scholarly journals Encouraging Public Transport Use to Reduce Traffic Congestion and Air Pollutant: A Case Study of Ho Chi Minh City, Vietnam

2016 ◽  
Vol 142 ◽  
pp. 236-243 ◽  
Author(s):  
Thi Phuong Linh Le ◽  
Tu Anh Trinh
2012 ◽  
Vol 610-613 ◽  
pp. 3809-3813
Author(s):  
Ling Hong Wei ◽  
Hong Yang Wu ◽  
Huan Li

The major western cities of China are beginning to suffer the growing traffic congestion problems, which eastern cities of China has experienced. Learn lessons from eastern cities on traffic issues as soon as possible, dealing with the diversified modes of public transportation problem of convergence effectively, providing condition for integration development of urban public transport in the west is the main goal in this paper. This paper takes Subway transit Line 6 in Chongqing as a bus connection example. On the basis of passenger volume forecast, integrated public transport optimization theory and method are used to study Chongqing subway transit Line 6 along the feeder site optimization program , it can provide the theoretical foundation and technical support for the public transport network optimization of Chongqing.


2019 ◽  
Vol 18 (1) ◽  
pp. 44-57
Author(s):  
Hussaen Ali Hasan Kahachi

Traffic congestions is one of the main problems for many cities especially in newly urbanizing countries worldwide. The issue of traffic congestions has major impact not only on the planning of the city, but also on many aspects such as residence overall well-being. Governments often try to address this issue through a number of initiatives, most important of which is promoting public transport in order to reduce the dependency on private cars in the city. This research analyzed state-led public transportation initiatives impact on addressing traffic congestion in developing countries through a case study of the Greater Cairo Region in Egypt. The research specifically focused on two state-led public transportation programs, namely the Great Cairo Transport Authority (CTA) program to improve the existing public transport services in GCR and the GCR underground metro program during the 1990s to early 2010s. The research found that although these programs were successful in limiting the increase of privately owned cars and taxies in GCR, they did not decrease traffic congestions due to a number of issues including malpractice, political and administrative corruption, and rapid population growth and increased population densities that almost doubled in the period from early 1990s to early 2010s.


2018 ◽  
Vol 47 (1) ◽  
pp. 119-137 ◽  
Author(s):  
Jiangping Zhou ◽  
Enda Murphy ◽  
Jonathan Corcoran

The excess commuting framework has advanced a series of metrics through which a city or a region’s jobs-housing balance and commuting efficiency can be measured. This study seeks to add to the conceptual development and extension of the excess commuting framework. Specifically, it considers the carrying capacity (of links) and related congestion issues in the excess commuting framework and demonstrates that overlooking these characteristics has important implications for excess commuting metrics. Drawing on an empirical case study, it shows that when carrying capacity and traffic congestion are accounted for, the observed commute is longer than otherwise. Excess commuting tends to be higher than its counterparts in previous excess commuting studies. The findings suggest that future excess commuting studies should take account of carrying capacity and congestion in determining excess commuting metrics. Moreover, high-quality connections (preferably via public transport) between jobs and housing allied with sufficient carrying capacity of popular links/routes for commuters are crucial preconditions for cities and regions to harvest the full benefits of jobs-housing balance policies targeted at the reduction of the average commute distance and vehicle miles travelled.


Author(s):  
Alireza Hamoudzadeh ◽  
◽  
Saeed Behzadi ◽  

Vehicles and traffic congestion have been known as the main reasons for air pollution in urban areas, and Cellular Automata (CA) holds a great promise for predicting this hazard. Urban air pollution is a complex phenomenon and many factors involve in its distribution and diffusion. In this paper, the traffic map was used as the source of the air pollutant. Also, the prediction of urban pollution has been done using different data sources such as green space, buildings, wind direction and speed. The coefficient of these factors got estimated with Genetic Algorithm, and a comparison between different modes of the model got done. With considering the effect of these factors an accuracy of 58.4% was obtained.


2019 ◽  
Vol 18 (1) ◽  
pp. 44-57
Author(s):  
Hussaen Ali Hasan Kahachi

Traffic congestions is one of the main problems for many cities especially in newly urbanizing countries worldwide. The issue of traffic congestions has major impact not only on the planning of the city, but also on many aspects such as residence overall well-being. Governments often try to address this issue through a number of initiatives, most important of which is promoting public transport in order to reduce the dependency on private cars in the city. This research analyzed state-led public transportation initiatives impact on addressing traffic congestion in developing countries through a case study of the Greater Cairo Region in Egypt. The research specifically focused on two state-led public transportation programs, namely the Great Cairo Transport Authority (CTA) program to improve the existing public transport services in GCR and the GCR underground metro program during the 1990s to early 2010s. The research found that although these programs were successful in limiting the increase of privately owned cars and taxies in GCR, they did not decrease traffic congestions due to a number of issues including malpractice, political and administrative corruption, and rapid population growth and increased population densities that almost doubled in the period from early 1990s to early 2010s.


2020 ◽  
Vol 14 (1) ◽  
pp. 143-153
Author(s):  
Marco Guerrieri ◽  
Matteo Sartori

Background: Roundabouts eliminate some of the most complex and dangerous aspects of traditional at-grade road intersections. In recent times, novel two-level roundabout layouts have been proposed (i.e. target-roundabout and four-flyover roundabout). Nevertheless, no research on underground roundabouts is available. This paper analyzed the underground roundabout planned in the city of Trento (Italy). Objective: The paper examines an underground roundabout in an urban context, planned with the purpose of alleviating traffic congestion in the city of Trento (Italy). Four different layouts have been studied. Methods and Results: This study was conducted with the help of traffic microsimulation in the AIMSUN environment. The traffic model was calibrated using GEH index. The simulated queues are significantly close to the real queues measured in the year 2020. Conclusion: Underground roundabout can reduce queues, travel times, fuel consumption, air pollutant emissions etc. This particular type of roundabout could be used in urban contexts with a traffic demand and congestion problems comparable to those of the present study.


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