A digital processing system for assessing the resilience of cities

Abstract

A digital processing system for assessing urban resilience, consisting of: a central server, equipped with a multi-core processor and dedicated storage units; a relational database management system connected to the aforementioned centralization server and configured to store spatial geodata, demographic datasets, historical hazard events, land use datasets, building inventory, infrastructure systems, government policies, and stakeholder information; a geodata processing module that is operated via the multi-core processor and has mapping and spatial analysis functions; a vulnerability calculation engine that runs on the multi-core processor and is configured to calculate sensitivity and exposure indices; an adaptive capacity assessment engine that runs on the multi-core processor and is configured to assess coping and adaptation mechanisms; an urban planning attribute analyzer that is powered by the aforementioned multi-core processor and configured to process data on land use diversity, infrastructure robustness, and resource decentralization; a governance assessment module that runs on the multi-core processor and is configured to assess institutional frameworks and stakeholder engagement mechanisms; an integration and synthesis engine connected to the central server and configured to correlate data from the aforementioned modules and to take into account the five Ws of urban resilience; and a reporting and visualization module integrated into a user interface configured to display assessment results, recommendations, and interactive maps.

Description

AREA OF INVENTION

[0001] This disclosure relates to a digital processing system for assessing the resilience of cities. More specifically, it is a system that integrates spatial data analysis, demographic information processing, infrastructure assessment, and governance evaluation to quantify vulnerability levels, adaptive capacities, and urban characteristics, thereby generating resilience recommendations and adaptive management strategies for urban settlements. BACKGROUND OF THE INVENTION

[0002] Modern urban centers are increasingly exposed to risks from climate-related natural disasters and anthropogenic hazards. This situation is exacerbated by uncontrolled urbanization, which concentrates the population in confined spaces, thereby increasing vulnerability to shocks and sustained stress. Population growth, economic instability, and socio-political factors have amplified threats to urban infrastructure and necessitated the development of systems that can assess and strengthen urban resilience. While urban planning typically addresses the physical aspects of urban development through land use and resource management, existing approaches lack sufficient integration into comprehensive resilience concepts that consider social, environmental, and infrastructural dimensions.

[0003] Current methods fail to establish substantial links between urban features (such as density, urban structure, transport corridors, and utility networks) and resilience capacities (such as diversity, flexibility, and adaptation mechanisms). This discrepancy leads to urban development strategies that inadequately address vulnerability reduction and adaptive capacity enhancement. A computer-based system that translates abstract resilience concepts into concrete, quantifiable planning measures would enable urban planners, resource managers, and administrative institutions to systematically assess vulnerability factors, analyze adaptation and coping capacities, evaluate urban configurations, and conduct integrated assessments of administrative structures.

[0004] The present invention provides a system that performs vulnerability analyses, adaptability assessments, urban feature analyses, and governance framework evaluations within a unified computer system. This system enables the systematic identification of vulnerable populations and areas, the assessment of existing resilience mechanisms, the evaluation of planning-based interventions, and the generation of context-specific recommendations for reducing vulnerability and strengthening urban resilience. By linking urban features with resilience theory, the system facilitates the operationalization of resilience concepts for practical application in spatial planning, resource allocation planning, hazard mitigation planning, and policymaking in urban settlements. SUMMARY OF THE INVENTION

[0005] This disclosure relates to a digital processing system for assessing urban resilience. The system is configured to evaluate and strengthen urban resilience through an integrated analysis of vulnerability, adaptability, urban characteristics, and governance structures. It processes spatial, demographic, hazard-related, infrastructural, and institutional data to generate quantified resilience assessments and context-specific recommendations for urban settlements. By operationalizing resilience theory into technical functions, the system bridges the conceptual gap between frameworks for urban resilience and practical planning applications.

[0006] This disclosure relates to a digital processing system for assessing the resilience of cities. The system comprises: a central server with a multi-core processor and dedicated storage units; a relational database management system connected to the central server and configured to store geospatial data, demographic data, historical hazard events, land use data, building inventory, infrastructure systems, administrative policies, and stakeholder information; a geospatial data processing module running on the multi-core processor and providing mapping and spatial analysis capabilities; and a vulnerability calculation engine running on the multi-core processor and configured to calculate sensitivity and exposure indices.an adaptation capacity assessment engine, running on the multi-core processor and configured to assess coping and adaptation mechanisms; an urban planning attribute analyzer, running on the multi-core processor and configured to process data on land use diversity, infrastructure robustness, and resource decentralization; a governance assessment module, running on the multi-core processor and configured to assess institutional frameworks and stakeholder engagement mechanisms; an integration and synthesis engine, connected to the central server and configured to correlate data from the aforementioned modules and address the five Ws of urban resilience; and a reporting and visualization module integrated into a user interface configured to display assessment results, recommendations, and interactive maps.

[0007] The subject of this disclosure is the provision of a digital processing system for assessing urban resilience.

[0008] Another objective of this disclosure is to provide a framework that brings together heterogeneous data sources (spatial, demographic, hazard records, infrastructure systems, governance policies) into a unified platform for assessing urban resilience, thus enabling a systematic analysis of vulnerability and adaptability across multiple urban areas.

[0009] Another objective of the present disclosure is the quantification and mapping of urban vulnerability by processing system sensitivity and exposure factors across geographical zones, determining the spatial distribution of vulnerable populations, and generating vulnerability profiles that enable prioritized resilience measures.

[0010] Another objective of this disclosure is to assess the effectiveness of governance and planning by evaluating institutional decision-making structures, stakeholder engagement mechanisms, urban planning features (multifunctionality, diversity, decentralization) and their collective influence on urban resilience outcomes.

[0011] However, another objective of this disclosure is to generate actionable and evidence-based recommendations that link resilience theory with practical interventions in land-use planning, infrastructure investment, governance reform, and adaptive management cycles to enable urban planners and policymakers to implement targeted strategies to strengthen resilience.

[0012] To further clarify the advantages and features of the present disclosure, the invention is described in more detail with reference to specific embodiments illustrated in the accompanying drawing. It is understood that this drawing merely shows typical embodiments of the invention and is therefore not to be understood as limiting its scope of protection. The invention is described and explained in more detail and with reference to the accompanying drawing. BRIEF DESCRIPTION OF THE IMAGE

[0013] These and other features, aspects and advantages of the present disclosure will be better understood when the following detailed description is read with reference to the accompanying drawing, in which the same symbols represent the same parts, wherein: Fig. Figure 1 shows a block diagram of a digital processing system for assessing urban resilience according to an embodiment of the present disclosure.

[0014] Furthermore, those skilled in the art will recognize that the elements in the drawing are simplified and not necessarily drawn to scale. For example, the flowcharts illustrate the process by highlighting the main steps to facilitate understanding of the present disclosure. With regard to the construction of the device, one or more components may be represented in the drawing by conventional symbols. The drawing may show only the specific details relevant to understanding the embodiments of the present disclosure, so as not to clutter the drawing with details that are already apparent to those skilled in the art from the description contained herein. DETAILED DESCRIPTION:

[0015] To facilitate understanding of the principles of the invention, reference is made below to the embodiment shown in the drawing, which is described using specific terms. It is understood, however, that this does not limit the scope of protection of the invention. Rather, modifications and further developments of the depicted system, as well as further applications of the inventive principles shown therein, are conceivable, insofar as they would normally occur to a person skilled in the art in the field of the invention.

[0016] It will be clear to those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not to be understood as a limitation of it.

[0017] References to “an aspect”, “another aspect”, or similar phrases in this description mean that a particular feature, structure, or property described in connection with the embodiment is included in at least one embodiment of the present disclosure. Therefore, phrases such as “in one embodiment”, “in another embodiment”, and similar expressions in this description may, but do not necessarily, all refer to the same embodiment.

[0018] The terms "includes," "comprehensive," or similar expressions denote non-exclusive inclusion. Thus, a procedure or method containing a list of steps does not only include those steps but may also include further steps not explicitly listed or inherent in the procedure or method. Likewise, the statement "includes..." for one or more devices, subsystems, elements, structures, or components, without further limitations, does not preclude the existence of other devices, subsystems, elements, structures, or components.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meanings generally known to those skilled in the art in the field to which this invention belongs. The systems, methods, and examples described herein serve only for illustration and are not to be understood as limiting.

[0020] Embodiments of the present disclosure are described in detail below with reference to the attached drawing.

[0021] Fig. Figure 1 shows a block diagram of a digital processing system for assessing urban resilience according to an embodiment of the present disclosure.

[0022] The system (100) according to Fig.1 comprises: a central server (102) with a multi-core processor (104) and dedicated storage units (106); a relational database management system (108) connected to the central server (102) and configured to store geospatial data, demographic data, historical hazard events, land use data, building inventory, infrastructure systems, management policies, and stakeholder information; a geospatial data processing module (110) operated by the multi-core processor (104) and featuring mapping and spatial analysis capabilities; a vulnerability calculation engine (112) operated by the multi-core processor (104) and configured to calculate sensitivity and exposure indices; and an adaptive capacity assessment engine (114) operated by the multi-core processor (104) and configured to evaluate coping and adaptation mechanisms.An urban planning attribute analyzer (116) operated via the multi-core processor (104) and configured to process data on land use diversity, infrastructure robustness, and resource decentralization; a governance assessment module (118), also operated via the multi-core processor (104), configured to assess institutional frameworks and stakeholder engagement mechanisms; an integration and synthesis engine (120) connected to the central server (102) and configured to correlate data from the aforementioned modules and to consider the five Ws of urban resilience; and a reporting and visualization module (122) integrated into a user interface (124) configured to display assessment results, recommendations, and interactive maps.

[0023] In one embodiment, the relational database management system (108) further comprises: a spatial index layer for efficient geodata queries; a temporal data structure for storing historical hazard records and urban development trajectories; a normalized schema with tables for vulnerable population groups, properties, infrastructure nodes and administrative units; query optimization mechanisms for real-time data retrieval and analysis.

[0024] In one embodiment, the vulnerability calculation engine (112) is further configured to: retrieve spatial and demographic data from the database; calculate exposure metrics based on population density and proximity to hazards; calculate sensitivity indices using socioeconomic variables such as income level, education, and housing conditions; generate vulnerability heatmaps showing the geographic distribution of risk zones; and classify areas as highly, medium, or low vulnerable based on combined sensitivity and exposure values.

[0025] In one embodiment, the adaptive capacity assessment engine (114) is further configured to: assess the redundancy of the infrastructure and decentralized service systems; assess alternative resource supply mechanisms including water, energy and waste disposal networks; calculate capacity indices based on past community responses and existing adaptation strategies; determine the planned lifetime and maintenance status of the infrastructure; and rank adaptive mechanisms according to effectiveness and availability.

[0026] In one embodiment, the urban planning attribute analyzer (116) is further configured to: evaluate multifunctionality values ​​of urban land by mapping ecosystem services; evaluate functional diversity indices across neighborhoods and districts; calculate the proportion of green space coverage and biodiversity metrics; analyze decentralization rates for critical infrastructure systems; measure the entropy of land-use mix, which indicates planning flexibility.

[0027] In one embodiment, the governance assessment module (118) is further configured to: map institutional hierarchies and decision-making structures; assess stakeholder participation at individual, municipal, city and regional governance levels; evaluate transparency metrics by tracking policy accessibility and implementation; assess equity indicators across different socioeconomic population groups; and analyze policy coordination between national, regional and local governance levels.

[0028] In one embodiment, the integration and synthesis engine (120) is further configured to: determine correlation coefficients between vulnerability reduction and adaptive capacity improvement; generate resilience scores that synthesize vulnerability and adaptive capacity factors; link datasets to answer the five W's: "Who" through demographic distribution and stakeholder mapping; "What" through hazard and risk identification and classification; "When" through temporal trend analysis and future forecasting modeling; "Where" through spatial vulnerability mapping and zone classification; "Why" through root cause analysis that links vulnerabilities to planning and governance gaps; and produce a summary report on an urban resilience framework.

[0029] In one embodiment, the reporting and visualization module (122) is further configured to: generate context-specific action plans that recommend changes to land-use planning; propose priorities for infrastructure investments ordered according to their impact on resilience; propose governance reforms that address stakeholder engagement and transparency gaps; create scenario comparison matrices that show the outcomes of alternative interventions; and format the expenditures for use by urban planners, policymakers, and government institutions.

[0030] In one embodiment, the user interface (124) further comprises: interactive geodata mapping tools for displaying hazard zones, infrastructure networks and administrative boundaries; dashboard panels with key resilience metrics, vulnerability indices and adaptability scores; filter mechanisms for analysis by hazard type, geographic zone or socioeconomic demographics; data export modules for generating detailed reports and recommendations; real-time update indicators that show the database update status and the timeliness of the data.

[0031] In one embodiment, the multi-core processor (104) is further configured to: continuously acquire real-time data on hazard events and infrastructure status updates; execute scheduled algorithms for resilience reassessment at predefined intervals; identify maladaptive development patterns through trend deviation analysis; track progress metrics toward resilience targets across multiple assessment cycles; generate alerts when vulnerability thresholds are exceeded or indicators of adaptability decrease; and support adaptive management workflows that include the phases of pre-planning, planning, action development, implementation, and evaluation.

[0032] The present invention relates to a digital processing system for operationalizing the assessment of urban resilience by means of an integrated technical architecture. The system comprises a central processor, a relational database, and specialized computing modules for analyzing vulnerability (using sensitivity and exposure metrics), adaptive coping capacity (through infrastructure and community analysis), urban characteristics (through land use and resource analysis), and governance structures (through institutional and stakeholder assessment). The system answers the fundamental questions of urban resilience—who, what, when, where, and why—by correlating data from various domains and integrating the results into a comprehensive resilience framework.The processor calculates resilience scores, identifies discrepancies between the current state and resilience targets, projects future urban development scenarios, and generates context-specific recommendations for vulnerability reduction and capacity expansion. The user interface displays vulnerability maps, resilience metrics, and recommendations, organized by planning and governance areas. The system supports continuous monitoring through real-time data collection and scheduled reassessment algorithms, enabling adaptive management and tracking of progress toward resilience targets across multiple assessment cycles.

[0033] The digital processing system for assessing urban resilience is designed to establish comprehensive links between urban resilience concepts and planning regimes through the systematic evaluation of five fundamental dimensions: Who, What, When, Where, and Why. The system integrates complex knowledge from the fields of urban resilience and urban planning through coordinated data processing, analysis, and synthesis mechanisms operated by a central computing infrastructure.

[0034] In one embodiment, the system is configured to operationalize vulnerability analysis as a fundamental component, addressing the central question of resilience against specific hazards or threats. Vulnerabilities within the system are calculated as a function of system sensitivity, which represents the degree of vulnerability to spatial areas and their associated populations, and exposure, which indicates what or who is at risk. The vulnerability calculation engine processes spatial and demographic data from the relational database management system to identify vulnerable units requiring priority action. The system's vulnerability analysis considers spatial and socioeconomic variables that determine the nature, intensity, and distribution patterns of hazards.The geodata processing module maps vulnerabilities in spatial formats, enabling the system to link spatial areas, potentially affected groups, and the extent of potential threats. The vulnerability calculation engine generates spatial vulnerability distributions that reflect demographic characteristics and the proximity of hazards, and classifies the assessed areas into categories of high, medium, and low vulnerability density. The relational database management system manages comprehensive datasets on hazard events, demographic distributions, land-use patterns, and building inventories, which serve as input data for the vulnerability calculations. The system processes land and occupant data as primary entities, using planning attributes to evaluate current and projected future states through trend forecasting.Vulnerability assessment considers conditions arising from the impacts of urbanization, including high urban population growth, rapid and uncontrolled development on unsuitable or unsafe land, weak regulatory frameworks, and inadequate resource management, all of which increase the vulnerability of built environments. Quantifying uncertainties is a central function of vulnerability assessment. The system captures uncertainties through scenario-mapping mechanisms that project urban land-use changes and settlement profiles over different time periods, integrating historical knowledge of past disturbances and population responses. The system also assesses exposure metrics that represent the degree, duration, and extent to which urban systems are exposed to disturbances and hazards.Furthermore, the system assesses informal structures and structural deficiencies in urban organization by analyzing building organization patterns and settlement structures. The integration and synthesis engine correlates vulnerability assessments with planning gaps and governance deficits identified by other analysis modules, thus establishing links between the manifestation of vulnerability and its causes in the planning and governance domain.

[0035] In one embodiment, the adaptive capacity assessment engine evaluates dynamic, community-influencing processes that support resilience as a continuum. The system conceptualizes adaptive capacity as the development and implementation of alternative strategies for coping with shocks and stresses, enabling considered and planned decisions based on an awareness of altered or changing conditions. The adaptive capacity assessment engine evaluates alternative resource delivery mechanisms, including decentralized provisioning of critical services such as water, energy, and waste management networks. The system ranks adaptive mechanisms according to effectiveness and availability and calculates capacity indices based on historical community response patterns and existing adaptation strategies.The system assesses infrastructure redundancy and decentralized service configurations that enhance coping capabilities. Infrastructure resilience assessments performed by the adaptive capacity assessment engine identify infrastructure design specifications, lifetime considerations, and maintenance status to evaluate system redundancy. The system assesses the ability of people, organizations, and urban systems to utilize available capabilities and resources to address and manage adverse conditions, emergencies, and disasters by evaluating existing coping mechanisms. The temporal dimension of adaptability and coping capability is operationalized by assessing the lifetime and sustainable functionality of infrastructure over extended periods. The system integrates planning horizons of decades or more to evaluate infrastructure resilience.This approach takes into account that an infrastructure designed for continuous operation over long periods increases system resilience by reducing the probability of failure under stress events. The multi-core processor executes adaptive management workflows that include pre-planning, planning, action development, implementation, and evaluation, establishing time structures within the framework of adaptability.

[0036] In one embodiment, the urban planning attribute analyzer processes spatial efficiency and multifunctionality characteristics by mapping ecosystem services and assessing functional diversity. The system evaluates the multifunctionality of urban land parcels and assesses the provision of diverse ecosystem services as well as the potential for diversified use within limited spatial areas. The analyzer calculates functional diversity indices for neighborhoods and districts, thus enabling the identification of spatial efficiency and redundancy patterns in services. The system processes green infrastructure and biodiversity indicators using the urban planning attribute analyzer and quantifies the proportion of green infrastructure and ecosystem diversity characteristics.The analyzer calculates degrees of decentralization for critical infrastructure systems and measures the extent to which essential services depend on centralized versus decentralized resource supply networks. The system measures the entropy of land-use mix as an indicator of planning flexibility and records the degree to which urban planning considers diverse land-use combinations and adaptive uses. The urban planning attribute analyzer evaluates planning measures that address uncertainties by integrating diverse knowledge to support contingency and planning processes. The system processes data that reflects flexible, diverse, and context-sensitive planning responses and offers alternatives for uncertain future conditions.The analyzer evaluates planning mechanisms that reduce dependence on specific land-use facilities through multifunctional concepts and modular approaches with redundant, decentralized infrastructure elements. The system operationalizes the spatial management of urban uncertainties through comprehensive land-use analyses and zoning regulations. The urban planning attribute analyzer processes information on development constraints in high-risk areas, integrates resilience assessments into ongoing planning processes, and identifies inappropriate development patterns that exacerbate risks. The analyzer assesses planning at the regional, local, and sectoral levels to evaluate the principles of flexibility and diversity embedded in the planning frameworks.

[0037] In one implementation, the governance assessment module evaluates institutional frameworks, decision-making structures, and stakeholder engagement mechanisms that define the "who" dimension of urban resilience. The system maps institutional hierarchies and decision-making structures across different levels of government and organizations. The governance assessment module evaluates stakeholder engagement at the individual, local, city, and regional levels and quantifies the intensity of engagement across different levels of government. The system assesses transparency metrics by analyzing policy accessibility and the ability to track their implementation, and by evaluating institutional openness and the availability of public information.The governance assessment module analyzes the alignment of policies between national, regional, and local governance levels and identifies consistency and coherence within policy frameworks across jurisdictional boundaries. The system assesses indicators of equity across different socioeconomic populations and examines whether resilience resources and adjustment burdens are distributed equitably. The governance assessment module processes information on institutional capacity to build transformative capacities to manage uncertainty and change. The system evaluates decentralized governance configurations that are transparent, accountable, flexible, and inclusive, and assesses the extent to which decision-making processes involve all stakeholders.This module quantifies citizen participation in policy formulation and implementation at all stages of adaptation planning and measures stakeholder engagement in the pre-planning, planning, policy development, implementation, and evaluation phases. The system operationalizes the coordination of governance measures at various levels by assessing stakeholder participation at the individual, municipal, city, and regional levels. The governance evaluation module assesses institutional mechanisms that support participatory planning processes and identifies capacity gaps resulting from weak governance frameworks. The system evaluates institutional responsiveness to vulnerable populations and community preferences in policy formulation and implementation processes.The governance assessment module evaluates measures to promote socio-ecological justice, a fair distribution of resources to strengthen resilience, and participatory frameworks to reduce social inequalities. The system processes information on health systems, poverty reduction mechanisms, social justice measures, employment opportunities, ecosystem balance, education systems, and comprehensive service provision that supports equitable urban development. The module quantifies the extent to which governance frameworks close the gaps between resilience needs and the resources provided to communities.

[0038] In one embodiment, the integration and synthesis engine correlates data from all analysis modules to enable a comprehensive understanding of urban resilience by synthesizing vulnerability and adaptability factors. The system determines correlation coefficients between the outcomes of vulnerability reduction and adaptability improvement and quantifies the relationships between interventions in different areas. The engine generates composite resilience scores by combining vulnerability indices, adaptability metrics, and planning attribute assessments into unified resilience scores. The integration and synthesis engine links datasets to capture the five fundamental dimensions of urban resilience.The "Who" dimension is operationalized through demographic distribution maps and the identification of stakeholder groups, thereby establishing spatial and institutional links to populations requiring priority resilience measures. The "What" dimension addresses hazard identification and risk classification, using the vulnerability calculation engine to determine the specific threats and risks to which urban systems are exposed. The "When" dimension integrates the analysis of temporal trends and the modeling of future developments, establishing time-based components of resilience planning, including past disruption responses and expected future conditions. The "Where" dimension is operationalized through spatial vulnerability mapping and zone classification. This creates geographic specificity for resilience assessment and enables location-based intervention planning.The "why" dimension is addressed through root cause analyses that link identified vulnerabilities to underlying planning and governance gaps, establishing causal relationships between observed vulnerability manifestations and their institutional or spatial origins. The integration and synthesis engine generates comprehensive reports on urban resilience frameworks, summarizing the findings from all analytical dimensions. The system identifies maladaptive development patterns through trend deviation analyses and recognizes urban development trajectories that exacerbate rather than reduce vulnerability or adaptability. The engine establishes connections between urban design features, governance mechanisms, vulnerability reduction, and resilience enhancement, thereby creating integrated assessment frameworks.

[0039] In one implementation, the reporting and visualization module generates context-specific action plans and recommendations tailored to identified vulnerabilities, planning gaps, and governance deficits. The system recommends changes to land-use planning to address spatial vulnerability patterns and reduce exposure to identified hazards. The reporting module proposes priorities for infrastructure investments, ranked by quantified resilience impact, thus enabling optimized resource allocation for interventions with the highest impact. The system proposes governance reforms that address gaps in stakeholder engagement, transparency deficits, and equity issues identified through governance assessments.The reporting and visualization module generates scenario comparison matrices that present the outcomes of alternative intervention strategies, enabling decision-makers to compare the effectiveness of different resilience-building approaches. The system formats outputs for use by urban planners, policymakers, and governance institutions, adapting presentation formats to user requirements and institutional contexts. The user interface integrates interactive geospatial mapping tools that depict vulnerability zones, infrastructure networks, governance boundaries, and spatial planning attributes. Dashboard panels within the interface present key resilience metrics, vulnerability indices, adaptability scores, and assessments of planning attributes.The system offers filtering mechanisms that enable analyses based on hazard type, geographic zone, socioeconomic and demographic characteristics, and other categories. The reporting and visualization module includes a data export function that supports the creation of detailed assessment reports and recommendations in formats suitable for institutional use and documentation.

[0040] In one embodiment, the multi-core processor continuously collects real-time data on hazard events and infrastructure status updates in the relational database management system, thus maintaining up-to-date system status information. The system executes scheduled resilience reassessment algorithms at predefined intervals, enabling the regular evaluation of urban resilience status and the identification of trends across multiple assessment cycles. The processor tracks progress metrics toward resilience goals across these cycles and quantifies progress toward achieving resilience improvement objectives. The system generates alerts when vulnerability thresholds are exceeded or adaptability indicators decline, providing early warning of potential resilience deterioration.The real-time update indicators in the user interface display the database update status and data freshness, informing users about the information's currency and system status. The multi-core processor supports adaptive management workflows encompassing the phases of pre-planning, planning, action development, implementation, and evaluation, thus enabling iterative processes for improving resilience.

[0041] The proposed digital processing system integrates vulnerability analysis, adaptability assessment, urban planning analysis, and governance assessment into a unified framework for capturing complex phenomena of urban resilience. The system operationalizes urban resilience as a function of vulnerability and adaptability, with urban planning and governance mechanisms serving as key levers for vulnerability reduction and capacity enhancement. The central server coordinates the data flow between specialized analysis modules, ensuring consistency and coherence in resilience assessment. The relational database management system manages comprehensive, integrated datasets encompassing geospatial data, demographic data, event histories, land-use patterns, building inventories, infrastructure systems, governance structures, and stakeholder information.The system enables the assessment of urban resilience across different spatial scales, administrative areas, and time horizons through coordinated data processing and analytical synthesis. The comprehensive framework incorporates context-specific adaptations that address specific hazards, vulnerabilities, cultural aspects, and geographical characteristics, thus offering flexibility for application in diverse urban environments.

[0042] The drawing and the preceding description illustrate embodiments. Those skilled in the art will recognize that one or more of the described elements can be combined to form a single functional element. Alternatively, certain elements can be divided into several functional elements. Elements of one embodiment can be added to another. For example, the process flows described here can be modified and are not limited to the manner described herein. Furthermore, the actions of a flowchart need not be performed in the sequence shown; nor do all actions necessarily need to be carried out. Actions that do not depend on other actions can be performed in parallel with the other actions. The scope of protection of the embodiments is in no way limited by these specific examples. Numerous variations, whether explicitly stated in the description or not, such as...Differences in structure, dimensions, and materials are possible. The scope of protection of the embodiments is at least as comprehensive as described by the following claims.

[0043] The advantages, other benefits, and problem solutions have been described above with reference to specific embodiments. However, the advantages, benefits, problem solutions, and any components that can effect or enhance an advantage, benefit, or solution are not to be construed as critical, necessary, or essential features or components of the claims. REFERENCES 100 A block diagram of a digital processing system for assessing the resilience of cities. 102 Central Server 104 Multi-core processor 106 dedicated storage units 108 Relational Database Management System 110 Module for Processing Geodata 112 Vulnerability Calculation Module 114 Adaptive Capacity Assessment Engine 116 Analysis of Urban Planning Features 118 Module for the Evaluation of Corporate Management 120 Integration and Synthesis Engine 122 Reporting and Visualization Module 124 User interface

Claims

[1] A digital processing system for assessing urban resilience, consisting of: a central server, equipped with a multi-core processor and dedicated storage units; a relational database management system connected to the aforementioned centralization server and configured to store spatial geodata, demographic datasets, historical hazard events, land use datasets, building inventory, infrastructure systems, government policies, and stakeholder information; a geodata processing module that is operated via the multi-core processor and has mapping and spatial analysis functions; a vulnerability calculation engine that runs on the multi-core processor and is configured to calculate sensitivity and exposure indices; an adaptive capacity assessment engine that runs on the multi-core processor and is configured to assess coping and adaptation mechanisms; an urban planning attribute analyzer that is powered by the aforementioned multi-core processor and configured to process data on land use diversity, infrastructure robustness, and resource decentralization; a governance assessment module that runs on the multi-core processor and is configured to assess institutional frameworks and stakeholder engagement mechanisms; an integration and synthesis engine connected to the central server and configured to correlate data from the aforementioned modules and to take into account the five Ws of urban resilience; and a reporting and visualization module integrated into a user interface configured to display assessment results, recommendations, and interactive maps. [2] System according to claim 1, wherein the relational database management system further comprises: a spatial index layer for efficient geodata queries; a temporal data structure for storing historical hazard records and urban development trajectories; a normalized schema with tables for vulnerable population groups, properties, infrastructure nodes and administrative units; query optimization mechanisms for real-time data retrieval and analysis. [3] System according to claim 1, wherein the vulnerability calculation engine is further configured to: retrieve spatial and demographic data from the database; calculate exposure metrics based on population density and proximity to hazards; calculate sensitivity indices using socioeconomic variables such as income level, education and housing conditions; generate vulnerability heatmaps showing the geographic distribution of risk zones; classify areas as highly, medium or low vulnerable based on combined sensitivity and exposure values. [4] System according to claim 1, wherein the adaptive capacity assessment engine is further configured to: assess the redundancy of the infrastructure and decentralized service systems; assess alternative resource supply mechanisms including water, energy and waste disposal networks; calculate capacity indices based on past community responses and existing adaptation strategies; determine the planned lifetime and maintenance status of the infrastructure; rank adaptive mechanisms according to effectiveness and availability. [5] System according to claim 1, wherein the urban features analyzer is further configured to: evaluate multifunctionality values ​​of urban land by mapping ecosystem services; determine functional diversity indices in city districts and boroughs; calculate the green infrastructure coverage and biodiversity indicators; analyze degrees of decentralization for critical infrastructure systems; measure the entropy of land-use mix as an indicator of planning flexibility. [6] System according to claim 1, wherein the governance assessment module is further configured to: map institutional hierarchies and decision-making structures; assess stakeholder participation at individual, municipal, city and regional governance levels; evaluate transparency metrics by tracking policy accessibility and implementation; assess equity indicators across different socioeconomic population groups; analyze policy coordination between national, regional and local governance levels. [7] System according to claim 1, wherein the integration and synthesis engine is further configured to: determine correlation coefficients between the reduction of vulnerabilities and the improvement of adaptability; generate resilience scores that synthesize vulnerability and adaptability factors; link datasets together to answer the five W questions: “Who” through demographic distribution and stakeholder mapping; “What” through hazard and risk identification and classification; “When” through analysis of temporal trends and future forecasting modeling; “Where” through spatial vulnerability mapping and zone classification; “Why” through root cause analysis that links vulnerabilities to planning and governance gaps; produce a report on a comprehensive framework for urban resilience. [8] System according to claim 1, wherein the reporting and visualization module is further configured to: generate context-specific action plans that recommend changes to land-use planning; propose priorities for infrastructure investments ordered according to their impact on resilience; propose governance reforms that address stakeholder engagement and transparency gaps; create scenario comparison matrices that show the outcomes of alternative interventions; format the expenditures for use by urban planners, policymakers and government institutions. [9] System according to claim 1, wherein the user interface further comprises: Interactive geodata mapping tools for displaying hazard zones, infrastructure networks, and administrative boundaries; dashboard panels with key resilience indicators, hazard indices, and adaptability values; filter mechanisms for analysis by hazard type, geographic zone, or socioeconomic demographics; data export modules for generating detailed reports and recommendations; real-time update indicators showing the database update status and data currency. [10] System according to claim 1, wherein the multi-core processor is further configured to: continuously receive real-time data on hazard events and infrastructure status updates; execute scheduled algorithms for reassessing resilience at predefined intervals; identify maladaptive development patterns through trend deviation analysis; track progress metrics toward resilience targets across multiple assessment cycles; generate alerts when vulnerability thresholds are exceeded or indicators of adaptability decrease; support adaptive management workflows that include the phases of pre-planning, planning, action development, implementation, and evaluation.

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