4.4 Article

Maximizing space-time accessibility in multi-modal transit networks: an activity-based approach

Journal

TRANSPORTMETRICA A-TRANSPORT SCIENCE
Volume 18, Issue 2, Pages 192-220

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/23249935.2020.1806372

Keywords

Space-time accessibility; activity-based approach; daily activity-travel pattern; bi-level programming model

Funding

  1. National Key Research and Development Program of China [2018YFB1600900]
  2. Social Science Foundation of Jiangsu Province [16GLC008]
  3. National Natural Science Foundation of China [71601045]
  4. Research Grants Council of the Hong Kong Special Administrative Region, China [PolyU 152095/17E]
  5. Research Committee of The Hong Kong Polytechnic University [4-ZZFY]

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This paper investigates the impact of transport operating strategy improvements on space-time accessibility and introduces a novel activity-based space-time accessibility measure. A bi-level programming model is proposed to optimize transit line headways and fares, aiming to maximize the network-wide activity-based space-time accessibility. The application of the proposed model is illustrated using a simplified network in a selected area of Hong Kong.
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.

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