Using the Learning Launch to Tackle the Traffic Congestion Challenge in Nairobi 

 Challenge 

 Traffic congestion is one of the key challenges affecting the City of Nairobi and many other   cities in the world . In Nairobi , it can be said to be brought about by ; underinvestment in road   extensive road networks , poor condition of existing roads , insufficient capital investment in   public transport , suboptimal terminus locations , and reckless / insubordinate drivers . These   problems , among others create a traffic congestion problem in the major roads within the city   leading to the loss of valuable human resource hours . 

 Selection 

 The Learning Launch is a tool that allows us to try out a proposed solution on a small scale   so as to gather valuable intel from the actual market on the probability of the solution being   successful . The method helps us to see how our “ good ideas ” perform outside of ourselves   and can provide invaluable data to help us decide whether to continue or pivot . This tool   would be the most ideal for this situation because of the complexity of the problem , the   number of variables involved and the high capital investment that would be required to fully   implement such an idea . 

 Application 

 The nature of this project means that a great deal of stakeholders were involved in the   operationalization of the launching curve which was referred to as the pilot . Although pilot   studies are traditionally different from learning launches in that a lot more information is   collected , assessed and scenario building done , this pilot was akin to a learning launch in that   it was politically motivated and therefore skipped many of the steps that would be deemed   necessary before implementing a pilot . The launch saw the end of trip termini in the city   central business district ( CBD)moved to beyond the central business district boundaries . 

 Approach 

 Unfortunately , the Learning Launch in this case did not have a formal feedback chain and   relied on social media and mass media review of the initiative . The reception for the   innovation was extremely poor with people highly dissatisfied with the fact that they had to   walk longer than before . Additionally , despite the ban of the public means of transport within   the CBD , the traffic jam within the CBD did not reduce , if anything , it seemed to increase .   This showed that the problem of traffic congestion could not be solved by simply focusing on   termini within the CBD . While I did not directly participate in this Learning Launch , I did   follow it very keenly because as a graduate Urban planner , city transportation is one of my   areas of interest . It is from this that I would suggest the use of the visualization tool . This   allows the city to effectively define the problem and engage with people to understand the   holes that led to traffic congestion can not be simple solved by restricting the access of public   vehicles into the city . Using journey mapping , we are able to uncover the opportunities in   traffic congestion easing for the public transport companies as well instead of treating them   like the menace . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Using the Learning Launch to Tackle the Traffic Congestion Challenge in Nairobi 

 Challenge 

 Traffic congestion is one of the key challenges affecting the City of Nairobi and many other   cities in the world . In Nairobi , it can be said to be brought about by ; underinvestment in road   extensive road networks , poor condition of existing roads , insufficient capital investment in   public transport , suboptimal terminus locations , and reckless / insubordinate drivers . These   problems , among others create a traffic congestion problem in the major roads within the city   leading to the loss of valuable human resource hours . 

 Selection 

 The Learning Launch is a tool that allows us to try out a proposed solution on a small scale   so as to gather valuable intel from the actual market on the probability of the solution being   successful . The method helps us to see how our “ good ideas ” perform outside of ourselves   and can provide invaluable data to help us decide whether to continue or pivot . This tool   would be the most ideal for this situation because of the complexity of the problem , the   number of variables involved and the high capital investment that would be required to fully   implement such an idea . 

 Application 

 The nature of this project means that a great deal of stakeholders were involved in the   operationalization of the launching curve which was referred to as the pilot . Although pilot   studies are traditionally different from learning launches in that a lot more information is   collected , assessed and scenario building done , this pilot was akin to a learning launch in that   it was politically motivated and therefore skipped many of the steps that would be deemed   necessary before implementing a pilot . The launch saw the end of trip termini in the city   central business district ( CBD)moved to beyond the central business district boundaries . 

 Approach 

 Unfortunately , the Learning Launch in this case did not have a formal feedback chain and   relied on social media and mass media review of the initiative . The reception for the   innovation was extremely poor with people highly dissatisfied with the fact that they had to   walk longer than before . Additionally , despite the ban of the public means of transport within   the CBD , the traffic jam within the CBD did not reduce , if anything , it seemed to increase .   This showed that the problem of traffic congestion could not be solved by simply focusing on   termini within the CBD . While I did not directly participate in this Learning Launch , I did   follow it very keenly because as a graduate Urban planner , city transportation is one of my   areas of interest . It is from this that I would suggest the use of the visualization tool . This   allows the city to effectively define the problem and engage with people to understand the   holes that led to traffic congestion can not be simple solved by restricting the access of public   vehicles into the city . Using journey mapping , we are able to uncover the opportunities in   traffic congestion easing for the public transport companies as well instead of treating them   like the menace .
### Output: 