Where to put taxi ranks
The busiest clusters of hotels, malls and stations, for taxi ranks.
What it does
Every year: hotels, malls, stations and hospitals in your city, with how many of them are within 500 m of each other, the busiest clusters as taxi rank sites, emailed and mapped.
In one sentence: Monthly on the 1st at 08:00, in Athens, find hotels, shopping malls and 2 more in the area, count the hotels, shopping malls and restaurants within 500 m of each, sort them by nearby_count and keep the top 15, then show them on a map and email the list to you.
Why it is useful
Taxi ranks work where demand points cluster. This finds them from the map.
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 city transport department
- A taxi association
- A ride-hailing pickup planner
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 90 minutes each time; it runs about 1 time a month, so it saves about 2 hours a month (an estimate). It is medium: 7 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.
- Taxi demand pointsxMap 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.
- Demand points 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.
- Best 15 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.
- 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
- The xMap Flows browser extension: what is around this business: On a company’s website or a place on a map, one click shows its market and the AI employees to hire for it.
- Build your first flow in ten minutes: From a blank page to a flow that emails you a ranked list every morning.
- What xMap remembers about your company: Your city, industry and what you sell, filled in for you and always yours to change.
- 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.
- Location intelligence: Using where things are, and what is around them, to make business decisions.
- POI data (points of interest): Records of places such as shops, clinics and offices, with their category, position and details.
- Catchment area: The area a store or service draws its customers from.
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.