S-BRT 운행행태를 고려한 저상버스의 정차시간 예측모형

This basic study introduces the concept of S-BRT and develops dwell time estimation models that consider road geometry and S-BRT characteristics for a signal operation strategy to meet the S-BRT's operational goal of high speed and punctuality. Field surveys of low-floor buses similar in shape...

Full description

Saved in:
Bibliographic Details
Published in한국안전학회지 Vol. 36; no. 1; pp. 72 - 79
Main Authors 신소명, S. M. Shin, 이수범, S. B. Lee, 김영찬, Y. C. Kim, 박신형, S. H. Park, 유연승, Y. S. Yu, 최정훈, J. H. Choi
Format Journal Article
LanguageKorean
Published 한국안전학회 28.02.2021
Subjects
Online AccessGet full text
ISSN1738-3803
2383-9953

Cover

Abstract This basic study introduces the concept of S-BRT and develops dwell time estimation models that consider road geometry and S-BRT characteristics for a signal operation strategy to meet the S-BRT's operational goal of high speed and punctuality. Field surveys of low-floor buses similar in shape to S-BRTs and data collection of passengers, station elements, vehicle elements, and other factors that can affect stop times were used in a regression analysis to establish statistically significant dwell time estimation models. These dwell time estimation models are developed by categorizing according to the locations of the signal or sidewalk that have the most impact on the dwell time. In this way, the number of people boarding and alighting the bus at the crowded door and the number of people boarding and alighting the bus at the front door considering the internal congestion was analyzed to affect the dwell time. The estimation dwell time models in this study can be used in the establishment of strategies that provide priority signals to S-BRTs.
AbstractList This basic study introduces the concept of S-BRT and develops dwell time estimation models that consider road geometry and S-BRT characteristics for a signal operation strategy to meet the S-BRT's operational goal of high speed and punctuality. Field surveys of low-floor buses similar in shape to S-BRTs and data collection of passengers, station elements, vehicle elements, and other factors that can affect stop times were used in a regression analysis to establish statistically significant dwell time estimation models. These dwell time estimation models are developed by categorizing according to the locations of the signal or sidewalk that have the most impact on the dwell time. In this way, the number of people boarding and alighting the bus at the crowded door and the number of people boarding and alighting the bus at the front door considering the internal congestion was analyzed to affect the dwell time. The estimation dwell time models in this study can be used in the establishment of strategies that provide priority signals to S-BRTs.
This basic study introduces the concept of S-BRT and develops dwell time estimation models that consider road geometry and S-BRT characteristics for a signal operation strategy to meet the S-BRT's operational goal of high speed and punctuality. Field surveys of low-floor buses similar in shape to S-BRTs and data collection of passengers, station elements, vehicle elements, and other factors that can affect stop times were used in a regression analysis to establish statistically significant dwell time estimation models. These dwell time estimation models are developed by categorizing according to the locations of the signal or sidewalk that have the most impact on the dwell time. In this way, the number of people boarding and alighting the bus at the crowded door and the number of people boarding and alighting the bus at the front door considering the internal congestion was analyzed to affect the dwell time. The estimation dwell time models in this study can be used in the establishment of strategies that provide priority signals to S-BRTs. KCI Citation Count: 0
Author 박신형
Y. C. Kim
J. H. Choi
이수범
최정훈
S. H. Park
S. B. Lee
신소명
김영찬
유연승
S. M. Shin
Y. S. Yu
Author_xml – sequence: 1
  fullname: 신소명
– sequence: 2
  fullname: S. M. Shin
– sequence: 3
  fullname: 이수범
– sequence: 4
  fullname: S. B. Lee
– sequence: 5
  fullname: 김영찬
– sequence: 6
  fullname: Y. C. Kim
– sequence: 7
  fullname: 박신형
– sequence: 8
  fullname: S. H. Park
– sequence: 9
  fullname: 유연승
– sequence: 10
  fullname: Y. S. Yu
– sequence: 11
  fullname: 최정훈
– sequence: 12
  fullname: J. H. Choi
BackLink https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002686117$$DAccess content in National Research Foundation of Korea (NRF)
BookMark eNo9kD1Lw0Acxg-pYK39BC5ZHBwCl_vnkruxFl-qhULNflwuqYTUVBIXN6UOvsyVIhUqVChORR0c_ETN9TsYrQgP_HjgxzM866iU9JJwBZUJMDA5p1BCZcsFZgLDsIaqWRb5mAK4LgApo8axudP2DP34sXi4_Ul_lL98GfP3cT6eLAYjQ48vdf8qf7vWdxP9NCz6QM-m-n40n10benijP5_z1-liONhAqx3ZzcLqHyvI29v16gdms7XfqNeaZsxsy6RAOQsCcIiiPsa2q3zJsM1VQJzQlURJ3KG8o5QMA07At33fCpkllasC6TOACtpeziZpR8QqEj0Z_fKkJ-JU1NpeQ3DXZhRbhbu1dOMoO49EEmRdcVg7ahFMLEIoZdxyCLMLb_Pfy8RZGp3K9EIAcwgpXvoGe2h1-Q
ContentType Journal Article
DBID HZB
Q5X
JDI
ACYCR
DEWEY 363.11
DatabaseName Korea Information Science Society (KISS)
Korean Studies Information Service System (KISS) B-Type
KoreaScience
Korean Citation Index
DatabaseTitleList


DeliveryMethod fulltext_linktorsrc
Discipline Social Welfare & Social Work
DocumentTitleAlternate S-BRT 운행행태를 고려한 저상버스의 정차시간 예측모형
A Estimation of Dwell Time of Low-floor Buses considering S-BRT Operation Behavior
EISSN 2383-9953
EndPage 79
ExternalDocumentID oai_kci_go_kr_ARTI_9748501
JAKO202122558916284
3862273
GroupedDBID .UV
HZB
Q5X
JDI
ACYCR
ID FETCH-LOGICAL-k841-53598dd362c5b0047cba8049cd26e7a2ca0f59fccaed923b4bb1e81ac7cdab833
ISSN 1738-3803
IngestDate Sun Mar 09 07:51:37 EDT 2025
Fri Dec 22 12:03:24 EST 2023
Sat Sep 06 10:41:38 EDT 2025
IsOpenAccess true
IsPeerReviewed false
IsScholarly false
Issue 1
Keywords prediction
internal congestion
S-BRT
dwell time
low-floor bus
Language Korean
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-k841-53598dd362c5b0047cba8049cd26e7a2ca0f59fccaed923b4bb1e81ac7cdab833
Notes Korean Society of Safety
KISTI1.1003/JNL.JAKO202122558916284
OpenAccessLink http://click.ndsl.kr/servlet/LinkingDetailView?cn=JAKO202122558916284&dbt=JAKO&org_code=O481&site_code=SS1481&service_code=01
PageCount 8
ParticipantIDs nrf_kci_oai_kci_go_kr_ARTI_9748501
kisti_ndsl_JAKO202122558916284
kiss_primary_3862273
PublicationCentury 2000
PublicationDate 20210228
PublicationDateYYYYMMDD 2021-02-28
PublicationDate_xml – month: 02
  year: 2021
  text: 20210228
  day: 28
PublicationDecade 2020
PublicationTitle 한국안전학회지
PublicationTitleAlternate 한국안전학회지
PublicationYear 2021
Publisher 한국안전학회
Publisher_xml – name: 한국안전학회
SSID ssib053377332
ssib012146287
ssib001535083
ssib008451743
ssib016108132
Score 1.7648275
Snippet This basic study introduces the concept of S-BRT and develops dwell time estimation models that consider road geometry and S-BRT characteristics for a signal...
SourceID nrf
kisti
kiss
SourceType Open Website
Open Access Repository
Publisher
StartPage 72
SubjectTerms dwell time
internal congestion
low-floor bus
prediction
S-BRT
안전공학
Title S-BRT 운행행태를 고려한 저상버스의 정차시간 예측모형
URI https://kiss.kstudy.com/ExternalLink/Ar?key=3862273
http://click.ndsl.kr/servlet/LinkingDetailView?cn=JAKO202122558916284&dbt=JAKO&org_code=O481&site_code=SS1481&service_code=01
https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002686117
Volume 36
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
ispartofPNX 한국안전학회지, 2021, 36(1), 165, pp.72-79
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NaxNBFB_anryIWsVoLYs4XmRld2c_Zo-zaaStVEEj9rbsZykpiaTpxYMo7cGPc6RIhQgViqeiHjz4FzXb_8H3ZjabRAp-QNjMvrx5897M7rzfZHfeI-SWlbEIHZ2Oj3B0fBCnx0ke6zYzfM7s1Ixy3Jy89sBdfmKvrjvrM7O1ibeWdnrx3eT5mftK_mdUgQbjirtk_2FkK6FAgDKMLxxhhOH4V2P8WA8eNe_QRp36ggY2bSxR36XcnypwRv06bQRUODSoAzewMioMSTKoUNUcYJKSgMQNLEA9biJTYFFuS4qQ3NAaVOAjbqgKhQAkcckUyOYEUritlOOUy98CToUUKYTkRjFUZb8cAeRKGSnCoWJJSnBKCahdpbCyU1Belz95lFfPXkpNhLLElSyyWZW5Z8QChgTKNI6qKGN9e8wCOvhlf6AV5sjU-pglQILqhLLFSbPKP1Qsc2KDuvIBHvgAxg0172aSBsCG6b6v4hqPHIeK3DJ1gygvoJIRlXhC5cqZjvT9mweu3otcFfcfokowyWK2RxewwyyZZSZO4GsvGhM4l02F8ec2Bhyvzk3M1m6NcTegekB-4w3EAPE9j8nkfZWxAElgxbINazRcuGwC1Gp38wmo1bxAzpdrJE2oC_4imWl1LpEFtZFce5pt5VE3025rI0Kn25onK_Je0IoP30_fv8HP7sHw80_t5NtgODg87R9oxeBlsftq-HWveHtYfNyH835xfFS8Ozg53tOK_dfFj0_DL0en-_3LpHmv0awv62WaEL3FbVN3MAZlmgIQSxz0QV4SRxwmniS13MyLrCQycsfPYabKUljNxHYcmxk3o8RL0ijmjF0hc-1OO7tKtCRxMujXzPBZYtu5wSMW54ZrxWbMMKRJjcxjH4XPVCCYkHHXAvhfI4uyz8J2ur0VnjGGNXITOjNsJZshRnPH741O2OqGsGZdCWFFzx3DvPYnKdfJufHlukDmet2d7AYg4l68KK-OX7qTj-k
linkProvider ISSN International Centre
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=S-BRT+%EC%9A%B4%ED%96%89%ED%96%89%ED%83%9C%EB%A5%BC+%EA%B3%A0%EB%A0%A4%ED%95%9C+%EC%A0%80%EC%83%81%EB%B2%84%EC%8A%A4%EC%9D%98+%EC%A0%95%EC%B0%A8%EC%8B%9C%EA%B0%84+%EC%98%88%EC%B8%A1%EB%AA%A8%ED%98%95&rft.jtitle=%ED%95%9C%EA%B5%AD%EC%95%88%EC%A0%84%ED%95%99%ED%9A%8C%EC%A7%80&rft.au=%EC%8B%A0%EC%86%8C%EB%AA%85&rft.au=%EC%9D%B4%EC%88%98%EB%B2%94&rft.au=%EA%B9%80%EC%98%81%EC%B0%AC&rft.au=%EB%B0%95%EC%8B%A0%ED%98%95&rft.date=2021-02-28&rft.issn=1738-3803&rft.eissn=2383-9953&rft.volume=36&rft.issue=1&rft.spage=72&rft.epage=79&rft.externalDBID=n%2Fa&rft.externalDocID=JAKO202122558916284
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1738-3803&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1738-3803&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1738-3803&client=summon