It Is Imperative To Investigate "Population" And "Purchasing Power".

When choosing a site, enterprises should take priority location as a priority in the residential areas with young people and middle-aged customers, with a higher social economic status and more disposable income.

Family status is the basic factor affecting consumption demand.

Family characteristics include: population, family members' age and income status.

For example, the average household income and the distribution of household income will significantly affect future store sales.

If the average household income in the area increases, then families will increase their purchase.

Quality and grade requirements.

The size of the family will also have a greater impact on future store sales.

For example, a family composed of two families of young people is shopping in pursuit of fashion, personalization and a small amount. While a family of three families has an only child, its consumption demand is almost centered on children.

The age of family members will also have different needs for commodities.

For example, the aging family tends to buy health care products, fitness products, nutritious food, etc. while children's families invest mainly in children's food, toys and so on.

The population density of a region can be determined by the number of people per square kilometre or the number of households.

The higher the population density of a region is, the larger the location shop can be.

To calculate the daytime population in a region, that is to say, the number of children in the household is removed, plus the number of people who go to work and go to school in the area, and the number of people who go to work and go to school in the area is reduced.

The number of passengers who are partially inflow is not within the number of visits.

The areas with high population density during the day are mostly office areas, school cultural areas and so on.

For areas with large population during the day, we should analyze the characteristics of their consumption demand and conduct business.

For example, to extend work hours and increase convenience projects to meet the needs.

In areas with high population density, close proximity to commercial facilities can increase the frequency of shopping.

Areas with low population density have low attractiveness and fewer customers.

General assessment

The traffic volume of pedestrians passing through the site should be carefully determined, which is the volume of future shops.

The size of human traffic is greatly related to the number of people on the ground.

The survey of the number of passengers on or off the bus is focused on:

The number of passengers on and off the stations has changed over the years.

The greater the number of passengers getting on and off, the better.

If the number of passengers on or off the train is reduced, the population of the business district will also decrease.

According to the customers entering and leaving the station

We can understand the needs of customers at different ages.

Generally speaking, investigation of population agglomeration area is the focus of enterprises' choice.

Such as:

Residential areas.

Such as new residential areas, residential areas and so on.

Daily work places, schools, hospitals and so on are the places where people gather during the day, that is, population gathering areas.

Railway stations, bus stations, subway stations and so on are the accumulation points of people's use of vehicles, and also the places where people gather.

Sports venues, tourist attractions and routes are also places where people gather.

The consumption level of family and population is determined by its income level. Therefore, the level of population income has a decisive impact on the geographical conditions.

Household income per capita can be obtained through household sampling survey.

For example, at the beginning of a commercial building in the western suburbs of Beijing, the residents sampled from the surrounding business circle to the radius of one to two kilometre divided 2000 family samples according to the random sampling method.

After a summary analysis, the average income of the 2000 households accounted for about 50% of the monthly income, accounting for 20% of 500 to 1000 yuan, 20% of the 1000 to 1500 yuan, 10% of the monthly income of 500 yuan per person, and 10%% of the per capita monthly income of 2000 yuan or more.

This shows that most of the residents in this area are wage earners and belong to the middle income level.