A groundbreaking study by researchers at the Massachusetts Institute of Technology (MIT) has produced the first comprehensive, routable dataset of sidewalks, crosswalks, and footpaths for all of New York City, creating a detailed model of pedestrian activity. This massive mapping project, published today in the journal Nature Cities, promises to revolutionize urban planning by providing planners and policymakers with unprecedented data on how people move through the city on foot. Historically, urban planning has heavily prioritized vehicular traffic, often overlooking the complexities and volumes of pedestrian movement. This new model aims to rectify that imbalance, offering critical insights into pedestrian infrastructure needs, public space investments, and the impact of development decisions on non-motorized travel.
The study, led by Andres Sevtsuk, an associate professor in MIT’s Department of Urban Studies and Planning (DUSP), also illuminates areas where high pedestrian traffic intersects with significant safety hazards, such as traffic crashes. This allows for a more targeted approach to improving street and intersection safety, moving beyond simply counting accidents to understanding risk on a per-pedestrian basis.
“We now have a first view of foot traffic all over New York City and can check planning decisions against it,” stated Sevtsuk. “New York has very high densities of foot traffic outside of its most well-known areas.” This finding challenges the perception that dense pedestrian activity is confined solely to iconic Manhattan districts.
Uncovering Hidden Pedestrian Hubs Beyond Manhattan
While Midtown Manhattan undeniably boasts the highest foot traffic per block, the MIT model reveals that the city’s other boroughs possess significant stretches of pedestrian-heavy sidewalks that may be underserved by current infrastructure investments. This suggests a potential "Manhattan bias" in existing pedestrian-support policies.
“Midtown Manhattan has by far the most foot traffic, but we found there is a probably unintentional Manhattan bias when it comes to policies that support pedestrian infrastructure,” Sevtsuk elaborated. “There are a whole lot of streets in New York with very high pedestrian volumes outside of Manhattan, whether in Queens or the Bronx or Brooklyn, and we’re able to show, based on data, that a lot of these streets have foot-traffic levels similar to many parts of Manhattan.”
This revelation is crucial for equitable urban development, suggesting that resources allocated to pedestrian infrastructure could be more effectively distributed across all five boroughs. By quantifying foot traffic in less prominent areas, the study provides a data-driven argument for increased investment in neighborhoods that may have been overlooked in previous planning paradigms.
A New Metric for Pedestrian Safety: Risk Per Pedestrian
A significant advancement of the MIT model lies in its ability to quantify vehicle-pedestrian crashes not just by raw totals but on a per-pedestrian basis. This innovative approach shifts the focus from simply identifying crash hotspots to understanding the actual risk individuals face while walking.
“A lot of cities put real investments behind keeping pedestrians safe from vehicles by prioritizing dangerous locations,” Sevtsuk explained. “But that’s not only where the most crashes occur. Here we are able to calculate accidents per pedestrian, the risk people face, and that broadens the picture in terms of where the most dangerous intersections for pedestrians really are.”
This metric allows for a more nuanced understanding of safety. For instance, areas with extremely high pedestrian volumes, such as Times Square or Herald Square in Manhattan, might record a high number of absolute crashes. However, when analyzed per pedestrian, these areas might reveal a lower risk than seemingly less busy locations with a higher proportion of accidents relative to the number of people walking. This data can guide more effective safety interventions, prioritizing resources towards areas where pedestrians are most vulnerable, irrespective of the total number of incidents.
The Genesis of the Model: From Cinematic Iconography to Data-Driven Planning
The impetus for such a comprehensive pedestrian model can be traced, in part, to a cultural touchstone: the iconic scene from the 1969 film "Midnight Cowboy." In the film, Dustin Hoffman’s character, Ratso Rizzo, angrily confronts an encroaching taxi with the now-famous line, “I’m walking here!” This cinematic moment encapsulates the often-fraught relationship between vehicles and pedestrians in dense urban environments, a tension that has long been felt but inadequately quantified.
For decades, urban planners and government officials have meticulously tracked vehicular traffic, investing heavily in road infrastructure and traffic management systems. Pedestrian traffic, however, has largely remained an unmeasured variable, its patterns and impacts poorly understood. This oversight has led to urban environments that often prioritize cars, sometimes at the expense of pedestrian safety and accessibility.
The MIT research group’s endeavor to map every sidewalk, crosswalk, and footpath in New York City represents a significant step towards rectifying this historical imbalance. The project is the culmination of years of research into pedestrian behavior and urban mobility, building upon previous studies conducted by Sevtsuk and his colleagues in various global cities, including Melbourne and Cambridge, Massachusetts.
Data Collection and Calibration: A Deep Dive into NYC’s Foot Traffic
The foundation of the MIT model is built upon a robust data collection and calibration process. New York City, with its high reliance on walking – approximately 41% of all trips city-wide are made on foot, surpassing vehicular trips at 28% – provided a rich environment for this study. This ratio is reportedly the highest among major U.S. cities, underscoring the importance of understanding pedestrian dynamics in the metropolis.
The MIT team utilized pedestrian count data meticulously recorded by the New York City Department of Transportation (DOT) in 2018 and 2019. These counts covered up to 1,000 city sidewalk segments on weekdays and approximately 450 segments on weekends. This extensive dataset served as the ground truth for calibrating the sophisticated model.
The model itself incorporates a wide array of factors to predict foot traffic, allowing researchers to expand their estimates beyond the specific points where direct counts were observed. This includes analyzing factors like proximity to transit stops, major employment centers, retail areas, public spaces, and the built environment’s characteristics. By cross-referencing the model’s predictions with the DOT’s empirical data, the researchers validated its accuracy and refined its predictive capabilities.
Emerging Patterns: Beyond the Tourist Trail
The study’s findings reveal nuanced patterns of pedestrian movement across New York City. While Midtown Manhattan consistently shows the highest average pedestrian volume per sidewalk segment per hour during the evening peak (approximately 1,697 pedestrians), the Financial District and Greenwich Village also emerge as significant hubs.
However, the data also highlights that pedestrian activity extends far beyond these well-known commercial and tourist areas. Neighborhoods like Morningside Heights and East Harlem in Manhattan register moderate foot traffic levels (around 226-227 pedestrians per block per hour). Crucially, these figures are comparable to, or even exceed, those found in certain parts of Brooklyn, the Bronx, and Queens. For example, Brooklyn Heights recorded 277 pedestrians per hour, University Heights in the Bronx had 263, and areas like Borough Park and the Grand Concourse in the Bronx, as well as Corona in Queens, averaged between 222 and 236 pedestrians per hour. This underscores the widespread nature of pedestrian activity throughout the city, challenging assumptions that only central business districts generate substantial foot traffic.
Understanding Trip Purposes: Morning Commutes vs. Evening Diversions
The model also offers insights into the varied purposes of pedestrian journeys throughout the day. In the morning, transit stops act as major attractors of foot traffic, driven by commuters heading to work and students attending school. This pattern is largely dictated by job locations and public transportation networks.
“Because of jobs, transit stops are the biggest generators of foot traffic in the morning peak,” noted Liu Liu, a PhD student at the City Form Lab in DUSP and a co-author of the study. “In the evening peak, of course people need to get home too, but patterns are much more varied, and people are not just returning from work or school. More social and recreational travel happens after work, whether it’s getting together with friends or running errands for family or family care trips, and that’s what the model detects too.”
This distinction between morning commute patterns and the more diverse mid-day and evening activities highlights the need for pedestrian infrastructure that accommodates a range of needs, from efficient transit access to safe and pleasant routes for social, recreational, and essential errands.
Safety Implications: Identifying True High-Risk Zones
The application of the per-pedestrian crash metric has yielded critical insights into pedestrian safety. While heavily trafficked areas like Times Square and Herald Square may record a high number of crashes, the study suggests that the risk for individual pedestrians in these locations is relatively low due to the sheer volume of people.
Conversely, Rounaq Basu, an assistant professor at Georgia Tech and another co-author, pointed out that certain areas present a disproportionately higher risk. “Places like Times Square and Herald Square in Manhattan may have numerous crashes, but they have very high pedestrian volumes, and it’s actually relatively safe to walk there,” Basu stated. “There are other parts of the city, around highway off-ramps and heavy car-infrastructure, including the relatively low-density borough of Staten Island, which turn out to have a disproportionate number of crashes per pedestrian.”
This finding suggests that urban planners and safety advocates should look beyond just the absolute number of accidents and consider the context of pedestrian volume to identify the most dangerous environments for walkers. Areas adjacent to major roadways, complex highway interchanges, and locations with less developed pedestrian infrastructure may pose a greater per-capita risk, even if they do not register the highest absolute crash numbers.
Broader Implications and Future Applications
The implications of the MIT pedestrian model extend far beyond New York City. The researchers envision its application in urban planning and policy-making across the United States and potentially globally. The model’s ability to generate detailed, routable pedestrian data provides a powerful tool for:
- Informed Infrastructure Investment: Planners can identify where pedestrian infrastructure, such as wider sidewalks, improved crosswalks, and dedicated bike lanes, is most needed and will have the greatest impact.
- Assessing Development Impacts: New construction projects or rezoning efforts can be evaluated not only for their impact on vehicular traffic but also for their effects on pedestrian flow and safety.
- Enhancing Public Space Design: Understanding pedestrian movement patterns can inform the design of parks, plazas, and streetscapes to better serve the needs of walkers and create more vibrant public realms.
- Improving Transportation Equity: By highlighting pedestrian activity in underserved areas, the model can advocate for more equitable distribution of resources and infrastructure improvements across all neighborhoods.
- Climate Action and Decarbonization: Encouraging walking and other forms of non-motorized transport is a key strategy for reducing carbon emissions in urban areas. This model can support policies aimed at shifting travel modes away from single-occupancy vehicles.
The research team is already collaborating with municipal officials in other cities, including Los Angeles, which is preparing for the 2028 Summer Olympics and seeking to enhance its pedestrian and public transit infrastructure. Additionally, the state of Maine is utilizing the MIT team’s expertise to evaluate pedestrian movement across more than 140 cities and towns, aiming to identify statewide safety improvements.
“I hope this can inspire other cities to invest in modeling foot traffic and mapping pedestrian infrastructure as well,” Sevtsuk urged. “Very few cities make plans for pedestrian mobility or examine rigorously how future developments will impact foot-traffic. But they can. Our models serve as a test bed for making future changes.”
The study, titled "Spatial Distribution of Foot-traffic in New York City and Applications for Urban Planning," was co-authored by Andres Sevtsuk, Rounaq Basu, Liu Liu, Abdulaziz Alhassan, and Justin Kollar. The researchers believe this work represents a critical step towards a more balanced and people-centric approach to urban planning, moving away from the 20th-century focus on the automobile and embracing the vital role of walking in sustainable and livable cities. The implications are profound, suggesting a future where urban planning decisions are informed not just by the roar of engines, but by the rhythm of footsteps on the pavement.
