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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.4 20241031//EN" "https://jats.nlm.nih.gov/archiving/1.4/JATS-archive-oasis-article1-4-mathml3.dtd">
<article xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" xml:lang="ru"><front><journal-meta><issn publication-format="print">2411-1406</issn><issn publication-format="electronic">2411-1406</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.17059/ekon.reg.2025-2-6</article-id><title-group xml:lang="en"><article-title>Assessment of the Impact of the International North-South Transport Corridor on Transit Travel Time in Regional and Global Cargo Transportation</article-title></title-group><title-group xml:lang="ru"><article-title>Оценка влияния международного транспортного коридора «Север-Юг» на транзитное время движения региональных и мировых грузопотоков</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6634-1313</contrib-id><name-alternatives><name xml:lang="en"><surname>Krylatov </surname><given-names>Alexander Yu. </given-names></name><name xml:lang="ru"><surname>Крылатов</surname><given-names>Александр Юрьевич </given-names></name></name-alternatives><email>aykrylatov@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Fedorova</surname><given-names>Marina A. </given-names></name><name xml:lang="ru"><surname>Федорова</surname><given-names>Марина Андреевна </given-names></name></name-alternatives><email>mfedor1532@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6240-177X</contrib-id><name-alternatives><name xml:lang="en"><surname>Raevskaya </surname><given-names>Anastasiya P. </given-names></name><name xml:lang="ru"><surname>Раевская</surname><given-names>Анастасия Павловна </given-names></name></name-alternatives><email>a.raevskaya@spbu.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Saint Petersburg State University</institution></aff><aff><institution xml:lang="ru">Санкт-Петербургский государственный университет</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2025-03-26" publication-format="electronic"/><volume>21</volume><issue>2</issue><fpage>332</fpage><lpage>348</lpage><history><date date-type="received" iso-8601-date="2024-12-16"/><date date-type="accepted" iso-8601-date="2025-02-14"/></history><permissions><copyright-statement xml:lang="ru">Copyright © 2025  </copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru"> </copyright-holder><ali:free_to_read/><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><ali:license_ref>https://creativecommons.org/licenses/by/4.0/</ali:license_ref></license></permissions><self-uri content-type="html" mimetype="text/html" xlink:title="article webpage" xlink:href="https://www.economyofregions.org/ojs/index.php/er/article/view/1086">https://www.economyofregions.org/ojs/index.php/er/article/view/1086</self-uri><self-uri content-type="pdf" mimetype="application/pdf" xlink:title="article pdf" xlink:href="https://www.economyofregions.org/ojs/index.php/er/article/download/1086/422">https://www.economyofregions.org/ojs/index.php/er/article/download/1086/422</self-uri><abstract xml:lang="en"><p>Global and regional challenges are reshaping trade relations, supply chains, and cargo transportation routes. In this context, the International North-South Transport Corridor (INSTC) is gaining increased political and economic importance. This study evaluates congestion along sections of the corridor by analysing demand and infrastructure capacity in the regional transit logistics system. Using a game-theoretic model, the competitive behaviour of cargo flows under limited network capacity was simulated. Results indicate that with projected transportation demand between Saint Petersburg and Mumbai reaching 41 million tons per year by 2030, transit times between Europe and Asia via the INSTC could be reduced by 20–40 % compared to existing routes. The corridor remains attractive for transit volumes up to 80 million tons annually, and with targeted investments to expand capacity on 11 key network sections, it could handle up to 100 million tons per year. In the long term, the INSTC is expected to support 80 to 100 million tons annually, maintaining competitiveness in the global freight network and fostering regional economic development. Further investments in border crossings and transshipment hubs could expand capacity beyond 100 million tons, strengthening the corridor as a viable alternative for routes between Asia, Europe, India, and North America. These findings can inform development plans for the INSTC, transport policies of participating countries, and contribute to improving local living standards.</p></abstract><abstract xml:lang="ru"><p>Современные глобальные и региональные вызовы сказываются на торговых связях, цепях поставок и маршрутах транспортировки грузов. В складывающихся на текущий момент условиях международный транспортный коридор (МТК) «Север-Юг» приобретает дополнительную политическую и экономическую значимость. Настоящее исследование направлено на оценку загруженности участков транспортного коридора с учётом спроса на перемещение и доступных инфраструктурных мощностей региональной транзитной транспортно-логистической системы. Применён теоретико-игровой подход к моделированию конкурентного поведения грузовых потоков в сети в условиях ограниченных пропускных способностей её элементов. В результате расчётов было установлено, что при прогнозируемом к 2030 г. спросе на перевозки между Санкт-Петербургом и Мумбаи в объёме 41 млн т в год движение грузов между Европой и Азией через МТК «Север-Юг» окажется быстрее на 20-40 %, чем через альтернативные маршруты, при этом выигрыш в транзитном времени движения через транспортный коридор на указанных направлениях будет сохранятся при наращивании транзитного грузопотока вплоть до 80 млн т в год, а при капитальных вложениях в пропускную способность 11 выявленных участков сети — вплоть до 100 млн т. Таким образом, в долгосрочной перспективе МТК «Север-Юг» сможет обслуживать 80-100 млн т грузов в год, оставаясь конкурентной транспортной магистралью в сети мировых грузопотоков и способствуя развитию бизнеса вкупе с ростом рабочих мест в регионе. Более того, при реализации крупных инвестиционных проектов по расширению ряда пограничных переходов и перевалочных узлов транспортный коридор будет оставаться конкурентоспособной альтернативой для направлений Азия — Европа и Индия — Северная Америка при транзитном грузопотоке даже большем, чем 100 млн т в год. Полученные результаты могут использоваться для корректировки проектов развития МТК «Север-Юг», программ развития транспортного комплекса стран-участниц и повышения уровня жизни населения рассматриваемого региона.</p></abstract><kwd-group xml:lang="en"><kwd>multimodal transportation</kwd><kwd>intermodal transportation</kwd><kwd>freight flow assignment</kwd><kwd>modelling</kwd><kwd>prediction</kwd><kwd>optimization of the transportation system</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>мультимодальные перевозки</kwd><kwd>интермодальные перевозки</kwd><kwd>распределение грузопотоков</kwd><kwd>моделирование</kwd><kwd>прогнозирование</kwd><kwd>оптимизация транспортной системы</kwd></kwd-group></article-meta></front><body/><back><ack xml:lang="en"><p>This work was supported by the Russian Science Foundation, project No. 22-71-10063, “Development of intelligent tools for optimization multimodal flow assignment systems in congested networks of heterogeneous products”.</p></ack><ack xml:lang="ru"><p>Исследование выполнено при финансовой поддержке Российского научного фонда (проект № 22-71-10063 «Разработка интеллектуальных инструментов оптимизации мультимодальных систем распределения потоков в загруженных многопродуктовых сетях»).</p></ack><ref-list><ref id="ref1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Осинцев, Н. А., Рахмангулов, А. Н. (2025). Устойчивое развитие логистических цепей грузопотоков. Москва: Инфра-М, 303.</mixed-citation><mixed-citation xml:lang="en">Agamez-Ariasa, A. del M., &amp; Moyano-Fuentes, J. (2017). Intermodal transport in freight distribution: a literature review. Transport Reviews, 37(6), 782–807. https://doi.org/10.1080/01441647.2017.1297868</mixed-citation></citation-alternatives></ref><ref id="ref2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Широв, А. А., Сапова, Н. Н., Узякова, Е. С., Узяков, Р. М. (2021). Комплексный прогноз спроса на межрегиональные грузовые железнодорожные перевозки. Экономика региона, 17(1), 1–15. http://doi.org/10.17059/ekon.reg.2021-1-1</mixed-citation><mixed-citation xml:lang="en">Alumur, S., &amp; Kara, B. Y. (2008). Network hub location problems: The state of the art. European Journal of Operational Research, 190(1), 1–21. https://doi.org/10.1016/j.ejor.2007.06.008</mixed-citation></citation-alternatives></ref><ref id="ref3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Agamez-Ariasa, A. del M., &amp; Moyano-Fuentes, J. (2017). Intermodal transport in freight distribution: a literature review. Transport Reviews, 37(6), 782–807. https://doi.org/10.1080/01441647.2017.1297868</mixed-citation><mixed-citation xml:lang="en">Basallo-Triana, M. J., Vidal-Holguín, C. J., &amp; Bravo-Bastidas, J. J. (2021). Planning and design of intermodal hub networks: A literature review. Computers &amp; Operations Research, 136, 105469. https://doi.org/10.1016/j.cor.2021.105469</mixed-citation></citation-alternatives></ref><ref id="ref4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Alumur, S., &amp; Kara, B. Y. (2008). Network hub location problems: The state of the art. European Journal of Operational Research, 190(1), 1–21. https://doi.org/10.1016/j.ejor.2007.06.008</mixed-citation><mixed-citation xml:lang="en">Battilani, C., Galli, G., Arecco, S., Casarino, B., Granero, A., Lavagna, K., Varna, R., Ventura, M., Revetria, R., &amp; Damiani, L. (2022). Business process re-engineering in public administration: The case study of Western Ligurian Sea Port Authority. Sustainable Futures, 4, 100065. https://doi.org/10.1016/j.sftr.2022.100065</mixed-citation></citation-alternatives></ref><ref id="ref5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Basallo-Triana, M. J., Vidal-Holguín, C. J., &amp; Bravo-Bastidas, J. J. (2021). Planning and design of intermodal hub networks: A literature review. Computers &amp; Operations Research, 136, 105469. https://doi.org/10.1016/j.cor.2021.105469</mixed-citation><mixed-citation xml:lang="en">Boyce, D. E., Janson, B. N., &amp; Eash, R. W. (1981). The effect on equilibrium trip assignment of different link congestion functions. Transportation Research Part A: General, 15(3), 223–232. https://doi.org/10.1016/0191–2607(81)90003-0</mixed-citation></citation-alternatives></ref><ref id="ref6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Battilani, C., Galli, G., Arecco, S., Casarino, B., Granero, A., Lavagna, K., Varna, R., Ventura, M., Revetria, R., &amp; Damiani, L. (2022). Business process re-engineering in public administration: The case study of Western Ligurian Sea Port Authority. Sustainable Futures, 4, 100065. https://doi.org/10.1016/j.sftr.2022.100065</mixed-citation><mixed-citation xml:lang="en">Branco, J. E. H., Bartholomeu, D. B., Junior, P. N. A., &amp; Filho, J. V. C. (2022). Evaluation of the economic and environmental impacts from the addition of new railways to the Brazilian’s transportation network: An application of a network equilibrium model. Transport Policy, 124, 61–69. https://doi.org/10.1016/j.tranpol.2020.03.011</mixed-citation></citation-alternatives></ref><ref id="ref7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Boyce, D. E., Janson, B. N., &amp; Eash, R. W. (1981). The effect on equilibrium trip assignment of different link congestion functions. Transportation Research Part A: General, 15(3), 223–232. https://doi.org/10.1016/0191–2607(81)90003-0</mixed-citation><mixed-citation xml:lang="en">Bröcker, J. (2021). Computable general equilibrium analysis in transportation economics. International encyclopedia of transportation, 520–526. https://doi.org/10.1016/B978-0-08-102671-7.10096-X</mixed-citation></citation-alternatives></ref><ref id="ref8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Branco, J. E. H., Bartholomeu, D. B., Junior, P. N. A., &amp; Filho, J. V. C. (2022). Evaluation of the economic and environmental impacts from the addition of new railways to the Brazilian’s transportation network: An application of a network equilibrium model. Transport Policy, 124, 61–69. https://doi.org/10.1016/j.tranpol.2020.03.011</mixed-citation><mixed-citation xml:lang="en">de Jong, G., Vierth, I., Tavasszy, L., &amp; Ben-Akiva, M. (2013). Recent developments in national and international freight transport models within Europe. Transportation, 40(2), 347–371. http://doi.org/10.1007/s11116-012-9422-9</mixed-citation></citation-alternatives></ref><ref id="ref9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Bröcker, J. (2021). Computable general equilibrium analysis in transportation economics. International encyclopedia of transportation, 520–526. https://doi.org/10.1016/B978-0-08-102671-7.10096-X</mixed-citation><mixed-citation xml:lang="en">Enke, S. (1951). Equilibrium among spatially separated markets: Solution by electric analogue. Econometrica, 19(1), 40–47. https://doi.org/10.2307/1907907</mixed-citation></citation-alternatives></ref><ref id="ref10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">de Jong, G., Vierth, I., Tavasszy, L., &amp; Ben-Akiva, M. (2013). Recent developments in national and international freight transport models within Europe. Transportation, 40(2), 347–371. http://doi.org/10.1007/s11116-012-9422-9</mixed-citation><mixed-citation xml:lang="en">Fareed, A. G., De Felice, F., Forcina, A., &amp; Petrillo, A. (2024). Role and applications of advanced digital technologies in achieving sustainability in multimodal logistics operations: A systematic literature review. Sustainable Futures, 8, 100278. https://doi.org/10.1016/j.sftr.2024.100278</mixed-citation></citation-alternatives></ref><ref id="ref11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Enke, S. (1951). Equilibrium among spatially separated markets: Solution by electric analogue. Econometrica, 19(1), 40–47. https://doi.org/10.2307/1907907</mixed-citation><mixed-citation xml:lang="en">Hossam, N., &amp; Gazder, U. (2024). Estimation of time delay functions for design of traffic systems. Examples and Counterexamples, 6, 100151. https://doi.org/10.1016/j.exco.2024.100151</mixed-citation></citation-alternatives></ref><ref id="ref12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Fareed, A. G., De Felice, F., Forcina, A., &amp; Petrillo, A. (2024). Role and applications of advanced digital technologies in achieving sustainability in multimodal logistics operations: A systematic literature review. Sustainable Futures, 8, 100278. https://doi.org/10.1016/j.sftr.2024.100278</mixed-citation><mixed-citation xml:lang="en">Hosseini, S., &amp; Al Khaled, A. (2021). Freight flow optimization to evaluate the criticality of intermodal surface transportation system infrastructures. Computers &amp; Industrial Engineering, 159, 107522. https://doi.org/10.1016/j.cie.2021.107522</mixed-citation></citation-alternatives></ref><ref id="ref13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Hossam, N., &amp; Gazder, U. (2024). Estimation of time delay functions for design of traffic systems. Examples and Counterexamples, 6, 100151. https://doi.org/10.1016/j.exco.2024.100151</mixed-citation><mixed-citation xml:lang="en">Ishfaq, R., &amp; Sox, C. R. (2011). Hub location–allocation in intermodal logistic networks. European Journal of Operational Research, 210(2), 213–230. https://doi.org/10.1016/j.ejor.2010.09.017</mixed-citation></citation-alternatives></ref><ref id="ref14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Hosseini, S., &amp; Al Khaled, A. (2021). Freight flow optimization to evaluate the criticality of intermodal surface transportation system infrastructures. Computers &amp; Industrial Engineering, 159, 107522. https://doi.org/10.1016/j.cie.2021.107522</mixed-citation><mixed-citation xml:lang="en">Li, L., Wang, J., Wang, H., Jin, X., &amp; Du, L. (2023). Intermodal transportation hub location optimization with government subsidies under the Belt and Road Initiative. Ocean &amp; Coastal Management, 231, 106414. https://doi.org/10.1016/j.ocecoaman.2022.106414</mixed-citation></citation-alternatives></ref><ref id="ref15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Ishfaq, R., &amp; Sox, C. R. (2011). Hub location–allocation in intermodal logistic networks. European Journal of Operational Research, 210(2), 213–230. https://doi.org/10.1016/j.ejor.2010.09.017</mixed-citation><mixed-citation xml:lang="en">Makarova, I., Serikkaliyeva, A., Gubacheva, L., Mukhametdinov, E., Buyvol, P., Barinov, A., Shepelev, V., &amp; Mavlyautdinova, G. (2023). The role of multimodal transportation in ensuring sustainable territorial development: Review of risks and prospects. Sustainability, 15(7), 6309. https://doi.org/10.3390/su15076309</mixed-citation></citation-alternatives></ref><ref id="ref16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Li, L., Wang, J., Wang, H., Jin, X., &amp; Du, L. (2023). Intermodal transportation hub location optimization with government subsidies under the Belt and Road Initiative. Ocean &amp; Coastal Management, 231, 106414. https://doi.org/10.1016/j.ocecoaman.2022.106414</mixed-citation><mixed-citation xml:lang="en">Medić, N., Anišić, Z., Lalić, B., Marjanović, U., &amp; Brezocnik, M. (2019). Hybrid fuzzy multi-attribute decision making model for evaluation of advanced digital technologies in manufacturing: Industry 4.0 perspective. Advances in Production Engineering and Management, 14(4), 483–493. https://doi.org/10.14743/apem2019.4.343</mixed-citation></citation-alternatives></ref><ref id="ref17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Makarova, I., Serikkaliyeva, A., Gubacheva, L., Mukhametdinov, E., Buyvol, P., Barinov, A., Shepelev, V., &amp; Mavlyautdinova, G. (2023). The role of multimodal transportation in ensuring sustainable territorial development: Review of risks and prospects. Sustainability, 15(7), 6309. https://doi.org/10.3390/su15076309</mixed-citation><mixed-citation xml:lang="en">Nekhoroshkov, V., Vakulenko, S., Kurenkov, P., Nekhoroshkov, E., Deruzhinskiy, G., Ignatenko, A., Aroshidze, A., Astafiev, A., Seryapova, I., &amp; Solskaya, I. (2022). Optimization of the international multimodal container transportation. Scientific Journal of Silesian University of Technology. Series Transport, 114, 103–114. https://doi.org/10.20858/sjsutst.2022.114.9</mixed-citation></citation-alternatives></ref><ref id="ref18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Medić, N., Anišić, Z., Lalić, B., Marjanović, U., &amp; Brezocnik, M. (2019). Hybrid fuzzy multi-attribute decision making model for evaluation of advanced digital technologies in manufacturing: Industry 4.0 perspective. Advances in Production Engineering and Management, 14(4), 483–493. https://doi.org/10.14743/apem2019.4.343</mixed-citation><mixed-citation xml:lang="en">Nikolaou, P., &amp; Dimitriou, L. (2024). Temporal integration of the spatial autoregressive model for analyzing European multimodal freight transport demand. Multimodal Transportation, 3(3), 100149. https://doi.org/10.1016/j.multra.2024.100149</mixed-citation></citation-alternatives></ref><ref id="ref19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Nekhoroshkov, V., Vakulenko, S., Kurenkov, P., Nekhoroshkov, E., Deruzhinskiy, G., Ignatenko, A., Aroshidze, A., Astafiev, A., Seryapova, I., &amp; Solskaya, I. (2022). Optimization of the international multimodal container transportation. Scientific Journal of Silesian University of Technology. Series Transport, 114, 103–114. https://doi.org/10.20858/sjsutst.2022.114.9</mixed-citation><mixed-citation xml:lang="en">Osintsev, N. A., &amp; Rakhmangulov, A. N. (2025). Ustoychivoe razvitie logisticheskikh tsepey gruzopotokov [Sustainable development of logistics chains of cargo flows]. Moscow: Infra-М Publ., 303. (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="ref20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Nikolaou, P., &amp; Dimitriou, L. (2024). Temporal integration of the spatial autoregressive model for analyzing European multimodal freight transport demand. Multimodal Transportation, 3(3), 100149. https://doi.org/10.1016/j.multra.2024.100149</mixed-citation><mixed-citation xml:lang="en">Peng, Z., Jia, P., Jin, L., Guo, Z., &amp; Shan, W. (2024). Stable container-route matching in multimodal transport: A case of Yangtze River Economic Belt. Computers &amp; Industrial Engineering, 192, 110218. https://doi.org/10.1016/j.cie.2024.110218</mixed-citation></citation-alternatives></ref><ref id="ref21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Peng, Z., Jia, P., Jin, L., Guo, Z., &amp; Shan, W. (2024). Stable container-route matching in multimodal transport: A case of Yangtze River Economic Belt. Computers &amp; Industrial Engineering, 192, 110218. https://doi.org/10.1016/j.cie.2024.110218</mixed-citation><mixed-citation xml:lang="en">Real, L. B., Contreras, I., Cordeau, J.-F., de Camargo, R. S., &amp; de Miranda, G. (2021). Multimodal hub network design with flexible routes. Transportation Research Part E: Logistics and Transportation Review, 146, 102188. https://doi.org/10.1016/j.tre.2020.102188</mixed-citation></citation-alternatives></ref><ref id="ref22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Real, L. B., Contreras, I., Cordeau, J.-F., de Camargo, R. S., &amp; de Miranda, G. (2021). Multimodal hub network design with flexible routes. Transportation Research Part E: Logistics and Transportation Review, 146, 102188. https://doi.org/10.1016/j.tre.2020.102188</mixed-citation><mixed-citation xml:lang="en">Samuelson, P. A. (1952). Spatial price equilibrium and linear programming. The American Economic Review, 42(3), 283–303. </mixed-citation></citation-alternatives></ref><ref id="ref23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Samuelson, P. A. (1952). Spatial price equilibrium and linear programming. The American Economic Review, 42(3), 283–303.</mixed-citation><mixed-citation xml:lang="en">Shirov, A. A., Sapova, N. N., Uzyakova, E. S., &amp; Uzyakov, R. М. (2021). Comprehensive Forecast of Demand for Inter-regional Rail Freight Transport. Ekonomika Regiona [Economy of Region], 17(1), 1–15. http://doi.org/10.17059/ekon.reg.2021-1-1 (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="ref24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Wang, Z., Zhang, D., Tavasszy, L., &amp; Fazi, S. (2023). Integrated multimodal freight service network design and pricing with a competing service integrator and heterogeneous shipper classes. Transportation Research Part E: Logistics and Transportation Review, 179, 103290. https://doi.org/10.1016/j.tre.2023.103290</mixed-citation><mixed-citation xml:lang="en">Wang, Z., Zhang, D., Tavasszy, L., &amp; Fazi, S. (2023). Integrated multimodal freight service network design and pricing with a competing service integrator and heterogeneous shipper classes. Transportation Research Part E: Logistics and Transportation Review, 179, 103290. https://doi.org/10.1016/j.tre.2023.103290</mixed-citation></citation-alternatives></ref><ref id="ref25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang, R. (2020). The role of the transport sector in energy transition and climate change mitigation: Insights from an integrated assessment model. In J. Zhang (Ed.), Transport and Energy Research (pp. 15–30). Elsevier. https://doi.org/10.1016/B978-0-12-815965-1.00002-8</mixed-citation><mixed-citation xml:lang="en">Zhang, R. (2020). The role of the transport sector in energy transition and climate change mitigation: Insights from an integrated assessment model. In J. Zhang (Ed.), Transport and Energy Research (pp. 15–30). Elsevier. https://doi.org/10.1016/B978-0-12-815965-1.00002-8</mixed-citation></citation-alternatives></ref><ref id="ref26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Zweers, B. G., &amp; van der Mei, R. D. (2022). Minimum costs paths in intermodal transportation networks with stochastic travel times and overbookings. European Journal of Operational Research, 300(1), 178–188. https://doi.org/10.1016/j.ejor.2021.07.042</mixed-citation><mixed-citation xml:lang="en">Zweers, B. G., &amp; van der Mei, R. D. (2022). Minimum costs paths in intermodal transportation networks with stochastic travel times and overbookings. European Journal of Operational Research, 300(1), 178–188. https://doi.org/10.1016/j.ejor.2021.07.042</mixed-citation></citation-alternatives></ref></ref-list></back></article>