CO₂ emission from passenger travel in Guangzhou, China: A small area simulation

Urban passenger travel is a major source of greenhouse gas emission. For China, understanding how passenger transport CO₂ emission varies within cities is constrained by data availability, which limits development of mitigation policies and interventions targeted at specific areas or populations. The authors address this problem by applying an improved bottom-up methodology to provide temporal and spatially resolved estimates of daily passenger transport CO₂ emission for urban Guangzhou. Drawing on sample census data they develop a spatial microsimulation of the population, which applied with an activity diary survey allows spatial simulation of the synthetic population's daily travel and transport CO₂ emission at the sub-district scale for workday and weekend, respectively. Point-of-interest (POI) data is used to quantify the connection between urban form, passenger travel and transport CO₂ emission. Results show that people residing in the compact city centre make shorter trips, have more non-motorised travel and emit less CO₂ on both workday and weekend. In contrast, residents of newly developed urban areas and remote districts, characterised by low population and employment density, and poor accessibility to facilities and services, travel further generating more CO₂ emission on a typical workday, but exhibit significant variation between workday and weekend. The microsimulation approach presents greater insight into the micro-scale spatio-temporal variability of passenger transport CO₂ emission in a Chinese mega-city than has previously been possible.

• Record URL:
  https://doi.org/10.1016/j.apgeog.2018.07.015
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0143622817300589
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01436228
• Supplemental Notes:
  • © 2018 Elsevier Ltd. All rights reserved. Abstracted reprinted with permission of Elsevier.
• Authors:
  • Ma, Jing
  • Zhou, Suhong
  • Mitchell, Gordon
  • Zhang, Jiting
• Publication Date: 2018-9

Language

• English

Media Info

• Media Type: Web
• Features: Figures; Maps; References; Tables;
• Pagination: pp 121-132
• Serial:
  • Applied Geography
  • Volume: 98
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0143-6228
  • Serial URL: http://www.sciencedirect.com/science/journal/01436228

Subject/Index Terms

• TRT Terms: Activity choices; Carbon dioxide; Greenhouse gases; Microsimulation; Passenger transportation; Residential location; Travel diaries; Urban travel
• Geographic Terms: Guangzhou (China)
• Subject Areas: Environment; Passenger Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01690199
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 28 2018 2:02PM