  
Author(s):  
Donghai Liang ◽  
Liuhua Shi ◽  
Jingxuan Zhao ◽  
Pengfei Liu ◽  
Jeremy A. Sarnat ◽  
...  

Author(s):  
Nikolaos Sifakis ◽  
Maria Aryblia ◽  
Tryfon Daras ◽  
Stavroula Tournaki ◽  
Theocharis Tsoutsos

2021 ◽  
Vol 246 ◽  
pp. 118094
Author(s):  
Erik Velasco ◽  
Armando Retama ◽  
Miguel Zavala ◽  
Marc Guevara ◽  
Bernhard Rappenglück ◽  
...  

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