Mapping of Rinconada accident-prone zones using data mining / (Record no. 30979)

MARC details
000 -LEADER
fixed length control field 02819nam a2200301 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field CSPC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251202090521.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251202s2024 ph a b 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency CSPC
Language of cataloging eng
Transcribing agency CSPC
Description conventions rda
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) UTH BSCS G249m 2024
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Gaspi, Jedele V.
Relator term author.
245 10 - TITLE STATEMENT
Title Mapping of Rinconada accident-prone zones using data mining /
Statement of responsibility, etc. Jedele V. Gaspi, Hazel A. Llorente, and Ian Dominic B. Sumpay
300 ## - PHYSICAL DESCRIPTION
Extent 159 leaves.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
502 ## - DISSERTATION NOTE
Dissertation note Undergraduate Thesis (BSCS) - Computer Science.
Name of granting institution Camarines Sur Polytechnic Colleges, 2024.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
520 3# - SUMMARY, ETC.
Summary, etc. Road accidents are a pressing global issue due to their devastating impact on lives, economies, and societies. It is the major public health concern due to their high fatality rate, economic losses, and lasting social impact. The goal of the study is to develop a pro-totype that can be utilized in identifying and visualizing accident-prone zones along the Rinconada highway. January 2019 to December 2023 historical accident data from Iriga City and Nabua was gathered and used in the study. The model employed the K-means clustering to group accident locations based on their geographical coordinates, identifying areas with a higher concentration of accidents. The analysis revealed that in Iriga City, San Roque (Pob.) was identified as the most accident-prone location. In Nabua, San An-tonio (Pob.) was identified as the most accident-prone location. Apriori algorithm was implemented to discover associations between different factors related to accidents, such as identifying if certain accident types are more common during specific times of day or locations. The result of the model reveals a strong association between young adults and accidents, particularly those involving motorcycles, and highlights the prevalence of acci-dents during afternoon and evening hours. The study identifies common accident types like sideswipes, rear-end collisions, and bad overtaking, analyzing their connection to time and location. A web-based mapping prototype is developed to visualize accident-prone areas and provide insights for targeted safety improvements. The findings offer valuable infor-mation for individuals to develop effective strategies for reducing accidents and enhancing road safety in Rinconada.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Llorente, Hazel A.
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sumpay, Ian Dominic B.
Relator term author.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Fortuno, Kaela Marie N.
Relator term adviser.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Benitez, Ian P.
Relator term chair, panelist.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Oñate, Joseph Jessie S.
Relator term panelist.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Onesa, Rosel O.
Relator term panelist.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Suppress in OPAC No
Koha item type Unpublished Materials
Classification part G249m
Item part BSCS
Call number prefix UTH
Call number suffix 2024
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Main Library Main Library Undergraduate Thesis Section 12/02/2025   UTH BSCS G249m 2024 007017UM 12/02/2025 1-1 12/02/2025 Unpublished Materials