Defining the effects of traffic violations on crash frequency by applying a spatial panel model

Pei-fen Kuo, Tien Pen Hsu, I. Gede Brawiswa Putra, Hafsah Fatihul Ilmy, Chui Sheng Chiu, Cheng Yen Wu

Research output: Contribution to conferencePaper

Abstract

Previous studies have examined the relationship between traffic violations and crash risk, and most have shown that increasing the density of traffic enforcement and issuing more tickets may deter aggressive driving and reduce local crash risk. However, few studies have discussed the spatial-temporal effects. Hence, this research applied Moran's I and a spatial panel model to define the effects of traffic violations on the frequency of crashes. Important environmental factors were used as control variables in order to capture the spatial-temporal relationship. The results show that if the violations are related to driving style, such as driving-under-influence and speeding, increasing the corresponding enforcement and issuing more tickets will decrease number of crash. However, if the violations are related to drivers' daily car use habits, then areas with higher numbers of violations may represent urban areas with more drivers and greater traffic exposure. The final model we suggest is a spatial autoregressive model with autoregressive disturbance and a fixed effect (SARAR_FE), which indicates that while there were differences in crashes by city, there were still some spatial patterns caused by unobserved variables. This model shows this unexplained spatial pattern in the error term, and spillover effects of enforcement in the lag term. Based on our results, police authorities should try increasing their enforcement density (for violations resulting from driving style) in target cities; the corresponding crash frequency could be reduced due to deterrent effects.

Original languageEnglish
Pages2126-2135
Number of pages10
Publication statusPublished - 2018 Jan 1
Event39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018 - Kuala Lumpur, Malaysia
Duration: 2018 Oct 152018 Oct 19

Conference

Conference39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018
CountryMalaysia
CityKuala Lumpur
Period18-10-1518-10-19

Fingerprint

car use
spillover effect
Law enforcement
Railroad cars
environmental factor
urban area
disturbance
effect
enforcement
traffic
city
deterrent
exposure
applied research
police

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Earth and Planetary Sciences(all)
  • Computer Networks and Communications

Cite this

Kuo, P., Hsu, T. P., Gede Brawiswa Putra, I., Ilmy, H. F., Chiu, C. S., & Wu, C. Y. (2018). Defining the effects of traffic violations on crash frequency by applying a spatial panel model. 2126-2135. Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.
Kuo, Pei-fen ; Hsu, Tien Pen ; Gede Brawiswa Putra, I. ; Ilmy, Hafsah Fatihul ; Chiu, Chui Sheng ; Wu, Cheng Yen. / Defining the effects of traffic violations on crash frequency by applying a spatial panel model. Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.10 p.
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Kuo, P, Hsu, TP, Gede Brawiswa Putra, I, Ilmy, HF, Chiu, CS & Wu, CY 2018, 'Defining the effects of traffic violations on crash frequency by applying a spatial panel model', Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia, 18-10-15 - 18-10-19 pp. 2126-2135.

Defining the effects of traffic violations on crash frequency by applying a spatial panel model. / Kuo, Pei-fen; Hsu, Tien Pen; Gede Brawiswa Putra, I.; Ilmy, Hafsah Fatihul; Chiu, Chui Sheng; Wu, Cheng Yen.

2018. 2126-2135 Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.

Research output: Contribution to conferencePaper

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Kuo P, Hsu TP, Gede Brawiswa Putra I, Ilmy HF, Chiu CS, Wu CY. Defining the effects of traffic violations on crash frequency by applying a spatial panel model. 2018. Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.