Blocks with many people and few bus stops
Blocks with many people and few bus stops, for the network plan.
What it does
Every year: the blocks of your city with the most residents and the fewest bus stops within 500 m, the 20 least served first, for the network plan, emailed and mapped.
In one sentence: Monthly on the 1st at 08:00, in Lima, count who lives around, sort them by population and keep the top 100, count the bus stops and bus stations within 500 m of each, sort them by nearby_count and keep the top 20, write a report with xMap AI, then show them on a map and email the list to you.
Why it is useful
Bus networks drift from where people live. This shows the most populated blocks left without a stop.
Who it is for
Public transport & transit. Transit agencies, bus and rail operators and mobility planners placing stops, running services around disruptions and reaching riders. Every use case for public transport
Best use cases
- A transit agency
- A city transport department
- A bus operator
What each run gives you
- A map
- An email
The time it saves
Monthly on the 1st at 08:00. Doing the same work by hand takes about 240 minutes each time; it runs about 1 time a month, so it saves about 4 hours a month (an estimate). It is medium: 9 blocks.
The flow, block by block
- On the 1st of every monthTrigger · ScheduleStarts the flow on a timetable.
- My cityWhere · Area of interestSets where the flow looks: countries, cities or specific places, or areas you draw on a map.
- People in every block of the cityxMap data · DemographicsWho lives in an area: the number of residents, men and women, and nine age groups, from xMap’s population grid (hexagons of about 0.1 km², about 100 countries).
- Best 100 firstLogic · Sort and limitPuts the items in order, and can keep only the first ones: the 10 best rated, the 20 nearest, the highest fit scores.
- Bus stops within 500 mxMap data · Nearby placesPlaces around a point from xMap’s own places database (300M+ places, refreshed every month): pick the types of place (more than 5,000, such as Restaurant, Cafe, Pharmacy, Hospital or Gas station, or a whole group of them) and how far to look.
- The fewest nearby firstLogic · Sort and limitPuts the items in order, and can keep only the first ones: the 10 best rated, the 20 nearest, the highest fit scores.
- Write the network notexMap AI · xMap LLMTell the AI what to do in plain words.
- Show them on a mapAction · Show on a mapShows the results as points on a map, with the area of interest.
- Email me the listAction · EmailSends one email per run with all the items, or one email per item.
Every block can be changed after you use the template: the city, the type of place, the score, where the results go.
Use it now
Answer a few questions, enter your work email, and it runs in your own account, kept running until you pause it. Use this template.
How to set it up
- Build your first flow in ten minutes: From a blank page to a flow that emails you a ranked list every morning.
- Ask the map a question: How many of a kind of place, how many people for each, and where the gaps are, answered on the spot.
- Count what is around each of your places: Competitors, footfall magnets or services within a distance of each site.
- Compare sites side by side: Two or three spots measured the same way, one column each, the best of every row marked and the best site and why.
- Location intelligence: Using where things are, and what is around them, to make business decisions.
- Site selection: Choosing where to open a store, branch, clinic or facility.
- How to score candidate store sites: Compare sites on residents, competitors and neighbours, with an AI score and a reason.
More for Public transport & transit
- On-demand minibus zones for older residents: Zones for an on-demand minibus where older people lack stops.
- Where new cycle lanes would be used most: Blocks ranked for new cycle lanes by young adults and cycling signs.
- Schools with many children and few bus stops: Schools with many children and few stops, for school bus routes.
- Park and ride sites at the edge of the city: Stations scored as park and ride sites.
- Malls far from stations, for shuttle partnerships: Malls far from stations, offered a shared shuttle.
- Bus stops that need shade shelters first: Bus stops ranked for shade shelters by people and heat.