Data Envelopment Analysis of Urban Development Efficiency from a Traffic Congestion Perspective

Sun, Chao; Lu, Jian

doi:10.1061/jupddm.upeng-4274

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…These connections highlight that freight operators face the wastes of efficiency and increased expenses due to recurrent and ubiquitous issues of traffic congestion. It therefore supports the research of Sun, and Lu, [34] that fuel consumption, maintenance cost, and delays that are largely characteristic of traffic congestion in urban areas put a toll on the running costs for freight transportation. As well, researches done by Shafiei, et al, [35] prove that the direct impact of road congestion on the economic performance of freight operations is substantial, leading to an increase in the cost structure due to overall vehicle idling time and associated gas wastage.…”

Section: Conclusion and Recommenda-tionssupporting

confidence: 81%

An Examination of the Relationship between Traffic Congestion and Vehicle Operating Cost in Lagos State

Olaniyi,

Emmanuel

2024

AJARR

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This study investigates the association between traffic congestion and vehicle operating costs for freight operators in Lagos State Nigeria. It showcases the importance of transport for economic activities and the role of road freight transport in improving logistics efficiency. The research is focused on the traffic congestion adverse effect on freight transportation operational costs including fuel consumption and maintenance cost. The growing population as well as vehicle numbers in cities lead to traffic jams that cause costs to increase for the freight transport sector. Existing studies have addressed congestion-related costs from a variety of perspectives, identifying considerable financial impairments for businesses. Nevertheless, there is no research to document the effect that congestion has on operating expenses for motor vehicles. The research used a purposive sampling technique to select 353 respondents from registered haulage companies in Lagos State. Survey and interview methods were used in the study while data was analyzed using Pearson's Product-Moment Correlation Coefficient, showing a notable and negative relationship between vehicle operating costs and traffic congestion. The findings demonstrate the costs incurred through efficiency losses and heightened expenses by freight operators due to traffic congestion. The study gives recommendations that policymakers and stakeholders need to be strategic in countering congestion and reducing the operational burden on freight operators, which can be useful data in research on transport challenges in urban areas with the view of improving sustainable transport system planning.

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Section: Conclusion and Recommenda-tionssupporting

confidence: 81%

An Examination of the Relationship between Traffic Congestion and Vehicle Operating Cost in Lagos State

Olaniyi,

Emmanuel

2024

AJARR

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“…Also, in [16] developed a DL-based big data analytics model for three-dimensional composition in landscape architecture education. Similarly, in [17] proposed a model for three-dimensional composition in urban planning education.…”

Section: Related Workmentioning

confidence: 99%

Deep Learning-Based Big Data Analytics Model Based on Teaching Reforms in Three-Dimensional Composition

Cao,

Liu

2023

IJRITCC

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With the development of online education and big data analysis, new teaching models and methods have emerged. The integration of online and offline teaching modes based on big data analysis has become an effective way to promote teaching reform and practice in the field of three-dimensional composition. It is important to incorporate teaching reform into the teaching of three-dimensional composition to improve the quality of education and better prepare students for their future careers. This paper evaluated the contribution of teaching reform to the improvement of student performance. This paper designed a Deep Learning (DL) big data analytics model for data clustering and classification. The student performance is monitored for both online teaching and offline teaching classes. The collected data is clustered with the directional clustering process for the computation of feature space. With the estimated feature space value Hidden Markov Model (HMM) is implemented for the estimation of statistical data derived from the feature spaces. The extracted data were applied over the RESENT- 50 model for the classification of students’ performance. The data analysis with DL model stated that student performance in offline teaching is more significant than offline teaching in 3-dimensional aspects.

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“…However, these findings are based on specific research scenarios and contexts [38][39][40]. Additionally, the level of urban traffic congestion and the completeness of the public transportation system, as well as geographical factors such as topography and urban layout, have a significant impact on residents' choice of travel mode [41,42].…”

Section: Introductionmentioning

confidence: 99%

Impact of Built Environment on Carbon Emissions from Cross-District Mobility: A Social Network Analysis Based on Private Vehicle Trajectory Big Data

Chen

Xiao

2023

Sustainability

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The realization of the “double carbon” goals and the development of green transportation require a focused approach to reducing carbon emissions from private cars. Starting from the perspective of social network analysis, this paper constructs the carbon emission network of private car cross-district mobility based on vehicle trajectory big data in Guangzhou and Foshan and analyzes its spatial network characteristics. Next, the MRQAP model is constructed to examine the impact of built environment factors on carbon emissions from private cars. Furthermore, the paper explores the moderating effect of private car mobility in the central urban area. The results indicate the following: (1) Private vehicle cross-district mobility in the Guangzhou and Foshan region are closely interconnected and exhibit a phenomenon of central clustering. (2) Both population density and the number of road intersections have a positive relationship with private car carbon emissions, and after a series of robustness tests, the results are still valid. (3) Private vehicle mobility in central urban areas contributes to an increase in carbon emissions, and the positive impact is reinforced by population density, while road intersections and private car mobility in central urban areas have a substitutive effect on private car carbon emissions.

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Data Envelopment Analysis of Urban Development Efficiency from a Traffic Congestion Perspective

Cited by 4 publications

References 20 publications

An Examination of the Relationship between Traffic Congestion and Vehicle Operating Cost in Lagos State

An Examination of the Relationship between Traffic Congestion and Vehicle Operating Cost in Lagos State

Deep Learning-Based Big Data Analytics Model Based on Teaching Reforms in Three-Dimensional Composition

Impact of Built Environment on Carbon Emissions from Cross-District Mobility: A Social Network Analysis Based on Private Vehicle Trajectory Big Data

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