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NY市の歩行者動態を可視化する初の包括的モデル(New Model Maps Foot Traffic in New York City)

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2026-02-06 マサチューセッツ工科大学(MIT)

マサチューセッツ工科大学(MIT)の研究チームは、ニューヨーク市の歩行者流動を高精度で可視化する新たなモデルを開発した。携帯端末由来の位置情報や都市データを統合し、時間帯や地域ごとの人流パターンを推定。従来より詳細な空間解像度で歩行者の移動傾向を把握でき、商業活動分析や都市計画、防災対策への応用が期待される。モデルはプライバシーに配慮しつつ、大規模データから都市活動のダイナミクスを抽出する点が特徴で、持続可能で効率的な都市設計の意思決定支援に貢献する。

NY市の歩行者動態を可視化する初の包括的モデル(New Model Maps Foot Traffic in New York City)

An MIT research group has assembled a routable dataset of sidewalks, crosswalks, and footpaths for all of New York City — a massive mapping project and the first complete model of pedestrian activity in any U.S. city.Credit: iStock

<関連情報>

ニューヨーク市における歩行者の空間分布と都市計画への応用 Spatial distribution of foot traffic in New York City and applications for urban planning

Andres Sevtsuk,Rounaq Basu,Liu Liu,Abdulaziz Alhassan & Justin Kollar

Nature Cities  Published:06 February 2026

DOI:https://doi.org/10.1038/s44284-025-00383-y

Abstract

Walking is the most prevalent yet least systematically measured mode of urban travel. We present a first city-wide foot-traffic model for peak travel periods in New York City and examine the model’s use as a baseline for targeted infrastructure investments and hazard analysis in urban planning. Comparing estimated pedestrian volumes with the city’s official street classifications shows that many streets in the outer boroughs experience foot-traffic levels comparable with those in central Manhattan but remain undercategorized for pedestrian priority, highlighting potential inequities in infrastructure investment. Linking pedestrian volumes with crash data further shows that intersections with the highest pedestrian injury risk are often outside Manhattan, where exposure-adjusted danger is the greatest. Our findings demonstrate how a systematic analysis of pedestrian volumes can uncover hidden patterns of accessibility, inequity and risk, providing a foundation for more inclusive and evidence-based urban design and policy.

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