Showing posts with label crime patterns. Show all posts
Showing posts with label crime patterns. Show all posts

Saturday, February 28, 2026

What a high-profile abduction might teach us about neighborhood design

The saguaro cactus surrounds the Catalina foothills where the
Nancy Guthrie abduction took place 
Photo by By Tyrv, CC BY-SA 4.0 Wiki Commons


by Gregory Saville

The American news has been filled with the tragic, and as yet unsolved, story of Nancy Guthrie, the 84-year-old mother of NBC Today co-anchor Savannah Guthrie, believed to have been abducted in the early morning hours of February 1, from her home in the Catalina foothills near Tucson, Arizona. Doorbell camera footage shows a masked, armed individual on her front porch the night she vanished. Despite an intensive police investigation, no suspect has yet been identified and Nancy remains missing. 

Naturally, this story has sparked widespread public concern and last week I was contacted by a reporter working on what has now become a national story. Why were there not more cameras? Why was there no gate? Does living in a high-end neighborhood provide less protection than we assume?

These questions surface every time crime touches an affluent enclave. The underlying belief is that wealth and spacious design should produce security. When that belief collapses, the impulse is to fortify. The truth is that crime is not confined to one income bracket. Crime opportunity, however, is not evenly distributed and social conditions with environmental structure shape when and where those opportunities arise. 


The Catalina foothills residential area near Tucson, Arizona. Sprawling properties, winding roads, privacy and separation - photo Google Earth screenshot


The problem is not the absence of cameras. That is a misunderstanding of how safety works. Crime prevention is not about recording or repelling after the fact. Safety emerges from neighborhood social conditions and from routine patterns of daily life in walkable and friendly settings. This is about urban design and neighborhood life, not about adding more gadgets.

 

ARCHITECTURES-OF-SEPARATION 

Over the years, I have visited the Catalina Foothills of Tucson, a place where residential privacy and separation are set within that high desert landscape covered with the magnificent saguaro cactus. 

Property lots are large, homes sit far apart, vegetation and terrain interrupt sightlines, and routine walking is rare aside from hikers with backpacks. Residents move between home and vehicle, vehicle and arterial road, rarely intersecting in shared public space. These conditions reduce routine visibility. In targeted crimes, offenders often study locations in advance and select environments where access is straightforward and routine activity is predictable. 


Residential style in the Catalina foothills, with a police"Neighborhood Watch" crime prevention sign - photo Google Earth street view screenshot


For example, in 2019 I wrote a chapter in a forensic science text called offender target selection and spatial forensics describing how crime locations follow offender decisions about where social and physical opportunities are most favorable. 

Those patterns show up in criminologist (and former SafeGrowth blogger) Martin Andressen’s book Environmental Criminology: Evolution, Theory, and Practice. They show up in crime analyst Deborah Osborne’s forthcoming revised edition of Elements of Crime Patterns. Clearly, this is not new knowledge. We have understood crime pattern theory for years. 

The theory does not resolve the full picture of crime, but it begins to help us understand why crimes occur in some places and not others. 

When high-profile crimes like the Guthrie abduction occur, the public impulse often turns toward techno-solutions. People imagine that adding cameras, fences, and other architectures-of-separation close the gap between vulnerability and safety. But decades of research in urban studies and in criminology, particularly by criminologists like Robert Sampson, suggest that heavy reliance on fortification can weaken everyday interaction and informal oversight.


Cell phone addiction - digital connection but personal isolation 
Photo Andi Graf, CC0, via Wiki Commons

We do not need more fragmentation in social life. We already live in a time of cell-phone addictions and reduced face-to-face interaction. Design choices that further fragment daily contact risk weakening the informal neighborhood awareness that helps prevent crime.


A NEW PATTERN

There is a different pattern that is rooted in active neighborhoods where people routinely see one another and recognize what is usual and what is not. Environments that support casual interaction, visible frontages, walkable connections, and shared local spaces create conditions where unusual events become conspicuous rather than concealed. 

In such contexts, residents are more likely to notice something out of place, to recognize a pattern that does not fit, and to raise an alarm. In the Guthrie case, some elements of that pattern did exist since a neighbor noticed a “suspicious man” near her home a few weeks before the abduction, but did not report that until after the crime. 


There are many ways to design residential living where a sense of connection
aligns with beautiful topography

Why would someone related to a national celebrity choose a different kind of residential neighborhood with more people, especially when recognition can bring intrusion. A mother may not want to be approached about her daughter’s latest broadcast or asked for donations. That is entirely understandable. 

But, there is another way to think about this. Our upcoming book, Hope Rises, on the social ecology of safety, elaborates on how communities and designers can build environments that support everyday awareness and prevention long before any technology is needed. There are places where this balance already exists in both rural and urban places. Consider an urban example with famous actors like Robert DeNiro in the same neighborhood where Jane Jacobs wrote Death and Life of Great American Cities over 60 years ago. 


BALANCE ALREADY EXISTS   

In parts of New York’s Greenwich Village and Tribeca, residents like actor Robert De Niro live not behind isolated compounds but within dense streets where shopkeepers, doormen, and neighbors recognize the everyday rhythm of the block. That familiarity does not eliminate privacy. Instead it creates a quiet form of guardianship. People know when something does not belong, and that awareness becomes its own protective layer. 

In a connected neighborhood, familiarity can create a protective buffer around even the most famous residents. People may respect boundaries, but they also notice when something does not fit the usual rhythm of the street.

Too often, more cameras, higher gates, private patrols, and eventually automated AI surveillance systems become the default solution. Such solutions are already dominant in gated suburbs across the world. The long-term effect is not only financial cost but social fragmentation. As we retreat further behind walls, everyday familiarity declines and trust erodes. Quality of life narrows.

When crime like this touches a community, questions about cameras and fortification are natural. But the deeper conversation is about how we arrange our environments so that privacy can coexist with oversight, so that homes are part of a living neighborhood rather than isolated estates, and so that safety emerges from connection as much as from precaution. Until then, we hope Nancy Guthrie returns safe and sound. 


Friday, September 22, 2023

Elements of Crime Patterns - A review of a breakthrough

Deborah Osborne's new book, Elements in Crime Patterns, delivers a long-overdue typology for crime investigators, researchers, and prevention specialists

By Gregory Saville

When you think of the study of crime and its prevention, perhaps you imagine that, after a century of criminology, elementary crime patterns are well understood in the academic literature. You would be mistaken! True, we do know plenty about some crime types, as well as the geographical patterns of crime events. But studies about the actual patterns of offenders and offenses are seldom collated together into a coherent, practical dictionary of elementary crime patterns – what scientists call typologies.

For example, in biological science Scottish botanist Patrick Matthews outlined the entire theory of natural selection after years of classifying different types of trees into a typology. Thirty years later that led others, like Charles Darwin, to build more classifications (and claim the theory as his own). Darwin’s bird typologies from the Galapagos Islands, along with Matthews's original work, eventually led to one of the most powerful theories in science – the evolutionary theory of natural selection. 

This method of constructing elementary typologies is so well understood by historians that it usually stands as the introductory chapter on virtually every book about the history of science. 

Crime science, by comparison, has barely scratched the surface of this type of basic typology. This is an alarming fact since that is how robust theories of explanation and prediction emerge in the first place. It is almost like crime science got ahead of itself and developed theories without the essential first steps of theory building. 

Until now!


PRACTITIONER-BUILT TYPOLOGIES

Deborah Osborne is an author, retired U.S. Secret Service intelligence analyst, retired crime analyst with the Buffalo police, and former co-chair of the International Association of Crime Analysts. She is also one of my former students from a short crime mapping and analysis course I ran out of our research center at the University of New Haven 20 years ago. To be clear, by the time she took our training, Osborne was already an established crime analyst with considerable experience. 

This week Osborne published her book Elements of Crime Patterns.

I was excited to read her book, especially when I learned that she used a form of AI – ChatGPT – to help her collect data. To my knowledge, Osborne’s book is the first published criminological work to tap into the power of AI as a tool to build a robust database for a criminological text. That itself is an achievement. 


Scientific theories emerge from detailed observations and typologies


CONTEXT IS CRUCIAL

Elements of Crime Patterns is a field guide to identifying crime patterns, a practical toolkit that offers “the kind of knowledge about the crime pattern domain that is learned only on the job through experience” (p. 310). In other words, this is (finally!) the kind of fundamental scientific research that normally precedes theories and prevention programs. 

Osborne’s approach is not to provide explanations or theories accounting for where and why something happens. She takes another tack:

“The solution to crime pattern detection cannot be solely data driven. The informal exchanges of information through conversations, explorations, and intuitive perceptions are crucial in investigative casework, but researchers and policymakers often do not acknowledge this. It is important to understand that conversations between law enforcement staff are [the means by which] some crime patterns get recognized, especially those involving separate records system in other jurisdictions…Context is crucial.” (page 21)

 

Crime patterns in criminology are often associated with geographic maps of crime hotspots -
there are many other equally useful patterns 


TYPOLOGIES OF CRIME

I did have a few issues with the book. It could use an index and a bibliography (although to be fair, each chapter had endnotes with some references). I was also not as keen on a few earlier chapters on lifestyle, tools and equipment, and routine activities compared to later chapters. Those earlier topics seemed to me too generic and all-encompassing to be of much value in analysis. The routine activity theory has been criticized as an untestable theory and as suggested by criminologist Michael Sutton, wrong.  

Those points pale in comparison to the impressive 30 chapters on specific crime types. She includes robbery, counterfeiting, sexual assault, murder, drugs, human trafficking, hate crimes, and vehicle crimes, among others. There are also surprises with crimes that make only rare appearances in the criminological literature – wildlife and forest crimes, cultural property crimes, and intellectual property crimes. 

The patterns she identifies include methods of different crimes, offender planning and target selection, the aftermath of crimes, and factors that influence crime opportunities. CPTED practitioners should take note there is an especially succinct summary of the opportunity factors that contribute to crime conditions. I wish I had access to information like this long ago in my crime prevention and investigation career. It would have made the work so much easier.

This book is a breakthrough for the science of crime and prevention and for the criminological enterprise – both academic and practitioner. Osborne has made a contribution of considerable weight. This is a book you should read.