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Consumers' intention-based influence factors of renewable energy adoption in Pakistan: a structural equation modeling approach
In: Environmental science and pollution research: ESPR, Band 28, Heft 1, S. 432-445
ISSN: 1614-7499
Revealing long- and short-run empirical interactions among foreign direct investment, renewable power generation, and CO2 emissions in China
In: Environmental science and pollution research: ESPR, Band 26, Heft 22, S. 22220-22245
ISSN: 1614-7499
Optimal search path planning of UUV in battlefeld ambush scene
In: Defence Technology, Band 32, S. 541-552
ISSN: 2214-9147
Understanding population movement and the evolution of urban spatial patterns: An empirical study on social network fusion data
In: Land use policy: the international journal covering all aspects of land use, Band 125, S. 106454
ISSN: 0264-8377
Meta-analysis of the relationship between high quality basic education resources and housing prices
In: Land use policy: the international journal covering all aspects of land use, Band 99, S. 104843
ISSN: 0264-8377
Endosulfan promotes cell migration via PTP4A3-mediated signaling pathways in HUVECs
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 192, S. 110267
ISSN: 1090-2414
Hyperbranched polyamide–functionalized sodium alginate microsphere as a novel adsorbent for the removal of antimony(III) in wastewater
In: Environmental science and pollution research: ESPR, Band 26, Heft 26, S. 27372-27384
ISSN: 1614-7499
Incentive Mechanisms for Supplier Development in Mega Construction Projects
In: IEEE transactions on engineering management: EM ; a publication of the IEEE Engineering Management Society, Band 66, Heft 2, S. 252-265
Methods for monitoring construction off-road vehicle emissions: a critical review for identifying deficiencies and directions
In: Environmental science and pollution research: ESPR, Band 26, Heft 16, S. 15779-15794
ISSN: 1614-7499
Investigating the Potential of Ridesharing to Reduce Vehicle Emissions
In: Urban Planning, Band 2, Heft 2, S. 26-40
As urban populations grow, cities need new strategies to maintain a good standard of living while enhancing services and infrastructure development. A key area for improving city operations and spatial layout is the transportation of people and goods. While conventional transportation systems (i.e., fossil fuel based) are struggling to serve mobility needs for growing populations, they also represent serious environmental threats. Alternative-fuel vehicles can reduce emissions that contribute to local air pollution and greenhouse gases as mobility needs grow. However, even if alternative-powered vehicles were widely employed, road congestion would still increase. This paper investigates ridesharing as a mobility option to reduce emissions (carbon, particulates and ozone) while accommodating growing transportation needs and reducing overall congestion. The potential of ridesharing to reduce carbon emissions from personal vehicles in Changsha, China, is examined by reviewing mobility patterns of approximately 8,900 privately-owned vehicles over two months. Big data analytics identify ridesharing potential among these drivers by grouping vehicles by their trajectory similarity. The approach includes five steps: data preprocessing, trip recognition, feature vector creation, similarity measurement and clustering. Potential reductions in vehicle emissions through ridesharing among a specific group of drivers are calculated and discussed. While the quantitative results of this analysis are specific to the population of Changsha, they provide useful insights for the potential of ridesharing to reduce vehicle emissions and the congestion expected to grow with mobility needs. Within the study area, ridesharing has the potential to reduce total kilometers driven by about 24% assuming a maximum distance between trips less than 10 kilometers, and schedule time less than 60 minutes. For a more conservative maximum trip distance of 2 kilometers and passenger schedule time of less than 40 minutes, the reductions in traveled kilometers could translate to the equivalent of approximately 4.0 tons CO2 emission reductions daily.
Analysis on Combustion Process of Multiple Biomass Types and Mixing with Coal Based on Numerical and Experimental Studies
In: BITE-D-21-06775
SSRN
Computer Vision and Deep Learning to Manage Safety in Construction: Matching Images of Unsafe Behavior and Semantic Rules
In: IEEE transactions on engineering management: EM ; a publication of the IEEE Engineering Management Society, Band 70, Heft 12, S. 4120-4132
An Optimized-Punching Approach to Achieve Parabolic Shape by Simply Bending Flat Elastic Sheet—Fabricating Flexible and Precision Solar Parabolic Trough Concentrator
In: SETA-D-23-00767
SSRN
Enhanced Removal of Oxytetracycline from Wastewater by Fe/Ni Integrated Zif-8 Nanocomposites
In: DES-D-22-00080
SSRN