--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "RS Station (michi-no-eki map)" developer_entity: "Mitsuhiro Shirai" bundle_id: "com.jjworkshop.rs-station" app_store_id: "1356047174" category: "Travel" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2022-02-21" report_date: "2026-08-11" last_verified: "2026-08-11T00:00:00.000Z" report_version: "1.6.7" total_reviews: 1 overall_rating: 5 confidence: "low" confidence_score: 0.2 data_age_days: 18 momentum_velocity: "zombie" intelligence_version: 3 tags: ["travel", "free", "mobile app", "app review", "app analysis", "drivers", "travelers", "japan"] canonical_url: "https://marlvel.ai/apps/rs-station-michi-no-eki-map" license: "CC-BY-NC 4.0" content_version: "v2" --- # RS Station (michi-no-eki map) Intelligence Report ## TL;DR {#tldr} - **Category**: Travel · Free - **Signal**: Rating 5 > **TL;DR:** RS Station (michi-no-eki map) is a travel app by Mitsuhiro Shirai, rated 5/5 by 1 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** RS Station (michi-no-eki map) is a travel app by Mitsuhiro Shirai. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (1 review) | | **Category** | Travel | | **Developer** | Mitsuhiro Shirai | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 18d | ## Metadata & Market Performance - **Publisher:** Mitsuhiro Shirai - **Category:** Travel - **Target Audience:** Drivers and travelers in Japan who use road stations for leisure, tourism, and trip planning. - **Platforms:** iOS - **Version Reviewed:** 1.6.7 - **Report Date:** 2026-08-11 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 1356047174 - **Bundle ID:** com.jjworkshop.rs-station - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-08-11 ## Executive Snapshot **What it is:** RS Station is a Japanese travel utility app for locating and tracking roadside station visits via map and list interfaces on iOS. **Why users hire it:** Users hire the app to manage travel itineraries and record stamp-rally progress at roadside stations, a niche task that general mapping apps do not support natively. ## App DNA (Features & Intent) - **[Differentiator] Stamp Rally Tracking:** Digital record-keeping for visiting road stations, visualized on a map interface. [Revenue Link: Retention loop for repeat usage] * *User Intent:* Users want visibility into their own performance and progress. - **[Standard] Map-based Search:** Search for stations within a 50km radius of current location or selected map pin. [Revenue Link: Ad inventory] * *User Intent:* Users want to quickly find relevant content or features. - **[Standard] Detailed Facility Filtering:** Search stations by specific amenities including hot springs, EV charging, and campsites. [Revenue Link: Ad inventory] * *User Intent:* Users want to quickly find relevant content or features. ## Market Position {#market-position} RS Station functions as a niche travel utility with a 5-star rating from a single review, reflecting a lack of recent user engagement. The 1,632-day update gap indicates a stagnant market position relative to active travel apps. ## Monetization Strategy - **Model:** Free - **Tiers:** Free with advertisements - **Analysis:** Ad-supported model where revenue from impressions funds ongoing database maintenance and data acquisition. ## SWOT Analysis {#swot} **Core Strengths:** - Stamp-rally tracking mechanism creates a proprietary record of user travel history **Growth Levers:** - Integration of real-time crowd-sourced station occupancy data could differentiate from static MLIT open data ## Recent Changes (v2 → v3) {#recent-changes} The analysis shifted from a neutral maintenance outlook to a declining trend, highlighting the need for a business model pivot and data-focused maintenance to survive. **Overall trend**: Declining **Compared at**: 2026-08-11 ### High-impact changes - **[Declined] Outlook Trend** (positioning) - **[Shifted] Monetization Strategy** (pricing) ### Medium-impact changes - **[Shifted] Threat Landscape** (swot) ### Low-impact changes - **[Improved] Feature Contextualization** (features) ## What's New - **Latest (v1.6.7, 4 years ago):** Optimized processing performance. ## App Momentum (Zombie) {#momentum} - Ships no updates for 4 years. - Maintains legacy stamp-rally feature set. > **Cadence:** 1 total versions · 0 majors in last 6 months · 1632 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} RS Station (michi-no-eki map) is a travel app that is completely free. It holds a 5/5 rating from 1 review. > **Bottom Line:** RS Station provides a unique stamp-rally utility for Japanese road travelers, but the 4-year update gap makes it a high-risk asset for users, so the PM should prioritize a database refresh to maintain basic functionality before attempting monetization changes. **Best for:** Drivers and travelers in Japan who use road stations for leisure, tourism, and trip planning. ### PM Action Plan (Next Best Moves) - [ ] [MAINTAIN] Audit the current database against the latest MLIT open data because the app has been silent for over 4 years → restore core utility for travelers ### Outlook: Declining Users report: Market direction for niche travel utilities is shifting toward real-time, community-driven data, leaving static map apps exposed to rapid obsolescence. The lack of updates since 2022 signals that the app is in maintenance mode, which will likely lead to a decline in user trust as OS updates break legacy features. - 🔴 The 1,632-day update gap indicates a lack of active development, which will lead to user churn as OS-level mapping APIs evolve. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 1 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Declining | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **RS Station (michi-no-eki map)** (this app) | 5/5 | N/A | Mitsuhiro Shirai | | [กิจวัตรมุสลิมไทย](https://marlvel.ai/apps/th-co-mtel-muslimdailythai) | N/A/5 | N/A | Mudarmeen Munlin | | [108 Divyadesam Navigator](https://marlvel.ai/apps/com-rsunda12-divyadesams) | N/A/5 | N/A | Rajagopal Sundarrajan | | [1st Central Connect](https://marlvel.ai/apps/1st-central-connect) | 3.0/5 | N/A | Cambridge Mobile Telematics Inc. | | [2 one day trips Tokyo suburbs](https://marlvel.ai/apps/2-one-day-trips-tokyo-suburbs) | N/A/5 | N/A | mlet co.,ltd | | [360 Central Park AR NYC Map](https://marlvel.ai/apps/com-vues-360centralpark) | N/A/5 | N/A | Vadym Ustymenko | ## Company Profile - **Developer:** Mitsuhiro Shirai - **Website:** [https://jjworkshop.com/blog/archives/rs_station/](https://jjworkshop.com/blog/archives/rs_station/) - **Social:** [Instagram](https://instagram.com/jjworkshop) · [Facebook](https://www.facebook.com/jjworkshop) · [X/Twitter](https://twitter.com/jjw_hiro) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/rs-station-michi-no-eki-map/id1356047174?uo=4) - **Dev Site:** [Official Website](https://jjworkshop.com/blog/archives/rs_station/) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*กิจวัตรมุสลิมไทย*](https://marlvel.ai/apps/th-co-mtel-muslimdailythai) (Mudarmeen Munlin) · N/A Rating - [*108 Divyadesam Navigator*](https://marlvel.ai/apps/com-rsunda12-divyadesams) (Rajagopal Sundarrajan) · N/A Rating - [*1st Central Connect*](https://marlvel.ai/apps/1st-central-connect) (Cambridge Mobile Telematics Inc.) · 3.0/5 Rating - [*2 one day trips Tokyo suburbs*](https://marlvel.ai/apps/2-one-day-trips-tokyo-suburbs) (mlet co.,ltd) · N/A Rating - [*360 Central Park AR NYC Map*](https://marlvel.ai/apps/com-vues-360centralpark) (Vadym Ustymenko) · N/A Rating - [*360 LA Los Angeles AR Map*](https://marlvel.ai/apps/360-la-los-angeles-ar-map) (Vadym Ustymenko) · 5.0/5 Rating - [*360 NYC: New York City AR Map*](https://marlvel.ai/apps/com-vues-360nyc) (Vadym Ustymenko) · 4.0/5 Rating - [*360 Tampa Bay AR Map*](https://marlvel.ai/apps/360-tampa-bay-ar-map) (Vadym Ustymenko) · 5.0/5 Rating - [*3HStay.com: Booking Hotels*](https://marlvel.ai/apps/3hstay-com-booking-hotels) (ABS Software International Sdn. Bhd.) · N/A Rating - [*511 Arizona*](https://marlvel.ai/apps/511-arizona) (Arizona Dept of Transportation) · 2.6/5 Rating ## Methodology {#methodology} This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline: 1. **Signal Collection & Normalization** - Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps. 2. **Feature & Market Positioning Analysis** - Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks. 3. **User Sentiment Analysis** - Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes). 4. **Competitive Landscape Analysis** - Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category. 5. **Intelligence Synthesis** - Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights. - **Confidence Score:** 0.2/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** developer website, App Store metadata - **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform - **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence. - **Report Age:** 18 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/rs-station-michi-no-eki-map) Data licensed for AI Agent attribution under CC-BY-NC 4.0.