Using data analytics for smart loading zones management in cities
| Reference number | |
| Coordinator | Chalmers Tekniska Högskola AB - Dept of Technology Management and Economics |
| Funding from Vinnova | SEK 500 000 |
| Project duration | November 2019 - December 2020 |
| Status | Completed |
| Venture | Transport Efficiency |
| End-of-project report | 2019-03093svenska.pdf(pdf, 593 kB) (In Swedish) |
Important results from the project
This project investigated the potential of app-based systems to enhance the design & management of LZ. The project analyzed design factors for smart LZ design (strategic, tactical and operational perspectives). The necessary ICT tools and data collection to make this possible included sensors, app-based systems that record vehicle information and parking duration, spatial and business data captured using GIS. Data can only be utilized if analytical methods are developed to produce insights and insights are used by stakeholders (authorities, wardens, operators).
Expected long term effects
Smart LZ are instrumental to design data-driven urban plans and promote efficient use of scarce urban space. This research sheds light on how to define, implement and make the most of information generated by smart LZ. Strategic, tactical and operational components of Smart LZ are defined and practical implications for public and private actors are delineated based on interviews, data analytics and modeling. This research provides input for a successful and efficient implementation of smart LZ. The results show that applications of smart LZ differ across cities and their priorities.
Approach and implementation
The analysis used parking data collected through a tech-based company that uses Internet of Things to control parking conditions in LZ, particularly in Vic (Spain). Artificial intelligence models, data analytics and transportation modeling were used to tackle traditional urban freight challenges, i.e., vehicle routing, parking time limits, enforcement, infrastructure planning and management. Workshops and interviews with public and private actors provided experiences from different cities.