Mobility Data - Vietnam

In Vietnam, mobility data is an essential resource, offering detailed insights into GPS movement patterns crucial for business geotargeting, urban planning, and traffic management. By strictly adhering to privacy regulations, this data provides invaluable information for making informed decisions in Vietnam's dynamic market environment.

Vital Mobility Insights across the Vietnam

Movement database on high granular level in the Vietnam for urban planning, advertisement, mobility and research study, and more applications.

100,000,000+

Total Number of records
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15,000,000+

Unique Identifiers
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5+ years

Years
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Yes

Realtime
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Download a sample for database of mobility database and movement data in Vietnam with future updates

Key Variables

Movement database on high granular level in the Vietnam for urban planning, advertisement, mobility and research study, and more applications.

Name
Description
Type
lon_visit
Longitude coordinate
Float
timezone_visit
Time zone of visit location
String
day_of_week_visit
Day of the week (Monday, Tuesday, etc.)
String
time_stamp
Time of visit in Unix timestamp format
Integer
lat_visit
Latitude coordinate
Float
hashed_device_id
Unique identifier for privacy-protected device tracking
String
time_visit
Specific visit time (hh:mm:ss)
Time
data_visit
Calendar date of visit
Date

Use Cases

How can this dataset benefit you?

Retail Location Strategy

Analyze pedestrian and vehicular traffic trends to identify strategic locations for new retail stores in Vietnamese markets. This data assists retailers in choosing locations with high traffic volumes, ensuring maximum visibility and access to potential customers, crucial for businesses expanding in fast-developing areas like Da Nang and Can Tho.

Traffic Optimization in Hanoi and Ho Chi Minh City

Employ mobility data to analyze and manage traffic congestion in Vietnam’s largest cities. Urban planners can use this information to redesign traffic flows, improve road layouts, and optimize traffic light timings, enhancing overall vehicular movement and reducing commute times.

Public Transport Enhancement

Use the dataset to assess the efficiency of bus and metro lines across Vietnam, particularly in urban centers. This allows transportation authorities to adjust routes, increase frequencies, and plan new lines based on actual usage patterns and passenger demands, improving public transport services and rider satisfaction.

Vietnam movement and mobility - All what you need to know

Mobility data and footfall data are terms often used in the fields of urban planning, retail, and transportation to describe different types of movement-related information:

Mobility Data

In Vietnam, mobility data is instrumental in unraveling the complex movement patterns of individuals and vehicles across diverse locations and timeframes. It encompasses insights derived from GPS devices, mobile phones, and transportation systems, providing valuable information on travel behaviors, preferred routes, transportation modes, and timing. Urban planners, transportation authorities, and businesses utilize this data to optimize traffic management, design efficient transportation networks, enhance public transit systems, and accurately forecast travel demands.

Footfall Data

Footfall data in Vietnam offers precise metrics on the volume of individuals traversing or visiting specific areas like retail stores, shopping malls, public squares, or event venues. Collected through sensors, CCTV cameras, or manual counts, this data is indispensable for evaluating marketing effectiveness, store performance, and spatial layout efficiencies within retail establishments. Additionally, it assists in assessing the popularity of public spaces, contributing to the planning and governance of urban environments to improve safety, accessibility, and economic prosperity.

Anonymized mobile phone data serves as the foundation for deriving this valuable information, facilitating a comprehensive understanding of retail, mobility, and real estate dynamics in Vietnam.

Example about Vincom Mega Mall Royal City

Vincom Mega Mall Royal City in Hanoi, Vietnam, is one of Southeast Asia's largest shopping complexes, spanning over 230,000 square meters. Known for its European-style architecture, the mall features an impressive range of amenities, including Vietnam's largest ice skating rink, an indoor water park, a cinema complex, a bowling alley, and an arcade. With a vast food court and numerous restaurants offering diverse cuisines, it caters to a wide array of culinary preferences. The mall frequently hosts vibrant events and festivals, adding to its appeal. Conveniently located in Thanh Xuan District and adjacent to a luxurious residential complex, Vincom Mega Mall Royal City is a premier destination for shopping, dining, and entertainment, committed to sustainability and green practices.

Location Pins report (heat map)

The visitors of Vincom Mega Mall Royal City are spread around the mall, allowing for better identification of the country and store performance 

Origin of trips

Understanding the origin of visitor traffic is crucial for deciphering visitor behavior. The report below utilizes extensive data to estimate visitor inflow and their origins.

Visitors inflow

The fluctuating influx of visitors to Vincom Mega Mall Royal City over time is depicted in the trend graph, offering insights into daily visitor patterns. 

This graph illustrates the fluctuations in visitor numbers at Vincom Mega Mall Royal City over time, offering valuable insights into daily trends. Analyzing this data allows stakeholders to identify patterns such as peak days and seasonal variations, informing decisions on operations and marketing strategies in Vietnam.

Distribution of Visits by Days of the Week

The distribution of visits by days of the week provides insights into the varying levels of foot traffic experienced by Vincom Mega Mall Royal City, aiding in operational planning and resource allocation.

Distribution of Visits by Hours of the Day

Analyzing the distribution of visits by hours of the day unveils the peak periods of activity at Vincom Mega Mall Royal City, informing staffing schedules and optimizing customer service strategies.

Transportation Patterns Data

Our Transportation Patterns Data offers a holistic perspective on commuting behaviors and travel trends within Vietnam, shedding light on how residents and visitors navigate between cities such as Hanoi, Ho Chi Minh City, and Da Nang. Crucial for urban planning and infrastructure development, this anonymized dataset upholds privacy while providing invaluable insights into transportation dynamics in Vietnam."

Traffic Flow Analytics Data

Traffic Flow Analytics Data meticulously captures the intricate dynamics of vehicle movements across Vietnam's major road networks. This dataset is indispensable for crafting advanced traffic management systems and alleviating congestion in bustling urban centers such as Hanoi and Ho Chi Minh City, offering anonymized insights into the daily traffic patterns of the populace."

Location Analytics Data

Location Analytics Data holds significant importance for businesses and urban planners in Vietnam, offering comprehensive insights into spatial movement trends across regions like Hanoi's Old Quarter or Ho Chi Minh City's District 1. This anonymized dataset assists in deciphering factors driving foot traffic, crucial for strategic retail location planning, event coordination, and real estate development initiatives throughout Vietnam."

Route Usage Data

Route Usage Data delves into the utilization patterns of transportation routes across Vietnam, providing valuable insights for transport authorities. Through meticulous analysis, this anonymized dataset facilitates the enhancement of public transit systems and road networks to meet increasing demands, ensuring seamless movement of individuals and goods within cities such as Hanoi and Ho Chi Minh City."

Movement Tracking Data

Movement Tracking Data offers detailed insights into movement patterns across Vietnam, supporting businesses and government agencies in understanding pedestrian and vehicular flows in cities like Hanoi, Ho Chi Minh City, and Da Nang. This anonymized dataset plays a crucial role in enhancing safety measures, optimizing urban layouts, and improving overall mobility in these dynamic metropolitan centers."

Mobility Pattern Analysis Data

Mobility Pattern Analysis Data provides a comprehensive study of commuting behaviors across diverse regions of Vietnam, aiding stakeholders in crafting targeted strategies for transportation, urban development, and commercial investments. Utilizing anonymized data, insights gleaned from cities such as Hanoi and Ho Chi Minh City inform nuanced decision-making, facilitating the optimization of mobility solutions tailored to local movement trends.

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Frequently Asked Questions

Find answers to commonly asked questions about our spatial analyst platform.

Can this mobility data help in optimizing public transportation in Vietnam?

Yes, the dataset is crucial for analyzing the efficiency of existing public transport systems and identifying areas underserved by current routes. Transportation authorities can leverage this data to modify bus and metro schedules, plan new routes, and improve connectivity, particularly in rapidly urbanizing areas, ensuring more efficient and user-friendly transportation services.

What information is included in the "Vietnam - Mobility Data" dataset?

This dataset offers comprehensive insights into vehicular, public transit, and pedestrian traffic across various regions of Vietnam. It includes data on traffic volumes, transit usage patterns, and pedestrian flow, particularly in urban and developing areas, making it a valuable resource for traffic management and urban planning.

How can urban planners use this data to improve city layouts in Vietnam?

Urban planners can utilize the dataset to identify congestion hotspots and high pedestrian traffic areas in cities like Hanoi, Ho Chi Minh City, and Da Nang. The insights provided can guide decisions on road expansions, public space allocations, and the development of pedestrian-friendly zones to enhance urban mobility and safety.

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