Impact of bicycle traffic on the macroscopic fundamental diagram: some empirical findings in Shanghai

References

• Allen, D. , J. Hummer , N. Rouphail , and J. Milazzo . 1998. “Effect of Bicycles on Capacity of Signalized Intersections.” Transportation Research Record: Journal of the Transportation Research Board 1646: 87–95.
   Google Scholar
• Ambühl, L. , A. Loder , M. Bliemer , M. Menendez , and K. W. Axhausen . 2018. “Introducing a re-Sampling Methodology for the Estimation of Empirical Macroscopic Fundamental Diagrams.” Transportation Research Record: Journal of the Transportation Research Board 2672 (20): 239–248.
   Web of Science ®Google Scholar
• Ambühl, L. , A. Loder , M. Bliemer , M. Menendez , and K. W. Axhausen . 2020. “A Functional Form with a Physical Meaning for the Macroscopic Fundamental Diagram.” Transportation Research Part B:Methodological 137: 119–132.
   Web of Science ®Google Scholar
• Ambühl, L. , A. Loder , M. Menendez , and K. W. Axhausen . 2017. “Empirical Macroscopic Fundamental Diagrams: Insights From Loop Detector and Floating car Data.” Paper presented at the 96th Annual Meeting of the Transportation Research Board, Washington, D.C., Jan 2017.
   Google Scholar
• Ambühl, L. , and M. Menendez . 2016. “Data Fusion Algorithm for Macroscopic Fundamental Diagram Estimation.” Transportation Research Part C:Emerging Technologies 71: 184–197.
   Web of Science ®Google Scholar
• Ampuntolas, K. , N. Zheng , and N. Geroliminis . 2017. “Macroscopic Modelling and Robust Control of bi-Modal Multi-Region Urban Road Networks.” Transportation Research Part B: Methodological 104: 616–637.
   Web of Science ®Google Scholar
• Chen, J. , Z. Li , H. Jiang , S. Zhu , and W. Wang . 2017. “Simulating the Impacts of on-Street Vehicle Parking on Traffic Operations on Urban Streets Using Cellular Automation.” Physica A: Statistical Mechanics and Its Applications 468: 880–891.
   Web of Science ®Google Scholar
• Chen, J. , Z. Li , W. Wang , and H. Jiang . 2018. “Evaluating Bicycle–Vehicle Conflicts and Delays on Urban Streets with Bike Lane and on-Street Parking.” Transportation Letters 10 (1): 1–11.
   Web of Science ®Google Scholar
• Chen, Q. , and Y. Wang . 2016. “A Cellular Automata (CA) Model for Motorized Vehicle Flows Influenced by Bicycles Along the Roadside.” Journal of Advanced Transportation 50: 949–966.
   Web of Science ®Google Scholar
• Chen, J. , W. Wang , Z. Li , H. Jiang , X. Chen , and S. Zhu . 2014. “Dispersion Effect in Left-Turning Bicycle Traffic and its Influence on Capacity of Left-Turning Vehicles at Signalized Intersections.” Transportation Research Record: Journal of the Transportation Research Board 2468: 38–46.
   Google Scholar
• Daganzo, C. F. 2007. “Urban Gridlock: Macroscopic Modeling and Mitigation Approaches.” Transportation Research Part B: Methodological 41 (1): 49–62.
   Web of Science ®Google Scholar
• Daganzo, C. F. , and N. Geroliminis . 2008. “An Analytical Approximation for the Macroscopic Fundamental Diagram of Urban Traffic.” Transportation Research Part B: Methodological 42 (9): 771–781.
   Web of Science ®Google Scholar
• Ding, H. , F. Guo , X. Zheng , and W. Zhang . 2017. “Traffic Guidance–Perimeter Control Coupled Method for the Congestion in a Macro Network.” Transportation Research Part C: Emerging Technologies 81: 300–316.
   Web of Science ®Google Scholar
• Duan, J. L. , R. J. Li , L. Hou , W. J. Wang , G. F. Li , S. E. Li , B. Cheng , and H. B. Gao . 2017. “Driver Braking Behavior Analysis to Improve Autonomous Emergency Braking Systems in Typical Chinese Vehicle-Bicycle Conflicts.” Accident Analysis & Prevention 108: 74–82.
   PubMed Web of Science ®Google Scholar
• Edie, L. C. 1963. “Discussion of Traffic Stream Measurements and Definitions.” Paper presented at the 2nd international symposium on the theory of traffic flow, London, June 1963.
   Google Scholar
• Fu, H. , X. Tang , Y. Wang , N. Zheng , and N. Geroliminis . 2018. “Empirical Analysis of Large-Scale Multimodal Traffic with Multisensor Data: A Case Study in the Shenzhen Network.” Paper presented at the 97th Annual Meeting of the transportation research Board, Washington, D.C., Jan. 2018.
   Google Scholar
• Gang, R. , H. Jiang , J. Chen , Z. Huang , and L. Lu . 2016. “Heterogeneous Cellular Automata Model for Straight-Through Bicycle Traffic at Signalized Intersection.” Physica A: Statistical Mechanics and its Applications 451: 70–83.
   Web of Science ®Google Scholar
• Gayah, V. V. , and C. F. Daganzo . 2011. “Clockwise Hysteresis Loops in the Macroscopic Fundamental Diagram: An Effect of Network Instability.” Transportation Research Part B:Methodological 45 (4): 643–655.
   Web of Science ®Google Scholar
• Geroliminis, N. , and C. F. Daganzo . 2007. “ Macroscopic Modeling of Traffic in Cities.” Paper presented at the 86th Annual Meeting of the transportation research Board, Washington, D.C., Jan. 2007.
   Google Scholar
• Geroliminis, N. , and C. F. Daganzo . 2008. “Existence of Urban-Scale Macroscopic Fundamental Diagrams: Some Experimental Findings.” Transportation Research Part B: Methodological 42 (9): 759–770.
   Web of Science ®Google Scholar
• Geroliminis, N. , and J. Sun . 2011. “Properties of a Well-Defined Macroscopic Fundamental Diagram for Urban Traffic.” Transportation Research Part B: Methodological 45 (3): 605–617.
   Web of Science ®Google Scholar
• Geroliminis, N. , N. Zheng , and K. Ampountolas . 2014. “A Three-Dimensional Macroscopic Fundamental Diagram for Mixed bi-Modal Urban Networks.” Transportation Research Part C: Emerging Technologies 42: 168–181.
   Web of Science ®Google Scholar
• HCM 2010 (Highway Capacity Manual 2010) . 2010. Transportation Research Board of the National Academies . Washington, DC : United States.
   Google Scholar
• Hoogendoorn, S. P. , M. C. Campanella , and W. Daamen . 2010. “ Macroscopic Fundamental Diagrams for Pedestrian Networks .” Paper presented at the 89th Annual Meeting of the transportation research Board, Washington, D.C., Jan. 2010.
   Google Scholar
• Huang, Y. , D. Sun , N. Garrick , and K. W. Axhausen . 2018a. “Evaluating Shanghai’s non-Local Vehicle Restriction Policy Using the Empirical Macroscopic Fundamental Diagram.” Paper presented at the 18th Swiss Transport Research Conference, Ascona, May 2018.
   Google Scholar
• Huang, Y. , D. Sun , and J. Tang . 2018c. “Taxi Driver Speeding: Who, When, Where and How? A Comparative Study Between Shanghai and New York City.” Traffic Injury Prevention 19 (3): 311–316.
   PubMed Web of Science ®Google Scholar
• Huang, Y. , D. Sun , and L. Zhang . 2018b. “Effects of Congestion on Drivers’ Speed Choice: Assessing the Mediating Role of State Aggressiveness Based on Taxi Floating car Data.” Accident Analysis & Prevention 117: 318–327.
   PubMed Web of Science ®Google Scholar
• Ji, Y. , J. Luo , and N. Geroliminis . 2014. “Empirical Observations of Congestion Propagation and Dynamic Partitioning with Probe Data for Large-Scale Systems.” Transportation Research Record: Journal of the Transportation Research Board 2422 (1): 1–11.
   Google Scholar
• Ji, Y. , H. van Zuylen , and S. Lu . 2016. “Determining the Macroscopic Fundamental Diagram on the Basis of Mixed and Incomplete Traffic Data.” Paper presented at the 95th Annual Meeting of the transportation research Board, Washington, D.C., Jan. 2016.
   Google Scholar
• Kim, S. , and H. Yeo . 2017. “Evaluating Link Criticality of Road Network Based on the Concept of Macroscopic Fundamental Diagram.” Transportmetrica A: Transport Science 13 (2): 162–193.
   Web of Science ®Google Scholar
• Knoop, V. L. , H. V. Lint , and S. P. Hoogendoorn . 2015. “Traffic Dynamics: Its Impact on the Macroscopic Fundamental Diagram.” Physica A: Statistical Mechanics and Its Applications 438: 236–250.
   Web of Science ®Google Scholar
• Koenker, R. , and J. Machado . 1999. “Goodness of Fit and Related Inference Processes for Quantile Regression.” Journal of the American Statistical Association 94 (448): 1296–1310.
   Web of Science ®Google Scholar
• Lawrence, B. M. , J. A. Oxley , D. B. Logan , and M. R. Stevenson . 2018. “Cyclist Exposure to the Risk of car Door Collisions in Mixed Function Activity Centers: A Study in Melbourne, Australia.” Traffic Injury Prevention 19: S164–S1S8.
   PubMed Web of Science ®Google Scholar
• Loder, A. , L. Ambühl , M. Menendez , and K. W. Axhausen . 2017. “Empirics of Multi-Modal Traffic Networks – Using the 3D Macroscopic Fundamental Diagram.” Transportation Research Part C: Emerging Technologies 82: 88–101.
   Web of Science ®Google Scholar
• Loder, A. , L. Ambühl , M. Menendez , and K. W. Axhausen . 2019. “Understanding Traffic Capacity of Urban Networks.” Scientific Reports 9 (1): 1–10.
   PubMedGoogle Scholar
• Luo, Y. , B. Jia , J. Liu , W. H. K. Lam , X. Li , and Z. Gao . 2015. “Modeling the Interactions Between car and Bicycle in Heterogeneous Traffic.” Journal of Advanced Transportation 49 (1): 29–47.
   Web of Science ®Google Scholar
• MOHURD (Ministry of Housing and Urban-Rural Development of China) . 2012. Code for Design of Urban Road Engineering(CJJ37-2012) . Beijing : China Architecture & Building Press.
   Google Scholar
• Nian, G. Y. , F. Chen , Z. Li , Y. Zhu , and D. J. Sun . 2019. “Evaluating the Alignment of new Metro Line Considering Network Vulnerability with Passenger Ridership.” Transportmetrica A: Transport Science 15 (2): 1402–1418.
   Web of Science ®Google Scholar
• Park, E. , S. Turner , and C. Spiegelman . 2003. “Empirical Approaches to Outlier Detection in Intelligent Transportation Systems Data.” Transportation Research Record: Journal of the Transportation Research Board 1840: 87–95.
   Google Scholar
• Piatkowski, D. P. , W. Marshall , and A. Johnson . 2017. “Identifying Behavioral Norms among Bicyclists in Mixed-Traffic Conditions.” Transportation Research Part F: Traffic Psychology and Behaviour 46: 137–148.
   Web of Science ®Google Scholar
• Schepers, J. P. , P. A. Kroeze , W. Sweers , and J. C. Wüst . 2011. “Road Factors and Bicycle–Motor Vehicle Crashes at Unsignalized Priority Intersections.” Accident Analysis & Prevention 43 (3): 853–861.
   PubMed Web of Science ®Google Scholar
• Silvano, A. P. , H. N. Koutsopoulos , and X. L. Ma . 2016. “Analysis of Vehicle-Bicycle Interactions at Unsignalized Crossings: A Probabilistic Approach and Application.” Accident Analysis & Prevention 97: 38–48.
   PubMed Web of Science ®Google Scholar
• Sun, D. J. , and X. Ding . 2019. “Spatiotemporal Evolution of Ridesourcing Markets Under the new Restriction Policy: A Case Study in Shanghai.” Transportation Research Part A: Practice and Police 130: 227–239.
   Web of Science ®Google Scholar
• Sun, D. J. , and L. Elefteriadou . 2010. “Research and Implementation of Lane-Changing Model Based on Driver Behavior.” Transportation Research Record: Journal of the Transportation Research Board 2161: 1–10.
   Web of Science ®Google Scholar
• Sun, D. J. , and L. Elefteriadou . 2014. “A Driver Behavior Based Lane-Changing Model for Urban Arterial Streets.” Transportation Science 48 (2): 184–205.
   Web of Science ®Google Scholar
• Sun, D. J. , K. Zhang , and S. Shen . 2018. “Analyzing Spatiotemporal Traffic Line Source Emissions Based on Massive Didi Online car-Hailing Service Data.” Transportation Research Part D: Transport and Environment 62: 699–714.
   Web of Science ®Google Scholar
• SURCTD (Shanghai Urban Rural Construction and Transportation Development Research Institute) . 2015. “Main Results of The 5th Shanghai Comprehensive Transport Survey.” Traffic and Transportation 6: 15–19. (In Chinese).
   Google Scholar
• Taherifar, N. , H. Hamedmoghadam , S. Sree , and M. Saberi . 2019. “A Macroscopic Approach for Calibration and Validation of a Modified Social Force Model for Bidirectional Pedestrian Streams.” Transportmetrica A: Transport Science 15 (2): 1637–1661.
   Web of Science ®Google Scholar
• Vasic, J. , and H. Ruskin . 2012. “Cellular Automata Simulation of Traffic Including Cars and Bicycles.” Physica A: Statistical Mechanics and Its Applications 391 (8): 2720–2729.
   Web of Science ®Google Scholar
• Wang, X. , H. Liu , R. Yu , B. Deng , X. Chen , and B. Wu . 2014. “Exploring Operating Speeds on Urban Arterials Using Floating car Data: Case Study in Shanghai.” Journal of Transportation Engineering 140 (9): 04014044.
   Google Scholar
• Wei, B. , and D. J. Sun . 2018. “A Two-Layer Network Dynamic Congestion Pricing Based on Macroscopic Fundamental Diagram.” Journal of Advanced Transportation 2018 (2): 1–11.
   Google Scholar
• Wierbos, M. J. , V. L. Knoop , F. S. Hänseler , and S. P. Hoogendoorn . 2020. “A Macroscopic Flow Model for Mixed Bicycle–Car Traffic.” Transportmetrica A: Transport Science . doi:https://doi.org/10.1080/23249935.2019.1708512.
   Web of Science ®Google Scholar
• Xie, D. F. , D. Z. Wang , and Z. Y. Gao . 2016. “Macroscopic Analysis of the Fundamental Diagram with Inhomogeneous Network and Instable Traffic.” Transportmetrica A: Transport Science 12 (1): 20–42.
   Web of Science ®Google Scholar
• Xin, C. J. 1996. “Bicycle Transportation in Shanghai: Status and Prospects.” Transportation Research Record: Journal of the Transportation Research Board 1563: 8–15.
   Google Scholar
• Yang, X. , Z. Gao , X. Zhao , and B. Si . 2009. “Road Capacity at bus Stops with Mixed Traffic Flow in China.” Transportation Research Record: Journal of the Transportation Research Board 2111: 18–23.
   Web of Science ®Google Scholar
• Yuan, K. , L. K. Victor , and S. P. Hoogendoorn . 2019. “Multi-class Traffic Flow on a Partially Space-Shared Road.” Transportmetrica B: Transport Dynamics 7 (1): 1505–1520.
   Web of Science ®Google Scholar
• Zacharias, J. 2002. “Bicycle in Shanghai: Movement Patterns, Cyclist Attitudes and the Impact of Traffic Separation.” Transport Reviews 22 (3): 309–322.
   Web of Science ®Google Scholar
• Zhang, Y. , and Z. Mi . 2018. “Environmental Benefits of Bike Sharing: A Big Data-Based Analysis.” Applied Energy 220: 296–301.
   Web of Science ®Google Scholar
• Zheng, N. , and N. Geroliminis . 2013. “On the Distribution of Urban Road Space for Multimodal Congested Networks.” Transportation Research Part B: Methodological 57 (C): 326–341.
   Google Scholar
• Zheng, N. , and N. Geroliminis . 2016. “Modeling and Optimization of Multimodal Urban Networks with Limited Parking and Dynamic Pricing.” Transportation Research Part B: Methodological 83: 36–58.
   Web of Science ®Google Scholar