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Volumn 14, Issue 1, 2011, Pages 99-114

Using GIS to identify pedestrian- vehicle crash hot spots and unsafe bus stops

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EID: 84863806178     PISSN: 1077291X     EISSN: None     Source Type: Journal    
DOI: 10.5038/2375-0901.14.1.6     Document Type: Article
Times cited : (138)

References (21)
  • 1
    • 64849103766 scopus 로고    scopus 로고
    • Kernel density estimation and K-means clustering to profile road accident hot spots
    • Anderson, T. K. 2009. Kernel density estimation and K-means clustering to profile road accident hot spots. Accident Analysis & Prevention 41(3): 359-364.
    • (2009) Accident Analysis & Prevention , vol.41 , Issue.3 , pp. 359-364
    • Anderson, T.K.1
  • 2
    • 0029507498 scopus 로고
    • Local indicators of spatial association-LISA
    • Anselin, L. 1995. Local indicators of spatial association-LISA. Geographical Analysis 27(2): 93-116.
    • (1995) Geographical Analysis , vol.27 , Issue.2 , pp. 93-116
    • Anselin, L.1
  • 4
    • 34247635806 scopus 로고    scopus 로고
    • An examination of the environmental attributes associated with pedestrian-vehicular crashes near public schools
    • Clifton, K. J., and K. Kreamer-Fults. 2007. An examination of the environmental attributes associated with pedestrian-vehicular crashes near public schools. Accident Analysis & Prevention 39(4): 708-715.
    • (2007) Accident Analysis & Prevention , vol.39 , Issue.4 , pp. 708-715
    • Clifton, K.J.1    Kreamer-Fults, K.2
  • 5
    • 54949128220 scopus 로고    scopus 로고
    • A survey of operational definitions of hazardous road locations in some European countries
    • Elvik, R. 2008. A survey of operational definitions of hazardous road locations in some European countries. Accident Analysis & Prevention 40(6): 1830-1835.
    • (2008) Accident Analysis & Prevention , vol.40 , Issue.6 , pp. 1830-1835
    • Elvik, R.1
  • 6
    • 70449732118 scopus 로고    scopus 로고
    • Explorative spatial analysis of traffic accident statistics and road mortality among the provinces of Turkey
    • Erdogan, S. 2009. Explorative spatial analysis of traffic accident statistics and road mortality among the provinces of Turkey. Journal of Safety Research 40(5): 341-351.
    • (2009) Journal of Safety Research , vol.40 , Issue.5 , pp. 341-351
    • Erdogan, S.1
  • 7
    • 38149019171 scopus 로고    scopus 로고
    • Geographical information systems aided traffic accident analysis system case study: City of Afyonkarahisar
    • Erdogan, S., I. Yilmaz, T. Baybura, and M. Gullu. 2008. Geographical information systems aided traffic accident analysis system case study: City of Afyonkarahisar. Accident Analysis & Prevention 40(1): 174-181.
    • (2008) Accident Analysis & Prevention , vol.40 , Issue.1 , pp. 174-181
    • Erdogan, S.1    Yilmaz, I.2    Baybura, T.3    Gullu, M.4
  • 8
    • 84977363017 scopus 로고
    • The analysis of spatial association by use of distance statistics
    • Getis, A., and J. K. Ord. 1992. The analysis of spatial association by use of distance statistics. Geographical Analysis 24(3): 189-207.
    • (1992) Geographical Analysis , vol.24 , Issue.3 , pp. 189-207
    • Getis, A.1    Ord, J.K.2
  • 11
    • 40449107955 scopus 로고    scopus 로고
    • Bayesian approach based on geographic information systems to identify hazardous roadway segments for traffic crashes
    • Li, L., and Y. Zhang. 2008. Bayesian approach based on geographic information systems to identify hazardous roadway segments for traffic crashes. Transportation Research Record 2024: 63-72.
    • (2008) Transportation Research Record , vol.2024 , pp. 63-72
    • Li, L.1    Zhang, Y.2
  • 12
    • 0030288165 scopus 로고    scopus 로고
    • Walking distances to and from light-rail transit stations
    • O'Sullivan, S., and J. Morrall. 1996. Walking distances to and from light-rail transit stations. Transportation Research Record 1538: 19-26.
    • (1996) Transportation Research Record , vol.1538 , pp. 19-26
    • O'Sullivan, S.1    Morrall, J.2
  • 13
    • 34247471082 scopus 로고    scopus 로고
    • New methods to identify and rank high pedestrian crash zones: An illustration
    • Pulugurtha, S. S., V. K. Krishnakumar, and S. S. Nambisan. 2007. New methods to identify and rank high pedestrian crash zones: An illustration. Accident Analysis & Prevention 39(4): 800-811.
    • (2007) Accident Analysis & Prevention , vol.39 , Issue.4 , pp. 800-811
    • Pulugurtha, S.S.1    Krishnakumar, V.K.2    Nambisan, S.S.3
  • 14
    • 67649887479 scopus 로고    scopus 로고
    • Hazardous bus stops identification: An illustration using GIS
    • Pulugurtha, S. S., and V. K. Vanapalli. 2008. Hazardous bus stops identification: An illustration using GIS. Journal of Public Transportation 11(2): 65-83.
    • (2008) Journal of Public Transportation , vol.11 , Issue.2 , pp. 65-83
    • Pulugurtha, S.S.1    Vanapalli, V.K.2
  • 15
    • 85039682692 scopus 로고
    • RTA. Sydney: Roads and Traffic Authority of NSW
    • RTA. 1994. Road TrafficAaccidents in NSW-1993. Sydney: Roads and Traffic Authority of NSW.
    • (1994) Road TrafficAaccidents in NSW-1993
  • 17
    • 0030101830 scopus 로고    scopus 로고
    • Spatial data aggregation: Exploratory analysis of road accidents
    • Thomas, I. 1996. Spatial data aggregation: Exploratory analysis of road accidents. Accident Analysis & Prevention 28 (2):251-264.
    • (1996) Accident Analysis & Prevention , vol.28 , Issue.2 , pp. 251-264
    • Thomas, I.1
  • 18
    • 76749164319 scopus 로고    scopus 로고
    • Methods to prioritize pedestrian high-crash locations and statistical analysis of their relationships
    • Vasudevan, V., S. Pulugurtha, and S. Nambisan. 2007. Methods to prioritize pedestrian high-crash locations and statistical analysis of their relationships. Transportation Research Record 2002: 39-54.
    • (2007) Transportation Research Record , vol.2002 , pp. 39-54
    • Vasudevan, V.1    Pulugurtha, S.2    Nambisan, S.3
  • 20
    • 53949112256 scopus 로고    scopus 로고
    • Kernel Density Estimation of traffic accidents in a network space
    • Xie, Z., and J. Yan. 2008. Kernel Density Estimation of traffic accidents in a network space. Computers, Environment and Urban Systems 32(5): 396-406.
    • (2008) Computers, Environment and Urban Systems , vol.32 , Issue.5 , pp. 396-406
    • Xie, Z.1    Yan, J.2
  • 21
    • 1942520407 scopus 로고    scopus 로고
    • Comparison of planar and network K-functions in traffic accident analysis
    • Yamada, I., and J. C. Thill. 2004. Comparison of planar and network K-functions in traffic accident analysis. Journal of Transport Geography 12(2): 149-158.
    • (2004) Journal of Transport Geography , vol.12 , Issue.2 , pp. 149-158
    • Yamada, I.1    Thill, J.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.