The future of mobility :: scenarios for China in 2030 /
"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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Santa Monica, CA :
RAND,
[2015]
|
| Series: | Research report (Rand Corporation) ;
RR-991-ifmo. |
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "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"--Provided by publisher. |
| Physical Description: | 1 online resource (xv, 101 pages) : color illustrations, color charts, color photographs. |
| Bibliography: | Includes bibliographical references (pages 94-99). |
| ISBN: | 9780833090935 0833090933 0833090356 9780833090355 |
Staff View
MARC
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| 100 | 1 | |a Ecola, Liisa, |e author. |0 http://id.loc.gov/authorities/names/n2009008846 | |
| 245 | 1 | 4 | |a The future of mobility : |b scenarios for China in 2030 / |c Liisa Ecola, Johanna Zmud, Kun Gu, Peter Phleps, Irene Feige. |
| 246 | 3 | |a Scenarios for China in 2030 | |
| 264 | 1 | |a Santa Monica, CA : |b RAND, |c [2015] | |
| 264 | 4 | |c ©2015 | |
| 300 | |a 1 online resource (xv, 101 pages) : |b color illustrations, color charts, color photographs. | ||
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| 505 | 0 | |a Foreword -- Preface -- Summary -- Acknowledgments -- Chapter 1: Introduction -- Study Objectives -- Creating the Scenarios -- Why the Scenarios Matter -- Repot Organization -- Chapter 2: Past Trends in Influencing Areas -- Demographic Trends -- Economic Trends -- Energey Trends -- Transportaion Supply and Constraint Trends -- Chapter 3: Key Drivers and Common Projections -- Key Drivers -- Common Projections -- Chapter 4: The Scenarios -- Background to All Scenarios -- Screnario 1: The Great Reset -- Scenario 2: Slowing but Growing -- Chapter 5: Wild-Card Scenario -- Debt Comes Due -- Chapter 6: Implications of the Scenarios -- Implications for Transportation Policy -- Implications for Transportation Decisionmaking -- Utility of the Wild-Card Scenario -- Chapter 7: Conclusions -- Appendix A: Methodology -- Appendix B: List of Experts -- Bibliography -- Figures and Tables -- Abbreviations. | |
| 520 | |a "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"--Provided by publisher. | ||
| 504 | |a Includes bibliographical references (pages 94-99). | ||
| 588 | 0 | |a Print version record and CIP data provided by publisher; resource not viewed. | |
| 650 | 0 | |a Transportation |z China |x Forecasting. | |
| 650 | 0 | |a Transportation engineering |z China. | |
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| 651 | 7 | |a China |2 fast | |
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| 700 | 1 | |a Zmud, Johanna, |e author. |0 http://id.loc.gov/authorities/names/no2008091119 | |
| 700 | 1 | |a Gu, Kun, |e author. |0 http://id.loc.gov/authorities/names/n2014184535 | |
| 700 | 1 | |a Phleps, Peter, |e author. |0 http://id.loc.gov/authorities/names/no2013101534 | |
| 700 | 1 | |a Feige, Irene, |e author. |0 http://id.loc.gov/authorities/names/no2007121617 | |
| 710 | 2 | |a Institut für Mobilitätsforschung, |e sponsoring body. |0 http://id.loc.gov/authorities/names/n2002094479 | |
| 710 | 2 | |a Rand Corporation, |e issuing body. |0 http://id.loc.gov/authorities/names/n78083407 | |
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Record in the Search Index
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| _version_ | 1829095037335502848 |
| adam_text | |
| any_adam_object | |
| author | Ecola, Liisa Zmud, Johanna Gu, Kun Phleps, Peter Feige, Irene |
| author_GND | http://id.loc.gov/authorities/names/n2009008846 http://id.loc.gov/authorities/names/no2008091119 http://id.loc.gov/authorities/names/n2014184535 http://id.loc.gov/authorities/names/no2013101534 http://id.loc.gov/authorities/names/no2007121617 |
| author_facet | Ecola, Liisa Zmud, Johanna Gu, Kun Phleps, Peter Feige, Irene |
| author_role | aut aut aut aut aut |
| author_sort | Ecola, Liisa |
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| contents | Foreword -- Preface -- Summary -- Acknowledgments -- Chapter 1: Introduction -- Study Objectives -- Creating the Scenarios -- Why the Scenarios Matter -- Repot Organization -- Chapter 2: Past Trends in Influencing Areas -- Demographic Trends -- Economic Trends -- Energey Trends -- Transportaion Supply and Constraint Trends -- Chapter 3: Key Drivers and Common Projections -- Key Drivers -- Common Projections -- Chapter 4: The Scenarios -- Background to All Scenarios -- Screnario 1: The Great Reset -- Scenario 2: Slowing but Growing -- Chapter 5: Wild-Card Scenario -- Debt Comes Due -- Chapter 6: Implications of the Scenarios -- Implications for Transportation Policy -- Implications for Transportation Decisionmaking -- Utility of the Wild-Card Scenario -- Chapter 7: Conclusions -- Appendix A: Methodology -- Appendix B: List of Experts -- Bibliography -- Figures and Tables -- Abbreviations. |
| ctrlnum | (OCoLC)911200071 |
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| dewey-raw | 388.0951/01 |
| dewey-search | 388.0951/01 |
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| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| geographic | China fast |
| geographic_facet | China |
| id | ZDB-4-EBA-ocn911200071 |
| illustrated | Illustrated |
| indexdate | 2025-04-11T08:42:39Z |
| institution | BVB |
| institution_GND | http://id.loc.gov/authorities/names/n2002094479 http://id.loc.gov/authorities/names/n78083407 |
| isbn | 9780833090935 0833090933 0833090356 9780833090355 |
| language | English |
| lccn | 2015024164 |
| oclc_num | 911200071 |
| open_access_boolean | |
| owner | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 1 online resource (xv, 101 pages) : color illustrations, color charts, color photographs. |
| psigel | ZDB-4-EBA FWS_PDA_EBA ZDB-4-EBA |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | RAND, |
| record_format | marc |
| series | Research report (Rand Corporation) ; |
| series2 | Research report ; |
| spelling | Ecola, Liisa, author. http://id.loc.gov/authorities/names/n2009008846 The future of mobility : scenarios for China in 2030 / Liisa Ecola, Johanna Zmud, Kun Gu, Peter Phleps, Irene Feige. Scenarios for China in 2030 Santa Monica, CA : RAND, [2015] ©2015 1 online resource (xv, 101 pages) : color illustrations, color charts, color photographs. text txt rdacontent computer c rdamedia online resource cr rdacarrier Research report ; RR-991-itmo Foreword -- Preface -- Summary -- Acknowledgments -- Chapter 1: Introduction -- Study Objectives -- Creating the Scenarios -- Why the Scenarios Matter -- Repot Organization -- Chapter 2: Past Trends in Influencing Areas -- Demographic Trends -- Economic Trends -- Energey Trends -- Transportaion Supply and Constraint Trends -- Chapter 3: Key Drivers and Common Projections -- Key Drivers -- Common Projections -- Chapter 4: The Scenarios -- Background to All Scenarios -- Screnario 1: The Great Reset -- Scenario 2: Slowing but Growing -- Chapter 5: Wild-Card Scenario -- Debt Comes Due -- Chapter 6: Implications of the Scenarios -- Implications for Transportation Policy -- Implications for Transportation Decisionmaking -- Utility of the Wild-Card Scenario -- Chapter 7: Conclusions -- Appendix A: Methodology -- Appendix B: List of Experts -- Bibliography -- Figures and Tables -- Abbreviations. "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"--Provided by publisher. Includes bibliographical references (pages 94-99). Print version record and CIP data provided by publisher; resource not viewed. Transportation China Forecasting. Transportation engineering China. Transport Technologie Chine. Transport Chine Prévision. HISTORY Africa West. bisacsh Transportation engineering fast Transportation Forecasting fast China fast Business & Economics. hilcc Transportation Economics. hilcc Zmud, Johanna, author. http://id.loc.gov/authorities/names/no2008091119 Gu, Kun, author. http://id.loc.gov/authorities/names/n2014184535 Phleps, Peter, author. http://id.loc.gov/authorities/names/no2013101534 Feige, Irene, author. http://id.loc.gov/authorities/names/no2007121617 Institut für Mobilitätsforschung, sponsoring body. http://id.loc.gov/authorities/names/n2002094479 Rand Corporation, issuing body. http://id.loc.gov/authorities/names/n78083407 has work: The future of mobility (Text) https://id.oclc.org/worldcat/entity/E39PCGQQJQTJ8fXjBM669kjhDy https://id.oclc.org/worldcat/ontology/hasWork Print version: Ecola, Liisa. Future of mobility. Santa Monica, CA : RAND, [2015] 9780833090355 (DLC) 2015022788 Research report (Rand Corporation) ; RR-991-ifmo. http://id.loc.gov/authorities/names/no2013072664 |
| spellingShingle | Ecola, Liisa Zmud, Johanna Gu, Kun Phleps, Peter Feige, Irene The future of mobility : scenarios for China in 2030 / Research report (Rand Corporation) ; Foreword -- Preface -- Summary -- Acknowledgments -- Chapter 1: Introduction -- Study Objectives -- Creating the Scenarios -- Why the Scenarios Matter -- Repot Organization -- Chapter 2: Past Trends in Influencing Areas -- Demographic Trends -- Economic Trends -- Energey Trends -- Transportaion Supply and Constraint Trends -- Chapter 3: Key Drivers and Common Projections -- Key Drivers -- Common Projections -- Chapter 4: The Scenarios -- Background to All Scenarios -- Screnario 1: The Great Reset -- Scenario 2: Slowing but Growing -- Chapter 5: Wild-Card Scenario -- Debt Comes Due -- Chapter 6: Implications of the Scenarios -- Implications for Transportation Policy -- Implications for Transportation Decisionmaking -- Utility of the Wild-Card Scenario -- Chapter 7: Conclusions -- Appendix A: Methodology -- Appendix B: List of Experts -- Bibliography -- Figures and Tables -- Abbreviations. Transportation China Forecasting. Transportation engineering China. Transport Technologie Chine. Transport Chine Prévision. HISTORY Africa West. bisacsh Transportation engineering fast Transportation Forecasting fast Business & Economics. hilcc Transportation Economics. hilcc |
| title | The future of mobility : scenarios for China in 2030 / |
| title_alt | Scenarios for China in 2030 |
| title_auth | The future of mobility : scenarios for China in 2030 / |
| title_exact_search | The future of mobility : scenarios for China in 2030 / |
| title_full | The future of mobility : scenarios for China in 2030 / Liisa Ecola, Johanna Zmud, Kun Gu, Peter Phleps, Irene Feige. |
| title_fullStr | The future of mobility : scenarios for China in 2030 / Liisa Ecola, Johanna Zmud, Kun Gu, Peter Phleps, Irene Feige. |
| title_full_unstemmed | The future of mobility : scenarios for China in 2030 / Liisa Ecola, Johanna Zmud, Kun Gu, Peter Phleps, Irene Feige. |
| title_short | The future of mobility : |
| title_sort | future of mobility scenarios for china in 2030 |
| title_sub | scenarios for China in 2030 / |
| topic | Transportation China Forecasting. Transportation engineering China. Transport Technologie Chine. Transport Chine Prévision. HISTORY Africa West. bisacsh Transportation engineering fast Transportation Forecasting fast Business & Economics. hilcc Transportation Economics. hilcc |
| topic_facet | Transportation China Forecasting. Transportation engineering China. Transport Technologie Chine. Transport Chine Prévision. HISTORY Africa West. Transportation engineering Transportation Forecasting China Business & Economics. Transportation Economics. |
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