A multi-objective optimization approach to balancing economic efficiency and equity in accessibility to multi-use paths

Chih-Hao Wang () and Na Chen ()
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Chih-Hao Wang: California State University, Fresno
Na Chen: University of Cincinnati

Transportation, 2021, vol. 48, issue 4, No 16, 1967-1986

Abstract: Abstract Improving public health through active transpiration investments has increasingly become a new research focus in transportation planning. This study is to propose a multi-objective optimization modeling framework, through an optimal allocation of active transportation investments, to maximize the total accessibility while minimizing the total differences in accessibility over a city. Accessibility to multi-use paths is calculated for Fresno, California that measures the total length of multi-use paths a resident could reach with a 30-min cycling ride. Then, a geographically weighted regression (GWR) model is used to capture the local relationships between accessibility outcome and previous transportation investments. The marginal-effect analysis for the GWR results indicates economically efficient, inefficient, and indifferent locations for further investments. This study is one of the few to incorporate such a GWR model into a multi-objective optimization modeling framework to improve accessibility to multi-use paths and address inequality issues in transportation. Solving the multi-objective optimization model provides decision-makers a new insight into the making of an economically efficient and socially equal active transportation plan to improve public health.

Keywords: Accessibility; Multi-use path; Transportation planning; Geographically weighted regression; Optimization (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11116-020-10117-9

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