Methodology

To effectively engage with the citizens in Pittsburgh, I'm suggesting this research project should be a mix of online and offline strategies to talk with professionals in person and engage with citizens to understand their concerns. However, the research should based on large enough data sample to be able to process the representative analysis and visualization. In this manner, online public participatory data gathering strategies are important as well. 

The online citizen participatory data could be gather through open platform like Twitter or Instagram, collecting all autonomous vehicle related Tweets or posts, such as filtering Tweets has key words or # including autonomousvehicles, autonomouscar, selfdriving, driveless,etc., which are geographically located within Pittsburgh Metro Area. After collecting the data, we would check the data and start secondary filtering process to get the suggestive or other quantitative/qualitative data instead of just having Tweets or posts just "Awesome, good" these less informative data. Lastly, with the filtered data set, we could perform their location analysis, such as where they Tweeted, or the purpose of their trips. For instance, if there are many data suggesting large autonomous vehicle related Tweets are grocery or food related, we could assume the potential driveless future physical environment improvement in market district or commercial businesses district, such as drop-off space.

Other online participatory data collection could be more direct, it could be one topic Tweet which request for feedback on general public's view of potential urban physical and political environment changes in Pittsburgh Metro Area, or people who travel to the city. It would create more direct response on how they perceive the driveless future.

Additionally, municipalities could open feedback portal for citizens to get feedback on their perception on driveless future and how autonomous vehicle should be regulated. 

Or autonomous vehicle service company could also help perform the data collection, such as encouraging users to take the survey when they are using the autonomous vehicle services, so we could get information such as user experience and demands.

With a summary of data from all different/single source, we could perform keywords connection, so we can have a better sense how location or activity relationship with the use of autonomous vehicle. In this manner, we can have a better understanding what are the main concerns when people see or use autonomous vehicles.