Welfare optimal bicycle network expansions with induced demand
Author
Abstract
Suggested Citation
DOI: 10.1016/j.trb.2024.103095
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Siying Zhu & Feng Zhu, 2020. "Multi-objective bike-way network design problem with space–time accessibility constraint," Transportation, Springer, vol. 47(5), pages 2479-2503, October.
- Louise Foley & Dorothea Dumuid & Andrew J Atkin & Katrien Wijndaele & David Ogilvie & Timothy Olds, 2019. "Cross-sectional and longitudinal associations between active commuting and patterns of movement behaviour during discretionary time: A compositional data analysis," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-19, August.
- Boardman,Anthony E. & Greenberg,David H. & Vining,Aidan R. & Weimer,David L., 2018.
"Cost-Benefit Analysis,"
Cambridge Books,
Cambridge University Press, number 9781108415996, November.
- Boardman,Anthony E. & Greenberg,David H. & Vining,Aidan R. & Weimer,David L., 2018. "Cost-Benefit Analysis," Cambridge Books, Cambridge University Press, number 9781108401296, January.
- Paulsen, Mads & Rich, Jeppe, 2023. "Societally optimal expansion of bicycle networks," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
- Mads Paulsen & Thomas Kjær Rasmussen & Otto Anker Nielsen, 2022. "Including Right-of-Way in a Joint Large-Scale Agent-Based Dynamic Traffic Assignment Model for Cars and Bicycles," Networks and Spatial Economics, Springer, vol. 22(4), pages 915-957, December.
- Jen-Jia Lin & Chia-Jung Yu, 2013. "A bikeway network design model for urban areas," Transportation, Springer, vol. 40(1), pages 45-68, January.
- Hallberg, Martin & Rasmussen, Thomas Kjær & Rich, Jeppe, 2021. "Modelling the impact of cycle superhighways and electric bicycles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 397-418.
- Breda, João & Jakovljevic, Jelena & Rathmes, Giulia & Mendes, Romeu & Fontaine, Olivier & Hollmann, Susanne & Rütten, Alfred & Gelius, Peter & Kahlmeier, Sonja & Galea, Gauden, 2018. "Promoting health-enhancing physical activity in Europe: Current state of surveillance, policy development and implementation," Health Policy, Elsevier, vol. 122(5), pages 519-527.
- Teschke, K. & Harris, M.A. & Reynolds, C.C.O. & Winters, M. & Babul, S. & Chipman, M. & Cusimano, M.D. & Brubacher, J.R. & Hunte, G. & Friedman, S.M. & Monro, M. & Shen, H. & Vernich, L. & Cripton, P., 2012. "Route infrastructure and the risk of injuries to bicyclists: A case-crossover study," American Journal of Public Health, American Public Health Association, vol. 102(12), pages 2336-2343.
- Sunhyung Yoo & Jinwoo Brian Lee & Hoon Han, 2023. "A Reinforcement Learning approach for bus network design and frequency setting optimisation," Public Transport, Springer, vol. 15(2), pages 503-534, June.
- David G T Whitehurst & Danielle N DeVries & Daniel Fuller & Meghan Winters, 2021. "An economic analysis of the health-related benefits associated with bicycle infrastructure investment in three Canadian cities," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-16, February.
- Liu, Haoxiang & Szeto, W.Y. & Long, Jiancheng, 2019. "Bike network design problem with a path-size logit-based equilibrium constraint: Formulation, global optimization, and matheuristic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 284-307.
- Rich, Jeppe & Myhrmann, Marcus Skyum & Mabit, Stefan Eriksen, 2023. "Our children cycle less - A Danish pseudo-panel analysis," Journal of Transport Geography, Elsevier, vol. 106(C).
- Ospina, Juan P. & Duque, Juan C. & Botero-Fernández, Verónica & Montoya, Alejandro, 2022. "The maximal covering bicycle network design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 222-236.
- Volodymyr Mnih & Koray Kavukcuoglu & David Silver & Andrei A. Rusu & Joel Veness & Marc G. Bellemare & Alex Graves & Martin Riedmiller & Andreas K. Fidjeland & Georg Ostrovski & Stig Petersen & Charle, 2015. "Human-level control through deep reinforcement learning," Nature, Nature, vol. 518(7540), pages 529-533, February.
- C. S. Shui & W. L. Chan, 2019. "Optimization of a Bikeway Network with Selective Nodes," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
- Wu, Liyu & Gu, Weihua & Fan, Wenbo & Cassidy, Michael J., 2020. "Optimal design of transit networks fed by shared bikes," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 63-83.
- Caicedo, Angélica & Estrada, Miquel & Medina-Tapia, Marcos & Mayorga, Miguel, 2023. "Optimizing bike network design: A cost-effective methodology for heterogeneous travel demands using continuous approximation techniques," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Paulsen, Mads & Rich, Jeppe, 2023. "Societally optimal expansion of bicycle networks," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
- Caicedo, Angélica & Estrada, Miquel & Medina-Tapia, Marcos & Mayorga, Miguel, 2023. "Optimizing bike network design: A cost-effective methodology for heterogeneous travel demands using continuous approximation techniques," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
- Ospina, Juan P. & Duque, Juan C. & Botero-Fernández, Verónica & Montoya, Alejandro, 2022. "The maximal covering bicycle network design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 222-236.
- Wei, Tangjian & Batley, Richard & Liu, Ronghui & Xu, Guangming & Tang, Yili, 2024. "A method of time-varying demand distribution estimation for high-speed railway networks with user equilibrium model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
- Wu, Weitiao & Li, Yu, 2024. "Pareto truck fleet sizing for bike relocation with stochastic demand: Risk-averse multi-stage approximate stochastic programming," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
- Łukawska, Mirosława & Paulsen, Mads & Rasmussen, Thomas Kjær & Jensen, Anders Fjendbo & Nielsen, Otto Anker, 2023. "A joint bicycle route choice model for various cycling frequencies and trip distances based on a large crowdsourced GPS dataset," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
- Yoo, Sunhyung & Lee, Jinwoo, 2024. "Are there safe cycleways for school travel? Where are more cycleways needed?," Transport Policy, Elsevier, vol. 154(C), pages 107-119.
- Tulika Saha & Sriparna Saha & Pushpak Bhattacharyya, 2020. "Towards sentiment aided dialogue policy learning for multi-intent conversations using hierarchical reinforcement learning," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-28, July.
- Mahmoud Mahfouz & Angelos Filos & Cyrine Chtourou & Joshua Lockhart & Samuel Assefa & Manuela Veloso & Danilo Mandic & Tucker Balch, 2019. "On the Importance of Opponent Modeling in Auction Markets," Papers 1911.12816, arXiv.org.
- Lixiang Zhang & Yan Yan & Yaoguang Hu, 2024. "Deep reinforcement learning for dynamic scheduling of energy-efficient automated guided vehicles," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 3875-3888, December.
- Malte Jetzke & Michael Mutz, 2020. "Sport for Pleasure, Fitness, Medals or Slenderness? Differential Effects of Sports Activities on Well-Being," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(5), pages 1519-1534, November.
- Woo Jae Byun & Bumkyu Choi & Seongmin Kim & Joohyun Jo, 2023. "Practical Application of Deep Reinforcement Learning to Optimal Trade Execution," FinTech, MDPI, vol. 2(3), pages 1-16, June.
- Lu, Yu & Xiang, Yue & Huang, Yuan & Yu, Bin & Weng, Liguo & Liu, Junyong, 2023. "Deep reinforcement learning based optimal scheduling of active distribution system considering distributed generation, energy storage and flexible load," Energy, Elsevier, vol. 271(C).
- Yuhong Wang & Lei Chen & Hong Zhou & Xu Zhou & Zongsheng Zheng & Qi Zeng & Li Jiang & Liang Lu, 2021. "Flexible Transmission Network Expansion Planning Based on DQN Algorithm," Energies, MDPI, vol. 14(7), pages 1-21, April.
- Michelle M. LaMar, 2018. "Markov Decision Process Measurement Model," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 67-88, March.
- Yang, Ting & Zhao, Liyuan & Li, Wei & Zomaya, Albert Y., 2021. "Dynamic energy dispatch strategy for integrated energy system based on improved deep reinforcement learning," Energy, Elsevier, vol. 235(C).
- Wang, Yi & Qiu, Dawei & Sun, Mingyang & Strbac, Goran & Gao, Zhiwei, 2023. "Secure energy management of multi-energy microgrid: A physical-informed safe reinforcement learning approach," Applied Energy, Elsevier, vol. 335(C).
- Giménez-Nadal, José Ignacio & Velilla, Jorge & Ortega, Raquel, 2022. "Revisiting excess commuting and self-employment: The case of Latin America," GLO Discussion Paper Series 1179, Global Labor Organization (GLO).
- Neha Soni & Enakshi Khular Sharma & Narotam Singh & Amita Kapoor, 2019. "Impact of Artificial Intelligence on Businesses: from Research, Innovation, Market Deployment to Future Shifts in Business Models," Papers 1905.02092, arXiv.org.
- Ande Chang & Yuting Ji & Chunguang Wang & Yiming Bie, 2024. "CVDMARL: A Communication-Enhanced Value Decomposition Multi-Agent Reinforcement Learning Traffic Signal Control Method," Sustainability, MDPI, vol. 16(5), pages 1-17, March.
More about this item
Keywords
Bicycle infrastructure; Bicycle network design; Benefit–cost analysis; Transport network expansion; Transport geography; Cycle superhighways;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transb:v:190:y:2024:i:c:s0191261524002194. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/548/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.