Economics at your fingertips  

Using points-of-interest data to estimate commuting patterns in central Shanghai, China

Mengya Li, Mei-Po Kwan, Fahui Wang and Jun Wang

Journal of Transport Geography, 2018, vol. 72, issue C, 201-210

Abstract: Commuting is an essential part of urban life. Long commutes have negative impacts on individuals and society, such as stress, loss of productivity, traffic congestion and air pollution. However, researchers often face the challenge of lack of data such as commute distance, duration, departure/arrival time, and origins/destinations in countries such as China. This study uses points of interest (POIs) to estimate employment locations, and implements a gravity-based model to estimate interzonal commuting patterns in central Shanghai, China. The results reveal a “busy corridor” in the west of the central city, especially during the morning peak hours. This pattern corresponds well with reported real-time traffic conditions in Shanghai. Our methodology offers a promising alternative for studying commuting patterns when such data are limited.

Keywords: Commuting pattern; Gravity model; POIs data; Central urban area; Shanghai (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Journal of Transport Geography is currently edited by Frank Witlox

More articles in Journal of Transport Geography from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().

Page updated 2019-10-14
Handle: RePEc:eee:jotrge:v:72:y:2018:i:c:p:201-210