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Sustainable Distribution Organization Based on the Supply–Demand Coordination in Large Chinese Cities

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  • Sijing Liu

    (National United Engineering Laboratory of Integrated and Intelligent Transportation, School of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, China
    Business School, Sichuan University, Chengdu 610044, China)

  • Jiuping Xu

    (Business School, Sichuan University, Chengdu 610044, China)

  • Xiaoyuan Shi

    (Business School, Sichuan University, Chengdu 610044, China)

  • Guoqi Li

    (National United Engineering Laboratory of Integrated and Intelligent Transportation, School of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, China
    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Dinglong Liu

    (National United Engineering Laboratory of Integrated and Intelligent Transportation, School of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

In large Chinese cities, inefficient logistics organization, a rapid increase in freight demand, and the spreading of city logistics space have jointly contributed to the urban problems related to goods movement, such as spatial conflicts, traffic congestion, and air pollution. To address these problems and improve urban sustainability, we proposed a new spatial organization model of supply–demand coordination. We used the data from the Third China Economic Census and online point-of-interest (POI) for China’s four direct-controlled municipalities and 13 sub-provincial cities. We found that: (1) the freight supply and demand in China’s large cities are both spatially decentralized and clustered. However, there is a significant spatial mismatch between freight supply and demand in most of the studied cities. (2) The 17 studied cities can be divided into three types—highly unbalanced, unbalanced, and balanced—in light of the spatial mismatch between freight supply and demand. (3) The capacities of road surface and logistics nodes spatially differ. The supply capacity of the road systems in Beijing, Shanghai, and Guangzhou can only accommodate 18.4%, 35.5%, and 32.2% of the demand, respectively, while the supply capacity of the logistics nodes is more than twice that of the actual demand in these cities. Based on the findings, this paper proposed a differentiated method of demand management in different areas of the cities. To achieve the goals of low-carbon and sustainable development in logistics distribution, policy makers may consider planning urban freight activities along metro lines and intercity rail lines. Thus, this paper will provide a new perspective for understanding the urban freight distribution and management in large Chinese cities.

Suggested Citation

  • Sijing Liu & Jiuping Xu & Xiaoyuan Shi & Guoqi Li & Dinglong Liu, 2018. "Sustainable Distribution Organization Based on the Supply–Demand Coordination in Large Chinese Cities," Sustainability, MDPI, vol. 10(9), pages 1-25, August.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3042-:d:166010
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    References listed on IDEAS

    as
    1. Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.
    2. Zhineng Hu & Yixin Zhang & Liming Yao, 2014. "Radial Basis Function Neural Network with Particle Swarm Optimization Algorithms for Regional Logistics Demand Prediction," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-13, November.
    3. Rivera, Liliana & Sheffi, Yossi & Welsch, Roy, 2014. "Logistics agglomeration in the US," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 222-238.
    4. Yang, Wenyue & Chen, Bi Yu & Cao, Xiaoshu & Li, Tao & Li, Peng, 2017. "The spatial characteristics and influencing factors of modal accessibility gaps: A case study for Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 60(C), pages 21-32.
    5. Jarosław Wątróbski & Krzysztof Małecki & Kinga Kijewska & Stanisław Iwan & Artur Karczmarczyk & Russell G. Thompson, 2017. "Multi-Criteria Analysis of Electric Vans for City Logistics," Sustainability, MDPI, vol. 9(8), pages 1-34, August.
    6. Francesco Russo & Antonio Comi, 2016. "Urban Freight Transport Planning towards Green Goals: Synthetic Environmental Evidence from Tested Results," Sustainability, MDPI, vol. 8(4), pages 1-18, April.
    7. Guido Perboli & Stefano Musso & Mariangela Rosano & Roberto Tadei & Moritz Godel, 2017. "Synchro-Modality and Slow Steaming: New Business Perspectives in Freight Transportation," Sustainability, MDPI, vol. 9(10), pages 1-24, October.
    8. Jean Paul Rodrigue & Laetitia Dablanc & Genevieve Giuliano, 2017. "The Freight Landscape: Convergence and Divergence in Urban Freight Distribution," Post-Print hal-01519779, HAL.
    9. Zacharias, John & Zhang, Bingjie, 2015. "Local distribution and collection for environmental and social sustainability – tricycles in central Beijing," Journal of Transport Geography, Elsevier, vol. 49(C), pages 9-15.
    10. Sakai, Takanori & Kawamura, Kazuya & Hyodo, Tetsuro, 2017. "Spatial reorganization of urban logistics system and its impacts: Case of Tokyo," Journal of Transport Geography, Elsevier, vol. 60(C), pages 110-118.
    11. Comi, Antonio & Delle Site, Paolo & Filippi, Francesco & Nuzzolo, Agostino, 2012. "Urban Freight Transport Demand Modelling: a State of the Art," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 51, pages 1-8.
    12. Hao Hu & Yuejing Ge & Dongyang Hou, 2014. "Using Web Crawler Technology for Geo-Events Analysis: A Case Study of the Huangyan Island Incident," Sustainability, MDPI, vol. 6(4), pages 1-17, April.
    13. Cidell, Julie, 2010. "Concentration and decentralization: The new geography of freight distribution in US metropolitan areas," Journal of Transport Geography, Elsevier, vol. 18(3), pages 363-371.
    14. Crainic, Teodor Gabriel & Perboli, Guido & Rosano, Mariangela, 2018. "Simulation of intermodal freight transportation systems: a taxonomy," European Journal of Operational Research, Elsevier, vol. 270(2), pages 401-418.
    15. Marcucci, Edoardo & Gatta, Valerio, 2017. "Investigating the potential for off-hour deliveries in the city of Rome: Retailers’ perceptions and stated reactions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 142-156.
    16. Dablanc, Laetitia, 2007. "Goods transport in large European cities: Difficult to organize, difficult to modernize," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(3), pages 280-285, March.
    17. Cintia Machado de Oliveira & Renata Albergaria De Mello Bandeira & George Vasconcelos Goes & Daniel Neves Schmitz Gonçalves & Márcio De Almeida D’Agosto, 2017. "Sustainable Vehicles-Based Alternatives in Last Mile Distribution of Urban Freight Transport: A Systematic Literature Review," Sustainability, MDPI, vol. 9(8), pages 1-15, July.
    18. Kumar, Indraneel & Zhalnin, Andrey & Kim, Ayoung & Beaulieu, Lionel J., 2017. "Transportation and logistics cluster competitive advantages in the U.S. regions: A cross-sectional and spatio-temporal analysis," Research in Transportation Economics, Elsevier, vol. 61(C), pages 25-36.
    19. Zhou, Guanghui & Ou, Xunmin & Zhang, Xiliang, 2013. "Development of electric vehicles use in China: A study from the perspective of life-cycle energy consumption and greenhouse gas emissions," Energy Policy, Elsevier, vol. 59(C), pages 875-884.
    20. Aljohani, Khalid & Thompson, Russell G., 2016. "Impacts of logistics sprawl on the urban environment and logistics: Taxonomy and review of literature," Journal of Transport Geography, Elsevier, vol. 57(C), pages 255-263.
    21. Giuliano, Genevieve & Kang, Sanggyun, 2018. "Spatial dynamics of the logistics industry: Evidence from California," Journal of Transport Geography, Elsevier, vol. 66(C), pages 248-258.
    22. Laetitia Dablanc & Scott Ogilvie & Anne Goodchild, 2014. "Logistics Sprawl: Differential Warehousing Development Patterns in Los Angeles and Seattle," Post-Print hal-00944130, HAL.
    23. Mahpula, Abduwali & Yang, DeGang & Kurban, Alishir & Witlox, Frank, 2013. "An overview of 20years of Chinese logistics research using a content-based analysis," Journal of Transport Geography, Elsevier, vol. 31(C), pages 30-34.
    24. Pazour, Jennifer A. & Meller, Russell D. & Pohl, Letitia M., 2010. "A model to design a national high-speed rail network for freight distribution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(3), pages 119-135, March.
    25. Arvidsson, Niklas, 2013. "The milk run revisited: A load factor paradox with economic and environmental implications for urban freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 51(C), pages 56-62.
    26. Dablanc, Laetitia & Ross, Catherine, 2012. "Atlanta: a mega logistics center in the Piedmont Atlantic Megaregion (PAM)," Journal of Transport Geography, Elsevier, vol. 24(C), pages 432-442.
    27. van den Heuvel, Frank P. & de Langen, Peter W. & van Donselaar, Karel H. & Fransoo, Jan C., 2013. "Regional logistics land allocation policies: Stimulating spatial concentration of logistics firms," Transport Policy, Elsevier, vol. 30(C), pages 275-282.
    28. Luigi Ranieri & Salvatore Digiesi & Bartolomeo Silvestri & Michele Roccotelli, 2018. "A Review of Last Mile Logistics Innovations in an Externalities Cost Reduction Vision," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    29. Maurizio Faccio & Mauro Gamberi, 2015. "New City Logistics Paradigm: From the “Last Mile” to the “Last 50 Miles” Sustainable Distribution," Sustainability, MDPI, vol. 7(11), pages 1-22, November.
    30. Stefan Gössling & Marcel Schröder & Philipp Späth & Tim Freytag, 2016. "Urban Space Distribution and Sustainable Transport," Transport Reviews, Taylor & Francis Journals, vol. 36(5), pages 659-679, September.
    31. Leise K. Oliveira & Betty Barraza & Bruno V. Bertocini & Cassiano A. Isler & Dannúbia R. Pires & Ellen C. N. Madalon & Jéssica Lima & José G. V. Vieira & Leonardo H. Meira & Lilian S. F. P. Bracarense, 2018. "An Overview of Problems and Solutions for Urban Freight Transport in Brazilian Cities," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    32. Xiaoping Zhu & Rongrong Li, 2017. "An Analysis of Decoupling and Influencing Factors of Carbon Emissions from the Transportation Sector in the Beijing-Tianjin-Hebei Area, China," Sustainability, MDPI, vol. 9(5), pages 1-19, April.
    33. Lindholm, Maria & Behrends, Sönke, 2012. "Challenges in urban freight transport planning – a review in the Baltic Sea Region," Journal of Transport Geography, Elsevier, vol. 22(C), pages 129-136.
    34. Jesus Gonzalez-Feliu & Jean-Louis Routhier & Frédéric Semet, 2014. "Sustainable urban logistics: Concepts, methods and information systems," Post-Print halshs-01056156, HAL.
    35. Sheffi, Yoss, 2012. "Logistics Clusters: Delivering Value and Driving Growth," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262018454, December.
    36. Wang, James J. & Xiao, Zuopeng, 2015. "Co-evolution between etailing and parcel express industry and its geographical imprints: The case of China," Journal of Transport Geography, Elsevier, vol. 46(C), pages 20-34.
    37. Behiri, Walid & Belmokhtar-Berraf, Sana & Chu, Chengbin, 2018. "Urban freight transport using passenger rail network: Scientific issues and quantitative analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 227-245.
    38. Vieira, José Geraldo Vidal & Fransoo, Jan C. & Carvalho, Carla Deguirmendjian, 2015. "Freight distribution in megacities: Perspectives of shippers, logistics service providers and carriers," Journal of Transport Geography, Elsevier, vol. 46(C), pages 46-54.
    39. Guido Gentile & Daniele Vigo, 2013. "Movement generation and trip distribution for freight demand modelling applied to city logistics," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 54, pages 1-6.
    40. Mesa-Arango, Rodrigo & Ukkusuri, Satish V., 2015. "Demand clustering in freight logistics networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 36-51.
    41. Lei Yang & Yiji Cai & Jiahui Hong & Yongqiang Shi & Zhiyong Zhang, 2016. "Urban Distribution Mode Selection under Low Carbon Economy—A Case Study of Guangzhou City," Sustainability, MDPI, vol. 8(7), pages 1-22, July.
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