- Abdel-Aty, M., Siddiqui, C., Huang, H., and Wang, X. (2011) “Integrating trip and roadway characteristics to manage safety in traffic analysis zones”, Transportation Research Record: Journal of the Transportation Research Board(2213), pp. 20-28.
- Association, W. R. (2003) “Road safety manual”, Piarc technical committee on road safety.
- Dong, N., Huang, H., Xu, P., Ding, Z., and Wang, D. (2014) “Evaluating spatial-proximity structures in crash prediction models at the level of traffic analysis zones”, Transportation Research Record: Journal of the Transportation Research Board(2432), pp. 46-52.
- Elmitiny, N., Yan, X., Radwan, E., Russo, C., and Nashar, D. (2010) “Classification analysis of driver's stop/go decision and red-light running violation”, Accident Analysis and Prevention, Vol. 42, pp 101-111.
- European Commission., )2016( “Road safety in the European Union: Trends, statistics and main challenges”, European Commission, November 2016.
- Haghighi, F.R., (2017) “Assessment of various hot spot identification methods based on field investigation” Journal of Transportation Research, in press.
- Huang, H., Song, B., Xu, P., Zeng, Q., Lee, J., and Abdel-Aty, M. (2016) “Macro and micro models for zonal crash prediction with application in hot zones identification”, Journal of Transport Geography, Vol. 54, pp. 248-256.
- Köll, H., Bader, M., and Axhausen, K.W. (2004) “Driver behaviour during flashing green before amber: a comparative study”, Accident Analysis and Prevention, Vol. 36, pp 273-280
- Lee, J., and Mannering, F. L. (1999) “Analysis of roadside accident frequency and severity and roadside safety management”, Washington State Department of Transportation Olympia, WA.
- Lee, J., M. Abdel-Aty & Q. Cai (2017) Intersection crash prediction modeling with macro-level data from various geographic units. Accident Analysis & Prevention, 102, 213-226.
- Mannering, F. L., and Bhat, C. R. (2014) “Analytic methods in accident research: Methodological frontier and future directions”, Analytic methods in accident research, Vol. 1, pp. 1-22.
- Naderan, A. (2011) “Forecasting Crashes in Urban Districts using Aggregate Crash Prediction Models”, Journal of Transportation Engineering, Vol. 2, pp 155-169.
- Papaioannou, P. (2007), “Driver behaviour, dilemma zone and safety effects at urban signalized intersections in Greece”, Accident Analysis and Prevention, Vol. 39, pp 147-158.
- Pulugurtha, S. S., and Sambhara, V. R. (2011) “Pedestrian crash estimation models for signalized intersections”, Accident Analysis and Prevention, Vol. 43. No. 1, pp. 439-446.
- Pulugurtha, S. S., Duddu, V. R., and Kotagiri, Y. (2013) “Traffic analysis zone level crash estimation models based on land use characteristics”, Accident Analysis and Prevention, Vol. 50, pp. 678-687.
- Quistberg, D. A., Howard, E. J., Ebel, B. E., Moudon, A. V., Saelens, B. E., Hurvitz, P. M., Curtin, J. E., and Rivara, F. P. (2015) “Multilevel models for evaluating the risk of pedestrian–motor vehicle collisions at intersections and mid-blocks”, Accident Analysis and Prevention, Vol. 84, pp. 99-111.
- Road Maintenance and Transportation Organization (RMTO). )2015( “RMTO-Statistical yearbook, 2015”, Ministry of Road and Urban Development, Iran, 2015.
- Soltani, N., Mamdoohi, A.R. (2016) “A Model of Driver Behavior in Response to Road Roughness: A Case Study of Yazd Arterials”, Journal of Geotechnical and Transportation Engineering, Vol 2. No 2. pp 46-50.
- Soltani, N., Saffarzadeh, M., Naderan, A., (2018) “Evaluation of micro and macro models in identifying urban hot zones; Journal of Transportation Research, in press.
- Wang, J., Huang, H., and Zeng, Q. (2017) “The effect of zonal factors in estimating crash risks by transportation modes: Motor vehicle, bicycle and pedestrian”, Accident Analysis and Prevention, Vol. 98, pp 223–231.
- Wang, X., Wu, X., Abdel-Aty, M., and Tremont, P. J. (2013) “Investigation of road network features and safety performance”, Accident Analysis and Prevention, Vol. 56, pp. 22-31.
- Wang, Y., and Kockelman, K. M. (2013) “A Poisson-lognormal conditional-autoregressive model for multivariate spatial analysis of pedestrian crash counts across neighborhoods”, Accident Analysis and Prevention, Vol. 60, pp. 71-84.
- Washington, S., Metarko, J., Fomunung, I., Ross, R., Julian, F., and Moran, E. (1999) “An inter-regional comparison: fatal crashes in the southeastern and non-southeastern United States: preliminary findings”, Accident Analysis and Prevention, Vol. 31, No. 1, pp. 135-146.
- Xu, P., and Huang, H. (2015) “Modeling crash spatial heterogeneity: random parameter versus geographically weighting”, Accident Analysis and Prevention, Vol. 75, pp. 16-25.
- Xu, P., Huang, H., Dong, N., and Abdel-Aty, M. (2014) “Sensitivity analysis in the context of regional safety modeling: Identifying and assessing the modifiable areal unit problem”, Accident Analysis and Prevention, Vol. 70, pp. 110-120.