Institutional Framework Sustainable Transportation for Iraq

Abdulwahab, Areej Muhy; Ismael, Nabil T.; Al-Nuaimi, Saad Fawzi

doi:10.1109/icoase.2018.8548874

Cited by 4 publications

(2 citation statements)

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“…The acknowledgment of intricate environmental impacts associated with transportation and logistics systems is a notable aspect, with an emphasis on proactive environmental management strategies. The paper urges a transition from mere regulatory compliance to a forward-thinking approach, identifying negative interactions, impact types, and alternative methods to control pollution and natural resource degradation, aligning with contemporary environmental standards and sustainable practices [3,4,[12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Multicast Routing Based on Data Envelopment Analysis and Markovian Decision Processes for Multimodal Transportation

Aljanabi,

Borna,

Ghanbari

et al. 2024

Applied Sciences

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In the context of Iraq’s evolving transportation landscape and the strategic implications of the Belt and Road Initiative, this study pioneers a comprehensive framework for optimizing multimodal transportation systems. The study implemented a decision-making framework for multimodal transportation, combining data envelopment analysis (DEA) efficiency scores and a Markov decision process (MDP) to optimize transportation strategies. The DEA scores captured decision-making unit (DMU) performance in various aspects, while the MDP rewards facilitated strategic mode selection, promoting efficiency, cost-effectiveness, and environmental considerations. Although our method incurs a total cost approximately 29% higher than MRMQoS, it delivers a nearly 26% reduction in delay compared to MCSTM. Despite MRMQoS yielding an 8.3% higher profit than our approach, our proposed scheme exhibits an 11.7% higher profit compared to MCSTM. In terms of computational time, our method achieves an average CPU time positioned between MCSTM and MRMQoS, with MCSTM showing about 1.6% better CPU time than our approach, while our method displays a 9.5% improvement in computational time compared to MRMQoS. Additionally, concerning CO2 emissions, the proposed model consistently outperforms other models across various network sizes. The percentage decrease in CO2 emissions achieved by the proposed model is 7.26% and 31.25% when compared against MRMQoS and MCSTM for a network size of 25, respectively.

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Section: Introductionmentioning

confidence: 99%

Multicast Routing Based on Data Envelopment Analysis and Markovian Decision Processes for Multimodal Transportation

Aljanabi,

Borna,

Ghanbari

et al. 2024

Applied Sciences

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“…• Develop dedicated and funded institutions address sustainable transport-land use policies and implementation. The transport sector in Iraq suffers from inefficiency and efficiency in its performance and development of other sectors (6).…”

mentioning

confidence: 99%

Sustainable Transportation Strategies in Baghdad City: Shaab – Selekh Intersection

Abdulwahab

Bader²

2020

DJES

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Traffic congestion is the main traffic problem in major cities, which increases the psychological and health pressures on road users and society, as well as increasing the associated economic costs such as increasing fuel consumption and increasing the loss of cars, as well as increasing polluting emissions to the environment. The intersection of Shaab-Selekh in Baghdad city is one of the most important intersections for linking the center of Baghdad in the northern provinces. It is characterized by high traffic density, especially in the peak hours of morning and evening caused by congested traffic congestion, delay in the time of the trip, causing waste of a lot of time, cost, inconvenience and reduce the level of service. The research aims to know the level of service in the intersection and propose solutions that adopt sustainable transport strategies to improve the level of service and reduce congestion traffic at the intersection

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