Passenger Flow-Beijing Datafang Technology Co., Ltd

Customer Profile

Resident population Working population Passenger Flow Portraits

Social economy

Economic quality Population size Consumption activity

Brand data

Retail Catering

Political districts and borders

AOI(functional side) Geographic grid Blocks Business area Administrative Division Zip Code border

Public services and facilities

Culture, Education and Health Business facilities Leisure and recreation Transportation

Real Estate Data

Commercial real estate Residential real estate Land lot

Industrial and commercial organizations

Basic map

Customer Profile

Passenger Flow

Data description

Type of data

Passenger Flow

Data description

It belongs to the passenger flow data of the specified area, including daily index of monthly average/working day/holiday passenger flow, daily heat distribution, hourly index and hourly heat

Scope of use

Covering Chinese Mainland, it supports data query in different granularity ranges: cities, districts, counties, business districts, AOI and any region

Update frequency

Monthly

Latest aging

Last MONTH

Data type

Heat map, grid diagram

Data format

Excel、table、shp、geojson、 Database format, etc

API

support

Application Scenarios

Marketing Analytics

Companies can analyze footfall data to assess the effectiveness of marketing campaigns, such as AD placements, promotions, or branding.

Layout optimization

The layout of stores and facilities can be adjusted based on footfall data, such as dispersing popular stores to balance footfall, or placing complementary stores together to increase sales opportunities.

Traffic planning and management

Traffic planners can use ridership data to predict peak hours, optimize public transport schedules and routes, reduce congestion and improve transport efficiency.

Smart city

In smart city projects, ridership data can help city managers optimize resource allocation and improve the efficiency of city operations.