Reprint

Decision Making and Policy Analysis in Transportation Planning

Edited by
September 2024
206 pages
  • ISBN978-3-7258-1980-5 (Hardback)
  • ISBN978-3-7258-1979-9 (PDF)

This is a Reprint of the Special Issue Decision Making and Policy Analysis in Transportation Planning that was published in

Computer Science & Mathematics
Social Sciences, Arts & Humanities
Summary

The ongoing evolution in transportation planning necessitates a multifaceted approach to policy design and decision-making, incorporating technological advancements and changing societal needs. This Special Issue of Systems on "Decision Making and Policy Analysis in Transportation Planning" showcases pioneering research that addresses the critical elements of transportation planning, policy analysis, and system management. Each paper addresses critical aspects of transportation planning and policy analysis, offering new insights and solutions to contemporary transportation challenges. We hope that the insights presented in these papers will inspire further research and inform policy development, ultimately contributing to the creation of more sustainable, efficient, and equitable transportation systems.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
high-speed rail; space–time compression; city innovation; patent; spatial difference-in-differences method; expressway; ramp spacing; multi-criteria estimation method; TOPSIS; entropy; life course; mobility biography; parenthood; mode use; gender gap; car ownership; spatial mobility; new energy vehicles; deep learning algorithm; Prophet; SVM; BP neural network; VAR; sales forecast; sustainable development; electric heavy trucks; acceptance model; battery swapping station; sustainable transportation; microtransit; transportation intervention; social determinants of health; social return on investment; system dynamics; social benefits; robotaxi; travel experience; behavioral intention; Traffic Sensor Location Problem; topological embedding; information theory; Kullback–Leibler divergence; genetic algorithm; physics-guided random walk; shared autonomous electric vehicles; charging behavior; multi-agent-based simulation model; vehicle miles traveled; response time; management policy; pedestrian simulation; contagion-prevention distancing; service efficiency