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[null,"1.","Record Nr.",null,"UNINA9910220142303321"]
[null,null,"Autore",null,"Ecola Liisa"]
[null,null,"Titolo",null,"The future of mobility : scenarios for China in 2030  / / Liisa Ecola, Johanna Zmud, Kun Gu, Peter Phleps, Irene Feige"]
[null,null,"Pubbl/distr/stampa",null,"Santa Monica, California : , : RAND Corporation, , 2015"]
[{"$nulls":4},"©2015"]
[null,null,"ISBN",null,"0-8330-9093-3"]
[null,null,"Descrizione fisica",null,"1 online resource (119 p.)"]
[null,null,"Disciplina",null,"388.0951 /01"]
[null,null,"Soggetti",null,"Transportation - China - Forecasting"]
[{"$nulls":4},"Transportation engineering - China"]
[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."]
[null,null,"Nota di contenuto",null,"Cover; Title Page; Copyright; Foreword; Preface; Contents; Summary Research Question; Methodology; The Scenarios; Implications for Decisionmakers; Conclusions; Acknowledgments; Chapter One: Introduction; Study Objectives; Creating the Scenarios; Why the Scenarios Matter; Report Organization; Chapter Two: Past Trends in Influencing Areas; Demographic Trends; Economic Trends; Energy Trends; Transportation Supply and Constraint Trends; Chapter Three: Key Drivers and Common Projections; Key Drivers; Common Projections; Chapter Four: The Scenarios; Background to All Scenarios"]
[{"$nulls":4},"Scenario 1: The Great ResetScenario 2: Slowing but Growing; Chapter Five: Wild-Card Scenario; Debt Comes Due; Chapter Six: Implications of the Scenarios; Implications for Transportation Policy; Implications for Transportation Decisionmaking; Utility of the Wild-Card Scenario; Chapter Seven: Conclusions; Appendix A: Methodology; Appendix B: List of Experts; Bibliography; Figures and Tables; Abbreviations"]
[null,null,null,"Sommario/riassunto","Researchers developed two scenarios to envision the future of mobility in China in 2030. Economic growth, the presence of constraints on vehicle ownership and driving, and environmental conditions differentiate the scenarios. By making potential long-term mobility futures more vivid, the team sought to help decisionmakers at different levels of government and in the private sector better anticipate and prepare for change."]