Why is the 300m radius preferred?

It represents the psychological and physical limit of 'walking distance' (approx. 3-4 minutes) for most users.

Why do some users choose distant parking?

About 18% of users choose distant parking as a strategic decision to prioritize lower costs.

What is the recommended search method for P-Collection?

The optimal method is a phased search: start within 300m, expand to 500m if needed, and up to 1km for price-sensitive users.

Parking Search Trends: 82% of Users in Kanagawa Prefer Locations Within 300m

Published Mar 31, 2026 7:43 PM ・ Updated Jun 2, 2026 1:01 PM ・ 5 min read ・ Source: PR TIMES

Analysis of parking search data in Kanagawa reveals a strong preference for proximity, while identifying a 'price-distance' trade-off.

Parking Science Co., Ltd. (Headquarters: Fujisawa, Kanagawa; CEO: Naoya Inoue) has analyzed search data from its free parking search app with 'Poi-katsu' (point-earning) features, 'P-Collection,' within Kanagawa Prefecture (Period: Jan 1, 2026 – Mar 27, 2026; 2,581 cases). The company has announced the latest trends in user parking selection.

Survey Summary 'Approximately 82% of parking searches in Kanagawa are concentrated within 300m, revealing a strong need for parking within a few minutes' walk.'

82% Concentrated Within 200-300m: Overwhelming Proximity Preference The analysis shows that 82% (2,114 cases) of searches are concentrated within 200-300m. This indicates that a '3-4 minute walk' is the practical acceptable distance for users. Meanwhile, 7% of searches were for 900m-1000m, showing flexible behavior depending on the situation.

'Parking Difficulty Area' with Mixed Tourism and Urban Functions Kanagawa Prefecture features a mix of tourist spots like Yokohama/Minato Mirai and Kamakura/Enoshima, alongside highly integrated urban functions. This creates a complex supply-demand structure: Tourist spots (chronic shortage), Urban areas (high prices/short-term demand), and Peripheral areas (decentralized parking). The data confirms a 'search nearby first, expand if necessary' behavior.

Increased Demand for Proximity from New Year to Early Spring The period from January to March involves New Year visits, winter events, and spring break, leading to increased tourist inflow and a stronger need to 'park as close as possible.'

The 'Reverse' Logic: 18% Choose Price Over Proximity Notably, about 18% of users search beyond 300m. This is not just a compromise but a strategic choice prioritizing price, as parking fees are location-dependent. There is a 'walking vs. price' trade-off.

Recommended Usage of P-Collection 1. Search within 300m first (Standard). 2. Expand to 500m if not found. 3. Consider up to 1km if price is the priority.

About P-Collection App Name: P-Collection. Available on iOS/Android. Free. Features include a database of over 150,000 parking lots, 'ease of parking' rankings, and point-earning features.

FACT BOX

Source: PR TIMES
Category: News

Parking Search Trends: 82% of Users in Kanagawa Prefer Locations Within 300m

⚡ Key Points

Survey Summary 'Approximately 82% of parking searches in Kanagawa are concentrated within 300m, revealing a strong need for parking within a few minutes' walk.'

Increased Demand for Proximity from New Year to Early Spring The period from January to March involves New Year visits, winter events, and spring break, leading to increased tourist inflow and a stronger need to 'park as close as possible.'

The 'Reverse' Logic: 18% Choose Price Over Proximity Notably, about 18% of users search beyond 300m. This is not just a compromise but a strategic choice prioritizing price, as parking fees are location-dependent. There is a 'walking vs. price' trade-off.

Recommended Usage of P-Collection 1. Search within 300m first (Standard). 2. Expand to 500m if not found. 3. Consider up to 1km if price is the priority.

About P-Collection App Name: P-Collection. Available on iOS/Android. Free. Features include a database of over 150,000 parking lots, 'ease of parking' rankings, and point-earning features.

FACT BOX

Editorial & Verification Standards

FAQ

Cite this article — HOW TO CITE

AI CRAWLER ACTIVITY