Abstract:With the rapid development of urban rail transit systems and acceleration of self-reliant progress in science and technology in China, a series of newly emerging technologies and key equipment, represented by CBTC and FAO, have achieved complete autonomy, some of which even reached the world advanced level. As a result, independent innovation of urban rail transit systems in China has entered a new development phase characterized by “running side by side with its competitors” or even “taking the lead in race” worldwide. To better promote the independent innovation and fulfill the overall strategic leading role in science and technology, we should conduct research on independent innovation model for urban rail transit that is applicable to China’?s national condition and conforms to the characteristics of new era from the three aspects of “innovation principle, innovation path and innovation method”, and then on the basis of grasping the essential characteristics and innovation law of urban rail transit, design the extraction method for user demand that is oriented to operational scenarios and technology selection method based on maturity model, and finally put forward the independent innovation development path with Chinese characteristics.
丁树奎. 城市轨道交通自主创新的路径和方法研究[J]. 北京交通大学学报(社会科学版), 2022, 21(2): 76-85.
DING Shu-kui. Research on the Path and Methodology of Independent Innovation of Urban Rail Transit. journal6, 2022, 21(2): 76-85.
1 中共中央 国务院印发《交通强国建设纲要》[EB/OL].(2019-09-19)[2021-12-18].政府网 http://www.gov.cn/zhengce/2019-09/19/content_5431432.htm 2 城轨协会印发《中国城市轨道交通智慧城轨发展纲要》[EB/OL].(2020-03-24)[2021-12-18]. 智慧交通网 http://www.citnet.cn/index.php?m=content&c=index&a=show&catid=73&id=1438 3 中华人民共和国建设部.城市公共交通分类标准(CJJ/T 114-2007)[S].北京:中国建筑工业出版社,2007. 4 VUCHIC V R. Urban Transit: Operation, planning and economics[M]. Hoboken :Jonh Wiley & Sons, 2017. 5 BEATE M, GEREON M. Towards user-centric transport in Europe[M]. Berlin:Springer, 2019. 6 国务院办公厅关于保障城市轨道交通安全运行的意见(国办发〔2018〕13号)[EB/OL].(2018-03-23)[2021-12-18]. 政府网http://www.gov.cn/zhengce/content/2018-03/23/content_5276875.htm 7 LYONS G, HAMMOND P, MACKAY K. Reprint of: The importance of user perspective in the evolution of MaaS[J]. Transportation Research Part A, 2020, 131:20-34. 8 LEVINSON J, ASKELAND J, BECKER J, et al. Towards fully autonomous driving: Systems and algorithms.[C]// IEEE. Intelligent Vehicles Symposium(Ⅳ), 2011:163-168. 9 LI W,PAN C W,ZHANG R,et al. AADS: Augmented autonomous driving simulation using data-driven algorithms[J]. Science robotics,2019, (4). 10 CHEN S, JIAN Z, HUANG Y, et al. Autonomous driving: cognitive construction and situation understanding[J]. Science China Information Sciences, 2019,62(8):1-27. 11 KALTENHUSER B, WERDICH K, DANDL F, et al. Market development of autonomous driving in Germany[J]. Transportation Research Part A: Policy and Practice,2020, 132: 882-910. 12 FRAEDRICH E, HEINRICHS D, BAHAMONDE-BIRKE F J, et al. Autonomous driving, the built environment and policy implications[J]. Transportation research part A: policy and practice,2019, 122: 162-172. 13 QUAGLIETTA E, WANG M, GOVERDE R. A multi-state train-following model for the analysis of virtual coupling railway operations[J]. Journal of Rail Transport Planning & Management,2020, 15. 14 JA A, EQ A, RMPG A, et al. A hybrid Delphi-AHP multi-criteria analysis of Moving Block and Virtual Coupling railway signalling[J].Transportation Research Part C: Emerging Technologies,2021, 129. 15 NOLD M, CORMAN F. Dynamic train unit coupling and decoupling at cruising speed: Systematic classification, operational potentials, and research agenda[J].Journal of Rail Transport Planning & Management,2021, 18. 16 HEUTGERM. 共享创新之旅:以客户为中心的创新 DHL与华为携手创新合作促成更加融合的物流价值链[EB/OL].(2017-09-07)[2021-12-18]. https://e.huawei.com/cn/case-studies/cn/2017/201709070930 17 MULLEY C, HO C, BALBONTIN C, et al.Mobility as a service in community transport in Australia: Can it provide a sustainable future?[J] Transportation Research Part A, 2020, 131: 107-122. 18 HO C, MULLEY C, HENSHER D. Public preferences for mobility as a service: insights from stated preference surveys[J]. Transportation Research Part A, 2020, 131:70-90. 19 LIEDTKE C, WELFENS M J, ROHN H, et al. LIVING LAB: user‐driven innovation for sustainability[J]. International journal of sustainability in higher education, 2012. 20 ZHU H, ANDERSEN S T. User-driven innovation and technology-use in public health and social care: A systematic review of existing evidence[J].Journal of Innovation Management,2018, 6(2): 138-169. 21 BALDASSARRE B, CALABRETTA G, BOCKEN N, et al. Bridging sustainable business model innovation and user-driven innovation: A process for sustainable value proposition design[J]. Journal of cleaner production,2017, 147: 175-186. 22 DE MOOR K,BERTE K,DE MAREZ L, et al. User-driven innovation? Challenges of user involvement in future technology analysis[J]. Science and Public Policy,2010, 37(1): 51-61. 23 AMP A M H, NORDIN S. User-driven innovation in tourism—A review of methodologies[J]. Journal of Quality Assurance in Hospitality & Tourism,2011, 12(4): 289-315. 24 FRANKE N. User-driven innovation[M]//DODGSON M, GANN D M, PHILLIPS N. The Oxford handbook of innovation management. Oxford: Oxford University Press, 2014:83-101. 25 PEEK G J, HAGEN M V. Creating synergy in and around stations: Three strategies for adding value[J]. Transportation Research Record,2002, 1793(1): 1-6. 26 PEEK G J, BERTOLINI L, JONGE H D. Gaining insight in the development potential of station areas: A decade of node-place modelling in The Netherlands[J]. Planning, Practice & Research,2006, 21(4): 443-462. 27 UITP. The benefits of full metro automation [R/OL].(2019-09-01)[2022-01-22]. https://www.?uitp.?org/publications/the-benefits-of-full-metro-automation/. 28 ANDERSON R, CONDRY B, FINDLAY N, et al. Measuring and valuing convenience: A review of global practices and challenges from the public transport sector[R]. London: International Transport Forum, 2013. 29 GAUSEMEIER J, ALEXANDER F, OLIVER S. Scenario management: An approach to develop future potentials[J].Technological Forecasting and Social Change,1998, 59.2: 111-130. 30 KRASEMANN J T. Computational decision-support for railway traffic management and associated configuration challenges: An experimental study[J]. Journal of Rail Transport Planning & Management, 2015,5(3): 95—109. 31 NASA.Technology readiness level[R/OL].(2012-10-29)[2022-01-22]. https://www.nasa.gov/directorates/heo/scan/engineering/technology/technology_readiness_leve l. 32 宁滨, 郜春海, 李开成,等. 中国城市轨道交通全自动运行系统技术及应用[J]. 北京交通大学学报, 2019,43(1):1-6.