Credit Charge-Cum-Reward Scheme for Green Mobility
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| Vydáno v: | PQDT - Global (2025) |
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ProQuest Dissertations & Theses
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| 100 | 1 | |a Ding, Hongxing | |
| 245 | 1 | |a Credit Charge-Cum-Reward Scheme for Green Mobility | |
| 260 | |b ProQuest Dissertations & Theses |c 2025 | ||
| 513 | |a Dissertation/Thesis | ||
| 520 | 3 | |a Amid growing concerns over urban congestion, air pollution, and the imperative for sustainable transportation, credit-based mobility management has emerged as a promising approach to incentivize environmentally responsible travel behavior. This thesis introduces and investigates a credit charge-cum-reward (CCR) scheme designed to promote green mobility by influencing travelers’ behavior on a periodic basis. Under the CCR framework, the government sets mode-specific charging and rewarding rates, as well as differentiated credit charging and redemption prices, to regulate travelers’ mode choices over a period. Travelers aim to minimize their periodic travel costs, which include time, monetary, and end-of-period credit costs, by choosing between driving (which consumes credits) and transit (which earns credits).This thesis focuses on analyzing periodic travel behavior in the CCR-scheme-based mobility system, employing both equilibrium and dynamic analyses.First, it proposes the concept of periodic mode usage equilibrium, where each traveler minimizes their periodic travel costs and no one would unilaterally change their periodic mode usage pattern. The equilibrium analysis models heterogeneous travelers’ decision behavior as a linear optimization problem. Analytical results reveal that the driving frequency of mixed-mode travelers in the CCR-scheme-based mobility is solely determined by the credit rates, regardless of their values of time or the credit prices. From the government’s perspective, the thesis examines the implementation of a CCR scheme with and without revenue constraints, and evaluates the conditions for Pareto improvement and revenue neutrality. Theoretical and numerical results show that the CCR scheme can flexibly manage traffic demand.Building on the equilibrium analysis, the thesis then explores whether and how the periodic mode usage equilibrium can be achieved. A dynamic system is developed by incorporating travelers’ intra- and inter-period learning behaviors. Two adaptation rules— myopic and forward-looking—are proposed to capture how travelers update their daily decisions within each period. Optimal strategies and convergence conditions are derived for both adaptation rules, showing that both lead to the periodic mode usage equilibrium under mild conditions. Numerical experiments compare the behavioral and system-level distinctions between these two adaptation rules.Finally, to account for uncertainty in travelers’ daily decisions under the CCR scheme, the thesis models intra-period sequential decision-making as a Markov decision process and frames traveler interactions as a sequential congestion game. A general concept, called periodic user equilibrium, is further introduced, where travelers choose their optimal periodic policy based on the periodic traffic flow, which is exactly their resulting action distribution. A period-to-period dynamic model with policy adaptation and cost learning is proposed to analyze system evolution. Results indicate that uncertainty induces daily traffic flow fluctuations even when the system achieves a periodic user equilibrium.Overall, this thesis provides a comprehensive analytical framework for understanding and managing periodic travel behavior in the credit-based mobility system. It contributes to the literature on traffic assignment by formalizing period-based user equilibrium concepts and advances dynamic studies by exploring how travelers learn and adapt under periodic mobility management policies. | |
| 653 | |a Behavior | ||
| 653 | |a Risk aversion | ||
| 653 | |a Investigations | ||
| 653 | |a Carbon | ||
| 653 | |a Adjustment | ||
| 653 | |a Decision making | ||
| 653 | |a Cost reduction | ||
| 653 | |a Neutrality | ||
| 653 | |a Adaptation | ||
| 653 | |a Traffic flow | ||
| 653 | |a Automobile driving | ||
| 653 | |a Traffic assignment | ||
| 653 | |a Prices | ||
| 653 | |a Travel & entertainment expenses | ||
| 653 | |a Traffic congestion | ||
| 653 | |a Games | ||
| 653 | |a Sustainability | ||
| 773 | 0 | |t PQDT - Global |g (2025) | |
| 786 | 0 | |d ProQuest |t ProQuest Dissertations & Theses Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3261893254/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3261893254/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u https://doi.org/10.14711/thesis-hdl152312 |