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Methode zur Einbindung realer Nutzerprofile in die ökologische und ökonomische Bewertung von Fahrzeugkonzepten

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Book Series: Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik ISSN: 18696058 ISBN: 9783731508083 Year: Volume: 63 Pages: VII, 199 p. DOI: 10.5445/KSP/1000083924 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-28 18:37:01
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The book at hand shows possibilities to derive requirements from customers’ usage behaviour based on recorded vehicle data. The focus lies on the derivation of mobility and driving profiles for a computer aided calculation of the fuel consumption. On this basis, the calculated fuel consumption is integrated into the creation of life cycle assessments and total cost of ownership calculations in order to evaluate vehicle concepts.

Modelling and Analysis of Sustainability Related Issues in New Era

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ISBN: 9783039210244 9783039210251 Year: Pages: 350 DOI: 10.3390/books978-3-03921-025-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-06-26 08:44:06
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The purpose of this Special Issue is to investigate topics related to sustainability issues in the new era, especially in Industry 4.0 or other new manufacturing environments. Under Industry 4.0, there have been great changes with respect to production processes, production planning and control, quality assurance, internal control, cost determination, and other management issues. Moreover, it is expected that Industry 4.0 can create positive sustainability impacts along the whole value chain. There are three pillars of sustainability, including environmental sustainability, economic sustainability, and social sustainability. This Special Issue collects 15 sustainability-related papers from various industries that use various methods or models, such as mathematical programming, activity-based costing (ABC), material flow cost accounting, fuel consumption model, artificial intelligence (AI)-based fusion model, multi-attribute decision model (MADM), and so on. These papers are related to carbon emissions, carbon tax, Industry 4.0, economic sustainability, corporate social responsibility (CSR), etc. The research objects come from China, Taiwan, Thailand, Oman, Cyprus, Germany, Austria, and Portugal. Although the research presented in this Special Issue is not exhaustive, this Special Issue provides abundant, significant research related to environmental, economic, and social sustainability. Nevertheless, there still are many research topics that require our attention to solve problems of sustainability.

Keywords

carbon tax policy --- return policy --- carbon reduction --- e-commerce platform --- carbon emissions --- cap & trade --- green production --- footwear industry --- activity-based costing (ABC) --- activity-based costing (ABC) --- industry 4.0 --- integrated mathematical programming --- product-mix decision --- theory of constraints (TOC) --- carbon tax --- small and medium enterprises --- OEE --- OECD --- manufacturing sustainability --- time study --- Industry 4.0 --- material handling systems --- agent-based control architecture --- Activity-Based Costing (ABC) --- Industry 4.0 --- tire industry --- carbon emission --- carbon tax --- mathematical programming --- sustainability --- sustainability performance --- corporate social responsibility (CSR) --- internal control --- multi-attribute decision model (MADM) --- decision making trial and evaluation laboratory (DEMATEL) --- DANP (DEMATEL based ANP) --- VIKOR --- fuel consumption --- sustainability --- active suspension --- PID controller --- white noise --- colored noise --- long- and short-term --- greenhouse gas --- LS-ARIMAXi-ECM model --- sustainability --- economic growth --- exogenous variables --- CO2 emissions --- family business --- succession plan --- corporate characteristics --- family capital --- niche inheritance --- multi-attribute decision model (MADM) --- social sustainability --- artificial intelligence --- corporate social responsibility --- decision making --- firm value --- Activity-Based Costing (ABC) --- Industry 4.0 --- aluminum-alloy wheel industry --- mathematical programming --- Activity-Based Standard Costing (ABSC) --- Manufacturing Execution System (MES) --- Activity-Based Costing (ABC) --- Enterprise Resource Planning (ERP) --- Industry 4.0 --- industrial internet of things --- digital transformation --- digital platforms --- qualitative-empirical study --- small and medium-sized enterprises --- sustainable development --- energy efficiency --- electrical appliances --- life cycle cost analysis (LCCA) --- multi-attribute value theory (MAVT) --- multi-objective optimization --- NSGAII --- sustainability --- ISO14051 --- material flow cost accounting --- n/a

Human Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods

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ISBN: 9783039211838 9783039211845 Year: Pages: 382 DOI: 10.3390/books978-3-03921-184-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General)
Added to DOAB on : 2019-08-28 11:21:27
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Environmental health researchers have long used concepts like the neighborhood effect to assessing people’s exposure to environmental influences and the associated health impact. However, these are static notions that ignore people’s daily mobility at various spatial and temporal scales (e.g., daily travel, migratory movements, and movements over the life course) and the influence of neighborhood contexts outside their residential neighborhoods. Recent studies have started to incorporate human mobility, non-residential neighborhoods, and the temporality of exposures through collecting and using data from GPS, accelerometers, mobile phones, various types of sensors, and social media. Innovative approaches and methods have been developed. This Special Issue aims to showcase studies that use new approaches, methods, and data to examine the role of human mobility and non-residential contexts on human health behaviors and outcomes. It includes 21 articles that cover a wide range of topics, including individual exposure to air pollution, exposure and access to green spaces, spatial access to healthcare services, environmental influences on physical activity, food environmental and diet behavior, exposure to noise and its impact on mental health, and broader methodological issues such as the uncertain geographic context problem (UGCoP) and the neighborhood effect averaging problem (NEAP). This collection will be a valuable reference for scholars and students interested in recent advances in the concepts and methods in environmental health and health geography.

Keywords

obesity --- built environment --- activity space --- regression analysis --- UGCoP --- foodscape exposure --- activity space --- commuting route --- space-time kernel density estimation --- time-weighted exposure --- Beijing --- cycling for transportation --- bike paths --- train stations --- subway stations --- adults --- Brazil --- fuel consumption --- emissions estimation --- GPS trace --- big data --- air pollution exposure --- human mobility --- mobile phone data --- dynamic assessment --- GIS --- GPS --- activity space --- environmental exposure --- the uncertain geographic context problem --- noise pollution --- mental disorders --- built environment --- multilevel model --- China --- PM concentrations --- crop residue burning --- correlation analysis --- interannual and seasonal variations --- China --- the neighborhood effect averaging problem (NEAP) --- human mobility --- environmental exposure --- the uncertain geographic context problem --- UGCoP --- car ownership --- car use --- built environment --- spatial autocorrelation --- multilevel Bayesian model --- geographical accessibility --- Healthcare services --- GIS --- E2SFCA --- CHAS --- Singapore --- environmental health --- food environment --- environmental context cube --- environmental context exposure index --- the uncertain geographic context problem (UGCoP) --- GPS --- GIS --- healthcare accessibility --- catchment areas --- access probability --- taxi GPS trajectories --- E2SFCA --- greenspace exposure --- health --- human mobility --- physical activity --- structural equation modeling --- Guangzhou --- healthcare accessibility --- population demand --- geographic impedance --- the elderly --- urban planning --- 3SFCA --- real-time traffic --- crowdedness --- well-being experience --- long-distance walking --- collective leisure activity --- walking event --- urban leisure --- missing data --- spatial data --- imputation --- geographic imputation --- activity space --- ecological momentary assessment --- EMA --- walking --- active travel --- ageing --- physical environment --- personal projects --- activity space --- Public Participatory GIS (PPGIS) --- spatial accessibility --- multimodal network --- primary healthcare --- China --- 2009 influenza A(H1N1) pandemic --- transport modes --- rail travel --- spatial spread --- quantile regression --- green space --- road traffic accidents --- cognitive aging --- activity space --- life-course perspectives --- environmental exposures

Plug-in Hybrid Electric Vehicle (PHEV)

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ISBN: 9783039214532 9783039214549 Year: Pages: 230 DOI: 10.3390/books978-3-03921-454-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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Climate change, urban air quality, and dependency on crude oil are important societal challenges. In the transportation sector especially, clean and energy efficient technologies must be developed. Electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) have gained a growing interest in the vehicle industry. Nowadays, the commercialization of EVs and PHEVs has been possible in different applications (i.e., light duty, medium duty, and heavy duty vehicles) thanks to the advances in energy storage systems, power electronics converters (including DC/DC converters, DC/AC inverters, and battery charging systems), electric machines, and energy efficient power flow control strategies. This book is based on the Special Issue of the journal Applied Sciences on “Plug-In Hybrid Electric Vehicles (PHEVs)”. This collection of research articles includes topics such as novel propulsion systems, emerging power electronics and their control algorithms, emerging electric machines and control techniques, energy storage systems, including BMS, and efficient energy management strategies for hybrid propulsion, vehicle-to-grid (V2G), vehicle-to-home (V2H), grid-to-vehicle (G2V) technologies, and wireless power transfer (WPT) systems.

Keywords

battery power --- convex optimization --- dynamic programming --- engine-on power --- plug-in hybrid electric vehicle --- simulated annealing --- electric vehicle --- open-end winding --- dual inverter --- voltage vector distribution --- power sharing --- energy management --- range-extender --- CO2 --- air quality --- mobility needs --- LCA --- Paris Agreement --- hybrid energy storage system --- lithium-ion battery --- lithium-ion capacitor --- lifetime model --- power distribution --- state of health estimation --- adaptive neuron-fuzzy inference system (ANFIS) --- group method of data handling (GMDH) --- artificial neural network (ANN) --- electric vehicles (EVs) --- capacity degradation --- lithium-ion battery --- time-delay input --- interleaved multiport converte --- multi-objective genetic algorithm --- hybrid electric vehicles --- losses model --- wide bandgap (WBG) technologies --- Energy Storage systems --- LCA --- Well-to-Wheel --- electric vehicle --- plug-in hybrid --- electricity mix --- consequential --- attributional --- marginal --- system modelling --- energy system --- meta-analysis --- parallel hybrid electric vehicle --- regenerative braking --- fuel consumption characteristics --- energy efficiency --- state of charge --- lithium polymer battery --- electric vehicle --- Plugin Hybrid electric vehicle --- Li-ion battery --- modelling --- measurements --- state of charge --- strong track filter --- modified one-state hysteresis model --- Li(Ni1/3Co1/3Mn1/3)O2 battery --- energy management strategy --- Markov decision process (MDP) --- plug-in hybrid electric vehicles (PHEVs) --- Q-learning (QL) --- reinforcement learning (RL) --- novel propulsion systems --- emerging power electronics --- including wide bandgap (WBG) technology --- emerging electric machines --- efficient energy management strategies for hybrid propulsion systems --- energy storage systems --- life-cycle assessment (LCA)

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