-کاشانی، م. و سامی، ا.، (1395)، "تأثیر کیفیت جاده در مرگومیر ناشی از تصادفات با استفاده از اتوماتای سلولی". پژوهشنامه حملونقل، دوره 13، شماره 4، ص. 145-125.
-مومنیمژده، ا.، ابطحیفروشانی، س.م. و صفوی، ح.ر.، (1395)، "ارایه روشی جهت شناسایی و اولویتبندی نقاط مستعد مخاطرات در شبکههای حملونقل جادهای، مطالعه موردی استان اصفهان". پژوهشنامه حملونقل، دوره 13،
شماره 3، ص.131-104.
-Aad, G., Abbott, B., Abdallah, J., Khalek, S. A., Abdinov, O., Aben, R., Abi, B., Abolins, M., AbouZeid, O. and Abramowicz, H., (2014), "Measurements of spin correlation in top-antitop quark events from proton-proton collisions at s= 7 TeV using the ATLAS detector". Physical Review D. 90(11): 112016.
-Abed, K.A. and Ahmad, A.A., (2020), "The best parameters selection using pso algorithm to solving for ito system by new iterative technique". Indonesian Journal of Electrical Engineering and Computer Science, 18(3), pp.1638-1645.
-Afghari, A.P., Haque, M.M. and Washington, S., (2020), "Applying a joint model of crash count and crash severity to identify road segments with high risk of fatal and serious injury crashes". Accident Analysis & Prevention, 144, pp.105615.
-Attig, S., (2019), "The Organic Pattern of Space: A Space Syntax Analysis of Natural Streets and Street Segments for Measuring Crime and Traffic Accidents". MS.c Thesis, KTH Royal Institute of Technology School of Architecture & Built Environment Stockholm, Sweden.
-Batagelj, V. and Mrvar, A., (2003),
"Pajek-Program for Large Network Analysis", Home page http://vlado.fmf.uni-lj.si/pub/networks/pajek/.
-Dasanayaka, U. and Jayasinghe, A., (2014), "Road traffic crashes and road configuration-a space syntax application". FARU Journal, 5, pp. 309-324.
-Du, D., (2019), "Social network analysis: Centrality measures". University of New Brunswick.
-Erdogan, M., Ilci, V., Soysal, O. and Korkmaz, A., (2015), "A model suggestion for the determination of the traffic accident hotspot on the Turkish highway road network: a pilot study", ISSN 1982-2170.
-Fotheringham, A.S. and Oshan, T.M., )2016), "Geographically weighted regression and multicollinearity: dispelling the myth". Journal of Geographical Systems, 18(4), pp.303-329.
-Gao, S., Wang, Y., Gao, Y. and Liu, Y. (2013), "Understanding urban traffic-flow characteristics: a rethinking of betweenness centrality". Environment and Planning B: Planning and Design, 40(1), pp.135-153.
-Getis, A. and Ord, J.K., (1996), "Local spatial autocorrelation statistics: Distributional issues and anapplication". Geographical Analysis. 27, pp. 286-306.
-Griffith, D.A., (2008), "Spatial-filtering-based contributions to a critique of geographically weighted regression (GWR)", Environment and Planning, Vol. 40, pp. 2751-2769.
-Hamzah, M.J. and Ebraheem, M.A. (2020), "Analyzing Urban Attraction Nodes by using GIS and Space Syntax (case study-Al-Adhamiya) ", MS&E, 737(1), pp.012181.
-Harirforoush, H. and Bellalite, L. (2019), "A new integrated GIS-based analysis to detect hotspots: a case study of the city of Sherbrooke", Accident Analysis & Prevention, 130, pp.62-74.
-Hillier, B. and Iida, S., (2005), "Network and psychological effects in urban movement. Berlin". Proc. International Conference of Spatial Information Theory, Berlin, Germany. 14-18 September 2005. pp. 475-490.
-Jiang, B. and Claramunt, C., (2002), "Integration of space syntax into GIS: new perspectives for urban morphology", Transactions in GIS, 6(3),
pp. 295-309.
-Jiang, B. and Liu, C., (2009), "Street based topological representations and analyses for predicting traffic flow in GIS". International Journal of Geographical Information Science 23(9): pp. 1119-1137.
-Jiang, B., (2015), "Axwoman 6.3: An ArcGIS extension for urban morphological analysis", http://giscience.hig.se/binjiang/Axwoman/, University of Gävle, Sweden.
-Kennedy, J. and Eberhart, R.C., (1995), "Particle swarm optimization", Proc. of The IEEE International Conference on Neural Networks, Perth, WA, Australia, 27-30 November, pp. 1942-1948.
-Kennedy, J. and Eberhart, R.C. (1997), "A discrete binary version of the particle swarm algorithm". Proc. of The IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, Orlando, FL, USA, 12-15 October,
pp. 4104-4108.
-Koohsari, M.J., Oka, K., Owen, N. and Sugiyama, T., (2019), "Natural movement: A space syntax theory linking urban form and function with walking for transport", Health & place, 58, pp.102072.
-Liu, Y., Wang, S., Fu, X. and Xie, B., (2019), "A network-constrained spatial identification of high-risk roads for hit-parked-vehicle collisions in Brisbane, Australia", Environment and Planning A: Economy and Space, 51(2), pp. 279-282.
-Mansouri, M. and Ujang, N. (2017), "Space syntax analysis of tourists’ movement patterns in the historical district of Kuala Lumpur, Malaysia", Journal of Urbanism: International Research on Placemaking and Urban Sustainability, 10(2), pp.163-180.
-Mitchell, A., (2005), "The ESRI Guide to GIS Analysis: Volume 2: Spatial Measurements & Statistics", Vol. 2, Redlands, CA: ESRI Press.
-Obeidat, B., AlHashimi, I. and Tawalbeh, S., (2017), "Urban grid and traffic safety: Using space syntax as an assessment tool". Proc. of The 11th Space Syntax Symposium, Lisbon, Portugal, 3-7 July 2017. pp. 99-112.
-Okabe, A., Satoh, T. and Sugihara, K., (2009), "A kernel density estimation method for networks, Its computational method and a GIS-based tool". International Journal of Geographical Information Science, 23,
pp. 7-32.
-Oshan, T. M., Li, Z., Kang, W., Wolf, L. J and Fotheringhm, A.S., (2019), "MGWR: A Python implementation of multiscale geographically weighted regression for investigating process spatial heterogeneity and scale", ISPRS International Journal of
Geo-Information, 8 (6), pp. 269.
-Ouni, F. and Belloumi, M., (2019), "Pattern of road traffic crash hot zones versus probable hot zones in Tunisia: A geospatial analysis", Accident Analysis & Prevention, 128, pp. 185-196.
-Pan, Z.G., Lan, G.W., Fan, D.L., Du, Y.L. and Zeng, Y., (2020), "Analysis of Accessibility of Urban Roads Based on Space Syntax and Distance Measurement", The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 42,
pp.159-165.
-Qi, X., Duval, R., Christensen, K., Fuller, E., spahiu, A., Wu, Q., tang, W. and zhang, C., (2013), "Treorist networks, network energy and node removal: a new measure of centraility based on laplacian energy", Social Networking, 2(01), pp. 19.
-Rahmani, H., Kamali, H. and Shah-Hosseini, H., (2020), "DINGA: A Genetic-algorithm-based Method for Finding Important Nodes in Social Networks", Journal of AI and Data Mining.
-Rao, U.K., (2012), "Concepts in sample size determination". Indian Journal of Dental Research, 23(5), pp.660.
-Saeidian, B., Mesgari, M.S., Pradhan, B. and Ghodousi, M., (2018), "Optimized location-allocation of earthquake relief centers using PSO and ACO, complemented by GIS, clustering, and TOPSIS". ISPRS International Journal of Geo-Information, 7(8), pp.292.
-Sen, T., and Kumar Chaudhary, D., (2017), "Contrastive study of simple pagerank, hits and weighted pagerank algorithms: Review",
pp. 721–727.
Sharmin, S. and Kamruzzaman, M., (2018), "Meta-analysis of the relationships between space syntax measures and pedestrian movement", Transport Reviews, 38(4),
pp.524-550.
-Steenberghen, T., Dufays, T., Thomas, I. and Flahaut, B., (2004), "Intra-urban location and clustering of road accidents using GIS: A Belgian example", International Journal of Geographical Information Science, Vol. 18, pp. 169-181.
-Steiger, E., Westerholt, R., Resch, B. and Zipf, A. (2015), "Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data", Computers, Environment and Urban Systems, Vol. 54,
pp. 255-265.
Thakali, L., Kwon, T. J. and Fu, L., (2015), "Identification of crash hotspots using kernel density estimation and kriging methods: A comparison", Journal of Modern Transportation, 23(2), pp. 93-106.
-Tobler, W., (1970), "A computer movie simulating urban growth in the Detroit region", Economic Geography. 46 (2). pp. 234-240.
-Wang, K., Zhao, S., Ivan, J.N., Ahmed, I. and Jackson, E. (2020), "Evaluation of hot spot identification methods for municipal roads", Journal of Transportation Safety & Security, 12(4), pp.463-481.
-Wheeler, D. C., (2014), "Geographically Weighted Regression", Handbook of Regional Science, Springer: pp. 1435-1459.
-Xia, Z., Li, H. and Chen, Y., (2017), "An Integrated Spatial Clustering Analysis Method for Identifying Urban Fire Risk Locations in a Network-Constrained Environment: A Case Study in Nanjing, China", ISPRS International Journal of Geo-Information, 6(11), pp.370.
-Xie, Z. and Yan, J., (2008), "Kernel density estimation of traffic accidents in a network space Computers", Environment and Urban Systems. 32 (5), pp. 396-406.
-Zhu, H., Wang, Y., Wang, K. and Chen, Y., (2011), "Particle swarm optimization (PSO) for the constrained portfolio optimization problem", Expert Systems with Applications, No. 8, Vol. 38, pp. 10161-10169.