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Jinwon Kim

Personal Details

First Name:Jinwon
Middle Name:
Last Name:Kim
Suffix:
RePEc Short-ID:pki374
[This author has chosen not to make the email address public]
https://sites.google.com/site/jinwonk97/
35 Baekbeom-ro, Mapo-gu, Seoul 04107, Korea
Terminal Degree:2012 Department of Economics; University of California-Irvine (from RePEc Genealogy)

Affiliation

College of Economics
Sogang University

Seoul, South Korea
https://econ.sogang.ac.kr/
RePEc:edi:ccsogkr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Jinwon Kim & Jucheol Moon & Dongyun Yang, 2024. "Pigouvian Congestion Tolls and the Welfare Gain: Estimates for California Freeways," Working Papers 2402, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
  2. Jinwon Kim & Jucheol Moon, 2022. "Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data," Working Papers 2201, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
  3. Jinwon Kim & Dede Long, 2022. "What Flattened the House-Price Gradient? The Role of Work-from-Home and Decreased Commuting Cost," Working Papers 2205, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
  4. Kim, Jinwon, 2015. "Vehicle Fuel-Efficiency Choices, Emission Externalities, and Urban Sprawl," MPRA Paper 66922, University Library of Munich, Germany.
  5. Kim, Jinwon & Brownstone, David, 2013. "The Impact of Residential Density on Vehicle Usage and Fuel Consumption: Evidence from National Samples," MPRA Paper 47785, University Library of Munich, Germany.
  6. Kim, Jinwon, 2012. "Financial Repression and Housing Investment: An Analysis of the Korean Chonsei," MPRA Paper 47586, University Library of Munich, Germany, revised 01 May 2013.
  7. Kim, Jinwon, 2012. "Endogenous Vehicle-Type Choices in a Monocentric City," MPRA Paper 47589, University Library of Munich, Germany.
  8. Kim, Jinwon & Brownstone, David, 2010. "The impact of residential density on vehicle usage and fuel consumption," University of California Transportation Center, Working Papers qt31m0w2x3, University of California Transportation Center.

Articles

  1. Jinwon Kim & Dede Long, 2024. "Working from home, commuting time, and intracity house‐price gradients," Journal of Regional Science, Wiley Blackwell, vol. 64(3), pages 866-895, June.
  2. Jinwon Kim & Jucheol Moon, 2024. "Congestion and scheduling preferences of car commuters in California: estimates using big data," Journal of Economic Geography, Oxford University Press, vol. 24(1), pages 145-170.
  3. Kim, Jinwon, 2022. "Does roadwork improve road speed? Evidence from urban freeways in California," Regional Science and Urban Economics, Elsevier, vol. 93(C).
  4. 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.
  5. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
  6. 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.
  7. Kim, Jinwon, 2016. "Vehicle fuel-efficiency choices, emission externalities, and urban sprawl," Economics of Transportation, Elsevier, vol. 5(C), pages 24-36.
  8. Kim, Jinwon & Brownstone, David, 2013. "The impact of residential density on vehicle usage and fuel consumption: Evidence from national samples," Energy Economics, Elsevier, vol. 40(C), pages 196-206.
  9. Kim, Jinwon, 2013. "Financial repression and housing investment: An analysis of the Korean chonsei," Journal of Housing Economics, Elsevier, vol. 22(4), pages 338-358.
  10. Kim, Jinwon, 2012. "Endogenous vehicle-type choices in a monocentric city," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 749-760.

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. Jinwon Kim & Jucheol Moon, 2022. "Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data," Working Papers 2201, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

    Cited by:

    1. Jinwon Kim & Dede Long, 2022. "What Flattened the House-Price Gradient? The Role of Work-from-Home and Decreased Commuting Cost," Working Papers 2205, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

  2. Kim, Jinwon, 2015. "Vehicle Fuel-Efficiency Choices, Emission Externalities, and Urban Sprawl," MPRA Paper 66922, University Library of Munich, Germany.

    Cited by:

    1. Marz, Waldemar & Goetzke, Frank, 2022. "CAFE in the city — A spatial analysis of fuel economy standards," Journal of Environmental Economics and Management, Elsevier, vol. 115(C).
    2. Zhi-Chun Li Author-Name : Wen-Jing Liu Author-Name : André de Palma, "undated". "Spatial heterogeneity in vehicle license plate lottery rationing," THEMA Working Papers 2024-11, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Marz, Waldemar & Şen, Suphi, 2022. "Does telecommuting reduce commuting emissions?," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).
    4. Waldemar Marz, 2019. "Complex dimensions of climate policy: the role of political economy, capital markets, and urban form," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 85, September.
    5. Basso, Leonardo J. & Navarro, Matias & Silva, Hugo E., 2021. "Public transport and urban structure," Economics of Transportation, Elsevier, vol. 28(C).
    6. 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.

  3. Kim, Jinwon & Brownstone, David, 2013. "The Impact of Residential Density on Vehicle Usage and Fuel Consumption: Evidence from National Samples," MPRA Paper 47785, University Library of Munich, Germany.

    Cited by:

    1. Melanie Krause & André Seidel, 2020. "Land Scarcity and Urban Density within Cities," CESifo Working Paper Series 8660, CESifo.
    2. Fernando Rubiera-Morollón & Ruben Garrido-Yserte, 2020. "Recent Literature about Urban Sprawl: A Renewed Relevance of the Phenomenon from the Perspective of Environmental Sustainability," Sustainability, MDPI, vol. 12(16), pages 1-14, August.
    3. Chai, Jian & Yang, Ying & Wang, Shouyang & Lai, Kin Keung, 2016. "Fuel efficiency and emission in China's road transport sector: Induced effect and rebound effect," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 188-197.
    4. Leung, Kevin Y.K. & Astroza, Sebastian & Loo, Becky P.Y. & Bhat, Chandra R., 2019. "An environment-people interactions framework for analysing children's extra-curricular activities and active transport," Journal of Transport Geography, Elsevier, vol. 74(C), pages 341-358.
    5. Bhat, Chandra R., 2024. "Transformation-based flexible error structures for choice modeling," Journal of choice modelling, Elsevier, vol. 53(C).
    6. Singh, Abhilash C. & Faghih Imani, Ahmadreza & Sivakumar, Aruna & Luna Xi, Yang & Miller, Eric J., 2024. "A joint analysis of accessibility and household trip frequencies by travel mode," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    7. Ahfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2017. "The compact city in empirical research: A quantitative literature review," LSE Research Online Documents on Economics 83638, London School of Economics and Political Science, LSE Library.
    8. Song, Siqi & Diao, Mi & Feng, Chen-Chieh, 2016. "Individual transport emissions and the built environment: A structural equation modelling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 206-219.
    9. David Brownstone & Hao (Audrey) Fang, 2014. "A vehicle ownership and utilization choice model with endogenous residential density," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 135-151.
    10. Bhat, Chandra R. & Mondal, Aupal, 2022. "A New Flexible Generalized Heterogeneous Data Model (GHDM) with an Application to Examine the Effect of High Density Neighborhood Living on Bicycling Frequency," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 244-266.
    11. Bin-Nun, Amitai Y. & Binamira, Isabel, 2020. "A framework for the impact of highly automated vehicles with limited operational design domains," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 174-188.
    12. Bhat, Chandra R. & Astroza, Sebastian & Sidharthan, Raghuprasad & Alam, Mohammad Jobair Bin & Khushefati, Waleed H., 2014. "A joint count-continuous model of travel behavior with selection based on a multinomial probit residential density choice model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 31-51.
    13. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    14. Gabriel M. Ahlfeldt & Elisabetta Pietrostefani, 2017. "The Economic Effects of Density: A Synthesis," SERC Discussion Papers 0210, Centre for Economic Performance, LSE.
    15. Bhat, Chandra R., 2015. "A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 50-77.
    16. Bhat, Chandra R. & Astroza, Sebastian & Bhat, Aarti C. & Nagel, Kai, 2016. "Incorporating a multiple discrete-continuous outcome in the generalized heterogeneous data model: Application to residential self-selection effects analysis in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 52-76.
    17. Yu, Le & Xie, Binglei & Chan, Edwin H.W., 2019. "Exploring impacts of the built environment on transit travel: Distance, time and mode choice, for urban villages in Shenzhen, China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 132(C), pages 57-71.
    18. Dillon, Harya S. & Saphores, Jean-Daniel & Boarnet, Marlon G., 2015. "The impact of urban form and gasoline prices on vehicle usage: Evidence from the 2009 National Household Travel Survey," Research in Transportation Economics, Elsevier, vol. 52(C), pages 23-33.
    19. Faan Chen & Adriano Borges Costa, 2024. "Exploring the causal effects of the built environment on travel behavior: a unique randomized experiment in Shanghai," Transportation, Springer, vol. 51(1), pages 215-245, February.
    20. Peikun Li & Quantao Yang & Wenbo Lu, 2024. "Nonlinear Relationship of Multi-Source Land Use Features with Temporal Travel Distances at Subway Station Level: Empirical Study from Xi’an City," Land, MDPI, vol. 13(7), pages 1-16, July.
    21. Gabriel M. Ahfeldt & Elisabetta Pietrostefani, 2017. "The Compact City in Empirical Research: A Quantitative Literature Review," SERC Discussion Papers 0215, Centre for Economic Performance, LSE.
    22. Andrew Perumal & David Timmons, 2017. "Contextual Density and US Automotive CO2 Emissions across the Rural–Urban Continuum," International Regional Science Review, , vol. 40(6), pages 590-615, November.
    23. Kim, Jinwon, 2015. "Vehicle Fuel-Efficiency Choices, Emission Externalities, and Urban Sprawl," MPRA Paper 66922, University Library of Munich, Germany.
    24. Chatman, Daniel G. PhD & Barbour, Elisa PhD & Kerzhner, Tamara & Manville, Michael PhD & Reid, Carolina PhD, 2023. "Policies to Improve Transportation Sustainability, Accessibility, and Housing Affordability in the State of California," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt03z7t8r1, Institute of Transportation Studies, UC Berkeley.
    25. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    26. Jaccard, Mark & Murphy, Rose & Zuehlke, Brett & Braglewicz, Morgan, 2019. "Cities and greenhouse gas reduction: Policy makers or policy takers?," Energy Policy, Elsevier, vol. 134(C).
    27. Achim Ahrens & Seán Lyons, 2019. "Changes in Land Cover and Urban Sprawl in Ireland From a Comparative Perspective Over 1990–2012," Land, MDPI, vol. 8(1), pages 1-14, January.
    28. Kotval-K, Zeenat & Vojnovic, Igor, 2016. "A socio-ecological exploration into urban form: The environmental costs of travel," Ecological Economics, Elsevier, vol. 128(C), pages 87-98.
    29. Manville, Michael & Pinski, Miriam, 2020. "Parking behaviour: Bundled parking and travel behavior in American cities," Land Use Policy, Elsevier, vol. 91(C).
    30. Zhang, Linlin & van Lierop, Dea & Ettema, Dick, 2025. "The effect of electric vehicle use on trip frequency and vehicle kilometers traveled (VKT) in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 192(C).
    31. Dascher, Kristof, 2013. "City Silhouette, World Climate," MPRA Paper 48375, University Library of Munich, Germany.

  4. Kim, Jinwon, 2012. "Financial Repression and Housing Investment: An Analysis of the Korean Chonsei," MPRA Paper 47586, University Library of Munich, Germany, revised 01 May 2013.

    Cited by:

    1. Chen, Jie & Wu, Fulong & Lu, Tingting, 2022. "The financialization of rental housing in China: A case study of the asset-light financing model of long-term apartment rental," Land Use Policy, Elsevier, vol. 112(C).
    2. Yun, Sungjin & Choi, Hoon, 2025. "Circumventing rent controls with tenants’ maintenance fees: Evidence from Korea," Journal of Housing Economics, Elsevier, vol. 67(C).
    3. Sanghyun Kim & Juhyung Kim & Jaejun Kim, 2016. "Structural Changes in the Korean Housing Market before and after Macroeconomic Fluctuations," Sustainability, MDPI, vol. 8(5), pages 1-20, April.
    4. Sam-Ho Lee, 2021. "Credit Constraint and Excess Return: The Case of Chonsei Leases in Korea," Korean Economic Review, Korean Economic Association, vol. 37, pages 157-197.
    5. Moon, Byunggeor, 2018. "Housing investment, default risk, and expectations: Focusing on the chonsei market in Korea," Regional Science and Urban Economics, Elsevier, vol. 71(C), pages 80-90.
    6. Park, Sung Sik & Pyun, Ju Hyun, 2020. "Between two extreme practices of rent-only and deposit-only leases in Korea: Default risk vs. cost of capital," Regional Science and Urban Economics, Elsevier, vol. 85(C).
    7. Lee, Junhee & Song, Joonhyuk, 2015. "Housing and business cycles in Korea: A multi-sector Bayesian DSGE approach," Economic Modelling, Elsevier, vol. 45(C), pages 99-108.
    8. Younghoon Lee & Sanghyo Lee & Jaejun Kim, 2017. "Analysis of the Dynamic Relationship between Fluctuations in the Korean Housing Market and the Occurrence of Unsold New Housing Stocks," Sustainability, MDPI, vol. 9(1), pages 1-23, January.
    9. Koo, Kang Mo & Kim, Jinyoo, 2025. "Putting a ceiling on housing costs: The aftermath of nationwide rent control in the case of jeonse system in Korea," Journal of Housing Economics, Elsevier, vol. 67(C).
    10. Ahn, Seryoong & Ryu, Doojin, 2024. "Optimal chonsei to monthly rent conversion choice given borrowing constraints," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 28-42.
    11. Kim, Kyung-Hwan & You, Seung Dong, 2021. "The Global Financial Crisis and transition out of homeownership in Korea," Journal of Housing Economics, Elsevier, vol. 54(C).
    12. Joung Oh Park & Jinhee Choi & Guy Ngayo, 2023. "Predicting the Non-Return of Chonsei Lease Deposits in the Republic of Korea," JRFM, MDPI, vol. 16(10), pages 1-14, October.
    13. Kim, Daehwan & Nilsen, Jeffrey, 2021. "Testing the presence of borrowing constraints from consumption responses to housing deposit changes," Journal of Asian Economics, Elsevier, vol. 74(C).
    14. So Jung Hwang & Hyunduk Suh, 2018. "Analyzing Dynamic Connectedness in Korean Housing Markets," Inha University IBER Working Paper Series 2018-4, Inha University, Institute of Business and Economic Research.

  5. Kim, Jinwon, 2012. "Endogenous Vehicle-Type Choices in a Monocentric City," MPRA Paper 47589, University Library of Munich, Germany.

    Cited by:

    1. Ortuño-Padilla, Armando & Fernández-Aracil, Patricia, 2013. "Impact of fuel price on the development of the urban sprawl in Spain," Journal of Transport Geography, Elsevier, vol. 33(C), pages 180-187.
    2. Julius Berger & Waldemar Marz, 2024. "Fuel Economy Standards and Public Transport," CESifo Working Paper Series 11061, CESifo.
    3. Marz, Waldemar & Goetzke, Frank, 2022. "CAFE in the city — A spatial analysis of fuel economy standards," Journal of Environmental Economics and Management, Elsevier, vol. 115(C).
    4. Marz, Waldemar & Şen, Suphi, 2022. "Does telecommuting reduce commuting emissions?," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).
    5. Jos van Ommeren & Jesper de Groote & Giuliano Mingardo, 2013. "Residential Parking Permits and Parking Supply," Tinbergen Institute Discussion Papers 13-059/VIII, Tinbergen Institute.
    6. Waldemar Marz, 2019. "Complex dimensions of climate policy: the role of political economy, capital markets, and urban form," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 85, September.
    7. Kim, Jinwon, 2015. "Vehicle Fuel-Efficiency Choices, Emission Externalities, and Urban Sprawl," MPRA Paper 66922, University Library of Munich, Germany.
    8. Basso, Leonardo J. & Navarro, Matias & Silva, Hugo E., 2021. "Public transport and urban structure," Economics of Transportation, Elsevier, vol. 28(C).

  6. Kim, Jinwon & Brownstone, David, 2010. "The impact of residential density on vehicle usage and fuel consumption," University of California Transportation Center, Working Papers qt31m0w2x3, University of California Transportation Center.

    Cited by:

    1. Kenneth Gillingham & Anders Munk-Nielsen, 2016. "A Tale of Two Tails: Commuting and the Fuel Price Response in Driving," NBER Working Papers 22937, National Bureau of Economic Research, Inc.

Articles

  1. Jinwon Kim & Jucheol Moon, 2024. "Congestion and scheduling preferences of car commuters in California: estimates using big data," Journal of Economic Geography, Oxford University Press, vol. 24(1), pages 145-170.

    Cited by:

    1. Jinwon Kim & Jucheol Moon & Dongyun Yang, 2024. "Pigouvian Congestion Tolls and the Welfare Gain: Estimates for California Freeways," Working Papers 2402, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    2. Jinwon Kim & Dede Long, 2024. "Working from home, commuting time, and intracity house‐price gradients," Journal of Regional Science, Wiley Blackwell, vol. 64(3), pages 866-895, June.

  2. Kim, Jinwon, 2022. "Does roadwork improve road speed? Evidence from urban freeways in California," Regional Science and Urban Economics, Elsevier, vol. 93(C).

    Cited by:

    1. Jinwon Kim & Jucheol Moon & Dongyun Yang, 2024. "Pigouvian Congestion Tolls and the Welfare Gain: Estimates for California Freeways," Working Papers 2402, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    2. Ioulia Ossokina & Jos van Ommeren & Henk van Mourik, "undated". "Do highway widening reduce congestion?," Tinbergen Institute Discussion Papers 22-010/VII, Tinbergen Institute.
    3. Herzog, Ian, 2024. "Microgeographic speed, reliability, and traffic externalities," Economics of Transportation, Elsevier, vol. 39(C).
    4. Liming Chen & Rana Hasan & Yi Jiang & Andrii Parkhomenko, 2023. "Faster, Taller, Better: Transit Improvements and Land Use Policies," ADB Economics Working Paper Series 702, Asian Development Bank.

  3. 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.

    Cited by:

    1. Seidel, Tobias & Wickerath, Jan, 2020. "Rush hours and urbanization," Regional Science and Urban Economics, Elsevier, vol. 85(C).
    2. Li, Zhi-Chun & Yu, De-Ping & de Palma, André, 2024. "Bottleneck congestion and urban spatial structure with heterogeneous households: Equilibrium, capacity expansion and congestion tolling," Journal of Urban Economics, Elsevier, vol. 144(C).
    3. 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.
    4. Jinwon Kim & Jucheol Moon, 2022. "Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data," Working Papers 2201, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    5. Tong, Zhaomin & Zhang, Ziyi & An, Rui & Liu, Yaolin & Chen, Huiting & Xu, Jiwei & Fu, Shihang, 2024. "Detecting anomalous commuting patterns: Mismatch between urban land attractiveness and commuting activities," Journal of Transport Geography, Elsevier, vol. 116(C).
    6. 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).
    7. Dyckerhoff, Hans & Hörcher, Daniel & Graham, Daniel J., 2025. "Heterogeneous radial commuting bottlenecks with agglomeration economies: Methods and calibration for Bogotá," Transportation Research Part A: Policy and Practice, Elsevier, vol. 192(C).
    8. Zhi-Chun Li & De-Ping Yu & André de Palma, 2024. "Bottleneck congestion and urban spatial structure with heterogeneous households: Equilibrium, capacity expansion and congestion tolling," THEMA Working Papers 2024-04, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    9. Hörcher, Daniel & De Borger, Bruno & Seifu, Woubit & Graham, Daniel J., 2020. "Public transport provision under agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    10. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    11. 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.

  4. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.

    Cited by:

    1. Jinwon Kim & Jucheol Moon & Dongyun Yang, 2024. "Pigouvian Congestion Tolls and the Welfare Gain: Estimates for California Freeways," Working Papers 2402, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    2. Bi, Hui & Ye, Zhirui & Zhao, Jiahui & Chen, Enhui, 2020. "Real trip costs: Modelling intangible costs of urban online car-hailing in Haikou," Transport Policy, Elsevier, vol. 96(C), pages 128-140.
    3. Tscharaktschiew, Stefan & Reimann, Felix, 2021. "On employer-paid parking and parking (cash-out) policy: A formal synthesis of different perspectives," Transport Policy, Elsevier, vol. 110(C), pages 499-516.
    4. Raghu Bir Bista & Surendra Paneru, 2021. "Does Road Traffic Congestion Increase Fuel Consumption of Households in Kathmandu City?," Journal of Economic Impact, Science Impact Publishers, vol. 3(2), pages 67-79.
    5. Qiu, Feng & Tong, Qingmeng, 2021. "A spatial difference-in-differences approach to evaluate the impact of light rail transit on property values," Economic Modelling, Elsevier, vol. 99(C).
    6. Witsarut Achariyaviriya & Yoshitsugu Hayashi & Hiroyuki Takeshita & Masanobu Kii & Varameth Vichiensan & Thanaruk Theeramunkong, 2021. "Can Space–Time Shifting of Activities and Travels Mitigate Hyper-Congestion in an Emerging Megacity, Bangkok? Effects on Quality of Life and CO 2 Emission," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    7. Jinwon Kim & Jucheol Moon, 2022. "Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data," Working Papers 2201, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    8. Kim, Jinwon, 2022. "Does roadwork improve road speed? Evidence from urban freeways in California," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    9. 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.
    10. 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.
    11. Kapatsila, Bogdan & Collins, Damian & Grisé, Emily, 2024. "Assessing mode-specific transport affordability in a car-centric city," Journal of Transport Geography, Elsevier, vol. 114(C).

  5. 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.

    Cited by:

    1. 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.
    2. Yilin Bi & Jiangwei Liu & Zhuang Liu & Suhao Wei, 2024. "Impact of New Energy Vehicle Charging Point Subsidy Policy on Subway Demand: Evidence from Beijing’s Real Estate Market," Sustainability, MDPI, vol. 16(9), pages 1-18, May.
    3. Li, Zhi-Chun & Yu, De-Ping & de Palma, André, 2024. "Bottleneck congestion and urban spatial structure with heterogeneous households: Equilibrium, capacity expansion and congestion tolling," Journal of Urban Economics, Elsevier, vol. 144(C).
    4. 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.
    5. Jinwon Kim & Jucheol Moon, 2022. "Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data," Working Papers 2201, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    6. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.
    7. 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).
    8. Chen, Enming & Zhou, Zhongbao & Li, Ruiyang & Chang, Zhongxiang & Shi, Jianmai, 2024. "The multi-fleet delivery problem combined with trucks, tricycles, and drones for last-mile logistics efficiency requirements under multiple budget constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    9. 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.
    10. Dantsuji, Takao & Takayama, Yuki & Fukuda, Daisuke, 2023. "Perimeter control in a mixed bimodal bathtub model," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 267-291.
    11. Zhi-Chun Li & De-Ping Yu & André de Palma, 2024. "Bottleneck congestion and urban spatial structure with heterogeneous households: Equilibrium, capacity expansion and congestion tolling," THEMA Working Papers 2024-04, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    12. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    13. 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.
    14. 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.
    15. 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.
    16. Zhang, Qing & Li, Zeyi & Pang, Yufeng, 2025. "Can the opening of high-speed rail (HSR) stimulate residents' consumption? --An interpretation based on the clustering effect of innovation factors," Transport Policy, Elsevier, vol. 163(C), pages 384-393.
    17. Miaoxi Zhao & Yuexi Yao & Galuh Syahbana Indraprahasta, 2023. "Reflection on Guangzhou’s Strategic Spatial Planning: Current Status, Conflicts, and Dilemmas," Land, MDPI, vol. 12(11), pages 1-21, October.
    18. Takayama, Yuki, 2018. "Time-varying congestion tolling and urban spatial structure," MPRA Paper 89896, University Library of Munich, Germany.

  6. Kim, Jinwon, 2016. "Vehicle fuel-efficiency choices, emission externalities, and urban sprawl," Economics of Transportation, Elsevier, vol. 5(C), pages 24-36.
    See citations under working paper version above.
  7. Kim, Jinwon & Brownstone, David, 2013. "The impact of residential density on vehicle usage and fuel consumption: Evidence from national samples," Energy Economics, Elsevier, vol. 40(C), pages 196-206.
    See citations under working paper version above.
  8. Kim, Jinwon, 2013. "Financial repression and housing investment: An analysis of the Korean chonsei," Journal of Housing Economics, Elsevier, vol. 22(4), pages 338-358.
    See citations under working paper version above.
  9. Kim, Jinwon, 2012. "Endogenous vehicle-type choices in a monocentric city," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 749-760.
    See citations under working paper version above.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 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-TRE: Transport Economics (5) 2013-06-30 2015-10-04 2022-09-19 2022-11-21 2024-06-17. Author is listed
  2. NEP-URE: Urban and Real Estate Economics (5) 2013-06-30 2015-10-04 2022-09-19 2022-11-21 2024-06-17. Author is listed
  3. NEP-ENE: Energy Economics (2) 2013-06-30 2015-10-04
  4. NEP-ENV: Environmental Economics (2) 2015-10-04 2024-06-17
  5. NEP-BIG: Big Data (1) 2022-11-21
  6. NEP-DCM: Discrete Choice Models (1) 2013-06-30
  7. NEP-PBE: Public Economics (1) 2024-06-17
  8. NEP-REG: Regulation (1) 2015-10-04
  9. NEP-UPT: Utility Models and Prospect Theory (1) 2022-11-21

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