2010
DOI: 10.3141/2147-02
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Accidents and Accessibility: Measuring Influences of Demographic and Land Use Variables in Honolulu, Hawaii

Abstract: The current study examined the interplay between demographic, land use, and roadway accessibility variables and types of accidents in Honolulu, Hawaii. A uniform 0.1-mi2 grid was used as the basis for analysis and was combined with binomial logistic regression. Eight models were constructed to consider the relationship between total accidents, injury, fatality, pedestrian, bicycle, moped, motorcycle, and motor vehicle to motor vehicle crashes as a function of population, land use, and accessibility measures su… Show more

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citations
Cited by 58 publications
(38 citation statements)
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References 25 publications
(14 reference statements)
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“…In particular, workers per residents (WKGD) is associated with C car , C truck , C seg , C peaknight and C day . These results confirm earlier research by Lovegrove et al [15] and Kim et al [39,94]. The difference between C peaknight and C peakday is related to the different activities carried out during the hours of the day.…”
Section: Resultssupporting
confidence: 92%
See 1 more Smart Citation
“…In particular, workers per residents (WKGD) is associated with C car , C truck , C seg , C peaknight and C day . These results confirm earlier research by Lovegrove et al [15] and Kim et al [39,94]. The difference between C peaknight and C peakday is related to the different activities carried out during the hours of the day.…”
Section: Resultssupporting
confidence: 92%
“…Hbus is a proxy for pedestrian traffic, so the positive sign indicates a growing correlation with crashes. The association between increased collisions and increased bus stops (BS) is consistent with researches of Kim et al [39,94], Wei et al [88] and Rhee et al [98]. A larger number of subway stations were found to increase traffic crashes.…”
Section: Resultssupporting
confidence: 85%
“…As the fundamental landscape component that shapes diversified regional forms and functions, the roles of individual land use classes, including commercial (Kim, Pant, & Yamashita, 2010), industrial (Priyantha Wedagama, Bird, & Metcalfe, 2006), residential (Kim & Yamashita, 2002), educational (Sebos, Progiou, Symeonidis, & Ziomas, 2010), and official land uses (Narayanamoorthy, Paleti, & Bhat, 2013), in explaining SCs have been continually investigated. Several recent studies have also emphasized the effects of land use structures on SCs.…”
Section: Introductionmentioning
confidence: 99%
“…Compared with residential areas, the likelihood of crashes occurring in commercial areas [ [16] and OUYANG and BEJLERI [17], we find that the presence of additional overpasses may account for the crash frequency reductions in commercial and mixed-land areas of Hong Kong. As shown in Fig.…”
Section: Resultsmentioning
confidence: 89%