Scientists propose four mechanisms explaining how crime opportunities evolve

In a theoretical article published in the journal Crime Science, Daniel Hammocks, Kate Bowers, Bennett Kleinberg and Shane D. Johnson propose a framework of four mechanisms, drawn from biological speciation theory and adapted to the cultural transmission of criminal behaviour. They call them the SUPA mechanisms: Space-Driven, Utility-Motivated, Pressure-Driven and Attraction-Led. The framework is conceptual rather than empirical, but the authors argue that it could give law enforcement agencies and crime prevention practitioners a structured vocabulary for horizon scanning, the practice of searching the environment for early signals of future change before new crime problems become established.

The starting point of the paper is a deceptively simple observation: completely new crime types very rarely materialise. The authors adopt a legal definition of crime and argue that the legal categories of theft, fraud and assault remain largely stable. What changes instead is the set of opportunities available and the methods by which those opportunities are exploited, the modus operandi, or MO, of the offence. Keyless car thefts that exploit vulnerabilities in passive entry systems are still car thefts, and child sexual abuse material generated with artificial intelligence is still child sexual abuse material. Large-scale crime trends, on this view, mostly reflect new methods of committing existing offences more easily or at greater scale, shaped by changes in the mechanisms and contexts of crime opportunity.

To build the framework, the authors borrow the four geographic modes of biological speciation categorised by the evolutionary biologist Ernst Mayr on the basis of Darwin’s work on natural selection: allopatric, sympatric, peripatric and parapatric speciation. In biology, these describe how new species emerge when populations become geographically isolated, split within a shared range, diverge from a peripherally isolated group, or form from adjacent populations with restricted interaction. The authors translate this environmental logic into crime science, where the occurrence of a crime event is understood to be determined in large part by the environment. Crucially, they adapt the biological model to cultural evolution: criminal methods spread through social learning, imitation and communication rather than genetic inheritance, meaning that innovations can diffuse through online and offline networks far faster than biological change unfolds across generations.

The first mechanism, Space-Driven, corresponds to allopatric speciation. Here, new crime opportunities arise from long-standing, typically exogenous geographic or environmental differences, where distinct contexts determine which methods of exploitation can succeed. The authors cite evidence from Crime Prevention through Environmental Design showing that the opportunities available to an offender vary with the geographical and topographical features of an environment. Their historical example is residential burglary: in parts of Florida where some properties sit beside rivers, offenders have approached homes from the rear by boat, while in suburban Britain offenders have used wheelie bins to climb over gates and fences. The crime type is identical in both cases; it is the environmental context that generates a different opportunity and therefore a different method.

The second mechanism, Utility-Motivated, parallels sympatric speciation and is distinctive in that the opportunity context itself remains stable. What changes is the internal environment: new tools, technologies or methods become available that let offenders exploit an existing context more effectively, at greater scale, or with reduced risk. The authors connect this to the rational choice perspective, in which offenders seek to reduce perceived risks and effort while maximising rewards, but add the role of learning and adaptation over time. Their example is vehicle theft in the United Kingdom, where offenders once used a long pole with a hook or magnet to reach through letterboxes and lift car keys from inside homes. When keyless entry systems appeared, offenders began using cheap electronic relay devices to capture wireless key fob signals, unlocking and starting cars without touching the keys. A second example traces phishing from the 1995 AOHell program through spoofed websites to targeted spear-phishing, each progression driven by new tools within the same context.

The third mechanism, Pressure-Driven, corresponds to peripatric speciation and involves forced change. Sudden shifts in the environment, whether through crime prevention measures, new legislation or significant external events such as pandemics, can isolate offenders from an existing opportunity context and push exploitation toward new ones. The authors relate this to the criminological concept of displacement, which can be tactical, temporal, spatial, offender-based or target-based, and note that Clarke and Bowers regard displacement as an offender-level process while adaptation is a population-level characteristic. Examples include the introduction of chip and PIN technology, which removed opportunities to use stolen cards in stores and pushed fraud toward online, card-not-present routes; the cross-border displacement of traffickers and sex workers after South Korea’s nationwide anti-trafficking measures; and smuggling tactics that shifted after customs reforms in the Philippines. The authors also describe a cascading pattern: British restrictions on cannabis introduced in 1928 eventually contributed to new opportunities in synthetic cannabinoids, which were themselves banned under the 2016 Psychoactive Substances Act, raising concerns about further shifts toward potentially more dangerous substances.

The fourth mechanism, Attraction-Led, corresponds to parapatric speciation and describes voluntary migration. Offenders elect to move into an adjacent opportunity context, distinct from the one in which the original opportunity was exploited. The key distinction from the utility-motivated mechanism is that the origin of the change is entirely voluntary and involves a measurable move into a different context rather than innovation within an existing one. The authors’ example is the voluntary transition from physical exchanges to cyber markets for the sale of illicit substances, services, information and objects, which can reduce the risk taken by an offender. They note that such migration need not always run toward the digital: so-called wrench attacks involve the physical threat or use of violence to steal or gain access to cryptocurrency wallets, bypassing digital security measures that do not apply in the physical realm. At the time of writing in November 2025, one such incident reportedly resulted in the theft of 11 million dollars.

An important feature of the framework is that a single crime type can pass through several mechanisms in sequence. The authors show how electronic immobilisers represented a pressure-driven change that forced vehicle thieves away from stealing cars directly and toward stealing keys through letterboxes; the later arrival of keyless entry systems then enabled a utility-motivated evolution toward relay attacks within the same context. Fraud shows a similar trajectory, with in-person charity scams migrating online in an attraction-led shift offering greater scale and reduced risk, followed by utility-motivated diversification into phishing, romance scams and advance-fee fraud. The authors also acknowledge outcomes the framework must accommodate beyond displacement: citing earlier work, they note that crime forms can become entirely obsolete when the conditions sustaining them disappear, so extinction of an opportunity is a possible result of pressure rather than inevitable relocation.

Because the framework is theoretical, its practical value depends on measurement, and the authors identify modus operandi as the empirical unit through which realised opportunity evolution can be observed. They trace MO recording back to Atcherley’s 1913 classification of offending behaviour into ten components, note that derivatives are still used in UK police training under the mnemonic STOP CRIMES, and point out that the national crime recording standard requires MO to be included in police crime reports. They argue that novelty matters only if it is sustainable: short-lived deviations that do not persist are not evidence of opportunity evolution, whereas changes that take hold signal a genuine shift in the underlying opportunity structure. Detecting such signals at scale, they concede, will require systems capable of automatically extracting MO attributes from free-text crime records, which do not yet exist.

The authors are candid about the limitations of their approach. They have deliberately adapted a biological evolutionary framework to a cultural phenomenon, and they acknowledge that opportunities are not purely environmental but emerge from interactions between contexts and offender resources, including tools, skills, knowledge and goals. A new opportunity context may exist but remain unexploited if offenders lack the resources to use it, while newly acquired resources can activate opportunities that had gone unrealised. They also distinguish future crime from future crime opportunity, noting that opportunities can exist before any crime is realised, and that horizon scanning for unrealised opportunities may require methods beyond crime record analysis, such as red-teaming and expert elicitation. As a conceptual contribution, the SUPA framework does not demonstrate how often each mechanism operates; rather, it offers researchers and practitioners a structured way to classify how new crime opportunities emerge, and a starting point for anticipating them before they become established problems.

Subject of Research: A proposed four-mechanism framework for how crime opportunities evolve, adapted from biological speciation theory

Article Title: The SUPA mechanisms of crime opportunity evolution

Article References: Hammocks, D., Bowers, K., Kleinberg, B., & Johnson, S. D. (2026). The SUPA mechanisms of crime opportunity evolution. Crime Science, 15(1), Article 41. https://doi.org/10.1186/s40163-026-00300-1

Image Credits: AI Generated

DOI: 10.1186/s40163-026-00300-1

Keywords: crime science, crime opportunity, modus operandi, speciation, horizon scanning, situational crime prevention, rational choice, displacement, vehicle theft, phishing, cybercrime, theoretical framework