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Жамоат транспортида йўловчиларнинг манзилга етиб бориш учун сарфлайдиган вақти унинг хизмат кўрсатиш сифатини белгиловчи асосий мезонлардан саналади. Жамоат транспорти ҳаракати олдиндан ишлаб чиқилган жадвалдан чиқиб кетса, йўловчилар манзилига ўз вақтида етиб бора олмайди, натижада ундан фойдаланиш даражаси пасаяди. Мазкур масаланинг илмий ёндашуви йўловчининг манзилга етиб бориш вақтини интеграл баҳолаш мезонини ишлаб чиқиш, кейин алоҳида параметрлар бўйича тадқиқотлар олиб боришни тақозо этади. Ушбу мақола йўловчининг манзилга етиб бориш вақтини интеграл баҳолаш мезонини ишлаб чиқиш ҳамда алоҳида параметрларни такомиллаштириш бўйича тавсиялар ишлаб чиқишга йўналтирилган.

  • Read count 146
  • Date of publication 26-02-2021
  • Main LanguageO'zbek
  • Pages75-83
Ўзбек

Жамоат транспортида йўловчиларнинг манзилга етиб бориш учун сарфлайдиган вақти унинг хизмат кўрсатиш сифатини белгиловчи асосий мезонлардан саналади. Жамоат транспорти ҳаракати олдиндан ишлаб чиқилган жадвалдан чиқиб кетса, йўловчилар манзилига ўз вақтида етиб бора олмайди, натижада ундан фойдаланиш даражаси пасаяди. Мазкур масаланинг илмий ёндашуви йўловчининг манзилга етиб бориш вақтини интеграл баҳолаш мезонини ишлаб чиқиш, кейин алоҳида параметрлар бўйича тадқиқотлар олиб боришни тақозо этади. Ушбу мақола йўловчининг манзилга етиб бориш вақтини интеграл баҳолаш мезонини ишлаб чиқиш ҳамда алоҳида параметрларни такомиллаштириш бўйича тавсиялар ишлаб чиқишга йўналтирилган.

Русский

Время, затрачиваемое на общественный транспорт, до места назначения является одним из основных критериев, определяющих качество обслуживания транспортом. Если движение общественного транспорта превышает заранее разработанный график, пассажиры не смогут вовремя добраться до места назначения, в результате снизится его использование. Научный подход к этому вопросу требует разработки критериев комплексной оценки времени прибытия пассажира в пункт назначения с последующим исследованием индивидуальных параметров. Данная статья направлена на разработку интегральной оценки времени прибытия пассажира в пункт назначения и выработке рекомендаций по улучшению индивидуальных параметров.

English

The time spent on public transport to the destination is one of the main criteria that determine the quality of its service. If public transport exceeds a predetermined schedule, passengers will not be able to reach their destination on time, resulting in reduced use. A scientific approach to this issue requires the development of criteria for a comprehensive assessment of the time of arrival of a passenger at a destination, followed by a study of individual parameters. The article is aimed at developing an integral assessment of the time of arrival of a passenger at a destination and providing recommendations for improving individual parameters.

Author name position Name of organisation
1 Abdullayev B.I. texnika fanlari bo'yicha falsafa doktori (PhD) Toshkent davlat transport universiteti
2 Mo'minov T.S. “Transport logistikasi” kafedrasi assistentI Toshkent davlat transport universiteti
3 Axmedov D.T. “Transport logistikasi” kafedrasi assistenti Toshkent davlat transport universiteti
Name of reference
1 Hududlarda zhamoat transportini rivozhlantirish choralari belgilandi. [The regions public transport development measures have been assigned]. According to newspaper Halq sozi, no 252 (7754), 01.12.2020.
2 Yuqing D. (2001). Improving Transit Service and Headway Regularity with Real-Time Control, Transportation Research Board. 2001, pp. 161-170.
3 Ceder A. Public Transit Planning and Operation: Theory, Modeling and Practice. (1st ed.). Butterworth-Heinemann, Oxford. United Kingdom, 2007.
4 Ceder A. Public-Transport Automated Timetables using Even Headway and Even Passenger Load Concepts Transportation, 32nd Australasian Transport Research Forum. 2009, pp. 1-17.
5 Dixit M., Brands T., van Oort N., Cats О., Hoogendoorn S. Passenger Travel Time Reliability for Multimodal Public Transport Journeys. Transportation Research Record, vol. 2673(2), 2019, pp. 149-160.
6 Timalsena A.P., Marsani А., Tiwari H. Impact of Traffic Bottleneck on Urban Road: A Case Study of Maitighar-Tinkune Road Section. Proceedings of IOE Graduate Conference, 2017, pp. 623-628.
7 Zahir U.M., Matsui H., Fujita M. Investigate the effects of bus and passenger arrival patterns and service frequency on passenger waiting time and transit performance of Dhaka metropolitan area. Urban Transport VI, 2000, pp. 55-64.
8 Moreira-Matias L., Ferreira C., Gama J., Mendes-Moreira J., Freire de Sousa J. Bus Bunching Detection: A Sequence Mining Approach. Conference: Ubiquitous Data Mining (UDM) Workshop in conjunction with the 20th European Conference on Artificial Intelligence – ECAI 2012, pp. 13-17.
9 Fonzonea A., Schmeckerb J.-D., Liu R. A model of bus bunching under reliability-based passenger arrival patterns. 21st International Symposium on Transportation and Traffic Theory. Transportation Research Procedia 7, 2015, pp. 276-299.
10 Singhal A., Kamga C., Yazici A. Impact of weather on urban transit ridership. Transportation Research, Part A: Policy and Practice, 2014, vol. 69, pp. 379-391.
11 Friedman M.S., Powell K.E., Hutwagner L., Graham L.M., Teague W.G. Impact of changes in transportation and commuting behaviors during the 1996 summer Olympic games in Atlanta on air quality and childhood asthma. JAMA, (2001), vol. 285 (7), pp. 897-905.
12 Eboli L., Mazzulla G. Service quality attributes affecting customer satisfaction for bus transit. Journal of public transportation, 2007, vol. 10 (3), pp. 2.
13 Ohler F., Krempels K.-H., M¨obus S. Forecasting Public Transportation Capacity Utilisation Considering External Factors, In Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems. 2017, pp. 300-311.
14 Mo Y., Su Y. Neural networks based real-time transit passenger volume prediction. In Power Electronics and Intelligent Transportation System, 2nd International Conference on, vol. 2, 2009, pp. 303-306, IEEE.
15 Roschin A.I. The collections of tasks ‘Passengers transportation technology’: practical course. A.I. Roschin, A.I. Djukov, F.V. Akopov; under the general editorship of professor N.O. Blyudyana, Moscow, MADI, 2016, 32 p.
16 Butaev S.A. and oth. Moderation and optimization of transportation processes. Tashkent, Fan Publ., 2009, 294 p.
17 Fadeev A.I. The task of determining the optimal structure of the rolling stock fleet of urban passenger transport. IOP Conf. Series: Materials Science and Engineering, 734, 2020, p. 6.
18 Beirão G., Sarsfi eld J. Enhancing service quality in public transport systems. Article in International Conference Proceedings Book, 2006, pp. 837-845.
19 Tyrinopoulos Ya., Aifadopoulou G. A complete methodology for the quality control of passenger services in the public transport business, European Transport\Trasporti Europein. 38 (2008): pp. 1-16.
20 Abdullaev B.I. Research of factors infl uencing bus capacity utilization rate on routes. Innovations in road transport: the main directions of interaction between science and business. Proceedings of the International scientific-practical conference, 2019, pp. 206-214.
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