Sergejs Gubins

Personal Details

First Name:	Sergejs
Middle Name:
Last Name:	Gubins
Suffix:
RePEc Short-ID:	pgu389
	[This author has chosen not to make the email address public]
	http://www.linkedin.com/in/sergejsgubins
Terminal Degree:	School of Business and Economics; Vrije Universiteit Amsterdam (from RePEc Genealogy)

Affiliation

Baltic International Center for Economic Policy Studies (BICEPS)

Rīga, Latvia
http://www.biceps.org/
RePEc:edi:biceplv (more details at EDIRC)

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

1. Sergejs Gubins & Erik T. Verhoef, 2011. "Teleworking and Congestion: A Dynamic Bottleneck Analysis," Tinbergen Institute Discussion Papers 11-096/3, Tinbergen Institute.

   Cited by:

   1. André de Palma & Robin Lindsey & Nathalie Picard, 2015. "Trip-timing decisions and congestion with household scheduling preferences," Working Papers hal-01117732, HAL.
      • Palma, André de & Lindsey, Robin & Picard, Nathalie, 2015. "Trip-timing decisions and congestion with household scheduling preferences," Economics of Transportation, Elsevier, vol. 4(1), pages 118-131.
      • André De Palma & Robin Lindsey & Nathalie Picard, 2015. "Trip-timing decisions and congestion with household scheduling preferences," Post-Print hal-01311128, HAL.
      • André de Palma & Robin Lindsey & Nathalie Picard, 2015. "Trip-timing decisions and congestion with household scheduling preferences," Working Papers hal-01104868, HAL.
      • André De Palma & Robin Lindsey & Nathalie Picard, 2015. "Trip-timing decisions and congestion with household scheduling preferences," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01311128, HAL.
      • Nathalie Picard & André de Palma & Robin Lindsey, 2015. "Trip-timing decisions and congestion with household scheduling preferences," Post-Print hal-02979918, HAL.
      • Nathalie Picard & André de Palma & Robin Lindsey, 2015. "Trip-timing decisions and congestion with household scheduling preferences," THEMA Working Papers 2015-12, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
   2. Vincent A.C. van den Berg & Erik T. Verhoef, 2015. "Robot Cars and Dynamic Bottleneck Congestion: The Effects on Capacity, Value of Time and Preference Heterogeneity," Tinbergen Institute Discussion Papers 15-062/VIII, Tinbergen Institute, revised 11 Jul 2016.
   3. van den Berg, Vincent A.C. & Verhoef, Erik T., 2016. "Autonomous cars and dynamic bottleneck congestion: The effects on capacity, value of time and preference heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 43-60.
   4. Pudāne, Baiba, 2019. "Departure Time Choice and Bottleneck Congestion with Automated Vehicles: Role of On-board Activities," MPRA Paper 96328, University Library of Munich, Germany.
   5. Sergejs Gubins & Erik T. Verhoef, 2012. "Dynamic Congestion and Urban Equilibrium," Tinbergen Institute Discussion Papers 12-137/VIII, Tinbergen Institute.
   6. Gubins, Sergejs & Verhoef, Erik T., 2014. "Dynamic bottleneck congestion and residential land use in the monocentric city," Journal of Urban Economics, Elsevier, vol. 80(C), pages 51-61.

2. Sergejs Gubins & Erik T. Verhoef & Thomas de Graaff, 2010. "Welfare Effects of Road Pricing and Traffic Information under Alternative Ownership Regimes," Tinbergen Institute Discussion Papers 10-091/3, Tinbergen Institute.
   • Gubins, Sergejs & Verhoef, Erik T. & de Graaff, Thomas, 2012. "Welfare effects of road pricing and traffic information under alternative ownership regimes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1304-1317.

   Cited by:

   1. Rouhani, Omid M. & Oliver Gao, H., 2014. "An advanced traveler general information system for Fresno, California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 254-267.

Articles

1. Sergejs Gubins & Jos Ommeren & Thomas Graaff, 2019. "Does new information technology change commuting behavior?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(1), pages 187-210, February.

   Cited by:

   1. Roger Fouquet & Ralph Hippe, 2022. "Twin Transitions of Decarbonisation and Digitalisation: A Historical Perspective on Energy and Information in European Economies," Working Papers 08-22, Association Française de Cliométrie (AFC).
      • Fouquet, Roger & Hippe, Ralph, 2022. "Twin transitions of decarbonisation and digitalisation: a historical perspective on energy and information in European economies," LSE Research Online Documents on Economics 115544, London School of Economics and Political Science, LSE Library.
   2. Stefaniec, Agnieszka & Brazil, William & Whitney, Warren & Caulfield, Brian, 2022. "Desire to work from home: Results of an Irish study," Journal of Transport Geography, Elsevier, vol. 104(C).
   3. Ghinami, Francesca, 2023. "Effects of remote work on population distribution across cities: US evidence from a QSE model," SocArXiv krnzq, Center for Open Science.
   4. João de Abreu e Silva, 2022. "Residential preferences, telework perceptions, and the intention to telework: insights from the Lisbon Metropolitan Area during the COVID‐19 pandemic," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S1), pages 142-161, November.
   5. Zhang, Fan & Meng, Lei & Sun, Wen & Si, Yanwu, 2021. "Information technology and the labor market in China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 156-168.
   6. de Vos, Duco & van Ham, Maarten & Meijers, Evert J., 2019. "Working from Home and Commuting: Heterogeneity over Time, Space, and Occupations," IZA Discussion Papers 12578, Institute of Labor Economics (IZA).
   7. Andrew Hook & Victor Court & Benjamin K Sovacool & Steven Sorrell, 2020. "A Systematic Review of the Energy and Climate Impacts of Teleworking," Working Papers hal-03192905, HAL.

2. Gubins, Sergejs & Verhoef, Erik T., 2014. "Dynamic bottleneck congestion and residential land use in the monocentric city," Journal of Urban Economics, Elsevier, vol. 80(C), pages 51-61.

   Cited by:

   1. Takayama, Yuki, 2014. "Bottleneck congestion and distribution of work start times: The economics of staggered work hours revisited," MPRA Paper 59033, University Library of Munich, Germany.
      • Takayama, Yuki, 2015. "Bottleneck congestion and distribution of work start times: The economics of staggered work hours revisited," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 830-847.
   2. Konagane, Joji & Kono, Tatsuhito, 2021. "Heterogeneous Households’ Choices of Departure Time and Residential Location in a Multiple-origin Single-destination Rail System: Market Equilibrium and the First-best Solution," MPRA Paper 108507, University Library of Munich, Germany.
   3. Xu, Shu-Xian & Liu, Tian-Liang & Huang, Hai-Jun & Liu, Ronghui, 2018. "Mode choice and railway subsidy in a congested monocentric city with endogenous population distribution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 413-433.
   4. Thembani Moyo & Siphiwe Mbatha & Oluwayemi-Oniya Aderibigbe & Trynos Gumbo & Innocent Musonda, 2022. "Assessing Spatial Variations of Traffic Congestion Using Traffic Index Data in a Developing City: Lessons from Johannesburg, South Africa," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
   5. Takayama, Yuki & Kuwahara, Masao, 2017. "Bottleneck congestion and residential location of heterogeneous commuters," Journal of Urban Economics, Elsevier, vol. 100(C), pages 65-79.
      • Takayama, Yuki & Kuwahara, Masao, 2016. "Bottleneck congestion and residential location of heterogeneous commuters," MPRA Paper 68940, University Library of Munich, Germany.
   6. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.
   7. Duco Vos & Evert Meijers & Maarten Ham, 2018. "Working from home and the willingness to accept a longer commute," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 375-398, September.
      • de Vos, Duco & Meijers, Evert J. & van Ham, Maarten, 2017. "Working from Home and the Willingness to Accept a Longer Commute," IZA Discussion Papers 10875, Institute of Labor Economics (IZA).
   8. Jasper Knockaert & Erik T. Verhoef & Jan Rouwendal, 2010. "Bottleneck Congestion: Differentiating the Coarse Charge," Tinbergen Institute Discussion Papers 10-097/3, Tinbergen Institute.
      • Knockaert, Jasper & Verhoef, Erik T. & Rouwendal, Jan, 2016. "Bottleneck congestion: Differentiating the coarse charge," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 59-73.
   9. Deng, Zhongqi & Qin, Ming & Song, Shunfeng, 2020. "Re-study on Chinese city size and policy formation," China Economic Review, Elsevier, vol. 60(C).
   10. 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.
   11. Liu, Peng & Xu, Shu-Xian & Ong, Ghim Ping & Tian, Qiong & Ma, Shoufeng, 2021. "Effect of autonomous vehicles on travel and urban characteristics," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 128-148.
   12. Fosgerau, Mogens & Kim, Jinwon, 2019. "Commuting and land use in a city with bottlenecks: Theory and evidence," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 182-204.
   13. Takayama, Yuki, 2018. "Time-varying congestion tolling and urban spatial structure," MPRA Paper 89896, University Library of Munich, Germany.
   14. Akamatsu, Takashi & Wada, Kentaro & Iryo, Takamasa & Hayashi, Shunsuke, 2021. "A new look at departure time choice equilibrium models with heterogeneous users," Transportation Research Part B: Methodological, Elsevier, vol. 148(C), pages 152-182.
   15. Small, Kenneth A., 2015. "The bottleneck model: An assessment and interpretation," Economics of Transportation, Elsevier, vol. 4(1), pages 110-117.
   16. Fan, Wenbo & Xiao, Feng & Nie, Yu (Macro), 2022. "Managing bottleneck congestion with tradable credits under asymmetric transaction cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
   17. André de Palma & Zhi-Chun Li & De-Ping Yu, 2023. "An analytical model for residential location choices of heterogeneous households in a monocentric city with stochastic bottleneck congestion," THEMA Working Papers 2023-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
   18. Takayama, Yuki & Kuwahara, Masao, 2016. "Scheduling preferences, parking competition, and bottleneck congestion: A model of trip timing and parking location choices by heterogeneous commuters," MPRA Paper 68938, University Library of Munich, Germany.
   19. Carmen Zornoza-Gallego, 2022. "Means of Transport and Population Distribution in Metropolitan Areas: An Evolutionary Analysis of the Valencia Metropolitan Area," Land, MDPI, vol. 11(5), pages 1-18, April.
   20. Takayama, Yuki, 2020. "Who gains and who loses from congestion pricing in a monocentric city with a bottleneck?," Economics of Transportation, Elsevier, vol. 24(C).
   21. Xu, Shu-Xian & Liu, Ronghui & Liu, Tian-Liang & Huang, Hai-Jun, 2018. "Pareto-improving policies for an idealized two-zone city served by two congestible modes," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 876-891.
   22. Osawa, Minoru & Fu, Haoran & Akamatsu, Takashi, 2018. "First-best dynamic assignment of commuters with endogenous heterogeneities in a corridor network," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 811-831.
   23. Brueckner, Jan K., 2014. "Cordon tolling in a city with congested bridges," Economics of Transportation, Elsevier, vol. 3(4), pages 235-242.
       • Jan K. Brueckner, 2014. "Cordon Tolling in a City with Congested Bridges," CESifo Working Paper Series 4898, CESifo.
   24. Xu, Shu-Xian & Liu, Tian-Liang & Huang, Hai-Jun & Wang, David Z.W., 2021. "Optimizing the number of employment subcenters to decentralize a congested city," Regional Science and Urban Economics, Elsevier, vol. 90(C).
   25. Akamatsu, Takashi & Wada, Kentaro & Iryo, Takamasa & Hayashi, Shunsuke, 2018. "Departure time choice equilibrium and optimal transport problems," MPRA Paper 90361, University Library of Munich, Germany.
   26. Fosgerau, Mogens & Kim, Jinwon & Ranjan, Abhishek, 2018. "Vickrey meets Alonso: Commute scheduling and congestion in a monocentric city," Journal of Urban Economics, Elsevier, vol. 105(C), pages 40-53.

3. Gubins, Sergejs & Verhoef, Erik T. & de Graaff, Thomas, 2012. "Welfare effects of road pricing and traffic information under alternative ownership regimes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1304-1317.
   • Sergejs Gubins & Erik T. Verhoef & Thomas de Graaff, 2010. "Welfare Effects of Road Pricing and Traffic Information under Alternative Ownership Regimes," Tinbergen Institute Discussion Papers 10-091/3, Tinbergen Institute.
   See citations under working paper version above.

More information

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Statistics

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Co-authorship network on CollEc

Featured entries

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1. Latvian Economists

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers 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-URE: Urban and Real Estate Economics (2) 2011-02-26 2011-08-02

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