Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76305
Title: Uncovering the spatiotemporal patterns of CO2 emissions by taxis based on Individuals' daily travel
Authors: Zhao, PX 
Kwan, MP
Qin, K
Keywords: Taxi trajectory data
Human trips
CO2 emissions
Spatiotemporal patterns
Trip behavior
Issue Date: 2017
Publisher: Pergamon Press
Source: Journal of transport geography, 2017, v. 62, p. 122-135 How to cite?
Journal: Journal of transport geography 
Abstract: Traffic-related carbon dioxide (CO2) emissions have become a major problem in cities. Especially, the CO2 emissions induced by taxis account for a high proportion in total CO2 emissions. The availability of taxi trajectory data presents new opportunities for addressing CO2 emissions induced by taxis. Few previous studies have analyzed the impact of human trips on CO2 emissions. This paper investigates trip-related CO2 emission patterns based on individuals' travel behavior using taxi trajectory data. First, we propose a trip purpose inference method that takes into account the spatiotemporal attractiveness of POIs to divide human trips into different types. Further, we reveal the spatiotemporal patterns of CO2 emissions from various types of trips, including temporal regularity and periodicity as well as spatial distribution of "black areas". Finally, comparative analysis of CO2 emissions for different kinds of trips based on trip behavior is conducted using three variables, namely trip distance, trip duration and trip speed. This study is helpful for us to understand how to make travel and cities more sustainable through modifying people's trip behaviors or taxi trips.
URI: http://hdl.handle.net/10397/76305
ISSN: 0966-6923
EISSN: 1873-1236
DOI: 10.1016/j.jtrangeo.2017.05.001
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

1
Citations as of May 12, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.