IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20240081.html
   My bibliography  Save this paper

Using Nudging Information to Manage Congestion and Emissions in a Road and Metro Network

Author

Listed:
  • Zhiyuan Liang

    (Beijing Jiaotong University)

  • Vincent A.C. van den Berg

    (Vrije Universiteit Amsterdam and Tinbergen Institute)

  • Erik T. Verhoef

    (Vrije Universiteit Amsterdam and Tinbergen Institute)

  • Yacan Wang

    (Beijing Jiaotong University)

Abstract

This study studies nudging information as a strategy that can complement or substitute externality pricing, by influencing commuter behavior through awareness of the health and environmental impacts of their choices. We develop a bi-modal model with road and metro commuters, with bottleneck congestion on the road and dynamic crowding congestion in the metro. The model further incorporates health costs and environmental externalities, particularly for road commuters. When commuters are homogeneous, our findings indicate that nudging information generates positive welfare effects except in scenarios with extremely high crowding effects in the metro system. Moreover, nudging information can consistently complement flat road tolls by integrating information and toll schemes to enhance the system’s social welfare impact. By adding heterogeneity in environmental preferences, car types, and income, the study further highlights that the effectiveness of such strategies depends on the varied behavioral responses from diverse individuals. Even when the crowding effect is relatively small with heterogeneity, nudging information may result in negative welfare effects by causing welfare-reducing swaps in road commuters’ departure patterns; in such cases, it fails to complement flat tolls effectively.

Suggested Citation

  • Zhiyuan Liang & Vincent A.C. van den Berg & Erik T. Verhoef & Yacan Wang, 2024. "Using Nudging Information to Manage Congestion and Emissions in a Road and Metro Network," Tinbergen Institute Discussion Papers 24-081/VII, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20240081
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/24081.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arnott, R. & de Palma, A. & Lindsey, R., 1990. "Departure time and route choice for the morning commute," Transportation Research Part B: Methodological, Elsevier, vol. 24(3), pages 209-228, June.
    2. de Palma, André & Lindsey, Robin & Monchambert, Guillaume, 2017. "The economics of crowding in rail transit," Journal of Urban Economics, Elsevier, vol. 101(C), pages 106-122.
    3. Myers, Erica & Souza, Mateus, 2020. "Social comparison nudges without monetary incentives: Evidence from home energy reports," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    4. Xiao, Ling-Ling & Liu, Tian-Liang & Huang, Hai-Jun, 2016. "On the morning commute problem with carpooling behavior under parking space constraint," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 383-407.
    5. Verhoef, Erik & Nijkamp, Peter & Rietveld, Piet, 1996. "Second-Best Congestion Pricing: The Case of an Untolled Alternative," Journal of Urban Economics, Elsevier, vol. 40(3), pages 279-302, November.
    6. Liu, Wei & Yin, Yafeng & Yang, Hai, 2015. "Effectiveness of variable speed limits considering commuters’ long-term response," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 498-519.
    7. Yang, Hai & Tang, Yili, 2018. "Managing rail transit peak-hour congestion with a fare-reward scheme," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 122-136.
    8. van den Berg, Vincent & Verhoef, Erik T., 2011. "Winning or losing from dynamic bottleneck congestion pricing?: The distributional effects of road pricing with heterogeneity in values of time and schedule delay," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 983-992, August.
    9. Coria, Jessica & Zhang, Xiao-Bing, 2017. "Optimal environmental road pricing and daily commuting patterns," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 297-314.
    10. Kamas, Linda & Preston, Anne, 2012. "Distributive and reciprocal fairness: What can we learn from the heterogeneity of social preferences?," Journal of Economic Psychology, Elsevier, vol. 33(3), pages 538-553.
    11. Robin Lindsey & Andre de Palma, 1998. "Information and Usage of Congestible Facilities Under Different Pricing Regimes," Canadian Journal of Economics, Canadian Economics Association, vol. 31(3), pages 666-692, August.
    12. Saurabh Bhargava & George Loewenstein, 2015. "Behavioral Economics and Public Policy 102: Beyond Nudging," American Economic Review, American Economic Association, vol. 105(5), pages 396-401, May.
    13. Ma, Rui & Ban, Xuegang (Jeff) & Szeto, W.Y., 2017. "Emission modeling and pricing on single-destination dynamic traffic networks," Transportation Research Part B: Methodological, Elsevier, vol. 100(C), pages 255-283.
    14. Sudarshan, Anant, 2017. "Nudges in the marketplace: The response of household electricity consumption to information and monetary incentives," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 320-335.
    15. Li, Zhi-Chun & Zhang, Liping, 2020. "The two-mode problem with bottleneck queuing and transit crowding: How should congestion be priced using tolls and fares?," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 46-76.
    16. Verhoef, Erik T. & Emmerink, Richard H. M. & Nijkamp, Peter & Rietveld, Piet, 1996. "Information provision, flat and fine congestion tolling and the efficiency of road usage," Regional Science and Urban Economics, Elsevier, vol. 26(5), pages 505-529, August.
    17. Liu, Qiumin & Jiang, Rui & Liu, Ronghui & Zhao, Hui & Gao, Ziyou, 2020. "Travel cost budget based user equilibrium in a bottleneck model with stochastic capacity," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 1-37.
    18. Pablo Lucas & Angela C.M. de Oliveira & Sheheryar Banuri, 2014. "The Effects of Group Composition and Social Preference Heterogeneity in a Public Goods Game: An Agent-Based Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(3), pages 1-5.
    Full references (including those not matched with items on IDEAS)

    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.
    1. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    2. Yu, Xiaojuan & van den Berg, Vincent A.C. & Li, Zhi-Chun, 2023. "Congestion pricing and information provision under uncertainty: Responsive versus habitual pricing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    3. Kobayashi, Kiyoshi & Do, Myungsik, 2005. "The informational impacts of congestion tolls upon route traffic demands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 651-670.
    4. Senlai Zhu & Hantao Yu & Congjun Fan, 2024. "Travel Plan Sharing and Regulation for Managing Traffic Bottleneck Based on Blockchain Technology," Sustainability, MDPI, vol. 16(4), pages 1-20, February.
    5. Erik Verhoef, 1997. "Time-Varying Tolls in a Dynamic Model of Road Traffic Congestion with Elastic Demand," Tinbergen Institute Discussion Papers 97-028/3, Tinbergen Institute.
    6. Button, Kenneth, 2004. "1. The Rationale For Road Pricing: Standard Theory And Latest Advances," Research in Transportation Economics, Elsevier, vol. 9(1), pages 3-25, January.
    7. Long, Jiancheng & Szeto, W.Y., 2019. "Congestion and environmental toll schemes for the morning commute with heterogeneous users and parallel routes," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 305-333.
    8. André de Palma & Shaghayegh Vosough & Robin Lindsey, 2020. "Pricing vehicle emissions and congestion using a dynamic traffic network simulator," THEMA Working Papers 2020-09, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    9. Liu, Peng & Liu, Jielun & Ong, Ghim Ping & Tian, Qiong, 2020. "Flow pattern and optimal capacity in a bi-modal traffic corridor with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    10. C. Robin Lindsey & Erik T. Verhoef, 2000. "Traffic Congestion and Congestion Pricing," Tinbergen Institute Discussion Papers 00-101/3, Tinbergen Institute.
    11. Andor, Mark A. & Gerster, Andreas & Peters, Jörg & Schmidt, Christoph M., 2020. "Social Norms and Energy Conservation Beyond the US," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    12. Li, Xueyan & Qiu, Heting & Yang, Yanni & Zhang, Hankun, 2022. "Differentiated fares depend on bus line and time for urban public transport network based on travelers’ day-to-day group behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    13. Thommen, Christoph & Hintermann, Beat, 2023. "Price versus Commitment: Managing the demand for off-peak train tickets in a field experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    14. Liang, Zhiyuan & Tang, Yili & Yu, Jianing & Wang, Yacan, 2024. "A collective incentive strategy to manage ridership rebound and consumer surplus in mass transit systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    15. Button, Kenneth, 2020. "The Transition From Pigou’S Ideas On Road Pricing To Their Application," Journal of the History of Economic Thought, Cambridge University Press, vol. 42(3), pages 417-438, September.
    16. repec:dgr:uvatin:20100091 is not listed on IDEAS
    17. Verhoef, Erik T., 1999. "Time, speeds, flows and densities in static models of road traffic congestion and congestion pricing," Regional Science and Urban Economics, Elsevier, vol. 29(3), pages 341-369, May.
    18. Ding, Hongxing & Yang, Hai & Qin, Xiaoran & Xu, Hongli, 2023. "Credit charge-cum-reward scheme for green multi-modal mobility," Transportation Research Part B: Methodological, Elsevier, vol. 178(C).
    19. Takayama, Yuki, 2018. "Time-varying congestion tolling and urban spatial structure," MPRA Paper 89896, University Library of Munich, Germany.
    20. Liu, Yang & Nie, Yu (Marco), 2011. "Morning commute problem considering route choice, user heterogeneity and alternative system optima," Transportation Research Part B: Methodological, Elsevier, vol. 45(4), pages 619-642.
    21. Wang, Jing-Peng & Ban, Xuegang (Jeff) & Huang, Hai-Jun, 2019. "Dynamic ridesharing with variable-ratio charging-compensation scheme for morning commute," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 390-415.

    More about this item

    Keywords

    Congestion; Emissions; Nudging information; Bi-modal; Heterogeneity;
    All these keywords.

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    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:tin:wpaper:20240081. 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: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.