Russian Federation
Russian Federation
Russian Federation
Russian Federation
The article presents a methodology for optimizing transport costs with the use of modeling in PTV Visum software package. Based on the analysis of transport problems in large urban agglomerations, a quality criterion was chosen for the assessment of passenger transport performance. An approach has been proposed to introduce transport hub systems with the purpose to minimize time spending on transfer, in particular, and on trip by public transport in a whole. This optimization method for transport spending represents an algorithm of 3 key blocks: the formation of transport model for being studied agglomeration, the placement conditions and the choice of transport hub locations. The model is formed on the base of 4-step approach, the trips distribution in a network is based on entropy approach which is considered in the second section in more details. The placement conditions go from an idea to minimize time total spending on moving, the number of hubs being introduced is limited by their construction financing. The approach application is demonstrated on the example of northwestern urban agglomeration Sertolovo-Osinovaya Roshcha-Pargolovo which represents being actively built-up residential districts on St. Petersburg city border. The specificities of its transport network, including also hubs and highways with complicated traffic, are determined. Based on open sources and statistical data, a transport model was developed, its calibration was pursued. 3 options for placing transport hubs on network of the agglomeration are presented. As a result of the research, the analysis for the options of transport hub placements is presented and the most promising option from the view of purpose meaning achievement for hub placement in being considered agglomeration is proposed.
transport planning, urban agglomeration, transport hub, street-and-road network, transport modeling
1. Sakul'eva T. N. Transportnyy spros kak funkciya sostoyaniya transportnoy seti / T. N. Sakul'eva // Upravlenie. - 2019. - T. 7. - № 3. - S. 47-53. - DOI:https://doi.org/10.26425/2309-3633-2019-3-47-53.
2. Sibirko I. V. Mobil'nost' naseleniya kak social'nyy prioritet gosudarstvennoy transportnoy politiki i faktor povysheniya kachestva zhizni naseleniya Rossii / I. V. Sibirko, E. A. Stepushina // Problemy i perspektivy ekonomiki i upravleniya: materialy VII Mezhdunar. nauch. konf. (g. Sankt-Peterburg, iyul' 2018 g.). - SPb.: Svoe izdatel'stvo, 2018. - S. 5-10.
3. Goel P. Understanding transport users' preferences for adopting electric vehicle based mobility for sustainable city: A moderated moderated-mediation model / P. Goel, A. Kumar, S. Parayitam et al. // Journal of Transport Geography. - 2023. - № 106.
4. Plotnikov D. G. Primenenie korotkih kol'cevyh marshrutov dlya optimizacii transportnoy seti rayona / D. G. Plotnikov, D. R. Stahin, A. V. Banite // Transport Rossii: problemy i perspektivy - 2020: materialy yubileynoy Mezhdunarodnoy nauchno-prakticheskoy konferencii, Sankt-Peterburg, 10-11 noyabrya 2020 goda / FGBUN Institut problem transporta im. N. S. Solomenko Rossiyskoy akademii nauk, 2020. - SPb.: Institut problem transporta im. N. S. Solomenko RAN, 2020. - T. 2. - S. 41-45.
5. Glushenkova E. D. Analiz metodicheskogo obespecheniya kachestva transportnogo obsluzhivaniya naseleniya / E. D. Glushenkova, L. N. Klepcova // Voprosy sovremennoy nauki: problemy, tendencii i perspektivy: materialy III Mezhdunarodnoy nauchno-prakticheskoy konferencii, Novokuzneck, 5-6 dekabrya 2019 goda / Otv. red. E. I. Zabneva. - Novokuzneck: Zebra, 2019. - S. 37-41.
6. Karablin O. V. Ob osobennostyah formirovaniya transportnoy sistemy i transportnogo sprosa Rostovskoy aglomeracii / O. V. Karablin // Byulleten' transportnoy informacii. - 2021. - № 9(315). - S. 38-44.
7. Plotnikov D. G. Podhod k optimizacii struktury sistemy upravleniya transportnymi potokami / D. G. Plotnikov, A. V. Banite, D. R. Stahin // Transport Rossii: problemy i perspektivy - 2020: materialy yubileynoy Mezhdunarodnoy nauchno-prakticheskoy konferencii, Sankt-Peterburg, 10-11 noyabrya 2020 goda. SPb.: Institut problem transporta im. N. S. Solomenko RAN, 2020. - S. 45-48.
8. Lindkvist H. How sustainable are urban transport services? A comparison of MaaS and UCC / H. Lindkvist, L. Melander // Research in Transportation Business & Management. - 2022. - № 43.
9. Savenkova T. I. Vozmozhnosti povysheniya kachestva transportnogo obsluzhivaniya naseleniya Sankt-Peterburga / T. I. Savenkova // Sistemnyy analiz i logistika. - 2019. - № 3(21). - S. 29-44.
10. Borbás P. D. The Importance of the Quality of Urban Public Transport and a Methodological Example for Weighting the Typical Quality Criteria / P. D. Borbás // Regionalnaya ekonomika. Yug Rossii. - 2022. - S. 89-96.
11. Odame P. K. State of public transport services to Ghana's disability population: Lessons from public transport operators in the Accra Metropolitan Assembly / P. K. Odame, E. F. Sam, R. O. Amoako-Sakyi et al. / Social Sciences & Humanities Open. - 2023. - № 7(1).
12. Durand A. Public transport as travel alternative for users of Special Transport Services in the Netherlands / A. Durand, T. Zijlstra // Journal of Transport & Health. - 2023. - № 29.
13. Zhou T. Exploring the determinants of public transport usage and shared mobilities: A case study from Nanchang, China / T. Zhou, J. Zhang, L. Peng et al. // Sustainable Cities and Society. - 2022. - № 87.
14. Kaliberda E. A. Sravnitel'nyy analiz sistem oplaty proezda obschestvennogo transporta / E. A. Kaliberda, I. V. Fedotova, V. V. Nesterov // International Journal of Advanced Studies. - 2019. - T. 9. - № 1-2. - S. 38-44.
15. Losin L. A. Issledovanie vliyaniya stoimosti proezda na transportnyy spros metodom matematicheskogo modelirovaniya / L. A. Losin, N. V. Bulycheva // Byulleten' rezul'tatov nauchnyh issledovaniy. - 2022. - № 2. - S. 179-194.
16. Nes van R. Lecture 2.2. Trip Distribution / R. van Nes. - URL: https://ocw.tudelft.nl/wp-content/uploads/2.2-Trip-distribution.pdf (accessed: December 25, 2022).
