A groundbreaking study by a research group at the Massachusetts Institute of Technology (MIT) has produced the first comprehensive, routable dataset of pedestrian pathways for an entire U.S. city, focusing on New York City. This meticulously crafted model, encompassing sidewalks, crosswalks, and footpaths, promises to revolutionize urban planning by providing an unprecedented understanding of how people navigate cities on foot. For decades, urban planning has predominantly prioritized vehicular traffic, often at the expense of pedestrian needs and safety. This new dataset offers a critical counterbalance, illuminating the intricate patterns of human movement and highlighting areas where investment in pedestrian infrastructure is most needed and where safety risks are most pronounced.
The genesis of this ambitious project can be traced back to a pivotal moment in cinematic history. In the iconic 1969 film "Midnight Cowboy," Dustin Hoffman’s character, the down-on-his-luck Ratso Rizzo, famously admonishes an encroaching taxi with the defiant cry, "I’m walking here!" This memorable scene, while fictional, powerfully encapsulates the often-tense relationship between pedestrians and vehicles in bustling urban environments. It underscores a fundamental truth that has long been overlooked by urban planners: where cars and people intersect, friction is inevitable, and understanding these interactions is paramount for creating livable and functional cities.
Historically, urban planners and government officials have meticulously tracked vehicle traffic, collecting vast amounts of data on road usage, speed, and congestion. However, pedestrian traffic has largely remained a blind spot. While some cities have collected limited pedestrian counts in specific areas, a holistic and comprehensive understanding of foot traffic across an entire metropolitan area has been absent. This oversight has led to development decisions and infrastructure investments that may not adequately serve the needs of the significant portion of the population who rely on walking for their daily commutes and activities. The MIT study aims to rectify this deficit, offering a granular, city-wide view of pedestrian movement that has never before been available.
Unveiling the Patterns of Urban Foot Traffic
The implications of this comprehensive pedestrian model are far-reaching. It provides urban planners with a powerful tool to make informed decisions about where to allocate resources for pedestrian infrastructure, such as wider sidewalks, improved crosswalks, and pedestrian-friendly public spaces. Furthermore, it can shed light on how new development projects and urban renewal initiatives might impact non-motorized travel, ensuring that growth does not come at the expense of walkability.
"We now have a first view of foot traffic all over New York City and can check planning decisions against it," stated Andres Sevtsuk, an associate professor in MIT’s Department of Urban Studies and Planning (DUSP) and the lead investigator of the study. "New York has very high densities of foot traffic outside of its most well-known areas."
One of the most significant findings of the study is the revelation that while Manhattan, particularly Midtown, exhibits the highest density of foot traffic per block, the other boroughs of New York City possess substantial pedestrian-heavy areas that have historically received less attention and investment. This suggests a potential bias in urban planning policies towards the most visible and commercially active parts of Manhattan, potentially neglecting equally vital pedestrian networks in Queens, Brooklyn, and the Bronx.
"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."
Quantifying Pedestrian Safety Beyond Raw Numbers
Beyond mapping foot traffic, the MIT model introduces a crucial innovation: the ability to quantify pedestrian safety not just by the total number of crashes, but on a per-pedestrian basis. This refined approach moves beyond simply identifying "hotspots" of accidents and instead reveals the actual risk faced by individuals in different locations.
"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 per-pedestrian risk assessment can dramatically alter how safety interventions are prioritized. Areas with high pedestrian volumes might register a large number of crashes, but if the risk per individual is relatively low due to the sheer number of people present, other locations with fewer total crashes but a higher concentration of pedestrians could be identified as more critical for immediate safety improvements.
The research paper, titled "Spatial Distribution of Foot-traffic in New York City and Applications for Urban Planning," was published in the prestigious journal Nature Cities. The study was a collaborative effort involving Sevtsuk, Rounaq Basu (assistant professor at Georgia Tech), Liu Liu (PhD student at MIT’s City Form Lab), Abdulaziz Alhassan (PhD student at MIT’s Center for Complex Engineering Systems), and Justin Kollar (PhD student at MIT’s Leventhal Center for Advanced Urbanism).
A Deeper Dive into Pedestrian Behavior and Needs
The current study builds upon Sevtsuk and his colleagues’ prior work in charting and modeling pedestrian traffic in various global locations, including Melbourne and MIT’s own Kendall Square. While many cities collect some pedestrian data, the scope and depth of such data have been limited. Furthermore, the established practice of requiring vehicle traffic impact assessments for new developments rarely extends to evaluating the impact on pedestrian movement.
New York City, however, has shown a commitment to pedestrian issues through its Department of Transportation (DOT). Notably, approximately 41 percent of all trips within the city are made on foot, a figure that dwarfs the 28 percent made by vehicles. This high proportion of walking trips likely represents the highest such ratio among major U.S. cities, underscoring the critical importance of understanding pedestrian dynamics.
To calibrate their sophisticated model, the MIT team utilized pedestrian count data collected by the New York City DOT in 2018 and 2019. This data included weekday counts from up to 1,000 sidewalk segments and weekend counts from roughly 450 segments. The model, which integrates a wide array of factors influencing pedestrian movement, was rigorously tested against this real-world data, proving its accuracy and reliability. Once calibrated, the model could extrapolate foot-traffic estimates to cover the entire city, extending beyond the specific locations where direct counts were recorded.
The findings revealed that Midtown Manhattan leads the city in pedestrian density, averaging about 1,697 pedestrians per sidewalk segment per hour during the evening peak. The Financial District in Lower Manhattan followed with 740 pedestrians per hour, and Greenwich Village ranked third with 656.
However, the data also highlighted that other parts of Manhattan experience lower foot traffic levels. Morningside Heights and East Harlem, for instance, registered 226 and 227 pedestrians per block per hour, respectively. These figures are comparable to, or even lower than, those found in some areas of the outer boroughs. Brooklyn Heights saw 277 pedestrians per hour, University Heights in the Bronx recorded 263, Borough Park in Brooklyn and the Grand Concourse in the Bronx averaged 236, and a section of Corona in Queens averaged 222. Numerous other locations across the city also registered over 200 pedestrians per hour.
The model’s ability to overlay different types of pedestrian journeys throughout the day provides further insights into urban life. It demonstrates that morning travel is largely driven by commutes to work and school, with transit stops serving as major hubs for foot traffic. As the day progresses into midday and evening, trip purposes become more varied, encompassing visits to amenities, social gatherings, and recreational activities.
"Because of jobs, transit stops are the biggest generators of foot traffic in the morning peak," observed Liu Liu, a PhD student involved in 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."
Re-evaluating Pedestrian Safety Across the City
The safety analysis conducted using the model offers a more nuanced perspective on pedestrian hazards. It reveals that danger is not confined to intersections with the highest raw number of accidents. Certain areas present a greater risk on a per-pedestrian basis, even if they do not record the highest total crash figures.
"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," noted Rounaq Basu, another member of the research team. "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 has significant implications for resource allocation in pedestrian safety initiatives. Instead of solely focusing on areas with the most accidents, city officials can now use the per-pedestrian risk metric to identify and address locations where walkers face the greatest danger relative to their numbers. This could lead to more effective and targeted interventions, potentially saving lives and reducing injuries more efficiently.
A Model for Urban Futures Across the Nation
The potential for the MIT pedestrian model to influence policy and planning in New York City is substantial, with city officials already engaging with the research team. However, the significance of this work extends far beyond the five boroughs. The methodology and the resulting dataset serve as a powerful template that can be adapted and applied to cities and towns across the United States.
The research team is actively collaborating with municipal authorities in other locations. In Los Angeles, for example, city officials are leveraging the model as they plan for enhanced pedestrian and public transit mobility, particularly in anticipation of the 2028 Summer Olympics, which will draw a massive influx of visitors.
The state of Maine is also working with the MIT team to evaluate pedestrian movement across over 140 of its cities and towns. This initiative aims to identify areas where upgrades and safety improvements are most needed, promoting walkability and safety throughout the state.
Andres Sevtsuk expressed his hope that the New York City study will inspire other municipalities to invest in similar pedestrian modeling and mapping initiatives. "Very few cities make plans for pedestrian mobility or examine rigorously how future developments will impact foot-traffic," Sevtsuk stated. "But they can. Our models serve as a test bed for making future changes."
This research represents a critical step towards rebalancing urban planning priorities, shifting away from the 20th-century’s overwhelming focus on car-centric development towards a more pedestrian-friendly and sustainable urban future. By providing a clear, data-driven understanding of how people walk in cities, this MIT study equips urban planners with the essential tools to create more equitable, safe, and livable environments for all residents. The implications for decarbonizing cities and fostering healthier communities are profound, marking a new era in how we conceptualize and build our urban landscapes.
