New apartment buildings and malls that need a bus
New buildings and malls with no bus nearby, for route planning.
What it does
Every quarter: apartment complexes and malls that opened in your city in the last two years, with the bus stops within 500 m, the ones with the fewest first, for route planning.
In one sentence: Monthly on the 1st at 08:00, in Sydney, find apartment complexes and shopping malls in the area, count the bus stops within 500 m of each, sort them by nearby_count and keep the top 20, count who lives around, write a report with xMap AI, then email the list to you.
Why it is useful
New developments fill before the buses arrive. Planners see them early.
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 planning department
- A developer negotiating a bus stop
What each run gives you
- An email
The time it saves
Monthly on the 1st at 08:00. Doing the same work by hand takes about 120 minutes each time, so it saves about 8 hours a month (an estimate). It is medium: 8 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.
- New developmentsxMap 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.
- 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.
- Who lives aroundxMap 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).
- Write the route notexMap AI · xMap LLMTell the AI what to do in plain words.
- 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.
- Blocks with many people and few bus stops: Blocks with many people and few bus stops, for the network plan.
- 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.