Possible Emission Reductions From Ride-Sourcing Travel in a Global Megacity: The Case of Beijing

Abstract

Urban transportation in China is undergoing a revolution due to ride-sourcing. The strong growth in ride-sourcing travel requires the government and the industry to adopt strategies for reducing environmental impact. Here, we address a key gap in knowledge on the emerging ride-sourcing travel model by designing a roadmap for realizing low-emission ride-sourcing drawing from an analysis of raw big trip data for Beijing. We found that adopting the most effective low-emission strategies requires joint efforts involving governance and management, enterprise operations, and consumer behavior change. With respect to issues of feasibility and effectiveness, the enterprise operation strategy, involving polices that shorten the pick-up time and increase the vehicle occupancy, is the best option, offering approximately 44% CO₂ and NOx emission reductions compared with the current situation. Promoting ride-sourcing usage among car users or potential car users could help reduce emissions attributing to less cars being manufactured (26% CO₂ and 24% NOx) but with uncertainty. To achieve low-emission ride-sourcing travel, governments, enterprises, and consumers must collaborate closely and define clear roles, responsibilities, and relationships.

Keywords

sharing mobility ride-sourcing travel big trip data low-emission strategy emission reduction

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References

Beijing Municipal Committee of Transport. (2016). The notice on the quota amount and the quota distribution of passenger car in 2016. Retrieved from http://www.bjhjyd.gov.cn/jggb/201617/1452148702459_1.html (in Chinese).

Beijing Municipal Committee of Transport. (2017). The notice on the quota amount and the quota distribution of passenger car in 2017. Retrieved from https://www.bjhjyd.gov.cn/jggb/201724/1486173783722_1.html (in Chinese).

Beijing Municipal Committee of Transport. (2018). The notice on the quota amount and the quota distribution of passenger car in 2018. Retrieved from https://www.bjhjyd.gov.cn/jggb/20171215/1513303895282_1.html (in Chinese).

Brinkman, N., Wang, M., Weber, T., & Darlington, T. (2005). Well-to-wheels analysis of advanced fuel/vehicle systems: A North American study of energy use, greenhouse gas emissions, and criteria pollutant emissions. EERE Publication and Product Library.

Campanari

Manzolini

de la Iglesia

F. G.

(2009) Energy analysis of electric vehicles using batteries or fuel cells through well-to-wheel driving cycle simulations. Journal of Power Sources 186(2): 464–477. doi:10.1016/j.jpowsour.2008.09.115.

Cartmell, S., & Carter, J. (2015). Rise of the real-time traveler: An exploration of trends and innovation in urban mobility. Retrieved from https://trid.trb.org/view.aspx?id=1371204.

China Traffic and Transportation Association (2015) China Electric Power Yearbook 2015, Beijing: China Electric Power Press.

Clewlow, R. R., & Mishra, G. S. (2017). Disruptive transportation: The adoption, utilization, and impacts of ride-hailing in the United States. Institute of Transportation Studies, Davis, Research Report UCD-ITS-RR-17-07.

Contreras, S. D., & Paz, A. (2017). The effects of ride-hailing companies on the taxicab industry in Las Vegas, Nevada. Transportation Research Part A: Policy and Practice. Advance online publication. doi:10.1016/j.tra.2017.11.008.

10.

Cramer

Krueger

A. B.

(2015) Disruptive change in the taxi business: The case of Uber. American Economic Review 106(5): 177–182.

11.

DiDi. (2017). About DiDi. Retrieved from http://www.xiaojukeji.com/news/newsdetailen?newsKey=01806a69-0eac-4d20-ae39-84224fcb3556.

12.

Gomi

Ochi

Matsuoka

(2011) A systematic quantitative backcasting on low-carbon society policy in case of Kyoto city. Technological Forecasting and Social Change 78(5): 852–871.

13.

Hampshire, R. C., Simek, C., Fabusuyi, T., Di, X., & Chen, X. (2017). Measuring the impact of an unanticipated suspension of ride-sourcing in Austin, Texas. Retrieved from https://ssrn.com/abstract=2977969.

14.

Hughes

MacKenzie

(2016) Transportation network company wait times in Greater Seattle, and relationship to socioeconomic indicators. Journal of Transport Geography 56: 36–44.

15.

Integrated energy and environment Policy Assessment model for China. (2016). About Integrated energy and environment Policy Assessment model for China. Retrieved from http://www.ipac-model.org/About%20IPAC%20Model.html.

16.

Intergovernmental Panel on Climate Change (2006) 2006 Guidelines for National Greenhouse Gas Inventories, Tokyo, Japan: Institute for Global Environmental Strategies.

17.

International Energy Agency (2011–2017) CO₂ emissions from fuel combustion, Paris, France: Author.

18.

International Energy Agency (2017) Energy technology perspectives 2017: Catalysing energy technology transformations, Paris, France: Author.

19.

Kong

W.-Z.

Q.-H.

Wang

X.-L.

(2012) Analysis on energy saving and emission reduction of electric vehicles based upon life-cycle energy efficiency. Electric Power 45(9): 64–67. (in Chinese).

20.

Machado

Schaeffer

Worrell

(2001) Energy and carbon embodied in the international trade of Brazil: An input–output approach. Ecological Economics 39(3): 409–424. doi:10.1016/S0921-8009(01)00230-0.

21.

Z.-F.

Pan

S.-Y.

Wei

Y.-M.

(2015) Potential impacts of industrial structure on energy consumption and CO₂ emission: A case study of Beijing. Journal of Cleaner Production 103: 455–462. doi:10.1016/j.jclepro.2014.06.011.

22.

Miller

R. E.

Blair

P. D.

(2009) Input-output analysis: Foundations and extensions, Cambridge, England: Cambridge University Press.

23.

Ministry of Finance. (2009). Notice on energy saving and new energy vehicles demonstration program. Retrieved from http://www.gov.cn/zwgk/2009-02/05/content_1222338.htm/ (in Chinese).

24.

Ministry of Finance. (2014). Notice on the exemption of vehicle purchase tax for new energy vehicles. Retrieved from http://www.chinatax.gov.cn/n810341/n810755/c1150779/content.html/ (in Chinese).

25.

Ministry of Finance. (2015). Fiscal support policy on promoting the development of new energy vehicles (2016–2020). Retrieved from http://jjs.mof.gov.cn/zhengwuxinxi/zhengcefagui/201504/t20150429_1224515.html/ (in Chinese).

26.

Ministry of Finance. (2016). Notice of subsidizing on charging infrastructure and promoting the new energy vehicles demonstration program during the 13th five-year plan. Retrieved from http://www.mof.gov.cn/zhengwuxinxi/caizhengwengao/wg2016/wg201603/201607/t20160705_2344732.html/ (in Chinese).

27.

Ministry of Industry and Information Technology of China. (2012). The solar photovoltaic industry in “Twelve-Five” development planning. Retrieved from http://www.miit.gov.cn/n11293472/n11293832/n13918184/14473694.html (in Chinese).

28.

Ministry of Transport. (2016). Statistical bulletin of transport industry. Retrieved from http://zizhan.mot.gov.cn/zfxxgk/bnssj/zhghs/201605/t20160506_2024006.html (in Chinese).

29.

National Bureau of Statistics of China (2008–2017) China statistical yearbook, Beijing, China: China Statistics Press.

30.

National Bureau of Statistics of China (2015) Input-output tables of China 2012, Beijing, China: China Statistics Press.

31.

National Bureau of Statistics of China (2016) China energy statistical yearbook 2015, Beijing, China: China Statistics Press.

32.

National Development and Reform Commission of China. (2013). 2013 baseline emission factors for regional power grids in China. Retrieved from http://www.ccchina.org.cn/archiver/cdmcn/UpFile/Files/Default/20130917081727162778.pdf (in Chinese).

33.

National Development and Reform Commission of China & National Energy Administration. (2016). China’s 13th five-year plan for energy. Retrieved from http://www.ndrc.gov.cn/zcfb/zcfbtz/201701/t20170117_835278.html (in Chinese).

34.

Nie

(2017) How can the taxi industry survive the tide of ridesourcing? Evidence from Shenzhen, China. Transportation Research Part C-Emerging Technologies 79: 242–256. doi:10.1016/j.trc.2017.03.017.

35.

Norman

MacLean

H. L.

Kennedy

C. A.

(2006) Comparing high and low residential density: Life-cycle analysis of energy use and greenhouse gas emissions. Journal of Urban Planning and Development 132(1): 10–21. doi:10.1061/(Asce)0733-9488(2006)132:1(10).

36.

X. M.

Zhang

X. L.

Chang

S. Y.

(2010a) Alternative fuel buses currently in use in China: Life-cycle fossil energy use, GHG emissions and policy recommendations. Energy Policy 38(1): 406–418. doi:10.1016/j.enpol.2009.09.031.

37.

Zhang

Chang

(2010b) Scenario analysis on alternative fuel/vehicle for China’s future road transport: Life-cycle energy demand and GHG emissions. Energy Policy 38(8): 3943–3956. doi:10.1016/j.enpol.2010.03.018.

38.

Rayle

Dai

Chan

Cervero

Shaheen

(2016) Just a better taxi? A survey-based comparison of taxis, transit, and ridesourcing services in San Francisco. Transport Policy 45: 168–178. doi:10.1016/j.tranpol.2015.10.004.

39.

Rayle

Shaheen

Chan

Dai

Cervero

(2014) App-based, on-demand ride services: Comparing taxi and ridesourcing trips and user characteristics in San Francisco, Berkeley, CA: University of California Transportation Center.

40.

Shaheen, S., Chan, N., & Rayle, L. (2017, Spring). Ridesourcing’s impact and role in urban transportation. Access, 51.

41.

Sun

Edara

(2015) Is getting an Uber-Lyft from a Sidecar different from hailing a taxi? Current dynamic ridesharing controversy. Transportation Research Record, (2536), 60–66. doi:10.3141/2536-08.

42.

van Vliet

O. P. R.

Faaij

A. P. C.

Turkenburg

W. C.

(2009) Fischer-Tropsch diesel production in a well-to-wheel perspective: A carbon, energy flow and cost analysis. Energy Conversion and Management 50(4): 855–876. doi:10.1016/j.enconman.2009.01.008.

43.

Wang

(2002) Fuel choices for fuel-cell vehicles: Well-to-wheels energy and emission impacts. Journal of Power Sources 112(1): 307–321. doi:10.1016/s0378-7753(02)00447-0.

44.

Weisser

(2007) A guide to life-cycle greenhouse gas (GHG) emissions from electric supply technologies. Energy 32(9): 1543–1559. doi:10.1016/j.energy.2007.01.008.

45.

Xinmin. (2015). Didi Kuaidi CEO: Within three years, pick-up time will be controlled within 3 minutes. Retrieved from http://shanghai.xinmin.cn/msrx/2015/05/23/27694092.html.

46.

Xue

Tang

Wang

Yan

Wei

Y.-M.

(2017) Environmental benefits from ridesharing: A case of Beijing. Applied Energy 191: 141–152. doi:10.1016/j.apenergy.2017.01.052.

47.

Zhou

Zhang

Ran

(2012) Study on the nuclear turbine parameters and development tendency. China Electric Power (Technology Edition) (2), 43–47. (in Chinese).