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[null,"1.","Record Nr.",null,"UNINA9910460558203321"]
[null,null,"Titolo",null,"Financing transit-oriented development with land values : adapting development-based land value capture in developing countries / / Hiroaki Suzuki [and three others]"]
[null,null,"Pubbl/distr/stampa",null,"Washington, District of Columbia : , : World Bank Group, , 2015"]
[{"$nulls":4},"©2015"]
[null,null,"ISBN",null,"1-4648-0150-9"]
[null,null,"Descrizione fisica",null,"1 online resource (267 p.)"]
[null,null,"Collana",null,"Urban Development Series"]
[null,null,"Disciplina",null,"336.22091724"]
[null,null,"Soggetti",null,"Land value taxation - Developing countries"]
[{"$nulls":4},"Tax increment financing"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"\"\"Cover\"\"; \"\"Contents\"\"; \"\"Acknowledgments\"\"; \"\"About the Authors\"\"; \"\"Abbreviations\"\"; \"\"Glossary\"\";  \"\"Message to City Leaders\"\"; \"\"Overview\"\"; \"\"Car-Dependent Urban Development in the Developing World\"\"; \"\"Development-Based Land Value Capture as a Strategic Apparatus for Transit Financing and Urban Planning\"\"; \"\"Global Good Practices for Development-Based LVC\"\"; \"\"Critical Factors for Success in Developing Countries\"\"; \"\"Challenges and Risks\"\""]
[{"$nulls":4},"\"\"Roadmap for Development-Based LVC Implementation through a Gradual Approach\"\"\"\"What International Development Financial Institutions Can Do\"\"; \"\"Conclusion\"\"; \"\"References\"\"; \"\"Part I: Introduction\"\"; \"\"1 Development-Based Land Value Capture for Financing Transit-Oriented Development\"\"; \"\"Car-Dependent Urban Development in the Developing World\"\"; \"\"Development-Based LVC as a Strategic Financing and Planning Apparatus for Transit and TOD-Related Investments\"\"; \"\"Objectives, Methods, and Readership\"\"; \"\"Development Finance Context\"\"; \"\"Structure of the Book\"\"; \"\"Notes\"\"; \"\"References\"\""]
[{"$nulls":4},"\"\"2 Theory of Land Value Capture and Its Instruments\"\"\"\"Rationale for Land Value Capture (LVC)\"\"; \"\"Transit-Induced Land Capitalization\"\"; \"\"Situating LVC in Urban Transport Finance\"\"; \"\"Types of LVC Instruments\"\"; \"\"Conclusion\"\"; \"\"Notes\"\"; \"\"References\"\"; \"\"Part II: Lessons Learned from Global Development-Based Land Value Capture "]
[{"$nulls":4},"Practices\"\"; \"\"3 Rail Plus Property Program, Hong Kong SAR, China\"\"; \"\"Urban Development Context\"\"; \"\"Regulatory and Institutional Framework\"\"; \"\"Land Value Capture (LVC)\"\"; \"\"Development Cases\"\"; \"\"Debate over Land Value Capture and Housing Affordability\"\""]
[{"$nulls":4},"\"\"Conclusion\"\"\"\"Note\"\"; \"\"References\"\"; \"\"4 Inclusive Land Value Capture Schemes, Integrating and Regenerating the World's Largest Metropolis: Tokyo, Japan\"\"; \"\"Urban Development Context\"\"; \"\"Regulatory and Institutional Framework\"\"; \"\"LVC\"\"; \"\"Four Development Cases\"\"; \"\"Conclusion\"\"; \"\"Note\"\"; \"\"References\"\"; \"\"5 Development-Based LVC Practices in North America and Europe: New York City and Washington, DC, United States;  and London, United Kingdom\"\"; \"\"Context: The United States\"\"; \"\"New York City: Evolution of Transfer of Development Rights in Manhattan\"\""]
[{"$nulls":4},"\"\"Washington, DC: WMAT's Entrepreneurial Joint Development Program\"\"\"\"Context: Europe\"\"; \"\"London: Regeneration of King's Cross Lands\"\"; \"\"Conclusion\"\"; \"\"Notes\"\"; \"\"References\"\"; \"\"Part III: Emerging Development-Based Land Value Capture Practices In Developing Countries\"\"; \"\"6 Financing a Metro with Development Rights of Public Land, Nanchang, China\"\"; \"\"Urban Development Context\"\"; \"\"Metro Project\"\"; \"\"Regulatory and Institutional Frameworks\"\"; \"\"Nanchang Municipal Finance\"\"; \"\"Development Cases\"\"; \"\"Conclusion\"\"; \"\"Notes\"\"; \"\"References\"\""]
[{"$nulls":4},"\"\"7 A Tale of Two Metro Cities: Delhi and Hyderabad, India\"\""]
[null,null,null,"Sommario/riassunto","Cities in developing countries are experiencing unprecedented urban growth. Unfortunately, this is often accompanied by the negative impacts of sprawl as a result of rapid motorization such as congestion, air pollution, greenhouse gas emissions, inefficient use of energy and time, and unequal accessibility. As these cities are often under severe fiscal constraints, they face great challenges in financing capital-intensive mass transit systems to reverse the course of these negative trends. Development-based land value capture (DBLVC) financing schemes being practiced in Asian megacities like"]
[null,"2.","Record Nr.",null,"UNINA9910557346903321"]
[null,null,"Autore",null,"Deschrijver Dirk"]
[null,null,"Titolo",null,"Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization"]
[null,null,"Pubbl/distr/stampa",null,"Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021"]
[null,null,"Descrizione fisica",null,"1 online resource (201 p.)"]
[null,null,"Soggetti",null,"Technology: general issues"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","In October 2014, the EU leaders agreed upon three key targets for the year 2030: a reduction by at least 40% in greenhouse gas emissions, savings of at least 27% for renewable energy, and improvements by at least 27% in energy efficiency. The increase in computational power combined with advanced modeling and simulation tools makes it possible to derive new technological solutions that can enhance the energy efficiency of systems and that can reduce the ecological footprint. This book compiles 10 novel research works from a Special Issue that was focused on data-driven approaches, machine learning, or artificial intelligence for the modeling, simulation, and optimization of energy systems."]