Relevant bibliographies by topics / Weight matrix

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Weight matrix'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Weight matrix"

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ZHU Qi-dan, 朱齐丹, 孙磊 SUN Lei, and 蔡成涛 CAI Cheng-tao. "Image restoration using adaptive weight matrix." Optics and Precision Engineering 21, no. 6 (2013): 1592–97. http://dx.doi.org/10.3788/ope.20132106.1592.

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Parnell, Gregory S., and Timothy E. Trainor. "2.3.1 Using the Swing Weight Matrix to Weight Multiple Objectives." INCOSE International Symposium 19, no. 1 (July 2009): 283–98. http://dx.doi.org/10.1002/j.2334-5837.2009.tb00949.x.

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Zheng, W. M. "Relation between weight matrix and substitution matrix: motif search by similarity." Bioinformatics 21, no. 7 (October 28, 2004): 938–43. http://dx.doi.org/10.1093/bioinformatics/bti090.

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Dai, Xiao Peng, and Dong Hui Li. "Research on Risk Assessment of Alien Species Based on Group AHP." Advanced Materials Research 765-767 (September 2013): 3094–98. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.3094.

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Alien biological disaster risk assessment is a complicated system engineering. Group decision making method was adopted to determine the alien biological disaster risk assessment index weight. We use group AHP to determine the weight, constructe corresponding judgment matrix of the assessment indexes by experts, calculate the similarity of experts according to the judgment matrix, and then determine the alien biological disaster risk assessment weights through experts weight and the judgment matrix.
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Ermagun, Alireza, and David Levinson. "An Introduction to the Network Weight Matrix." Geographical Analysis 50, no. 1 (July 5, 2017): 76–96. http://dx.doi.org/10.1111/gean.12134.

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Ummarino, Dario. "Matrix turnover linked to dietary weight loss." Nature Reviews Rheumatology 13, no. 9 (August 10, 2017): 512. http://dx.doi.org/10.1038/nrrheum.2017.137.

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Li, Jun, Yongfeng Diao, Mingdong Li, and Xing Yin. "Stability Analysis of Discrete Hopfield Neural Networks with the Nonnegative Definite Monotone Increasing Weight Function Matrix." Discrete Dynamics in Nature and Society 2009 (2009): 1–10. http://dx.doi.org/10.1155/2009/673548.

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The original Hopfield neural networks model is adapted so that the weights of the resulting network are time varying. In this paper, the Discrete Hopfield neural networks with weight function matrix (DHNNWFM) the weight changes with time, are considered, and the stability of DHNNWFM is analyzed. Combined with the Lyapunov function, we obtain some important results that if weight function matrix (WFM) is weakly (or strongly) nonnegative definite function matrix, the DHNNWFM will converge to a stable state in serial (or parallel) model, and if WFM consisted of strongly nonnegative definite function matrix and column (or row) diagonally dominant function matrix, DHNNWFM will converge to a stable state in parallel model.
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Tobita, Hidetaka. "General matrix formula for the weight-average molecular weights of crosslinked polymer systems." Journal of Polymer Science Part B: Polymer Physics 36, no. 13 (September 30, 1998): 2423–33. http://dx.doi.org/10.1002/(sici)1099-0488(19980930)36:13<2423::aid-polb17>3.0.co;2-5.

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Li, Li, Renxiang Wang, and Xican Li. "Grey fuzzy comprehensive evaluation of regional financial innovation ability based on two types weights." Grey Systems: Theory and Application 6, no. 2 (August 1, 2016): 187–202. http://dx.doi.org/10.1108/gs-02-2016-0006.

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Purpose – According to the grey uncertainty and the connotation of different types weights, the purpose of this paper is to establish the pattern of multi-dimensional grey fuzzy decision making with feedback based on weight vector and weight matrix, and applies this pattern to evaluate the regional financial innovation ability. Design/methodology/approach – At first, this paper analyzes the connotation of financial innovation ability and establishes the evaluation system of regional financial innovation ability. Second, the formula of computing the multi-objective weighted comprehensive value based on weight vector and weight matrix is put forward. In view of the object function with supervised factor and stability coefficient, this paper gives the formulas to compute weight vector and weight matrix. Moreover, the algorithm of the multi-dimensional grey fuzzy decision making pattern with feedback based on weight vector and weight matrix is expressed. At last, this paper uses the presented pattern to evaluate the financial innovation ability of thirty-one provinces in China. Findings – The results are convincing: the development of regional financial innovation is not balanced in China, having obvious spatial clustering feature. The comparisons of evaluation results based on different forms of weights show that the calculating convergence speed of the pattern presented in this paper is fast. The pattern enhances the rationality of the demarcation point between categories, and the convergence within categories, making the evaluation more reasonable. Practical implications – The method exposed in the paper can be used at evaluating the regional financial innovation ability and even for other similar evaluation problem. Originality/value – The paper succeeds in realising both the pattern of multi-dimensional grey fuzzy decision making with feedback and evaluating the regional financial innovation ability by using the newest developed theories: weighted grey and fuzzy recognition theory based on weight vector and weight matrix.
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Chang, Kung-Ching. "Principal eigenvalue for weight matrix in elliptic systems." Nonlinear Analysis: Theory, Methods & Applications 46, no. 3 (October 2001): 419–33. http://dx.doi.org/10.1016/s0362-546x(00)00140-1.

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Dissertations / Theses on the topic "Weight matrix"

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Matar, Mona. "Node and Edge Importance in Networks via the Matrix Exponential." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1564590682534316.

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Elmkharram, Hesham Moh A. "Mechanically Processed Alumina Reinforced Ultra-high Molecular Weight Polyethylene (UHMWPE) Matrix Composites." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/31522.

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Alumina particles filled Ultra-high Molecular Weight Polyethylene (UHMWPE), with Al2O3 contents 0, 1, and 2.5 wt% were milled for up to 10 hours by the mechanical alloying (MA) process performed at room temperature to produce composite powders. Compression molding was utilized to produce sheets out of the milled powders. A partial phase transformation from orthorhombic and amorphous phases to monoclinic phase was observed to occur for both the un-reinforced and reinforced UHMWPE in the solid state, which disappeared after using compression molding to produce composite sheets. The volume fraction of the monoclinic phase increased with milling time, mostly at the expense of the amorphous phase. The melting temperature decreased as a function of milling time as a result of modifications in the UHMWPE molecular structure caused by the milling. At the same time, for a given alumina composition the activation energy of melting increased with milling time. Generally, the crystallinity of the molded sheets increased with milling time, and this caused the yield strength and elastic modulus to increase with milling time for a given alumina composition. However, the tensile strength and ductility remained about the same.
Master of Science
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Storkey, Amos James. "Efficient covariance matrix methods for Bayesian Gaussian processes and Hopfield neural networks." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313335.

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Ceylan, Ciwan, and Albin Sunesson. "Weight Matrix Adaptation for increased Memory Storage Capacity in a Spiking Hopfield Network." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167996.

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Lagringskapaciteten i ett litet spiking Hopfieldnätverk undersöks med hjälp av två parametrar som styr resistansen och inhibitionen hos de synaptiska kopplingarna. Det är motiverat av möjligheten att skapa större associativa nätverk från små nätverkskluster. Den här typen av nätverksarkitekturer har observerats i naturen och skulle kunna vara grunden till framtida applikationer. Undersökningen är genomförd med hjälp av simulatorer, neuronmodeller av typen integrate-and-fire och statiska synapser. Flera olika typer av binäramönster används för att ge en detaljerad analys av lagringskapaciteten. De undersökta parametrarna har inverkan på lagringskapaciteten hosnätverket. Även skillnader i kapacitet mellan olika mönster är observerat.
The storage capacity of a small spiking Hopfield network is investigated in terms of two parameters governing the conductance and inhibition of the synaptic connections. This is motivated by the possibility of constructing larger associative networks from small network clusters. These kinds of network architectures have been observed in nature and could possibly be a foundation for future applications. The investigation is conducted using simulations of integrate-and-fire neuron models and static synapses. Several different types of binary patterns are used to provide a detailed analysis of the storage capacity. The investigated parameters have influence on the storage capacity of the network and the capacity may be improved with the right choice of parameters. Also, differences in capacity for different pattern types are observed.
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DeMarco, James P. Jr. "Mechanical characterization and numerical simulation of a light-weight aluminum A359 metal-matrix composite." Master's thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4933.

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Aluminum metal-matrix composites (MMCs) are well positioned to replace steel in numerous manufactured structural components, due to their high strength-to-weight and stiffness ratios. For example, research is currently being conducted in the use of such materials in the construction of tank entry doors, which are currently made of steel and are dangerously heavy for military personnel to lift and close. However, the manufacture of aluminum MMCs is inefficient in many cases due to the loss of material through edge cracking during the hot rolling process which is applied to reduce thick billets of as-cast material to usable sheets. In the current work, mechanical characterization and numerical modeling of as-cast aluminum A359-SiCsubscript p]-30% is employed to determine the properties of the composite and identify their dependence on strain rate and temperature conditions. Tensile and torsion tests were performed at a variety of strain rates and temperatures. Data obtained from tensile tests were used to calibrate the parameters of a material model for the composite. The material model was implemented in the ANSYS finite element software suite, and simulations were performed to test the ability of the model to capture the mechanical response of the composite under simulated tension and torsion tests. A temperature- and strain rate-dependent damage model extended the constitutive model to capture the dependence of material failure on testing or service conditions. Several trends in the mechanical response were identified through analysis of the dependence of experimentally-obtained material properties on temperature and strain rate. The numerical model was found to adequately capture strain rate and temperature dependence of the stress-strain curves in most cases.; Ductility modeling allowed prediction of stress and strain conditions which would lead to rupture, as well as identification of areas of a solid model which are most likely to fail under a given set of environmental and load conditions.
ID: 030423478; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (M.S.M.E.)--University of Central Florida, 2011.; Includes bibliographical references (p. 113-118).
M.S.
Masters
Mechanical, Materials, and Aerospace Engineering
Engineering and Computer Science
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Chu, David. "The Effect of Matrix Molecular Weight on the Dispersion of Nanoclay in Unmodified High Density Polyethylene." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/33796.

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The effect of molecular weight on the dispersion of relatively polar montmorillonite (MMT) in non polar, unmodified high density polyethylene (HDPE) was examined. Polymer layered silicate (PLS) nanocomposites were compounded using three unmodified HDPE matrices of differing molecular weight and an organically modified MMT in concentrations ranging from 2 wt% to 8 wt% via single screw extrusion. The weight average molecular weights of the HDPE matrices used in this study ranged from 87,000 g/mol to 460,000 g/mol. X-ray diffraction (XRD), mechanical testing, dynamic mechanical thermal analysis (DMTA), as well as dynamic and capillary rheometry were performed on the nanocomposites. Nanocomposites generated from the high molecular weight (HMW) HDPE matrix exhibited increased intercalation of the MMT as shown by XRD as well as greater improvements in the Youngâ s modulus compared to nanocomposites generated from both the low (LMW) and middle molecular weight (MMW) matrices. This was attributed to higher shear stress imparted to MMT during compounding from the more viscous matrix facilitating their separation and orientation during injection molding. DMTA showed that the torsional response of the HMW nanocomposites was not as great compared to their LMW and MMW counterparts as observed from a lower percentage enhancement in the storage modulus (Gâ ) and estimated heat distortion temperature (HDT) due to anisotropy in mechanical properties. Dynamic rheology indicated that a percolated network did not exist in any of the nanocomposites as shown by no change in the terminal behavior of Gâ upon addition of clay.
Master of Science
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Walton, Barbara Lynn. "A Study of Silver: an Alternative Maldi Matrix for Low Weight Compounds and Mass Spectrometry Imaging." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc499981/.

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Soft-landing ion mobility has applicability in a variety of areas. The ability to produce material and collect a sufficient amount for further analysis and applications is the key goal of this technique. Soft-landing ion mobility has provided a way to deposit material in a controllable fashion, and can be tailored to specific applications. Changing the conditions at which soft-landing ion mobility occurs effects the characteristics of the resulting particles (size, distribution/coverage on the surface). Longer deposition times generated more material on the surface; however, higher pressures increased material loss due to diffusion. Larger particles were landed when using higher pressures, and increased laser energy at ablation. The utilization of this technique for the deposition of silver clusters has provided a solvent free matrix application technique for MALDI-MS. The low kinetic energy of incident ions along with the solvent free nature of soft-landing ion mobility lead to a technique capable of imaging sensitive samples and low mass analysis. The lack of significant interference as seen by traditional organic matrices is avoided with the use of metallic particles, providing a major enhancement in the ability to analyze low mass compounds by MALDI.
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Lee, Yong-Joon. "Structure-property behavior of novel high performance thermoplastic and thermoset structural adhesives and composite matrix resins." Diss., This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-06062008-162715/.

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Fischer, Manfred M., and Philipp Piribauer. "Model uncertainty in matrix exponential spatial growth regression models." WU Vienna University of Economics and Business, 2013. http://epub.wu.ac.at/4013/1/wp158.pdf.

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This paper considers the problem of model uncertainty associated with variable selection and specification of the spatial weight matrix in spatial growth regression models in general and growth regression models based on the matrix exponential spatial specification in particular. A natural solution, supported by formal probabilistic reasoning, is the use of Bayesian model averaging which assigns probabilities on the model space and deals with model uncertainty by mixing over models, using the posterior model probabilities as weights. This paper proposes to adopt Bayesian information criterion model weights since they have computational advantages over fully Bayesian model weights. The approach is illustrated for both identifying model covariates and unveiling spatial structures present in pan-European growth data. (authors' abstract)
Series: Department of Economics Working Paper Series
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Ozturk, Ufuk. "Interval Priority Weight Generation From Interval Comparison Matrices In Analytic Hierarchy Process." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611031/index.pdf.

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In this study, for the well-known Analytic Hierarchy Process (AHP) method a new approach to interval priority weight generation from interval comparison matrix is proposed. This method can be used for both inconsistent and consistent matrices. Also for the problems having more than two hierarchical levels a synthesizing heuristic is presented. The performances of the methods, interval generation and synthesizing, are compared with the methods that are already available in the literature on randomly generated matrices.
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Books on the topic "Weight matrix"

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R, Dutton Kenneth, ed. The matrix principle: A revolutionary approach to muscle development. North Sydney, NSW Australia: Allen & Unwin., 1991.

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R, Dutton Kenneth, and Weider Research Group, eds. The matrix principle: A revolutionary approach to muscle development. Boston: John Magee Inc., 1992.

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E, Myers David. Parametric weight comparison of advanced metallic, ceramic tile and ceramic blanket thermal protection systems. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.

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Duffy, Stephen F. Design protocols and analytical strategies that incorporate structural reliability models: Final report; reporting period: January 19, 1996 - January 18, 1997; grant number: NASA cooperative agreement NCC 3-448. [Washington, DC: National Aeronautics and Space Administration, 1997.

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Tucci, S. A. Phytochemicals for the control of human appetite and body weight. Hauppauge, N.Y: Nova Science Publishers, 2010.

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Shtukina, L. V. Sakharosnizhai͡ushchie rastenii͡a i vkusnye bli͡uda: Dli͡a vsekh, kto khochet kontrolirovatʹ svoĭ ves, dli͡a predotvrashchenii͡a sakharnogo diabeta. Moskva: RIPOL klassik, 2009.

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Naveed-i-Rahat. Male outmigration and matri-weighted households: A case study of a Punjabi village in Pakistan. Delhi: Hindustan Pub. Corp., 1990.

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From protyle to proton: William Prout and the nature of matter, 1785-1985. Bristol: A. Hilger, 1985.

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Stribeck, Norbert. X-ray scattering of polymers. Berlin: Springer, 2007.

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Stribeck, Norbert. X-ray scattering of polymers. Berlin: Springer, 2007.

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Book chapters on the topic "Weight matrix"

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Xia, Xuhua. "Position weight matrix and Perceptron." In Bioinformatics and the Cell, 77–98. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90684-3_3.

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Schmidhuber, J. "A ‘Self-Referential’ Weight Matrix." In ICANN ’93, 446–50. London: Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-2063-6_107.

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Nienhuis, Bernard, and Kayed Al Qasimi. "The Loop-Weight Changing Operator in the Completely Packed Loop Model." In 2017 MATRIX Annals, 531–43. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04161-8_46.

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Cornelissen, H. A. W., D. A. Hordijk, and H. W. Reinhardt. "Post-Peak Tensile Behaviour of Lightweight versus Normal-Weight Concrete." In Brittle Matrix Composites 1, 509–25. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4319-3_34.

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Sabeenian, R. S., M. E. Paramasivam, and P. M. Dinesh. "Face Recognition Using Gray Level Weight Matrix (GLWM)." In Communications in Computer and Information Science, 69–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20499-9_11.

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Zbarsky, I. B., S. N. Kuzmina, T. V. Buldyaeva, and T. M. Bazarnova. "High Molecular Weight Proteins of Tumor Nuclear Matrix." In Nuclear Structure and Function, 355–59. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-0667-2_74.

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Vajgl, Marek. "Reduced IFAM Weight Matrix Representation Using Sparse Matrices." In Advances in Fuzzy Logic and Technology 2017, 463–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66827-7_42.

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Ma, Lin, Jian Li, and Yubin Xu. "Weight Matrix Analysis Algorithm for WLAN Indoor Positioning System." In Machine Learning and Intelligent Communications, 317–26. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00557-3_32.

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Sabeenian, R. S., and P. M. Dinesh. "Texture Image Classification Using Gray Level Weight Matrix (GLWM)." In Information Technology and Mobile Communication, 263–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20573-6_43.

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Zhang, Yuzheng, Miguel Verduzco, Andrew Parker, Mark Sommer, William Harrigan, and Al Sommer. "Commercial-Ready and Large-Scale Manufacturing of Light-Weight Aluminum Matrix Nanocomposites." In Metal-Matrix Composites Innovations, Advances and Applications, 19–27. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72853-7_2.

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Conference papers on the topic "Weight matrix"

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Peng, Zewu, Yong Tang, Luxina Lin, and Yan Pan. "Learning to rank with a Weight Matrix." In 2010 14th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2010. http://dx.doi.org/10.1109/cscwd.2010.5472010.

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Eum, Suyong, Richard Harris, Bill Lloyd-Smith, and Robert Suryasaputra. "Dynamic Weight Changes for Traffic Matrix Estimation." In Networks 2006. 12th International Telecommunications Network Strategy and Planning Symposium. IEEE, 2006. http://dx.doi.org/10.1109/netwks.2006.300359.

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Chinnappa, Yogesh, and Daniela Constantinescu. "Average Consensus in Matrix-Weight-Balanced Digraphs." In 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE). IEEE, 2019. http://dx.doi.org/10.1109/coase.2019.8843272.

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Mawarni, Mutiara, and Imam Machdi. "Dynamic nearest neighbours for generating spatial weight matrix." In 2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS). IEEE, 2016. http://dx.doi.org/10.1109/icacsis.2016.7872771.

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Chen, Minkui, Liang Shi, Beizhan Wang, and Xu Wang. "An improved credibility method based on matrix weight." In 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN). IEEE, 2011. http://dx.doi.org/10.1109/iccsn.2011.6014762.

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Suyu Wang, Li Zhuo, and Lansun Shen. "A weight matrix based blind Super Resolution restoration algorithm." In 2008 IEEE 10th Workshop on Multimedia Signal Processing (MMSP). IEEE, 2008. http://dx.doi.org/10.1109/mmsp.2008.4665199.

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Chrysostomou, Charalambos, and Huseyin Seker. "Novel protein weight matrix generated from amino acid indices." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7320293.

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Tohyama, Ichiro, Yoshio Hayasaki, Toyohiko Yatagai, Masahiko Mori, and Satoshi Ishihara. "Renewal method of weight matrix in optical neural network." In Topical Meeting on Optical Computing, edited by Andrey M. Goncharenko, Fedor V. Karpushko, George V. Sinitsyn, and Sergey P. Apanasevich. SPIE, 1993. http://dx.doi.org/10.1117/12.147840.

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Gasiea, Yousef, Margaret Emsley, and Ludmil Mikhailov. "Optimum Priority Weight Estimation Method for Pairwise Comparison Matrix." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2009. http://dx.doi.org/10.13033/isahp.y2009.066.

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Carne, Thomas G., Vesta I. Bateman, and Clark R. Dohrmann. "Force Reconstruction Using the Inverse of the Mode-Shape Matrix." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0354.

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Abstract A new technique for force reconstruction is developed. To estimate the externally applied force, this technique sums the weight-scaled acceleration signals, and is referred to as the Sum of Weighted Accelerations Technique (SWAT). To obtain the scalar weights the inverse of the mode shape matrix is used. Application of this technique is illustrated with both numerical calculations using a mass-spring model and experimental data from a structure impacting a rigid barrier.
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Reports on the topic "Weight matrix"

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Thornell, Travis, Charles Weiss, Sarah Williams, Jennifer Jefcoat, Zackery McClelland, Todd Rushing, and Robert Moser. Magnetorheological composite materials (MRCMs) for instant and adaptable structural control. Engineer Research and Development Center (U.S.), November 2020. http://dx.doi.org/10.21079/11681/38721.

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Magnetic responsive materials can be used in a variety of applications. For structural applications, the ability to create tunable moduli from relatively soft materials with applied electromagnetic stimuli can be advantageous for light-weight protection. This study investigated magnetorheological composite materials involving carbonyl iron particles (CIP) embedded into two different systems. The first material system was a model cementitious system of CIP and kaolinite clay dispersed in mineral oil. The magnetorheological behaviors were investigated by using parallel plates with an attached magnetic accessory to evaluate deformations up to 1 T. The yield stress of these slurries was measured by using rotational and oscillatory experiments and was found to be controllable based on CIP loading and magnetic field strength with yield stresses ranging from 10 to 104 Pa. The second material system utilized a polystyrene-butadiene rubber solvent-cast films with CIP embedded. The flexible matrix can stiffen and become rigid when an external field is applied. For CIP loadings of 8% and 17% vol %, the storage modulus response for each loading stiffened by 22% and 74%, respectively.
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Zhang, Yongping, Wen Cheng, and Xudong Jia. Enhancement of Multimodal Traffic Safety in High-Quality Transit Areas. Mineta Transportation Institute, February 2021. http://dx.doi.org/10.31979/mti.2021.1920.

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Numerous extant studies are dedicated to enhancing the safety of active transportation modes, but very few studies are devoted to safety analysis surrounding transit stations, which serve as an important modal interface for pedestrians and bicyclists. This study bridges the gap by developing joint models based on the multivariate conditionally autoregressive (MCAR) priors with a distance-oriented neighboring weight matrix. For this purpose, transit-station-centered data in Los Angeles County were used for model development. Feature selection relying on both random forest and correlation analyses was employed, which leads to different covariate inputs to each of the two jointed models, resulting in increased model flexibility. Utilizing an Integrated Nested Laplace Approximation (INLA) algorithm and various evaluation criteria, the results demonstrate that models with a correlation effect between pedestrians and bicyclists perform much better than the models without such an effect. The joint models also aid in identifying significant covariates contributing to the safety of each of the two active transportation modes. The research results can furnish transportation professionals with additional insights to create safer access to transit and thus promote active transportation.
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