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Circuity in Urban Transit Networks

Citations

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Cited by:

  1. repec:osf:socarx:edj2s_v1 is not listed on IDEAS
  2. Patricia C Melo & Daniel J Graham & David Levinson & Sarah Aarabi, 2017. "Agglomeration, accessibility and productivity: Evidence for large metropolitan areas in the US," Urban Studies, Urban Studies Journal Limited, vol. 54(1), pages 179-195, January.
  3. Cao, Zhejing & Zhang, Xiaohu & Chua, Kelman & Yu, Honghai & Zhao, Jinhua, 2021. "E-scooter sharing to serve short-distance transit trips: A Singapore case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 177-196.
  4. Rahimi-Golkhandan, Armin & Garvin, Michael J. & Brown, Bryan L., 2019. "Characterizing and measuring transportation infrastructure diversity through linkages with ecological stability theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 114-130.
  5. Tzay-An Shiau & Ching-Shuan Lee, 2017. "Measuring Network-Based Public Transit Performance Using Fuzzy Measures and Fuzzy Integrals," Sustainability, MDPI, vol. 9(5), pages 1-16, April.
  6. Dixit, Malvika & Chowdhury, Subeh & Cats, Oded & Brands, Ties & van Oort, Niels & Hoogendoorn, Serge, 2021. "Examining circuity of urban transit networks from an equity perspective," Journal of Transport Geography, Elsevier, vol. 91(C).
  7. Lu, Qing-Long & Sun, Wenzhe & Dai, Jiannan & Schmöcker, Jan-Dirk & Antoniou, Constantinos, 2024. "Traffic resilience quantification based on macroscopic fundamental diagrams and analysis using topological attributes," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
  8. Yang Cao & Linxing Wang & Hao Wu & Shuqi Yan & Shuwen Shen, 2023. "Identification and Mechanism of Residents’ Regional Non-Commuting Flow Patterns Based on the Gradient Boosting Decision Tree Model: A Case Study of the Shanghai Metropolitan Area," Land, MDPI, vol. 12(9), pages 1-21, August.
  9. Juan C Duque & Nancy Lozano-Gracia & Jorge E Patino & Paula Restrepo, 2022. "Urban form and productivity: What shapes are Latin-American cities?," Environment and Planning B, , vol. 49(1), pages 131-150, January.
  10. Ali Enes Dingil & Federico Rupi & Domokos Esztergár-Kiss, 2021. "An Integrative Review of Socio-Technical Factors Influencing Travel Decision-Making and Urban Transport Performance," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
  11. Yat Yen & Pengjun Zhao & Muhammad T Sohail, 2021. "The morphology and circuity of walkable, bikeable, and drivable street networks in Phnom Penh, Cambodia," Environment and Planning B, , vol. 48(1), pages 169-185, January.
  12. Wang, Mingzhi & Yuan, Chunyi & Dong, Chunjiao & Jin, Jingdong & Wang, Jing & Wang, Junyue & Shao, Chunfu, 2026. "Enhancing public transport competitiveness in metropolitan areas: Empirical evidence and policy implications from Beijing's commuting," Transport Policy, Elsevier, vol. 181(C).
  13. Zaouche, Mounia & Bode, Nikolai W.F., 2023. "Bayesian spatio-temporal models for mapping urban pedestrian traffic," Journal of Transport Geography, Elsevier, vol. 111(C).
  14. Boeing, Geoff, 2017. "The Relative Circuity of Walkable and Drivable Urban Street Networks," SocArXiv 4rzqa, Center for Open Science.
  15. Padraig Corcoran & Rhyd Lewis, 2023. "A navigability entropy model for street networks," Environment and Planning B, , vol. 50(8), pages 2171-2186, October.
  16. repec:osf:socarx:4rzqa_v1 is not listed on IDEAS
  17. Yang, Wenyue & Chen, Huiling & Wang, Wulin, 2020. "The path and time efficiency of residents' trips of different purposes with different travel modes: An empirical study in Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 88(C).
  18. Zuo, Yufan & Fu, Xiao & Liu, Zhiyuan & Huang, Di, 2021. "Short-term forecasts on individual accessibility in bus system based on neural network model," Journal of Transport Geography, Elsevier, vol. 93(C).
  19. Merchán, Daniel & Winkenbach, Matthias & Snoeck, André, 2020. "Quantifying the impact of urban road networks on the efficiency of local trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 38-62.
  20. Moyano, Amparo & Moya-Gómez, Borja & Gutiérrez, Javier, 2018. "Access and egress times to high-speed rail stations: a spatiotemporal accessibility analysis," Journal of Transport Geography, Elsevier, vol. 73(C), pages 84-93.
  21. Jie Huang & Yujie Hu & Jiaoe Wang & Xiang Li, 2021. "A tale of two cities: Jobs–housing balance and urban spatial structures from the perspective of transit commuters," Environment and Planning B, , vol. 48(6), pages 1543-1557, July.
  22. Yang, Lan & Eom, Sunyong & Suzuki, Tsutomu, 2021. "Measuring railway network performance considering accessibility levels in cities worldwide," Journal of Transport Geography, Elsevier, vol. 96(C).
  23. Boeing, Geoff, 2019. "The Morphology and Circuity of Walkable and Drivable Street Networks," SocArXiv edj2s, Center for Open Science.
  24. Mohammad Azmoodeh & Farshidreza Haghighi & Hamid Motieyan, 2023. "Capability Index: Applying a Fuzzy-Based Decision-Making Method to Evaluate Social Inclusion in Urban Areas Using the Capability Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(1), pages 77-105, January.
  25. Hu, Xinlei & Huang, Jie & Shi, Feng, 2019. "Circuity in China's high-speed-rail network," Journal of Transport Geography, Elsevier, vol. 80(C).
  26. Zhang, Yuerong & Marshall, Stephen & Manley, Ed, 2021. "Understanding the roles of rail stations: Insights from network approaches in the London metropolitan area," Journal of Transport Geography, Elsevier, vol. 94(C).
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