Assessing air pollution risks from electric vehicles in Bangkok : (Record no. 8739)

MARC details
000 -LEADER
fixed length control field 04123nas a2200361 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817163424.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250709s20249999th u ms t 000 eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b12462081
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT RSPR no.UI-24-01
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Nawapat Choosuwan
245 10 - TITLE STATEMENT
Title Assessing air pollution risks from electric vehicles in Bangkok :
Remainder of title towards mitigation strategies and policy recommendations
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent 140 leave :
Other physical details ill.+
Accompanying material 1 online resource
490 1# - SERIES STATEMENT
Series statement Research studies project report ;
Volume/sequential designation no. UI-24-01
500 ## - GENERAL NOTE
General note A research study submitted in partial fulfillment of the requirements for the degree of Master of Science in Urban Innovation and Sustainability
502 ## - DISSERTATION NOTE
Dissertation note Research Studies Project Report (M. Sc.) - Asian Institute of Technology, 2024
520 ## - SUMMARY, ETC.
Summary, etc. Air pollution remains a critical concern in densely populated urban areas, particularly in cities like Bangkok where transportation emissions are a predominant contributor. This study aims to comprehensively understand the current situation and explore the relationship between electric vehicle (EV) adoption and air pollution risk in Bangkok, ultimately proposing effective policy recommendations for promoting EV adoption and improving air quality. The research utilized advanced machine learning models, including XGBoost, Naive Bayes, K-Nearest Neighbors (KNN), and Random Forest to assess air pollutant emission risks. The air pollutant emission risk assessment employs various air pollutants and environmental factors considered, such as CO, SO2, NO2, O3, PM2.5, PM10, wind speed (WS), wind direction (WD), relative humidity (RH), temperature, building density, road density, distance from roads, and the Normalized Difference Vegetation Index (NDVI). Pearson{u2019}s correlation was employed in the study to examine the relationship between EV charging density and air pollutant emission risk in Bangkok CBD. The findings for the current situation reveal a significant increase in Battery Electric Vehicle (BEV) registrations from 2018 to 2023, driven by technological advancements, government incentives, and rising environmental awareness. However, the study also highlights persistently high levels of particulate matter (PM2.5 and PM10) in densely populated and high-traffic areas, indicating the need for more aggressive measures to improve air quality. Key findings indicate that all models consistently identified high and very high-risk zones, particularly in the Central Business District (CBD) and along major roads, underscoring the significant impact of vehicular traffic and dense urbanization on air quality. A notable achievement of this study is the identification of a significant inverse correlation between EV charging capacity and air pollution risk, with areas of high charging capacity showing lower pollution levels. The insights and recommendations provided in this study offer a comprehensive roadmap for policymakers and stakeholders. By addressing infrastructure gaps, enhancing capacity, leveraging successful models, and fostering public-private collaboration, Bangkok can significantly reduce its environmental footprint and promote a healthier urban environment.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Air
General subdivision Pollution
-- Government policy
Geographic subdivision Thailand
-- Bangkok
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Urban pollution
Geographic subdivision Thailand
-- Bangkok
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pramanik, Malay,
Relator term Chairperson
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Vilas Nitivattananon,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ekbordin Winijkul,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Royal Thai Government Fellowship,
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Research studies project report ;
Volume/sequential designation no. UI-24-01
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B22689">http://203.159.5.9/ait-thesis/detail.php?q=B22689</a>
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b mnarc
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902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 250908
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 250905
First date, FD (RLIN) m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 67-Electronic Resource
909 ## - LOCAL ITEMS USED
Barcode Barcode : -
CREATED CREATED : 2025-09-07
RECORD Id RECORD # : i13553999
LPATRON LPATRON : 0
LCHKIN LCHKIN : -
RENEWALS # RENEWALS : 0
-- # OVERDUE : 0
-- IUSE3 : 0
-- TOT CHKOUT : 0
-- TOT RENEW : 0
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026   AIT RSPR no.UI-24-01 17/08/2026 1 17/08/2026 67-Electronic Resource
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