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

Le, Thi Phuong Linh; Trinh, Tú Anh

doi:10.1016/j.proeng.2016.02.037

Cited by 58 publications

(37 citation statements)

References 12 publications

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“…They argued that the public transport system has the benefits of reducing air pollution, fuel consumption and travel times. In [16], Le et al investigated that one of the ways to solve traffic congestion problems is to use public transportation. However, in many developing cities such as Dhaka, the capital of Bangladesh, 56% of private car owners state that they do not wish to use the public transportation because of the poor quality of service.…”

Section: Public Transportationmentioning

confidence: 99%

Determining the Optimal Restricted Driving Zone Using Genetic Algorithm in a Smart City

Azami¹,

Jan

Iranmanesh³

et al. 2020

Sensors

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Traffic control is one of the most challenging issues in metropolitan cities with growing populations and increased travel demands. Poor traffic control can result in traffic congestion and air pollution that can lead to health issues such as respiratory problems, asthma, allergies, anxiety, and stress. The traffic congestion can also result in travel delays and potential obstruction of emergency services. One of the most well-known traffic control methods is to restrict and control the access of private vehicles in predetermined regions of the city. The aim is to control the traffic load in order to maximize the citizen satisfaction given limited resources. The selection of restricted traffic regions remains a challenge because a large restricted area can reduce traffic load but with reduced citizen satisfaction as their mobility will be limited. On the other hand, a small restricted area may improve citizen satisfaction but with a reduced impact on traffic congestion or air pollution. The optimization of the restricted zone is a dynamic multi-regression problem that may require an intelligent trade-off. This paper proposes Optimal Restricted Driving Zone (ORDZ) using the Genetic Algorithm to select appropriate restricted traffic zones that can optimally control the traffic congestion and air pollution that will result in improved citizen satisfaction. ORDZ uses an augmented genetic algorithm and determinant theory to randomly generate different foursquare zones. This fitness function considers a trade-off between traffic load and citizen satisfaction. Our simulation studies show that ORDZ outperforms the current well-known methods in terms of a combined metric that considers the least traffic load and the most enhanced citizen satisfaction with over 30.6% improvements to some of the comparable methods.

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Section: Public Transportationmentioning

confidence: 99%

Determining the Optimal Restricted Driving Zone Using Genetic Algorithm in a Smart City

Azami¹,

Jan

Iranmanesh³

et al. 2020

Sensors

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show abstract

“…However, motorbike is highly exposed to the weather and other traffic. Therefore modelling mode choice should include safety and convenience for specific alternative factors [18] additional to vehicle ownership, household context (with or without children), income, travel cost, travel distance, etc. More work should be invested in developing level-of-service data for HCMC in order to capture the sensitivity of mode choice in a different time-of-day due to the different mobility of different transport modes in the mixed traffic in HCMC.…”

Section: Tour Transport Mode Choice and Number Of Activitiesmentioning

confidence: 99%

Exploring the Transferability of FEATHERS – An Activity Based Travel Demand Model – For Ho Chi Minh City, Vietnam

Linh¹,

Adnan²,

Ectors³

et al. 2020

(JTTM)

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This paper presents descriptive analyses to investigate the transferability of FEATHERS, an activity-based travel demand model developed for Flanders (Belgium), to a region in a developed country to Ho Chi Minh City (Vietnam), a metropolitan area of a developing country, using personal and household travel survey data. The transferability was tested by using indicators which represent individuals' activity and travel behaviors. The results confirm the transferability of the FEATHERS modelling structure to Ho Chi Minh City (HCMC), yet all sub-models require recalibration due to the different cultural settings between the two study areas. The differences in transport mode options, land use patterns and individuals' location choice preferences make transport mode and location choice the least transferable models.

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“…An impression that the transportation system is limited where the vehicles are being interrupted due to the narrow road width, limited vehicle parking, traffic signals and effectiveness of traffic is known as a congestion (Takyi, Poku, & Anin, 2013). Traffic congestion and non-eco-friendly transportations are being known as the main problems worldwide especially in the developing countries (Le & Trinh, 2016). The situations of traffic jammed and transportations are the important factors from the aspect of social, economic and environmental sectors that may affect the public health (Nadrian, Taghdisi, Pouyesh, Khazaee-Pool, & Babazadeh, 2019).…”

Section: Introductionmentioning

confidence: 99%

The Effect Of Traffic Congestion On Quality Of Community Life

Ponrahono¹,

Zulkifli²,

Ghazali³

2019

The European Proceedings of Multidisciplinary Sciences

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Traffic congestion is one of the most vexing urban issues. Population growth together with a great demand of transportation indirectly contribute to the increasing number of vehicles on the road that will eventually cause traffic congestion. This situation is having a considerable effect on the quality of community life in major cities, and Seri Kembangan is also not an exception. Therefore, this study attempts to determine the extent that the traffic congestion could obtain in affecting the quality of community life through daily routines and lifestyle. The study adopted on site survey strategy as a primary data through a sampling of 382 respondents. Data were collected through a valid and reliable questionnaire, consisting of four (4) sections: demographic information, mobility (opinion on traffic jam), daily routines, and lifestyle. Collected data sets were analysed using statistical analysis. The results from the analysis indicated that the traffic congestion had caused poor quality of community life. A significantly positive correlation was observed between traffic congestion and quality of community life (r=.589, p< .05). Daily routines were mainly affected by traffic congestion rather than the community lifestyle. This study also recommends the traffic planning and policy that should be given attention in order to improve the transportation system as well as to create better quality of community life.

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

Cited by 58 publications

References 12 publications

Determining the Optimal Restricted Driving Zone Using Genetic Algorithm in a Smart City

Determining the Optimal Restricted Driving Zone Using Genetic Algorithm in a Smart City

Exploring the Transferability of FEATHERS – An Activity Based Travel Demand Model – For Ho Chi Minh City, Vietnam

The Effect Of Traffic Congestion On Quality Of Community Life

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