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Benjamin Kickhöfer
(Benjamin Kickhoefer)

Personal Details

First Name:Benjamin
Middle Name:
Last Name:Kickhoefer
Suffix:
RePEc Short-ID:pki345
[This author has chosen not to make the email address public]
http://scholar.google.de/citations?user=MWdnssgAAAAJ

Affiliation

Technische Universität Berlin, Fakultät Verkehrs- und Maschinensysteme, Institut für Land- und Seeverkehr, Fachgebiet Verkehrssystemplanung und Verkehrstelematik

http://www.vsp.tu-berlin.de/
Germany, Berlin

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Benjamin Kickhöfer & Dominik Grether & Kai Nagel, 2011. "Public acceptance and economic evaluation of transport policies (refereed paper)," ERSA conference papers ersa10p1022, European Regional Science Association.

Articles

  1. Amit Agarwal & Benjamin Kickhöfer, 2018. "The correlation of externalities in marginal cost pricing: lessons learned from a real-world case study," Transportation, Springer, vol. 45(3), pages 849-873, May.
  2. Ihab Kaddoura & Benjamin Kickhöfer & Andreas Neumann & Alejandro Tirachini, 2015. "Optimal Public Transport Pricing: Towards an Agent-based Marginal Social Cost Approach," Journal of Transport Economics and Policy, University of Bath, vol. 49(2), pages 200-218, April.
  3. Ihab Kaddoura & Benjamin Kickhöfer & Andreas Neumann & Alejandro Tirachini, 2015. "Agent-based optimisation of public transport supply and pricing: impacts of activity scheduling decisions and simulation randomness," Transportation, Springer, vol. 42(6), pages 1039-1061, November.
  4. Benjamin Kickhöfer & Dominik Grether & Kai Nagel, 2011. "Income-contingent user preferences in policy evaluation: application and discussion based on multi-agent transport simulations," Transportation, Springer, vol. 38(6), pages 849-870, November.

Chapters

  1. Benjamin Kickhöfer & Friederike Hülsmann & Regine Gerike & Kai Nagel, 2013. "Rising car user costs: comparing aggregated and geo-spatial impacts on travel demand and air pollutant emissions," Chapters, in: Thomas Vanoutrive & Ann Verhetsel (ed.), Smart Transport Networks, chapter 9, pages 180-207, Edward Elgar Publishing.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Amit Agarwal & Benjamin Kickhöfer, 2018. "The correlation of externalities in marginal cost pricing: lessons learned from a real-world case study," Transportation, Springer, vol. 45(3), pages 849-873, May.

    Cited by:

    1. Haoning Xi & Liu He & Yi Zhang & Zhen Wang, 2020. "Bounding the efficiency gain of differentiable road pricing for EVs and GVs to manage congestion and emissions," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-36, July.
    2. Robin Lindsey & André de Palma & Pouya Rezaeini, 2022. "Tolls vs tradable permits for managing travel on a bimodal congested network with variable capacities and demands," THEMA Working Papers 2022-06, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Thombre, Anurag & Agarwal, Amit, 2021. "A paradigm shift in urban mobility: Policy insights from travel before and after COVID-19 to seize the opportunity," Transport Policy, Elsevier, vol. 110(C), pages 335-353.
    4. Thi Ngoc Nguyen & Felix Muesgens, 2024. "Fuel tax loss in a world of electric mobility: A window of opportunity for congestion pricing," Papers 2409.20033, arXiv.org.
    5. Lombardi, Lidia & Francini, Giovanni, 2020. "Techno-economic and environmental assessment of the main biogas upgrading technologies," Renewable Energy, Elsevier, vol. 156(C), pages 440-458.
    6. Merkert, Rico & Beck, Matthew J. & Bushell, James, 2021. "Will It Fly? Adoption of the road pricing framework to manage drone use of airspace," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 156-170.

  2. Ihab Kaddoura & Benjamin Kickhöfer & Andreas Neumann & Alejandro Tirachini, 2015. "Optimal Public Transport Pricing: Towards an Agent-based Marginal Social Cost Approach," Journal of Transport Economics and Policy, University of Bath, vol. 49(2), pages 200-218, April.

    Cited by:

    1. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    2. Ihab Kaddoura & Kai Nagel, 2018. "Simultaneous internalization of traffic congestion and noise exposure costs," Transportation, Springer, vol. 45(5), pages 1579-1600, September.
    3. Conny Grunicke & Jan Christian Schluter & Jani-Pekka Jokinen, 2020. "Implementation of a cost-benefit analysis of Demand-Responsive Transport with a Multi-Agent Transport Simulation," Papers 2011.12869, arXiv.org, revised Mar 2021.
    4. Adnan, Muhammad & Nahmias Biran, Bat-hen & Baburajan, Vishnu & Basak, Kakali & Ben-Akiva, Moshe, 2020. "Examining impacts of time-based pricing strategies in public transportation: A study of Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 127-141.
    5. Xudong Li & Zhongzhen Yang & Feng Lian, 2023. "Optimizing On-Demand Bus Services for Remote Areas," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    6. Antonín Pavlíček & František Sudzina, 2020. "Intergroup Comparison of Personalities in the Preferred Pricing of Public Transport in Rush Hours: Data Revisited," Sustainability, MDPI, vol. 12(12), pages 1-9, June.

  3. Ihab Kaddoura & Benjamin Kickhöfer & Andreas Neumann & Alejandro Tirachini, 2015. "Agent-based optimisation of public transport supply and pricing: impacts of activity scheduling decisions and simulation randomness," Transportation, Springer, vol. 42(6), pages 1039-1061, November.

    Cited by:

    1. Kamel, Islam & Shalaby, Amer & Abdulhai, Baher, 2020. "A modelling platform for optimizing time-dependent transit fares in large-scale multimodal networks," Transport Policy, Elsevier, vol. 92(C), pages 38-54.
    2. Yu Han & Changjie Chen & Zhong-Ren Peng & Pallab Mozumder, 2022. "Evaluating impacts of coastal flooding on the transportation system using an activity-based travel demand model: a case study in Miami-Dade County, FL," Transportation, Springer, vol. 49(1), pages 163-184, February.
    3. Bing-Zheng Liu & Ying-En Ge & Kai Cao & Xi Jiang & Lingyun Meng & Ding Liu & Yunfeng Gao, 2017. "Optimizing a desirable fare structure for a bus-subway corridor," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-21, October.

  4. Benjamin Kickhöfer & Dominik Grether & Kai Nagel, 2011. "Income-contingent user preferences in policy evaluation: application and discussion based on multi-agent transport simulations," Transportation, Springer, vol. 38(6), pages 849-870, November.

    Cited by:

    1. Ihab Kaddoura & Kai Nagel, 2018. "Simultaneous internalization of traffic congestion and noise exposure costs," Transportation, Springer, vol. 45(5), pages 1579-1600, September.
    2. Ihab Kaddoura & Benjamin Kickhöfer & Andreas Neumann & Alejandro Tirachini, 2015. "Agent-based optimisation of public transport supply and pricing: impacts of activity scheduling decisions and simulation randomness," Transportation, Springer, vol. 42(6), pages 1039-1061, November.
    3. Boggio, Margherita & Beria, Paolo, 2019. "The role of transport supply in the acceptability of pollution charge extension. The case of Milan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 92-106.
    4. Lixin Zhou & Jie Lin & Yanfeng Li & Zhenyu Zhang, 2020. "Innovation Diffusion of Mobile Applications in Social Networks: A Multi-Agent System," Sustainability, MDPI, vol. 12(7), pages 1-17, April.

Chapters

  1. Benjamin Kickhöfer & Friederike Hülsmann & Regine Gerike & Kai Nagel, 2013. "Rising car user costs: comparing aggregated and geo-spatial impacts on travel demand and air pollutant emissions," Chapters, in: Thomas Vanoutrive & Ann Verhetsel (ed.), Smart Transport Networks, chapter 9, pages 180-207, Edward Elgar Publishing.

    Cited by:

    1. Daniel de Wolf & Ngagne Diop & Moez Kilani, 2024. "Environmental impacts of enlarging the market share of electric vehicles [Impact environnemental de l'élargissement de la part de marché des véhicules électriques]," Post-Print hal-04551704, HAL.
    2. Kaddoura, Ihab & Bischoff, Joschka & Nagel, Kai, 2020. "Towards welfare optimal operation of innovative mobility concepts: External cost pricing in a world of shared autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 48-63.
    3. Agarwal, Amit & Ziemke, Dominik & Nagel, Kai, 2020. "Bicycle superhighway: An environmentally sustainable policy for urban transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 519-540.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (1) 2012-07-29
  2. NEP-PPM: Project, Program and Portfolio Management (1) 2012-07-29
  3. NEP-TRE: Transport Economics (1) 2012-07-29

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