LocationMind-Supported RESAS Tourism Map Further Updated

LocationMind Inc. (Location: Chiyoda-ku, Tokyo, CEO: Naoki Kiritani, hereinafter "LocationMind") has announced further functional updates to the "Tourism Map" within the Regional Economy and Society Analysis System "RESAS (Resas)", which utilizes LocationMind's human flow data. These enhancements will enable users to grasp the status of tourist destinations and surrounding areas more intuitively and smoothly.

In conjunction with this, LocationMind will launch the "Mesh-based x Daily Visit Trend Dashboard" for users seeking more in-depth data analysis beyond the regional information provided by RESAS, allowing for analysis of daily visit trends on a mesh-by-mesh basis.

Furthermore, to immediately leverage these updated data environments in regional revitalization efforts, we will hold a "Special Online Seminar for Mayors" on July 13 (Mon) for mayors, local government officials, and DMO representatives.

About RESAS

The Regional Economy and Society Analysis System "RESAS (Resas)" is an open data platform provided by the Survey Division, Business Environment Department, Small and Medium Enterprise Agency, Ministry of Economy, Trade and Industry, and the Secretariat of the Headquarters for Creating New Regional Economies and Living Environments, Cabinet Office. It visualizes regional economic big data from public and private sectors on maps and graphs in an easy-to-understand manner. No prior registration such as ID registration is required, and it can be used for free.

URL: https://resas.go.jp/

About the RESAS Functional Update

The following menus within the "Tourism Map" have been updated:

List of Updated Menus for "Tourism Map"

Item

Update Details

Tourist Destination Analysis

1. Expansion of tourist destination categories in the National Tourist Information Database 2. New function for ranking of population concentration by mesh 3. Addition of search function to the tourist destination map 4. Banner linkage to confirm daily visit trends on the tourist destination map

Accommodation Analysis

1. Display of the number of inbound overnight visitors by municipality 2. Monthly trends and attribute pyramid display of overnight visitor numbers

Domestic Tourism Consumption Analysis

1. Display of time-series trends 2. Addition of summary tables by prefecture

Inbound Consumption Analysis

1. Display of time-series trends 2. Addition of summary tables by prefecture

Features of the RESAS Functional Update

<Feature 1> Centralized tourism data for more intuitive understanding of regional conditions Previously, when considering regional tourism policies, it was necessary to consult multiple data sources and search for required information depending on the objective. This update adds an expanded range of tourist destination categories displayed on the map, a ranking function for population concentration by mesh, and a tourist destination search function. This makes it easier for local government and DMO staff to intuitively grasp the conditions of tourist destinations and surrounding areas within the region.

<Feature 2> Banner linkage to a site where daily visit trends by mesh can be understood In tourist destination analysis, banner linkage has been added to a site where daily visit trends can be confirmed from the tourist destination map and ranking functions. This makes it easier to understand changes in visit trends due to regional events, tourism campaigns, and seasonal factors. By comparing visit status before and after implementing measures, it can be used to improve future measures and consider target areas.

Banner linkage to the mesh-based x daily visit trend confirmation screen on the tourist destination map

Processed from "Regional Economy and Society Analysis System RESAS - Industrial Structure Analysis" (Ministry of Economy, Trade and Industry) (https://resas.go.jp/industry-all) *LocationMind "xPop" data is data that NTT Docomo has processed in a comprehensive and statistical manner from mobile phone location information transmitted with permission from users of applications provided by NTT Docomo. Location information is GPS data (latitude and longitude information) measured at intervals of as short as 5 minutes and does not contain personally identifiable information.

Supporting more precise decision-making through the integrated use of "RESAS" and the "Mesh-based x Daily Visit Trend Dashboard"

While utilizing the new "RESAS" for understanding the current regional situation, LocationMind is also launching an open data dashboard that enables analysis of mesh-based x daily visit trends for those who require more detailed data analysis.

LocationMind "Mesh-based x Daily Visit Trend Dashboard"

Source: LocationMind "xPop" ©LocationMind Inc., LocationMind Domestic Human Flow Data Note: LocationMind "xPop" data is data that NTT Docomo has processed in a comprehensive and statistical manner from mobile phone location information transmitted with permission from users of applications provided by NTT Docomo. Location information is GPS data (latitude and longitude information) measured at intervals of as short as 5 minutes and does not contain personally identifiable information.

This dashboard allows users to pinpoint and grasp days with high annual tourist numbers on a mesh basis, which can be utilized for understanding current conditions and verifying the effectiveness of measures, such as:

[Main Usage Examples]

Verification of Measure Effectiveness (Understanding Before and After): By comparing the trend in the number of visitors before and after key dates such as facility opening/renewal dates, event dates, or campaign periods, current conditions and actual customer acquisition effects can be verified.

Identification of Success Factors (Application to Next Actions): Starting from days with a sharp increase in visitors, by analyzing events and initiatives implemented during that period, hints for future policy planning and project consideration can be obtained.

By combining the analysis of visits, accommodations, and consumption using RESAS "Tourism Map" with the daily trend analysis using LocationMind "Mesh-based x Daily Visit Trend Dashboard," we will provide more robust support for the planning and effectiveness verification of tourism policies by local governments and DMOs.

Mesh-based x Daily Visit Trend Dashboard

Click the button to transition to the dashboard.

[Step-up Utilization] Holding of a Special Free Online Seminar by "Shucho Magazine"

The special online seminar, organized by Zenryoku Yū Inc., publisher of the local government management information magazine "Shucho Magazine," will introduce practical examples of data analysis by local governments using "RESAS," as well as this dashboard, which will be useful for future tourism policy planning. See the flyer here.

Program

20 minutes

Keynote Speech "Regional Economy and Society Analysis System RESAS ~ Tourism Business in Depopulating Regions ~" Mr. Yukihito Tanaka, Assistant Director, Survey Division, Business Environment Department, Small and Medium Enterprise Agency, Ministry of Economy, Trade and Industry

15 minutes

Lecture "Building a Knowledge Base Data Utilization Model and its Applicability in the Local Government Sector" Mr. Toshinori Ebisawa, Senior Researcher, Tourism Research Department, Japan National Tourism Organization

10 minutes

Introduction to Tourism Data Utilization Support Program

[Recruitment Overview]

Date and Time: July 13, 2026 (Mon) 14:00 - 15:00 Format: Zoom Participation Fee: Free How to Apply: Please apply from the URL below. Application Form: https://docs.google.com/forms/d/e/1FAIpQLSesXW_yh6FZZ2mZMx31inq_1SisblGhfibaT-hw6kZcEq4IpQ/viewform Organizer: Zenryoku Yū Inc., Shucho Magazine Editorial Department

Please also refer to the following service site for our initiatives in the tourism field. LocationMind Tourism Human Flow Data Solution: https://tourism.locationmind.jp/solution/

Contact Information

We are accepting inquiries from local governments and regional DMOs regarding "viewing screen demos," "learning about actual usage methods," and "consulting on how to utilize it for regional tourism policies." Email: kanko@locationmind.com

LocationMind Inc.

Location: PMO Kanda-Tsukasa-cho 4F, 2-8-1 Kanda-Tsukasa-cho, Chiyoda-ku, Tokyo Representative: Naoki Kiritani, Representative Director and CEO Established: February 2019 URL: https://locationmind.com/ Main Business Activities: (1) Development and provision of patented technology that adds security measures to positioning signals such as GPS. (2) Processing of human flow big data, visualization and analysis of human flow data, and deployment of AI-powered human flow prediction services.

LocationMind supports data-driven decision-making for local governments and companies by leveraging technologies related to location big data and positioning signals.