The objective of this project was to develop a system for environmental information management and decision support for transportation plans, programs, projects, operations, and maintenance activities. This document contains the following appendixes to the implementation handbook: (B) Survey Results; (C) Use Cases; (D) Best Practices; (E) Laws and Regulations; and (F) Definitions of Entities.

This report describes the transportation planning process and discusses where and how environmental factors can be addressed effectively at the state and metropolitan levels. This report should be especially useful to federal, state department of transportation (DOT), metropolitan planning organization (MPO), and local transportation planners, as well as other practitioners concerned with addressing environmental factors within transportation systems planning, priority programming, and project development planning leading to implementation. The research focused on environmental issues within the long-range transportation planning processes of state DOTs and MPOs and included the following: (1) a comprehensive review of recent literature; (2) a survey of approaches employed by state DOTs, MPOs, and environmental regulatory agencies; (3) a review of federal regulations and guidance on environmental factors; and (4) case studies to synthesize current practice in environmental planning.

As national and international concern over sustainable resources becomes more prevalent, the need for decision support systems (DSS) increases. The applicable uses of a successful system can assist in the sustainability of resources, as well as the efficiency and management of the agri-environment industry. Decision Support Systems in Agriculture, Food and the Environment: Trends, Applications and Advances presents the development of DSS for managing agricultural and environmental systems, focusing on the exposition of innovative methodologies, from web-mobile systems to artificial intelligence and knowledge-based DSS, as well as their applications in every aspect from harvest planning to international food production and land management. This book provides an in depth look into the growing importance of DSS in agriculture.

This book provides a comprehensive examination of the various aspects of SDSS evolution, components, architecture, and implementation. Integrating research from a variety of disciplines, it supplies a complete overview of SDSS technologies and their application. This groundbreaking reference provides thorough coverage of the roots of SDSS. It explains the core principles of SDSS, how to use them in various decision making contexts, and how to design and develop them using readily available enabling technologies and commercial tools.

Decision Support Systems for Risk-Based Management of Contaminated Sites addresses decision making in environmental risk management for contaminated sites, focusing on the potential role of decision support systems in informing the management of chemical pollutants and their effects. Considering the environmental relevance and the financial impacts of contaminated sites all over the post-industrialized countries and the complexity of decision making in environmental risk management, decision support systems can be used by decision makers in order to have a more structured analysis of a problem at hand and define possible options of intervention to solve the problem. Accordingly, the book provides an analysis of the main steps and tools for the development of decision support systems, namely: environmental risk assessment, decision analysis, spatial analysis and geographic information system, indicators and endpoints. Sections are dedicated to the review of decision support systems for contaminated land management and for inland and coastal waters management. Both include discussions of management problem formulation and of the application of specific decision support systems. This book is a valuable support for environmental risk managers and for decision makers involved in a sustainable management of contaminated sites, including contaminated lands, river basins and coastal lagoons. Furthermore, it is a basic tool for the environmental scientists who gather data and perform assessments to support decisions, developers of decision support systems, students of environmental science and members of the public who wish to understand the assessment science that supports remedial decisions.

"Details the legal, organizational, hierarchical, and environmental components of pollution prevention and waste reduction. Illustrates fundamental concepts of pollution prevention, including life-cycle planning and analysis, risk-based pollution control, and industrial ecology."

Environmental information systems (EIS) are concerned with the management of data about the soil, the water, the air, and the species in the world around us. This first textbook on the topic gives a conceptual framework for EIS by structuring the data flow into 4 phases: data capture, storage, analysis, and metadata management. This flow corresponds to a complex aggregation process gradually transforming the incoming raw data into concise documents suitable for high-level decision support. All relevant concepts are covered, including statistical classification, data fusion, uncertainty management, knowledge based systems, GIS, spatial databases, multidimensional access methods, object-oriented databases, simulation models, and Internet-based information management. Several case studies present EIS in practice.

This book constitutes the refereed proceedings of the 6th International Conference on Computational Logistics, ICCL 2015, held in Delft, The Netherlands, in September 2015. The 50 papers presented in this volume were carefully reviewed and selected for inclusion in the book. They are organized in topical sections entitled: transport over ground, transport over water, international coordination within a system, external coordination among systems.

Manufacturers are increasingly, under pressure from their major stakeholders to integrate environmental issues in the design and management of their products. These stakeholders include customer, regulators, employees, communities, and interest groups who have a common stake in protecting the earth from pollution and in limiting the exploitation of earth's limited natural resources. Manufacturers recognize that being environmentally responsible also offers competitive advantage to the firm. Hence the Handbook of Environmentally Conscious Manufacturing is written as a state-of-the-art reference to environmentally conscious manufacturing (ECM). The chapter authors were carefully selected. All the chapter authors have done extensive research and / or practice work in the field of ECM. The Handbook covers all the major topics in Environmentally Conscious Manufacturing. There are specific chapters to deal with sustainable manufacturing, recycling, eco-labelling, life cycle assessment, and ISO 14000 series of standards, as well as decision-making aspects of Environmentally Conscious Manufacturing. Decision-oriented topics on supply chain, decision models, quality initiative, environmental costing and decision support systems are also covered. The influence of ECM on marketing imperative is also covered. The Handbook is the most comprehensive treatment of Environmentally Conscious Manufacturing available to-date. It is the definitive, state-of-the-art reference to ECM and its applications to today's manufacturing firms.