Modeling of public transport waiting time indicator for the transport network of a large city
The need to develop and improve public passenger transport in major cities was noted. It was reflected that waiting time at bus stops is one of the factors that have a big impact on the passenger quality assessment of transport services. The results of an empirical study of the actual and anticipate...
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2018-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201822404018 |
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doaj-85482485d56b400cbc952c0a7a1708712021-02-02T00:34:50ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012240401810.1051/matecconf/201822404018matecconf_icmtmte2018_04018Modeling of public transport waiting time indicator for the transport network of a large cityLebedeva Olga0Kripak MarinaFederal State Autonomous Educational Institution of Higher Education «Sevastopol State University»The need to develop and improve public passenger transport in major cities was noted. It was reflected that waiting time at bus stops is one of the factors that have a big impact on the passenger quality assessment of transport services. The results of an empirical study of the actual and anticipated waiting time at bus stops were given. It was noted that the reliability functions were used in the field of ride duration modeling, traffic restoration time after an accident, and length of making the decision to travel. The waiting time distribution functions using the lognormal function and the Weibull function were chosen. The results of modeling were objective, the dependent variables in it were the expected waiting time of passengers and the difference between the anticipated and the actual waiting time. The explanatory variables were sex, age, time period, purpose of the trip and the actual waiting time. The results of the research showed that the age, purpose of the trip and the time period influence the waiting time perception, prolong it and lead to its reassessment.https://doi.org/10.1051/matecconf/201822404018 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lebedeva Olga Kripak Marina |
spellingShingle |
Lebedeva Olga Kripak Marina Modeling of public transport waiting time indicator for the transport network of a large city MATEC Web of Conferences |
author_facet |
Lebedeva Olga Kripak Marina |
author_sort |
Lebedeva Olga |
title |
Modeling of public transport waiting time indicator for the transport network of a large city |
title_short |
Modeling of public transport waiting time indicator for the transport network of a large city |
title_full |
Modeling of public transport waiting time indicator for the transport network of a large city |
title_fullStr |
Modeling of public transport waiting time indicator for the transport network of a large city |
title_full_unstemmed |
Modeling of public transport waiting time indicator for the transport network of a large city |
title_sort |
modeling of public transport waiting time indicator for the transport network of a large city |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2018-01-01 |
description |
The need to develop and improve public passenger transport in major cities was noted. It was reflected that waiting time at bus stops is one of the factors that have a big impact on the passenger quality assessment of transport services. The results of an empirical study of the actual and anticipated waiting time at bus stops were given. It was noted that the reliability functions were used in the field of ride duration modeling, traffic restoration time after an accident, and length of making the decision to travel. The waiting time distribution functions using the lognormal function and the Weibull function were chosen. The results of modeling were objective, the dependent variables in it were the expected waiting time of passengers and the difference between the anticipated and the actual waiting time. The explanatory variables were sex, age, time period, purpose of the trip and the actual waiting time. The results of the research showed that the age, purpose of the trip and the time period influence the waiting time perception, prolong it and lead to its reassessment. |
url |
https://doi.org/10.1051/matecconf/201822404018 |
work_keys_str_mv |
AT lebedevaolga modelingofpublictransportwaitingtimeindicatorforthetransportnetworkofalargecity AT kripakmarina modelingofpublictransportwaitingtimeindicatorforthetransportnetworkofalargecity |
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1724313516893011968 |