Carbon dioxide emission and bio-capacity indexing for transportation activitiesCitation formats

  • Authors:
  • Sm Labib
  • Meher Nigar Neema
  • Zahidur Rahaman
  • Shahadath Hossain Patwary
  • Shahadat Hossain Shakil

Standard

Carbon dioxide emission and bio-capacity indexing for transportation activities : A methodological development in determining the sustainability of vehicular transportation systems. / Labib, Sm; Neema, Meher Nigar; Rahaman, Zahidur; Patwary, Shahadath Hossain; Shakil, Shahadat Hossain.

In: Journal of Environmental Management, Vol. 223, 01.10.2018, p. 57-73.

Research output: Contribution to journalArticlepeer-review

Harvard

APA

Vancouver

Author

Labib, Sm ; Neema, Meher Nigar ; Rahaman, Zahidur ; Patwary, Shahadath Hossain ; Shakil, Shahadat Hossain. / Carbon dioxide emission and bio-capacity indexing for transportation activities : A methodological development in determining the sustainability of vehicular transportation systems. In: Journal of Environmental Management. 2018 ; Vol. 223. pp. 57-73.

Bibtex

@article{7158a79215dc4dc8896df7c46f06d524,
title = "Carbon dioxide emission and bio-capacity indexing for transportation activities: A methodological development in determining the sustainability of vehicular transportation systems",
abstract = "CO2 emissions from urban traffic are a major concern in an era of increasing ecological disequilibrium. Adding to the problem net CO2 emissions in urban settings are worsened due to the decline of bio-productive areas in many cities. This decline exacerbates the lack of capacity to sequestrate CO2 at the micro and meso-scales resulting in increased temperatures and decreased air quality within city boundaries. Various transportation and environmental strategies have been implemented to address traffic related CO2 emissions, however current literature identifies difficulties in pinpointing these critical areas of maximal net emissions in urban transport networks. This study attempts to close this gap in the literature by creating a new lay-person friendly index that combines CO2 emissions from vehicles and the bio-capacity of specific traffic zones to identify these areas at the meso-scale within four ranges of values with the lowest index values representing the highest net CO2 levels. The study used traffic volume, fuel types, and vehicular travel distance to estimate CO2 emissions at major links in Dhaka, Bangladesh's capital city's transportation network. Additionally, using remote-sensing tools, adjacent bio-productive areas were identified and their bio-capacity for CO2 sequestration estimated. The bio-productive areas were correlated with each traffic zone under study resulting in an Emission Bio-Capacity index (EBI) value estimate for each traffic node. Among the ten studied nodes in Dhaka City, nine had very low EBI values, correlating to very high CO2 emissions and low bio-capacity. As a result, the study considered these areas unsustainable as traffic nodes going forward. Key reasons for unsustainability included increasing use of motorized traffic, absence of optimized signal systems, inadequate public transit options, disincentives for fuel free transport (FFT), and a decline in bio-productive areas.",
keywords = "Bio-capacity, Carbon dioxide (CO ) emission, Low carbon transport, Transportation sustainability rating, Urban transport",
author = "Sm Labib and Neema, {Meher Nigar} and Zahidur Rahaman and Patwary, {Shahadath Hossain} and Shakil, {Shahadat Hossain}",
year = "2018",
month = oct,
day = "1",
doi = "10.1016/j.jenvman.2018.06.010",
language = "English",
volume = "223",
pages = "57--73",
journal = "Journal of Environmental Management",
issn = "0301-4797",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Carbon dioxide emission and bio-capacity indexing for transportation activities

T2 - A methodological development in determining the sustainability of vehicular transportation systems

AU - Labib, Sm

AU - Neema, Meher Nigar

AU - Rahaman, Zahidur

AU - Patwary, Shahadath Hossain

AU - Shakil, Shahadat Hossain

PY - 2018/10/1

Y1 - 2018/10/1

N2 - CO2 emissions from urban traffic are a major concern in an era of increasing ecological disequilibrium. Adding to the problem net CO2 emissions in urban settings are worsened due to the decline of bio-productive areas in many cities. This decline exacerbates the lack of capacity to sequestrate CO2 at the micro and meso-scales resulting in increased temperatures and decreased air quality within city boundaries. Various transportation and environmental strategies have been implemented to address traffic related CO2 emissions, however current literature identifies difficulties in pinpointing these critical areas of maximal net emissions in urban transport networks. This study attempts to close this gap in the literature by creating a new lay-person friendly index that combines CO2 emissions from vehicles and the bio-capacity of specific traffic zones to identify these areas at the meso-scale within four ranges of values with the lowest index values representing the highest net CO2 levels. The study used traffic volume, fuel types, and vehicular travel distance to estimate CO2 emissions at major links in Dhaka, Bangladesh's capital city's transportation network. Additionally, using remote-sensing tools, adjacent bio-productive areas were identified and their bio-capacity for CO2 sequestration estimated. The bio-productive areas were correlated with each traffic zone under study resulting in an Emission Bio-Capacity index (EBI) value estimate for each traffic node. Among the ten studied nodes in Dhaka City, nine had very low EBI values, correlating to very high CO2 emissions and low bio-capacity. As a result, the study considered these areas unsustainable as traffic nodes going forward. Key reasons for unsustainability included increasing use of motorized traffic, absence of optimized signal systems, inadequate public transit options, disincentives for fuel free transport (FFT), and a decline in bio-productive areas.

AB - CO2 emissions from urban traffic are a major concern in an era of increasing ecological disequilibrium. Adding to the problem net CO2 emissions in urban settings are worsened due to the decline of bio-productive areas in many cities. This decline exacerbates the lack of capacity to sequestrate CO2 at the micro and meso-scales resulting in increased temperatures and decreased air quality within city boundaries. Various transportation and environmental strategies have been implemented to address traffic related CO2 emissions, however current literature identifies difficulties in pinpointing these critical areas of maximal net emissions in urban transport networks. This study attempts to close this gap in the literature by creating a new lay-person friendly index that combines CO2 emissions from vehicles and the bio-capacity of specific traffic zones to identify these areas at the meso-scale within four ranges of values with the lowest index values representing the highest net CO2 levels. The study used traffic volume, fuel types, and vehicular travel distance to estimate CO2 emissions at major links in Dhaka, Bangladesh's capital city's transportation network. Additionally, using remote-sensing tools, adjacent bio-productive areas were identified and their bio-capacity for CO2 sequestration estimated. The bio-productive areas were correlated with each traffic zone under study resulting in an Emission Bio-Capacity index (EBI) value estimate for each traffic node. Among the ten studied nodes in Dhaka City, nine had very low EBI values, correlating to very high CO2 emissions and low bio-capacity. As a result, the study considered these areas unsustainable as traffic nodes going forward. Key reasons for unsustainability included increasing use of motorized traffic, absence of optimized signal systems, inadequate public transit options, disincentives for fuel free transport (FFT), and a decline in bio-productive areas.

KW - Bio-capacity

KW - Carbon dioxide (CO ) emission

KW - Low carbon transport

KW - Transportation sustainability rating

KW - Urban transport

UR - http://www.scopus.com/inward/record.url?scp=85048192753&partnerID=8YFLogxK

U2 - 10.1016/j.jenvman.2018.06.010

DO - 10.1016/j.jenvman.2018.06.010

M3 - Article

VL - 223

SP - 57

EP - 73

JO - Journal of Environmental Management

JF - Journal of Environmental Management

SN - 0301-4797

ER -