摘要: |
This project proposes a smart permitting system to address those pressing issues related to permitting. First, the permitting system consists of a social-costs-based pricing system to internalize the externalities attributed to a specific right-of-way permit. A network mobility model is adopted to quantify the impact of a permit on specific roads, times of day, and days of week. The research team will further develop a geographic information system (GIS)-based web application to visualize the impacts and query the fee of a right-of-way permit in real-time. Second, the team will develop a data-driven permit supervision system that supervises and enforces the right-of-way permits through multi-source datasets, including traffic speeds, traffic volumes, and social media data. The team will also develop a web application to visualize the information they obtained from the real-time data, alert locations that are likely to violate permits, and recommend routes and locations to inspectors for visual inspection and enforcement. In this project,the team will develop a prototype of the smart permitting system, validate the system together with the DOMI team, and pilot the system in a small area in the city and Cranberry Township. |