Modern charitable donation platforms involve multiple stakeholders, including donors, charity organizations, financial institutions, and regulatory authorities. However, traditional centralized systems often suffer from limited transparency, weak trust management, and insufficient traceability, which significantly undermine public confidence in charitable activities. To address these challenges, this study proposes an intelligent blockchain-enabled framework for transparent multi-stakeholder donation management. The proposed system integrates consortium blockchain infrastructure with smart contract mechanisms to support trustworthy transactions, automated governance, and transparent information sharing across participating entities. The framework adopts a modular architecture that facilitates role separation, traceable transaction management, and scalable system evolution. In addition, the system enables transparent supervision and evaluation processes, allowing donors, recipients, and regulatory bodies to participate in collaborative monitoring of charitable activities. A prototype implementation based on the FISCO BCOS consortium blockchain platform is developed to evaluate the feasibility and performance of the proposed framework. Experimental results demonstrate that the system effectively enhances traceability, operational transparency, and trust among participants while maintaining acceptable performance in terms of throughput and latency. The proposed framework provides a practical reference architecture for developing intelligent and trustworthy multi-party platforms and contributes new insights into the design of decentralized expert systems for social good applications.
Adoption of peer-to-peer (P2P) trading is very challenging, mainly due to numerous issues and limitations such as lack of trust in the concept and awareness of the technical, economic and social benefits. This paper aims to understand how blockchain technology can address the current issues/limitations of P2P distributed solar energy (DSE) trading. A series of semi-structured interviews were conducted with 23 community energy stakeholders to confirm and expand the stakeholder issues identified in the literature review. A case representing community energy projects was selected to (1) develop and implement a blockchain system and (2) evaluate its ability to eliminate (or reduce) stakeholder issues and meet stakeholder expectations. A blockchain-enabled P2P trading platform was developed using an Ethereum backend. The system clearly demonstrated its ability to deliver full or partial solutions to 12 stakeholder issues. Two stakeholder issues are unable to be addressed via the blockchain platform since they uncovered the weaknesses of blockchain technology. The P2P trading platform has also demonstrated its ability to facilitate decentralized trading and data management. The outcome of this study indicates the areas of P2P trading projects that can be improved by the application of blockchain technology.
Accurate carbon footprint accounting is fundamental for urban environmental governance. However, multi-stakeholder transit networks struggle with data manipulation, privacy risks, and labor-intensive manual auditing. To resolve these trust and scalability bottlenecks, this paper introduces a tri-layer hybrid blockchain framework based on an “off-chain storage, on-chain evidence” paradigm. The architecture synergizes a relational database (MySQL) for high-throughput structured data, the InterPlanetary File System (IPFS) for decentralized raw evidence, and Hyperledger Fabric to immutably anchor dual-layer cryptographic hashes. We engineer a smart contract auditing pipeline that autonomously executes deterministic verification of hash consistency, emission thresholds, and physical logic integrity. Empirical evaluations utilizing a large-scale urban transit dataset injected with adversarial mutations demonstrate high robustness, achieving F1-scores of 1.000 across multidimensional anomalies. This replaces manual testing with statistically significant verification. Ultimately, this framework provides environmental regulators and transit authorities with a highly scalable, privacy-preserving, and trust-minimized infrastructure for continuous carbon footprint traceability.