Liu, Yunzhe 
ORCID: 0000-0002-7189-3323 and Cheng, Tao
(2020)
Understanding public transit patterns with open geodemographics to facilitate public transport planning.
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 16 (1).
pp. 76-103.
|
Text
23249935.2018.pdf - Published version Download (6MB) | Preview |
Abstract
Plentiful studies have discussed the potential applications of contactless smart card from understanding interchange patterns to transit network analysis and user classifications. However, the incomplete and anonymous nature of the smart card data inherently limit the interpretations and understanding of the findings, which further limit planning implementations. Geodemographics, as ‘an analysis of people by where they live’, can be utilised as a promising supplement to provide contextual information to transport planning. This paper develops a methodological framework that conjointly integrates personalised smart card data with open geodemographics so as to pursue a better understanding of the traveller’s behaviours. It adopts a text mining technology, latent Dirichlet allocation modelling, to extract the transit patterns from the personalised smart card data and then use the open geodemographics derived from census data to enhance the interpretation of the patterns. Moreover, it presents night tube as an example to illustrate its potential usefulness in public transport planning.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Personalised smart card data, transport planning, latent Dirichlet allocation modelling, travel pattern analysis, geodemographics |
| Divisions: | Faculty of Science and Engineering > School of Environmental Sciences |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 17 Aug 2021 07:22 |
| Last Modified: | 18 Jan 2023 21:33 |
| DOI: | 10.1080/23249935.2018.1493549 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3133766 |
Dimensions
Dimensions
