PathBy BP 1.0
This file is the brainstorming draft of PathBy project.
the idea start from a previours project Portal
Business Plan Draft 1.0
In short: trafic path based facility recommendation system
imagine a world that you don’t need to travel away to a crowded restaurant, but the dilicious will suddenly appear around you. new events!! new restaurants!! new friends!! new opportunities!! new life!!
It’s a new Yelp, not recommend you to visit a place, but bring the diliciours around you.
it’s like a new Uber, not for taxi, but for facilities.
Problem
even if people live in city for years, travel through the city for 2 hours per day, they will only know about 3 groups of facilities:
1. facilities around their home
2. facilities around their work place
3. facilities recommended by Ins and Yelp.
we can see that these three group pointer to 3 different kinds of urban functions: residential, work,and commercial. Usually, if someone want to go hangout with friends, he/she will go to the facilities around his/her home, or the facilities recommended by Ins and Yelp. the first one is limitated area, and the second one will cause huge traffic load.
The way people use facilities and the spatial correlation is weak, resulting in a lot of extra traffic demand and facility load on the basis of necessary traffic.
Maybe its a very Megacity problem? some more Asin area studies will help.
Solution
product 1: metro advertisement system
at the first stage, due to lake of personal data, we will focus on the metro advertisement system: with metro system and POI around metro stations, we can build the system, and will recommend facilities to people based on their OD trafic path.
product 2: personal facility recommendation application
as more and more people use our product, we will have more and more personal data, and we can build a personal facility recommendation application based on individual interest and daily path: recommend your future dinner plan!
based algorithm
recommend facilities to people based on OD trafic path
objective function:
Local index (need research support): extra distance consumption is the shortest; The highest recommended cumulative index
Overall indicator: Highest utilization rate of facilities, lowest traffic load.
Company purpose
Based on people’s trafic partten in Megacities, recommend facilities to them.
to customer:
With this product, we will help people to save time and energy on finding facilities, and help facilities to get more customers.
to city:
- A soft way of facility assolotation - for RealEstate economy;
- reduce the traffic load caused by - people’s extra trafic demand for far away facilities;
to commercial facilities: a new way of advertisement! more chance and more space for your new opportunities!
Market Size
(based on the research on ‘Problem’ part , show the portential martket and its influence)
Competition
Google map(Gaode Map)
Yelp(Meituan)
Business Model
…
Team
Yifeng
MIT DUSP MCP student 25’
2023, Gratudted from Tsinghua University, School of Architecture.
Urban informatics researcher. Research interest on facility management and Currently work on a project about the local optimization of facaility allocation problem. with wild experience about the inforstructure distribution analysis.
Ceci
Harvard GSD Mdes-public 25’
[education bg]
[short bio]
I’m looking for:
engineer:
- who have strong skillset in transporation system analysis, and optimization. I can do that but im good engough to do that alone.
- have skill set in spatial database or distributed computing
- ML skillset of course, especially DL and large scale
CFO: no reason.
some questions/todo I have now:
-
which city should I start with in demo?
-
should I builid this project with academic research (show its social impact and more science based optimization algoroithm development) or just a startup (demo or die)?
-
Singepore is too small for our project? where should be the market research base?
- market research
- prototype and test with users
- business model
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