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1.     Service location grouping and pricing in transportation: Application in air cargo 

Abstract:

It is a common practice for transportation firms to group together a set of locations that they serve and price their services based on the group that the origin and destination of a service belong to rather than point-to-point. 

Proper grouping of service locations and correct pricing under this policy is essential to the financial success of firms. In this research, we develop a novel model for transportation firms to simultaneously group service locations and determine group-to-group pricing by considering the price elasticity of customers’ demand. 

We formulate the problem as a mixed-integer nonlinear programming and propose two exact solution algorithms based on decomposition principles. The performances of our algorithms are evaluated using computational experiments and results show that proposed methods are effective.

Introduction:

It is a common practice for transportation firms to group together a set of locations that they serve and price their services based on the group that the origin and destination of a service belong to rather than point-to-point. 

Body:

Proper grouping of service locations and correct pricing under this policy is essential to the financial success of firms. In this research, we develop a novel model for transportation firms to simultaneously group service locations and determine group-to-group pricing by considering the price elasticity of customers’ demand. 

Conclusion:

We formulate the problem as a mixed-integer nonlinear programming and propose two exact solution algorithms based on decomposition principles. The performances of our algorithms are evaluated using computational experiments and results show that proposed methods are effective.

Journal Name: Service location grouping and pricing in transportation: Application in air cargo 

Title                 : European Journal of Operational Research

Identity           : Volume 267, Issue 3, 16 June2018, Pages 933-934 

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Direction: under

2.     A review on air emissions assessment: Transportation

Abstact:

The greenhouse gas emissions footprint and global warming potential are widely-used for environmental sustainability studies. However, environmental sustainability is far wider than carbon emissions and climate change. This review aims to highlight the importance of considering air pollutants in optimisation studies and evaluate the limitation of the current assessments for air emissions, particularly in relation to transportation. The source of air pollutants is firstly overviewed with special attention on non-stationary sources, freight and sea transportation. The type of measurement to obtain the emission data and the available optimisation models on transport mode choice selection were then summarised. The strengths and Weaknesses' have been indicated. The identified gap includes greenhouse gas and air pollutants not being evaluated simultaneously and the interaction between the different pollutants are not being adequately considered. A better assessment framework and impact categories classification are consequently required. The summarised assessment model of transportation mode choice shows that the current viewpoint on low emissions, green or environmental sustainability options refers to carbon dioxide as a part of greenhouse gas. Attention towards a better emission assessment and management has been supported in this study through critical discussion. The next step of this work is to develop a methodology to measure greenhouse gas and air pollutants simultaneously by considering the synergistic effect and the discussed limitation. It is important for minimising the potential of footprint shifting and poor decision-making.

Introduction:

The greenhouse gas emissions footprint and global warming potential are widely-used for environmental sustainability studies. However, environmental sustainability is far wider than carbon emissions and climate change. This review aims to highlight the importance of considering air pollutants in optimisation studies and evaluate the limitation of the current assessments for air emissions, particularly in relation to transportation.

Body:

The source of air pollutants is firstly overviewed with special attention on non-stationary sources, freight and sea transportation. The type of measurement to obtain the emission data and the available optimisation models on transport mode choice selection were then summarised. The strengths and Weaknesses' have been indicated. The identified gap includes greenhouse gas and air pollutants not being evaluated simultaneously and the interaction between the different pollutants are not being adequately considered. A better assessment framework and impact categories classification are consequently required. The summarised assessment model of transportation mode choice shows that the current viewpoint on low emissions, green or environmental sustainability options refers to carbon dioxide as a part of greenhouse gas.

Conclusion:

Attention towards a better emission assessment and management has been supported in this study through critical discussion. The next step of this work is to develop a methodology to measure greenhouse gas and air pollutants simultaneously by considering the synergistic effect and the discussed limitation. It is important for minimising the potential of footprint shifting and poor decision-making.

Journal Name: Journal of Cleaner Production

Tittle           : A review on air emissions assessment: Transportation

Identity       : Volume 194, 1 September 2018, Pages 673-684

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Exemplifying: particularly

3.     Simulation of intermodal freight transportation system: a taxonomy

Abstract:

Intermodal transportation refers to multimodal chains or networks involving at least two transportation modes, freight being packed into a “container” and not being handled at intermodal-transfer terminals on its trip from its origin to its destination.

      This characterization makes intermodal transportation a multi-actor complex system involving a broad range of interacting stakeholders, decision makers, operations, and planning activities. Due to this complexity, simulation is much studied and used within the field of operations research, yielding models, methods, and tools to manage transportation activities and support the decision-making processes. The literature includes a large number of contributions on particular issues, but a broad view of the field is still missing. This paper aims to fill this gap, using a new taxonomy to structure the recent relevant literature. The proposed taxonomy thus appears a useful instrument to classify the literature and support further analyzes, identifying main findings, trends, and future paths of intermodal freight transportation systems across several dimensions (e.g., modes, geographical extensions, time horizons, and simulation objectives). 

      Introduction:

Intermodal transportation refers to multimodal chains or networks involving at least two transportation modes, freight being packed into a “container and not being handled at intermodal-transfer terminals on its trip from its origin to its destination.

      Body:

      This characterization makes intermodal transportation a multi-actor complex system involving a broad range of interacting stakeholders, decision makers, operations, and planning activities. Due to this complexity, simulation is much studied and used within the field of operations research, yielding models, methods, and tools to manage transportation activities and support the decision-making processes. The literature includes a large number of contributions on particular issues, but a broad view of the field is still missing. This paper aims to fill this gap, using a new taxonomy to structure the recent relevant literature.

     Conclusion:

     The proposed taxonomy thus appears a useful instrument to classify the literature and support further analyzes, identifying main findings, trends, and future paths of intermodal freight transportation systems across several dimensions (e.g., modes, geographical extensions, time horizons, and simulation objectives).

Journal Name: European Journal of Operational Research

Tittle               : Simulation of intermodal freight transportation system: a taxonomy

Identity           : Volume 270, Issue 2, 16 October 2018, Pages 401-418

4.     Mapping potential airplane hazards and risks using airline traffic data

Abstract:

Each year aviation disasters occur around the world, leading to significant human and economic losses, environmental damage, and property destruction. Consequently, airplane crash hazards are often taken into consideration when developing disaster and emergency management plans. This is particularly the case in urban areas. Unlike other types of hazards in urban areas such as flooding, earthquake, rail and roads, there is no hazard and risk maps for air transportation. This paper presents the results of a study conducted to develop the basis for a simple and new airplane hazard and risk mapping approach that utilizes flight path data to produce airplane hazard maps at local, regional, and national scales. We have applied this method to develop hazard maps for the Greater Toronto Area (GTA), Canada using flight paths to and from Pearson International Airport.

     Introduction:

Each year aviation disasters occur around the world, leading to significant human and economic losses, environmental damage, and property destruction.

      Body: 

      Consequently, airplane crash hazards are often taken into consideration when developing disaster and emergency management plans. This is particularly the case in urban areas. Unlike other types of hazards in urban areas such as flooding, earthquake, rail and roads, there is no hazard and risk maps for air transportation. This paper presents the results of a study conducted to develop the basis for a simple and new airplane hazard and risk mapping approach that utilizes flight path data to produce airplane hazard maps at local, regional, and national scales.

     Conclusion:

      We have applied this method to develop hazard maps for the Greater Toronto Area (GTA), Canada using flight paths to and from Pearson International Airport.

Journal Name: International Journal of Disaster Risk Reduction

Tittle               : Mapping potential airplane hazards and risks using airline traffic data

Identity           : Volume 13, September 2015, Pages 276-280

Transitional Words:
Consequence : Consequently
Exemplifying: particularly
Direction: There

5.     Environmental efficiency and energy consumption of highway transportation systems in China

Abstract:

With the rapid development of the Chinese economy and urbanization process, an increasingly large urban transport system has led to increasingly serious resource and environmental problems in China. We combined the super-efficiency slack-based measure model, including undesirable outputs, with the window data envelopment analysis model, which managed panel data, to calculate the environmental efficiencies of highway transportation systems in regions of China. This measured the level of sustainable development in China’s highway transportation systems. Furthermore, we calculated the consumption redundancy of gasoline and diesel, and the excess emissions of nitrogen oxides and particulate matter. We analyzed the correlativity among environmental efficiency, nitrogen oxide efficiency, and particulate matter efficiency to research the state of energy consumption and atmospheric pollution on the highway transportation systems in China. The results showed that the overall level of environmental efficiency of highway transportation systems in China was not optimal, with great differences between regions. Most regions had problems with excessive energy consumption and motor vehicle pollution. The Chinese government needs to control both energy consumption and pollutant emissions to manage the environmental problem of atmospheric pollution.

     Introduction:

With the rapid development of the Chinese economy and urbanization process, an increasingly large urban transport system has led to increasingly serious resource and environmental problems in China. 

      Body: 

We combined the super-efficiency slack-based measure model, including undesirable outputs, with the window data envelopment analysis model, which managed panel data, to calculate the environmental efficiencies of highway transportation systems in regions of China. This measured the level of sustainable development in China’s highway transportation systems. Furthermore, we calculated the consumption redundancy of gasoline and diesel, and the excess emissions of nitrogen oxides and particulate matter. We analyzed the correlativity among environmental efficiency, nitrogen oxide efficiency, and particulate matter efficiency to research the state of energy consumption and atmospheric pollution on the highway transportation systems in China. The results showed that the overall level of environmental efficiency of highway transportation systems in China was not optimal, with great differences between regions. 

     Conclusion:

Most regions had problems with excessive energy consumption and motor vehicle pollution. The Chinese government needs to control both energy consumption and pollutant emissions to manage the environmental problem of atmospheric pollution.

      Journal Name: International Journal of Production Economics

Tittle               : Environmental efficiency and energy consumption of highway transportation systems in China

Identity           : Volume 181, Part B, November 2016, Pages 441-449