Open wang-123-xi opened 2 weeks ago
Week Span: 09/22 to 09/29 Tasks for This Week Task 1:Create the Data Matrix Task 2:Factors of the human walking experience were sought.
Task 1:Objective: Create an Excel/Sheets matrix that lists states on the rows and parameters on the columns. Task 2:Factors that affect people walking are: air quality, Sunshades, Urban Greening , Security Situation.
Challenges & Solutions: It is pretty difficult to get data for entire states at a time.Different states have their own data management model, some states have very well open data like sanjose.
Overall takeaways, skills and knowledge gained Learned that there are those factors that affect how a person walks.
Team Meetings In-class meeting
Personal Reflection. I don't currently know how to display all of the above factors in our web pages, or how to go about showing the user that that area is a good walking experience
Overview Week Span: 09/29 to 10/05
Tasks for This Week
Task 1:user interface (UI) design
Task 1:I started by learning the use of figma and simply conceptualizing what we want to show on our web page, what are the features, how to show for example that this area is good for walking and give for example safety scores, noise values, greening values, air values, business values, safety factors, road conditions.
General Takeaway, Skills & Knowledge Acquired Learned how to use of figma
Team Meetings Met up with the team in person on Monday .
Personal Reflection: The design and functionality of the web page is relevant and I need to read more case study.
Overview Week Span: 09/08 to 09/15
Tasks for This Week
Task 1: Read Articles on Subjective Walkability
Task 1: Understanding the walkability of an environment is important for urban planning, public health initiatives, and promoting active transportation. Why Walkability is Essential in Urban Planning Promotes Public Health: Encourages physical activity like walking and cycling, which helps reduce risks of obesity, cardiovascular diseases, and diabetes.
Fosters healthier lifestyles, improving overall well-being by enabling safe, accessible environments for exercise
Reduces traffic congestion, carbon emissions, and promotes sustainable living.
Challenges & Solutions: There are many benefits to walking, but it feels difficult to judge whether the place is walkable or not or how to go about achieving a relatively informative rating when everyone's criteria for judging are inconsistent.
General Takeaway, Skills & Knowledge Acquired Discover the various factors that affect walking, the benefits it brings, for people, cities, and the planet.
Team Meetings No team meeting held
Personal Reflection: I've found a lot of helpful articles and studies that go into great detail about the benefits that come with walking and the factors that may affect it..
Overview Week Span: 09/1 to 09/08
Tasks for This Week
Task 1: Read articles that Josh sent and Look it up on Google Scholar Task 2: Look over existing parameters
Task 1: Josh sent articles and Look it up on Google Scholar. Using the information in these articles, I looked up more relevant research. I saw the impact of walking on people and cities.
Task 2: I reviewed the existing PEI and the code used to calculate the PEI. I found it made no mention of sound, security
Challenges & Solutions: It's a little difficult to read the old code and the data used, but with a little research and time to verify that the code works.
General Takeaway, Skills & Knowledge Acquired: Code
Team Meetings: Virtual meeting with Yichao and other classmates. We discussed possible Google Maps API implementation.
Personal Reflection: I claimed the job of reading paper and doing literature summaries.
Overview Week Span: 08/26 to 09/1
Tasks for This Week
Task 1: Decide which side of the team I should work on
Task 1: I think I have good perception skills, so I chose the theme of QUALITY OF LIFE to care more and enhance the environment of human life and the state of human spirit.
Challenges and Solutions: I didn't know much about Mobility-PEI at first, I didn't know what it was, and then I read the articles in the TEAMS.
Overall Takeaways, Skills and Knowledge Gained: Understand what is mobility-PEI,influencing factors
Team Meetings: Reliable/more sources of data, and what parameters best reflect mental health issues.
Personal Reflection: I did not contribute much to the team as a whole this week, but I will continue to do so once the project begins.
Overview Week Span: 09/15 to 09/22
Tasks for This Week
Task 1: Access to data on cities Task 2: jupter's test on how to use OSM data for city index calculation
Task 1: In conjunction with last week's research, I was thinking about where I could go to get data about the city, such as which area is commercial, and I found that openstreet maps can be used to get land use ,the layout of the city, the road system, the greenery, the elevation points, and so on.
Task 2: Overview of OpenStreetMap (OSM) for Urban Analysis: OSM provides rich geospatial data, including street networks, land use, and commercial activity, for cities across the globe. Python’s osmnx library facilitates the extraction and manipulation of this data for customized analyses. How Data Is Extracted Using OSMnx: Street Network: Extracted for calculating IDI. Points of Interest (POIs): Commercial locations are retrieved using the geometries_from_place method for CDI.
Challenges & Solutions: Is it possible to get osm data online directly from the web without having to download the geojson file?
General Takeaway, Skills & Knowledge Acquired Learning to use jupter.
Team Meetings No team meeting held
Personal Reflection: I found out that openstreet map can download maps of the entire US and contains a lot of information, but there is no way to download data for individual cities.