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Title: Maximizing space-time accessibility in multi-modal transit networks : an activity-based approach
Authors: Fu, X
Lam, WHK 
Chen, BY
Liu, Z
Issue Date: 2022
Source: Transportmetrica. A, Transport science, 2022, v. 18, no. 2, p. 192-220
Abstract: Over the past decades, the impact of transport operating strategy improvements on space-time accessibility, which is an important research area for network design problem, has not been explicitly investigated particularly with the use of activity-based approach. In this paper, a novel activity-based space-time accessibility measure is introduced for considering individuals’ accessibility to various activities and travels in a unified super-network framework. A bi-level programming model is proposed for optimizing time-dependent transit line headways and fares in a multi-modal transit network from the activity-based space-time accessibility perspective. In the upper level, transit line headways and fares are optimized by time of day to maximize the network-wide activity-based space-time accessibility. At the lower level, an activity-based network equilibrium model is adapted to provide the resultant activity-travel patterns as reactions to the upper level decision. A simplified network in Hong Kong selected area is used to illustrate the application of the proposed model.
Keywords: Space-time accessibility
Activity-based approach
Daily activity-travel pattern
Bi-level programming model
Publisher: Taylor & Francis
Journal: Transportmetrica. A, Transport science 
ISSN: 2324-9935
EISSN: 2324-9943
DOI: 10.1080/23249935.2020.1806372
Rights: © 2020 Hong Kong Society for Transportation Studies Limited
This is an Accepted Manuscript of an article published by Taylor & Francis in Transportmetrica A: Transport Science on 18 Aug 2020 (published online), available at: http://www.tandfonline.com/10.1080/23249935.2020.1806372.
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