The goal of IJTTE is to broaden the knowledge of traffic and transport experts and academicians by promoting free access and provide valuable insight to transport related information, research and ideas. IJTTE will serve as a great resource for researchers and students across the globe.
Volume List  / Volume 9 (4)

Article

TRAFFIC ANALYSIS ZONE LEVEL ROAD TRAFFIC ACCIDENT PREDICTION MODELS BASED ON LAND USE CHARACTERISTICS

DOI: 10.7708/ijtte.2019.9(4).03


9 / 4 / 376 - 386 Pages

Author(s)

Kamatalam Mahaboob Peera - Transportation Division, Department of Civil Engineering, National Institute of Technology, Warangal-506004, Telangana, India -

Ravinder Singh Shekhawat - Transportation Division, Department of Civil Engineering, National Institute of Technology, Warangal-506004, Telangana, India -

CSRK Prasad - Transportation Division, Department of Civil Engineering, National Institute of Technology, Warangal-506004, Telangana, India -


Abstract

Studies have shown that there is a link between different land use characteristics and road traffic accidents. The present study investigates this relationship between road traffic accidents and land use characteristics for Cyberabad area of Hyderabad city. Generalized linear regression techniques are used for developing the relationship between different land use characteristics with the road traffic accidents. Total accidents and KSI (Killed and Severe Injury) accidents per year for each traffic analysis zone (TAZ) are taken as dependent variables whereas employment density and land use proportions for each TAZ are taken as independent variables. The correlation matrix developed between the independent variables showed a high degree of correlation between the population density with the residential area. The results from the generalized linear regression analysis show that the employment density, residential area, and road length are positively correlated with road traffic accidents whereas mixed land use is negatively correlated with road traffic accidents. It also found that mixed land use was also negatively correlated and road length is positively correlated to the KSI.


Download Article

Number of downloads: 807

Keywords:
land use; generalized linear model; traffic analysis zone; spatial analysis;


Acknowledgements:

Authors express their thanks to the Hyderabad Metropolitan Development Authority officials and LEA Associates, Hyderabad for providing the necessary data. Authors express also their thanks ACP Traffic, Hyderabad Traffic Police for providing the accident data.


References:

Aryaija, J.; Dissanayake, D.; Bird, R. 2007. Land use factors and the risk for child pedestrians, Journal of the Eastern Asia Society for Transportation Studies 7: 2814-2829.

 

ASIRT. 2016. Road Safety Facts. The Association for Safe International Road Travel. Available from Internet: https://www.asirt.org/safe-travel/road-safety-facts/. Accessed on 18th December 2018.

 

Chengye, P.; Ranjitkar, P. 2013. Modelling motorway accidents using negative binomial regression, Journal of the Eastern Asia Society for Transportation Studies 10: 1946-1963.

 

Dissanayake, D.; Aryaija, J.; Wedagama, D. P. 2009. Modelling the effects of land use and temporal factors on child pedestrian casualties, Accident Analysis & Prevention 41(5): 1016-1024.

 

Ivan, J. N.; Wang, C.; Bernardo, N. R. 2000. Explaining two-lane highway crash rates using land use and hourly exposure, Accident Analysis & Prevention 32(6): 787-795.

 

Kim, K.; Brunner, I. M.; Yamashita, E. Y. 2006. Influence of land use, population, employment, and economic activity on accidents, Transportation research record 1953(1): 56-64.

 

Kim, K.; Pant, P.; Yamashita, E. 2010. Accidents and accessibility: Measuring influences of demographic and land use variables in Honolulu, Hawaii, Transportation Research Record 2147(1): 9-17.

 

Kim, K.; Yamashita, E. 2002. Motor vehicle crashes and land use: empirical analysis from Hawaii, Transportation Research Record: Journal of the Transportation Research Board (1784): 73-79.

 

Levine, N.; Kim, K. E.; Nitz, L. H. 1995. Spatial analysis of Honolulu motor vehicle crashes: II. Zonal generators, Accident Analysis & Prevention 27(5): 675-685.

 

Miaou, S. P. 1994. The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions, Accident Analysis & Prevention 26(4): 471-482.

 

Pulugurtha, S. S.; Duddu, V. R.; Kotagiri, Y. 2013. Traffic analysis zone level crash estimation models based on land use characteristics, Accident Analysis & Prevention 50: 678-687.

 

Wang, X.; Yang, J.; Lee, C.; Ji, Z.; You, S. 2016. Macro-level safety analysis of pedestrian crashes in Shanghai, China, Accident Analysis & Prevention 96: 12-21.

 

Wedagama, D. M. P.; Bird, R.; Dissanayake, D. 2007. The influence of urban land use on pedestrians accidents during congested and uncongested periods, In Proceedings of the Eastern Asia Society for Transportation Studies The 7th International Conference of Eastern Asia Society for Transportation Studies, 364-364.

 

Wedagama, D. P.; Bird, R. N.; Metcalfe, A. V. 2006. The influence of urban land-use on non-motorised transport casualties, Accident Analysis & Prevention 38(6): 1049-1057.

 

WHO. 2015. Global status report on road safety 2015: supporting a decade of action. World Health Organization. Violence, Injury Prevention, & World Health Organization.

 

Yang, B. Z.; Loo, B. P. 2016. Land use and traffic collisions: A link-attribute analysis using Empirical Bayes method, Accident Analysis & Prevention 95: 236-249.


Quoted IJTTE Works

There is no quoted studies.



Related Keywords

AN EVALUATION OF THE EFFECT OF BIRD STRIKES ON FLIGHT SAFETY OPERATIONS AT INTERNATIONAL AIRPORT

DEVELOPMENT AND STATISTICAL VALIDATION OF A SIMPLIFIED LOGISTIC LAND USE CHANGE MODEL