Standard

Quality analysis of urban transit system in megacities. / Grafeeva, Natalia; Mikhailova, Elena; Tretyakov, Innokenty.

в: IFAC-PapersOnLine, Том 52, № 13, 09.2019, стр. 2566-2571.

Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование

Harvard

Grafeeva, N, Mikhailova, E & Tretyakov, I 2019, 'Quality analysis of urban transit system in megacities', IFAC-PapersOnLine, Том. 52, № 13, стр. 2566-2571. https://doi.org/10.1016/j.ifacol.2019.11.593

APA

Grafeeva, N., Mikhailova, E., & Tretyakov, I. (2019). Quality analysis of urban transit system in megacities. IFAC-PapersOnLine, 52(13), 2566-2571. https://doi.org/10.1016/j.ifacol.2019.11.593

Vancouver

Grafeeva N, Mikhailova E, Tretyakov I. Quality analysis of urban transit system in megacities. IFAC-PapersOnLine. 2019 Сент.;52(13):2566-2571. https://doi.org/10.1016/j.ifacol.2019.11.593

Author

Grafeeva, Natalia ; Mikhailova, Elena ; Tretyakov, Innokenty. / Quality analysis of urban transit system in megacities. в: IFAC-PapersOnLine. 2019 ; Том 52, № 13. стр. 2566-2571.

BibTeX

@article{917a8d9e92b241968ef81b3bc8401e9f,
title = "Quality analysis of urban transit system in megacities",
abstract = "A persistent issue of big cities is the necessity to develop and enhance urban transit systems at a good pace. The main task is to improve the comfort of passengers using public transport. A number of indicators help to evaluate the convenience of the transport system of a metropolis. To compute these indicators, we analyzed the data obtained from the municipal information systems: the public transport payment system and the transport tracking system. We evaluated the following indicators: rush hours during the day, average amount of trips made by passengers of each social group per month, transportation comfort index, the most and the least accessible districts of the city, interchange coefficient for multimodal trips (average number of single trips within multimodal trips) and etc.",
keywords = "Multimodal trips, O-D pair matrix, Public transport, Urban Transit System",
author = "Natalia Grafeeva and Elena Mikhailova and Innokenty Tretyakov",
year = "2019",
month = sep,
doi = "10.1016/j.ifacol.2019.11.593",
language = "English",
volume = "52",
pages = "2566--2571",
journal = "IFAC-PapersOnLine",
issn = "2405-8971",
publisher = "Elsevier",
number = "13",
note = "9th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2019 ; Conference date: 28-08-2019 Through 30-08-2019",

}

RIS

TY - JOUR

T1 - Quality analysis of urban transit system in megacities

AU - Grafeeva, Natalia

AU - Mikhailova, Elena

AU - Tretyakov, Innokenty

PY - 2019/9

Y1 - 2019/9

N2 - A persistent issue of big cities is the necessity to develop and enhance urban transit systems at a good pace. The main task is to improve the comfort of passengers using public transport. A number of indicators help to evaluate the convenience of the transport system of a metropolis. To compute these indicators, we analyzed the data obtained from the municipal information systems: the public transport payment system and the transport tracking system. We evaluated the following indicators: rush hours during the day, average amount of trips made by passengers of each social group per month, transportation comfort index, the most and the least accessible districts of the city, interchange coefficient for multimodal trips (average number of single trips within multimodal trips) and etc.

AB - A persistent issue of big cities is the necessity to develop and enhance urban transit systems at a good pace. The main task is to improve the comfort of passengers using public transport. A number of indicators help to evaluate the convenience of the transport system of a metropolis. To compute these indicators, we analyzed the data obtained from the municipal information systems: the public transport payment system and the transport tracking system. We evaluated the following indicators: rush hours during the day, average amount of trips made by passengers of each social group per month, transportation comfort index, the most and the least accessible districts of the city, interchange coefficient for multimodal trips (average number of single trips within multimodal trips) and etc.

KW - Multimodal trips

KW - O-D pair matrix

KW - Public transport

KW - Urban Transit System

UR - http://www.scopus.com/inward/record.url?scp=85078945078&partnerID=8YFLogxK

U2 - 10.1016/j.ifacol.2019.11.593

DO - 10.1016/j.ifacol.2019.11.593

M3 - Conference article

AN - SCOPUS:85078945078

VL - 52

SP - 2566

EP - 2571

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8971

IS - 13

T2 - 9th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2019

Y2 - 28 August 2019 through 30 August 2019

ER -

ID: 52018119