# Enhanced Scalability and Security in Blockchain-Based Transportation Systems for Mass Gatherings
## 5 Discussion
### Practitioner Implications
\begin{table}
\begin{tabular}{p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt}} \hline \hline
**Conflict/Issue** & **Description** & **Current Solution** & **Proposed Modifications/Additions** & **Practical Solutions** & **References** \\ \hline \multirow{8}{*}{7. Trust and User Adoption} & \multirow{8}{*}{End-users may hesitate to adopt} & \multirow{8}{*}{User education and training programs of understanding of how the technology works.} & - Provide public-private partnerships to reduce costs for smaller regions. & - Offer educational workshops and intuitive user interfaces. & \multirow{8}{*}{[54]} \\  & & & - Provide public-private partnerships to reduce costs for smaller regions. & & - Use phased adoption to introduce blockchain gradually. & \\ \hline \multirow{8}{*}{8. Governance and Decentralization} & \multirow{8}{*}{Centralized control in permissioned blockchains increases the risk of collusion and manipulation.} & \multirow{8}{*}{Centralized governance in watchtowers} & - Introduce multi-stakeholder governance models to distribute authority. & - Implement DAO-based governance for watchtower & \multirow{8}{*}{[55]} \\  & & & - Use decentralized validation networks (watchtowers). & - Use BFT consensus mechanisms to improve blockchain resilience. & - Use BFT consensus mechanisms to improve blockchain resilience. & - Use BFT consensus mechanisms to improve blockchain resilience. & \multirow{8}{*}{[54]} \\ \hline \multirow{8}{*}{9. Resource Allocation Efficiency} & \multirow{8}{*}{Inefficient resource allocation during peak traffic could degrade system performance.} & \multirow{8}{*}{Traditional load-balancing techniques} & - Utilize adaptive resource allocation to prioritize tasks during peak times. & - Use predictive traffic analytics to optimize transaction flow during peak periods. & \multirow{8}{*}{[54]} \\  & & & & Design fallback protocols that switch transactions to on-chain mechanism to maintain continuity. & & \\ \cline{1-1}  & \multirow{4}{*}{Off-chain systems may fail, resulting mechanisms in disruptions to time-sensitive operations.} & \multirow{4}{*}{Fallback is not considered in current solutions performance under fallback conditions.} & - Use predictive algorithms to facilitate analysis to optimize transaction continuity. & \multirow{4}{*}{[20]} \\ \cline{1-1}  & & & & Design fallback protocols that switch transactions to on-chain mechanism to maintain continuity. & & \\ \cline{1-1}  & \multirow{4}{*}{Off-chain systems may fail, resulting in disruptions to current operations.} & \multirow{4}{*}{Fallback is not considered in current solutions performance under fallback conditions.} & - Extend the scalability model to account for fallback scenarios during failures. & - Simulate system account for fallback scenarios during failures. & - Extend the scalability model to account for fallback scenarios during failures. & \multirow{4}{*}{[20]} \\ \hline \hline \end{tabular}
\end{table} 
Table 7: _Cont._mode system. Edge computing eliminates latency issues, AI optimizes traffic load, and smart contracts run off-chain for increased reliability. Although adoption relies on user-friendly interfaces, public training, and government-commercial agreements, it is also dependent on validators for centralized systems. ZKPs, BFT Consensus, Edge Computing, and quantum-resistant cryptography are integrated into the model to formulate a large-scale decentralized blockchain strategy for mass transportation.