| Convenience | High – Users can reserve spots remotely at any time | Low – Users must physically be present to get a ticket |
| Booking Speed | Instantaneous, typically within seconds | Slow, depending on queue length and manual processing |
| User Interface | Intuitive and graphical interfaces | Minimal interaction, relies on physical tickets |
| Accessibility | Requires a smartphone and internet access | No technology required |
| Availability of Information | Real-time data on space availability and pricing | Limited to what is displayed at the lot |
| Payment Methods | Multiple digital payment options (credit card, PayPal, etc.) | Cash, sometimes credit/debit cards |
| Cost Efficiency | Can offer dynamic pricing and discounts | Fixed pricing, rarely offers dynamic adjustments |
| User Data Collection | Extensive data on user preferences and habits | Minimal data collection, mostly anonymous |
| Personalization | High – Can offer personalized recommendations and reminders | Low – Generic service for all users |
| Environmental Impact | Lower – Reduces the need for physical infrastructure | Higher – Requires physical infrastructure and materials |
| Customer Support | Integrated customer support within the app | On-site support only |
| Security | High – Encrypted transactions and data protection | Low – Risk of lost/stolen physical tickets |
| Fraud Prevention | Better fraud detection and prevention capabilities | Higher risk of ticket fraud |
| Queue Management | Eliminates the need for physical queues | Queues can be long during peak times |
| Scalability | Easily scalable to handle more users | Limited by physical infrastructure |
| User Engagement | High – Can include loyalty programs and notifications | Low – Limited to ticketing interactions |
| Error Rates | Low – Automated processes reduce human error | Higher – Manual processes prone to errors |
| Maintenance Costs | Low – Mostly software updates | High – Physical machines need regular maintenance |
| Operational Hours | 24/7 availability | Limited to operating hours of the facility |
| Feedback Collection | Easy to collect and analyze user feedback digitally | Difficult to gather and process physical feedback |
| Integration with Other Systems | High – Can integrate with navigation apps and smart city infrastructure | Low – Standalone systems |
| Learning Curve | Moderate – Requires learning to use the app | Low – Simple, intuitive physical process |
| Redundancy | High – Backup systems and cloud storage | Low – Dependent on physical ticketing machines |
| Update Frequency | High – Can be updated frequently with new features | Low – Physical upgrades are infrequent and costly |
| Traffic Flow Management | Improved – Real-time updates help manage inflow/outflow | Less effective – Manual management of traffic flow |
| Carbon Footprint | Lower – Digital processes have a smaller carbon footprint | Higher – Physical tickets and machines contribute to carbon footprint |
| User Satisfaction | Higher – Convenience and efficiency improve user satisfaction | Variable – Dependent on queue length and ticketing efficiency |
| Accessibility for Disabled Users | High – Can offer features like voice commands and large text | Variable – Depends on physical infrastructure |
| Integration with Public Transport | High – Can coordinate with public transport schedules | Low – No integration with public transport systems |
| Emergency Handling | Better – Can provide real-time alerts and guidance | Less effective – Manual alerts and guidance |
| Visitor Management | Enhanced – Easier to manage and track visitor parking | Limited – Manual processes for visitor management |
| Revenue Management | Optimized – Data-driven insights for better revenue management | Limited – Based on fixed pricing and manual data |
| User Demographics | Younger, tech-savvy users | Older, less tech-savvy users |
| Integration with Events | High – Can handle event-based dynamic pricing and reservations | Low – Manual ticketing for events |
| Parking Space Utilization | Higher – Better allocation and utilization of spaces | Lower – Inefficient allocation of spaces |
| Customer Loyalty Programs | Easy to implement and track digitally | Difficult to manage and track manually |
| Dispute Resolution | Streamlined – Digital records for easy dispute resolution | Complicated – Requires manual verification |
| Legal Compliance | Easier to update for compliance with new regulations | Harder to update and ensure compliance |
| Feedback Loop | Fast – Immediate feedback can be acted upon quickly | Slow – Manual feedback collection and processing |
| Promotions and Offers | Dynamic – Can offer targeted promotions and discounts | Static – Limited promotional capabilities |
| Reliability | High – Fewer points of failure | Variable – Mechanical and human errors possible |
| Data Analytics | Advanced – Can use big data analytics for insights | Basic – Limited data collection and analysis |
| User Education | Requires ongoing user education and updates | Minimal education required |
| Environmental Awareness | High – Can promote eco-friendly practices digitally | Low – Limited promotion of eco-friendly practices |
| Adaptability | High – Can quickly adapt to new technologies and user needs | Low – Slow to adapt due to physical constraints |
