─ Anderson, T. K. (2009), "Kernel density estimation and K-means clustering to profile road accident hotspots", Accident Analysis and Prevention, Vol. 41, No. 3, pp. 359-364.
─ Braddock, M., Lapidus, G., Cromley, E., Cromley, R., Burke, G., and Banco, L. (1994), "Using a geographic information system to understand child pedestrian injury", American Journal of Public Health, Vol. 84, No. 7,
pp. 1158-1161.
─ Campbell, B.J., et al. (2004), "A Review of Pedestrian Safety Research in the United States and Abroad". pp. 150.
─ Chang, L.-Y. (2005), "Analysis of freeway accident frequencies: negative binomial regression versus artificial neural network", Safety Science, Vol. 43, No. 8, pp. 541-557.
─ Chen, X., Fang, Z., Li, G., and Tao, B. (1989), "Non-parametric statistics", Shanghai Science and Technology Press, Shanghai, pp. 284-292.
─ Chiou, Y.-C. (2006), "An artificial neural network-based expert system for the appraisal of two-car crash accidents", Accident Analysis and Prevention, Vol. 38, No. 4, pp. 777-785.
─ Deshpande, N., Chanda, I., and Arkatkar, S. S. (2011), "Accident mapping and analysis using geographical information systems", International Journal of Earth Sciences and Engineering, Vol. 4, No. 6, pp. 342-345.
─ FHWA. (2005), "Draft 2005 New Orleans Metropolitan Bicycle and Pedestrian Plan", Regional Planning Commission (Ed.).
─ Fotheringham, A. S., Brunsdon, C., and Charlton, M. (2000), "Quantitative geography: perspectives on spatial data analysis", Sage Publications, ISBN.
─ Loo, B. P., Yao, S., and Wu, J. (2011), "Spatial point analysis of road crashes in Shanghai: A GIS-based network kernel density method", Paper presented at the Geoinformatics, 2011 19th International Conference on.
─ Mofadal, A.I., K. Kanitpong, and P. Jiwattanakulpaisarn, (2015), "Analysis of pedestrian accident costs in Sudan using the willingness-to-pay method". Accid Anal Prev, Vol. 78, pp. 11-201.
─ O'Sullivan, D., and Wong, D. W. (2007), "A Surface‐Based Approach to Measuring Spatial Segregation", Geographical Analysis, Vol. 39, No. 2, pp. 147-168.
─ Pulugurtha, S. S., Krishnakumar, V. K., and Nambisan, S. S. (2007), "New methods to identify and rank high pedestrian crash zones: An illustration", Accident Analysis and Prevention, Vol. 39, No. 4, pp. 800-811.
─ Silverman, B. W. (1986), "Density estimation for statistics and data analysis", Vol. 26, CRC press.
─ Song, J. J., Ghosh, M., Miaou, S., and Mallick, B. (2006), "Bayesian multivariate spatial models for roadway traffic crash mapping", Journal of multivariate analysis, Vol. 97, No. 1, pp. 246-273.
─ WHO. (2013), "World Health Organization, global status report on road safety: supporting a decade of action".
─ WHO. (2015), "World Health Organization, Global status report on road safety"
─ Xie, Z., and Yan, J. (2008), "Kernel density estimation of traffic accidents in a network space", Computers, Environment and Urban Systems, Vol. 32, No. 5, pp. 396-406.
─ Yu, H., Liu, P., Chen, J., and Wang, H. (2014), "Comparative analysis of the spatial analysis methods for hotspot identification", Accid Anal Prev, Vol. 66, pp. 80-88.
─ Ziari, H. and M.M. Khabiri, (2005), "Applied GIS software for improving pedestrian & bicycle safety". Transport, Vol. 20 (4), pp. 160-164.
─ سازمان حمل‌ونقل و ترافیک شهرداری مشهد (1393)، "تصادفات جرحی عابر پیاده شهر مشهد."
─ سازمان پزشکی قانونی کشور (1394)، "مقایسه آمار متوفیات و مصدومین حوادث رانندگی" .
─ قیاسی، ای.، (1390)،" مکان‌یابی نقاط حادثهخیز تصادفات عابرین پیاده با استفاده از " GIS، کارشناسی ارشد، دانشگاه صنعتی خواجه نصیرالدین طوسی، دانشکده مهندسی.
─ معاونت مطالعات و برنامه‌ریزی، سازمان حمل‌ونقل و ترافیک شهرداری مشهد (1394)، "یازدهمین آمارنامه‌ی حمل‌ونقل شهر مشهد" .
)