Design and optimisation of multimodal traffic strategy for low‐mobility individuals. Issue 10 (1st October 2020)

• Record Type: Journal Article
• Authors: Zhang, Tao; Yang, Yang; Cheng, Gang; Jin, Minjie; Ren, Gang
• Is Part Of: IET intelligent transport systems. Volume 14:Issue 10(2020)
• Page Start: 1240
• Page End: 1248
• Publication Date: 2020-10-01
• Subjects: road traffic -- optimisation -- automobiles -- public transport; low‐mobility individuals -- feasible multimodal traffic strategies -- optimisation model -- private car -- strategy implementation costs -- multimodal traffic travel -- nonvehicle‐based transportation -- public transport -- heuristic algorithm -- traffic organisation field -- strategic orientation; Intelligent transportation systems -- Periodicals; Electronics in transportation -- Periodicals; 388.31205
• DOI: 10.1049/iet-its.2020.0024
• Languages: English
• ISSNs: 1751-956X

Abstract

Abstract : Recently, low‐mobility individuals have drawn growing attention in the traffic organisation field. Therefore, following the previous research efforts, this study tries to design and optimise a multimodal traffic strategy for low‐mobility individuals. First, the preliminary application conditions and implementation effects of different traffic strategies are analysed to determine feasible multimodal traffic strategies for low‐mobility individuals based on the optimisation goal and strategic orientation. Then, an optimisation model is proposed to select the optimal strategies from feasible strategies for different travel modes, aiming to minimise the weighted sum of public transport, walking, non‐vehicle‐based transportation, travelling by private car and strategy implementation costs. An appropriate heuristic algorithm is developed to solve the optimisation model. Finally, the case study of Wenling is presented to verify the feasibility and practicality of the proposed multimodal traffic strategy design and optimisation for low‐mobility individuals. The results show that the proposed multimodal traffic strategy has stronger positive than negative effects from the travel cost aspect. The findings presented in this work can provide a reference for other, more in‐depth, studies on the multimodal traffic travel of low‐mobility individuals in the future.