A system for assessing the ecological sensitivity and development potential of areas in mining towns

Abstract

A system for assessing the ecological sensitivity and development potential of areas within ecologically sensitive mountain towns, consisting of: a data acquisition module configured to extract various data types, including multi-source geospatial data, environmental data, built environment data, socio-economic data and community participation data, with the extracted data being validated and stored in a database; a central processing unit comprising one or more processors connected to a memory, the processor communicatively connected to the database in which the extracted data is stored, the memory storing instructions that, when executed, configure the processor to implement the following: a data input module configured to receive data corresponding to multiple indicators from different assessment dimensions, including ecology and environment, built environment, economy, heritage and culture, mobility, location, community participation, visual aspects and safety from hazards; an indicator evaluation module configured to evaluate each indicator according to predefined sensitivity categories and assign corresponding sensitivity index values in the range of 0.1 to 1; a dimension weighting module configured to apply dimension-specific weights to calculate weighted scores for each indicator; a development potential calculation module that aggregates the weighted assessments to determine an overall sensitivity assessment and assigns this overall sensitivity assessment to a development potential rating scale; and a visualization module configured to generate visual representations and reports of the assessment results; and an output module having a user interface operatively connected to the visualization module of the central processing unit, the output module configuring the user interface to display the visualized results and the final index value obtained from the central processing unit.

Description

FIELD OF THE INVENTION

[0001] The present disclosure relates to the field of urban planning and ecological protection. In particular, the invention relates to a system for assessing and evaluating the ecological sensitivity and development potential of areas in ecologically sensitive mountain towns based on multiple dimensions, criteria, and indicators to facilitate sustainable decisions in urban planning and development. BACKGROUND OF THE INVENTION

[0002] Mountain towns represent unique ecosystems with distinct topographical, ecological, and social characteristics. Mountain towns located in ecologically sensitive zones, in particular, require careful consideration when planning and implementing their development. Traditional urban planning approaches often fail to adequately address the specific challenges and vulnerabilities of these ecosystems. This leads to unsustainable development, environmental degradation, and a disrupted ecological balance. The development of mountain towns presents numerous challenges, including terrain constraints, biodiversity conservation requirements, limited natural resources, vulnerability to natural hazards, and the need to preserve cultural heritage.Conventional planning techniques typically apply generalized urban planning principles that may not be suitable for the specific circumstances of mountainous regions in ecologically sensitive areas.

[0003] Existing approaches to development planning for hill towns in ecologically sensitive areas often lack a comprehensive framework that considers ecological, environmental, infrastructural, economic, and social factors. This gap has led to uncoordinated development patterns that threaten the ecological integrity and long-term sustainability of these regions. Various assessment tools have been proposed to evaluate the environmental impacts of development projects, including environmental impact assessment (EIA) and strategic environmental assessment (SEA). However, these tools are often generic in nature and do not specifically address the unique characteristics and challenges of ecologically sensitive hilly urban ecosystems.

[0004] Various procedures for assessing the environmental impacts of development projects, such as environmental impact assessments (EIAs) and strategic environmental assessments (SEAs), are often general in nature and do not specifically consider the unique characteristics and challenges of mountain ecosystems. Therefore, these procedures often lack standardized quantitative assessment approaches that allow objective measurements of ecological sensitivity and development potential in different areas of mountain cities.

[0005] The foregoing discussion clearly demonstrates the need for an integrated, systematic, and quantitative approach to assessing the ecological sensitivity and development potential of ecologically sensitive mountain towns, which can facilitate sustainable planning decisions. Such an approach should balance development needs with ecological protection requirements while also considering the specific characteristics of the affected ecosystems.

[0006] The present invention provides a system that assesses the ecological sensitivity and development potential of areas within ecologically sensitive mountain towns using multiple indicators in different dimensions, thus enabling more informed and sustainable urban planning decisions. Summary of the invention

[0007] The present disclosure relates to a system for assessing the ecological sensitivity and development potential of areas in mountain towns. The present invention provides a computer-implemented system for assessing and evaluating the ecological sensitivity and development potential of areas in mountain towns. The system is configured to assess multiple dimensions, including ecology and environment, built environment, economy, cultural heritage, mobility, safety from hazards, citizen participation, and visual aspects. The system includes processors, memory, data storage, and input / output interfaces configured to assess ecological sensitivity and development potential using a multidimensional assessment framework. The system includes modules for data input, indicator assessment, sensitivity assessment, development potential calculation, visualization, reporting, and decision support.The system calculates an overall assessment that determines development potential on a scale from "extremely low development potential" to "very high development potential," corresponding to sensitivity levels from "extremely sensitive" to "very insensitive." The invention enables urban planners, policymakers, and other stakeholders to make informed decisions regarding sustainable development in mountain cities while preserving ecological integrity and addressing the unique challenges of mountain ecosystems.

[0008] The present disclosure aims to provide a system for assessing the ecological sensitivity and development potential of areas in mountain towns. The system comprises: a data acquisition module configured to extract various types of data, including multi-source geospatial data, environmental data, built environment data, socioeconomic data, and citizen participation data. The extracted data is validated and stored in a database. The system further comprises: a central processing unit having one or more processors connected to a memory, the processor being communicatively connected to the database in which the extracted data is stored.The memory stores instructions whose execution configures the processor to implement: a data input module configured to receive data on multiple indicators from different assessment dimensions, including ecology and environment, built environment, economy, heritage and culture, mobility, location, citizen participation, visual appearance, and safety from hazards; an indicator assessment module configured to assess each indicator according to predefined sensitivity categories and to generate corresponding sensitivity index values ranging from 0.1 to 1; a dimension weighting module configured to apply dimension-specific weights to calculate weighted scores for each indicator; a development potential calculation module that aggregates the weighted scores to determine an overall sensitivity score and assigns that overall sensitivity score to a development potential rating scale; and a visualization module for producing visual representations and reports of the assessment results. The system also includes an output module having a user interface that is operatively connected to the visualization module of the central processing unit. The output module configures the user interface to display the visualized results and the final index value determined by the central processing unit.

[0009] One objective of this disclosure is to provide a system for assessing the ecological sensitivity and development potential of areas within mining towns.

[0010] A further objective of this disclosure is to provide a standardised, quantitative framework for assessing multiple dimensions, including ecology and environment, built environment, economy, heritage and culture, mobility, safety from hazards, community participation and visual aspects.

[0011] Another objective of this disclosure is to facilitate evidence-based decisions in urban planning and development of mountain towns by providing objective assessments of sensitivity and development potential.

[0012] A further objective of this disclosure is to enable the integration of ecological conservation principles with development requirements in the planning of mountain towns through the systematic evaluation of relevant indicators.

[0013] Another objective of this disclosure is to provide planners, policymakers and other stakeholders with a user-friendly interface through which they can enter data, visualise results and produce comprehensive reports to assess ecological sensitivity and development potential.

[0014] Another objective of the present disclosure is to create a scalable and adaptable system that can be customized for different mountain towns while maintaining the core assessment framework, whereby the system promotes sustainable development practices in ecologically sensitive mountain regions by highlighting areas of ecological importance and vulnerability.

[0015] To further clarify the advantages and features of the present disclosure, the invention will be explained in more detail with reference to specific embodiments illustrated in the accompanying drawings. These drawings show only typical embodiments of the invention and are therefore not to be considered as limiting its scope. The invention will be described and explained in more detail with reference to the accompanying drawings. SHORT DESCRIPTION OF THE FIGURE

[0016] These and other features, aspects, and advantages of the present disclosure will become better understood when the following detailed description is read with reference to the accompanying drawings, in which like characters represent like parts throughout. Fig. 1 shows a block diagram of a system for assessing the ecological sensitivity and development potential of areas within mountain cities according to an embodiment of the present disclosure.

[0017] Those skilled in the art will also appreciate that the elements in the drawings are shown for convenience and are not necessarily to scale. For example, the flowcharts illustrate the method by key steps to enhance understanding of aspects of the present disclosure. Furthermore, with respect to device construction, one or more components of the device may be represented in the drawings by conventional symbols. The drawing may show only the specific details relevant to understanding embodiments of the present disclosure in order not to clutter the drawing with details that would be readily apparent to those skilled in the art from the present description. DETAILED DESCRIPTION:

[0018] To facilitate an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawings and a clear description thereof. However, the scope of the invention is not limited thereby. Changes and further modifications to the illustrated system, as well as further applications of the principles of the invention, are possible, as would normally occur to one skilled in the art to which the invention pertains.

[0019] It will be understood by 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 intended to be limiting thereof.

[0020] References in this specification to "one aspect," "another aspect," or similar language mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Therefore, the language "in one embodiment," "in another embodiment," and similar language throughout this specification may or may not refer to the same embodiment.

[0021] The terms "comprises," "comprising," or other variations thereof are intended to cover non-exclusive inclusion, such that a process or method comprising a list of steps may include not only those steps, but also additional steps not expressly listed or inherent in that process or method. Likewise, the statement "comprises" for one or more devices, subsystems, elements, structures, or components does not exclude, without further limitation, the existence of other devices, subsystems, elements, structures, components, or additional devices, subsystems, elements, structures, or components.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention pertains. The systems, methods, and examples provided herein are for illustrative purposes only and should not be considered limiting.

[0023] Embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.

[0024] The functional units described in this specification are referred to as devices. A device may be implemented in programmable hardware devices such as processors, digital signal processors, central processing units, field-programmable gate arrays, programmable array logic systems, programmable logic devices, cloud processing systems, or the like. The devices may also be implemented in software for execution by various types of processors. An identified device may contain executable code and may consist, for example, of one or more physical or logical blocks of computer instructions, which may be organized, for example, as an object, procedure, function, or other construct.However, the executable file of an identified device does not have to be physically stored in the same location, but may consist of different instructions stored in different locations which, logically linked, form the device and fulfill its purpose.

[0025] The executable code of a device or module may consist of one or more instructions and may even be distributed across multiple code segments, different applications, and multiple storage devices. Similarly, operational data may be identified and represented within the device and presented in any form and data structure. The operational data may be captured as a single data set or distributed across different storage devices and may be present, at least in part, as electronic signals in a system or network.

[0026] References in this specification to "a selected embodiment," "an embodiment," or "an embodiment" mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the disclosed subject matter. Therefore, the phrases "a selected embodiment," "in an embodiment," or "in an embodiment" in various places in this specification do not necessarily refer to the same embodiment.

[0027] Furthermore, the described features, structures, or characteristics may be combined in any manner in one or more embodiments. The following description contains numerous specific details in order to provide a thorough understanding of embodiments of the disclosed subject matter. However, those skilled in the art will recognize that the disclosed subject matter may be practiced without one or more of the specific details, or with different methods, components, materials, etc. In other instances, well-known structures, materials, or operations are not shown or described in detail in order not to obscure aspects of the disclosed subject matter.

[0028] According to the exemplary embodiments, the disclosed computer programs or modules may be executed in a variety of ways, for example, as an application in the memory of a device or as a hosted application on a server that communicates with the device application or browser using various standard protocols such as TCP / IP, HTTP, XML, SOAP, REST, JSON, and other suitable protocols. The disclosed computer programs may be written in exemplary programming languages that execute from the memory of the device or from a hosted server, such as BASIC, COBOL, C, C++, Java, Pascal, or scripting languages such as JavaScript, Python, Ruby, PHP, Perl, or other suitable programming languages.

[0029] Some of the disclosed embodiments involve or otherwise involve the transmission of data over a network, for example, the delivery of various inputs or files over the network. The network may include, for example, the Internet, wide area networks (WANs), local area networks (LANs), analog or digital wired and wireless telephone networks (e.g., PSTN, Integrated Services Digital Network (ISDN), cellular networks, and Digital Subscriber Line (xDSL)), radio, television, cable, satellite, and / or other transmission or tunneling mechanisms for transmitting data. The network may include multiple networks or subnetworks, each including, for example, a wired or wireless data path. The network may include a circuit-switched voice network, a packet-switched data network, or another network for transmitting electronic communications.For example, the network may include Internet Protocol (IP) or Asynchronous Transfer Mode (ATM) networks supporting voice, such as VoIP, Voice over ATM, or other comparable protocols for voice data communication. In one implementation, the network includes a cellular network configured for the exchange of text or SMS messages.

[0030] Examples of the network include a Personal Area Network (PAN), a Storage Area Network (SAN), a Home Area Network (HAN), a Campus Area Network (CAN), a Local Area Network (LAN), a Wide Area Network (WAN), a Metropolitan Area Network (MAN), a Virtual Private Network (VPN), an Enterprise Private Network (EPN), the Internet, a Global Area Network (GAN), etc.

[0031] Fig. 1 shows a block diagram of a system for assessing the ecological sensitivity and development potential of areas within mountain cities according to an embodiment of the present disclosure.

[0032] According to Fig.1, the system (100) comprises: a data acquisition module (102) configured to extract various types of data, including data from multiple sources on geospatial data, environmental data, built environment data, socioeconomic data, and community participation data, the extracted data being validated and stored in a database (104);and a central processing unit (106) comprising one or more processors (108) connected to a memory (110), the processor (108) being communicatively connected to the database (104) in which the extracted data is stored, the memory (110) storing instructions that, when executed, configure the processor (108) to implement: a data input module (112) configured to receive data corresponding to a plurality of indicators across assessment dimensions, including ecology and environment, built environment, economy, heritage and culture, mobility, location, social participation, visual appearance, and hazard security; an indicator assessment module (114) configured to assess each indicator according to predefined sensitivity categories and to assign corresponding sensitivity index values in the range of 0.1 to 1;a dimension weighting module (116) configured to apply dimension-specific weights to calculate weighted scores for each indicator; a development potential calculation module (118) configured to aggregate the weighted scores to determine an overall sensitivity score and to assign the overall sensitivity score to a development potential rating scale; and a visualization module (120) configured to create visual representations and reports of the assessment results. The system further comprises: an output module (122) having a user interface (124) operatively connected to the visualization module (120) of the central processing unit (106). The output module (122) configures the user interface (124) to display the visualized results and the final index value determined by the central processing unit (106).

[0033] In one embodiment, the ecology and environment dimension includes the assessment of topography through slope measurements and slope direction, vegetation type and density, proximity and size of water resources, width and proximity of natural runoff, and biodiversity conservation indicators.

[0034] In one embodiment, the built environment dimension includes the assessment of land use patterns, infrastructure facilities including water supply and sanitation, development intensity based on availability and proximity to various infrastructure facilities, energy infrastructure, road width, and residential density indicators.

[0035] In one embodiment, the economic dimension includes indicators for tourism infrastructure and the assessment of various indicators related to agriculture, forestry, industry and urban cultural heritage.

[0036] In one embodiment, the hazard safety dimension includes the assessment of natural hazards such as landslides, earthquakes, flash floods and cloudbursts, as well as human-made hazards such as fires and traffic accidents, each of which is classified into risk zones.

[0037] In one embodiment, the system (100) further comprises a Geographic Information System (GIS) module (126) configured to: process spatial data related to the assessment area; generate color-coded maps indicating the distribution of sensitivity and development potential across the assessment area; and integrate topographic data, land use patterns, natural features, and infrastructure layouts into the assessment process.

[0038] In one embodiment, the development potential calculation module (118) is configured to classify regions into six categories based on the overall sensitivity value: extremely low development potential for values less than or equal to 15; very low development potential for values between 15 and 30; low development potential for values between 30 and 50; medium development potential for values between 50 and 75; high development potential for values between 75 and 100; and very high development potential for values greater than or equal to 100.

[0039] In one embodiment, the system (100) further comprises a decision support module (128) configured to enable the modification of input parameters to simulate different development scenarios; recalculate sensitivity and development potential assessments based on modified parameters; and facilitate the comparison of multiple scenarios to determine optimal development approaches.

[0040] In one embodiment, the database (104) is further configured to store historical assessment data, track changes in ecological sensitivity and development potential over time, and maintain records of baseline reference data, user input data, and calculation results.

[0041] In one embodiment, the system (100) further comprises an adaptation module (130) configured to: enable the adaptation of weighting values, sensitivity thresholds, and calculation methods; allow the modification of classification schemes and sensitivity index values based on regional characteristics; and support the addition, modification, or deactivation of indicators based on specific requirements of different ecologically sensitive mountain cities.

[0042] The present invention relates to a system for assessing the ecological sensitivity and development potential of areas in mountain towns. The system comprises several interconnected components that work together to assess ecological sensitivity and development potential.

[0043] In one embodiment, the system includes a central processing unit (CPU) that executes the main computational algorithms and controls the overall operation of the system. The CPU is connected to various storage components, including random access memory (RAM) for temporary data storage during processing and non-volatile storage such as solid-state drives (SSDs) or hard disk drives (HDDs) for permanent data storage, acting as a database. The system also includes input and output modules with user interfaces that enable interaction with users and other systems. A geographic information system (GIS) module integrated into the main system enables the processing, analysis, and visualization of spatial data. This module facilitates the incorporation of geographic information such as topographic data, land-use patterns, natural features, and infrastructure layouts into the assessment process.The system architecture includes a database management system that organizes and stores various data types, including baseline reference data, user input, calculation results, historical evaluation data, and system configuration parameters. A user interface layer provides intuitive access to system functions through a graphical user interface (GUI). The interface includes data entry forms, parameter configuration screens, visualization tools, and reporting options.

[0044] In one embodiment, the system comprises a central processing unit connected to a memory and a database to perform certain functions, the central processing unit being configured to implement various modules, namely a data entry module, an indicator evaluation module, a dimension weighting module, a development potential calculation module and a visualization module, the detailed function of each of these modules being described below.

[0045] The database is configured to store and manage all data related to the assessment process. It features a comprehensive data repository containing baseline reference data, user inputs, calculation results, and historical assessment records. The module tracks changes in ecological sensitivity and development potential over time, enabling trend analysis and the assessment of the impacts of past development decisions. This historical perspective helps inform future planning and policy decisions. The module implements data security measures such as access controls, data encryption, and audit logging to protect sensitive information and maintain data integrity. These measures ensure that only authorized users can access or modify critical data.The database includes metadata management features that contain information about data sources, collection dates, measurement methods, and data quality metrics. This metadata helps users assess the reliability and suitability of the data for specific analytical purposes.

[0046] The data entry module: The data entry module is used to enter the data collected by the data collection unit. This unit collects various data types, including various indicators for all assessment dimensions. The data entry module provides structured input forms for each criterion and indicator defined in the framework. The module also checks the completeness, consistency, and validity of the entered data. Validation rules ensure that the data falls within the expected ranges and conforms to the predefined formats. The data entry module is connected to the user interface and allows the user to manually enter certain data types, including forms, batch uploads of structured data files, direct import from external databases, and integration with the data collection unit and sensors.For spatial data, the module communicates with the GIS component to enable the import and processing of geographical information about the assessment area.

[0047] The indicator evaluation module is configured to evaluate each indicator according to the framework's criteria and sensitivity categories. It applies predefined classification rules to assign sensitivity levels to the indicator values. The module implements an evaluation mechanism that assigns sensitivity index values from 0.1 (very high sensitivity) to 1 (very low sensitivity) based on the category to which each indicator value belongs. For topography indicators, the module evaluates slope measurements and classifies them into sensitivity categories: slope values above 40 degrees receive a very high sensitivity rating (value 0.1), slopes between 30 and 40 degrees receive a high sensitivity rating (value 0.25), and so on, according to the predefined classification ranges. Similarly, the slope direction indicator is classified as very sensitive (value 0.1), and northwest slopes as highly sensitive (value 0.25).25), and further directions are addressed according to the framework's classification scheme. This pattern continues for all indicators of the framework's eight dimensions, with each indicator value being assessed and assigned a corresponding sensitivity index value.

[0048] The dimension weighting module applies predefined weighting values to various dimensions and criteria, as defined in the framework. The weightings reflect the relative importance of each dimension in determining overall ecological sensitivity. The module calculates weighted values for each indicator by multiplying the sensitivity index value by the corresponding indicator's weighting. These weighted values are then aggregated at the criteria and dimension levels. The weighting values used by the module include: ecology and environment (21.8%), built environment (6%), economy (11.5%), heritage and culture (3.6%), mobility (12.1%), location (6.2%), civic participation (8.1%), visibility (4%), and safety from hazards (30.3%). Within each dimension, the module additionally applies sub-weightings to various criteria.For example, within the ecology and environment dimension, the protection of biodiversity receives a weighting of 5.3%, vegetation 2.6%, topography 3.4%, water resources 4.1% and natural drainage 6.4%.

[0049] The development potential calculation module calculates the overall sensitivity value for the assessment area by summing all weighted indicator values. The overall value is then assigned a development potential rating according to the predefined scale. The development potential scale used by the module comprises six categories: values below 15 mean "extremely low development potential" for "extremely sensitive" areas; values between 15 and 30 mean "very low development potential" for "very highly sensitive" areas; values between 30 and 50 mean "low development potential" for "highly sensitive" areas; values between 50 and 75 mean "medium development potential" for "moderately sensitive" areas; values between 75 and 100 mean "high development potential" for "less sensitive" areas; and values above 100 mean "very high development potential" for "very less sensitive" areas.

[0050] The visualization module is configured to generate visual representations of assessment results, including thematic maps, charts, graphs, and dashboards. It leverages the GIS component to create spatial visualizations that show the distribution of sensitivity and development potential within the assessment area. The module creates color-coded maps, with different colors representing different levels of sensitivity or development potential. Furthermore, it generates dimension-specific visualizations that highlight areas of concern or potential within each assessment dimension. Visualization capabilities include the creation of comparative visualizations that show how sensitivity and development potential vary across different scenarios or assessment periods.

[0051] In one embodiment, the system further comprises a geographic information system (GIS), a decision support module, and an adaptation module. The GIS module enables spatial analysis and visualization. It processes spatial data of the assessment area, including topographic information, land-use patterns, natural features, and infrastructure layouts. The GIS module generates color-coded maps that visually depict the distribution of sensitivity and development potential within the assessment area. These maps use color gradients to indicate different degrees of sensitivity or development potential, thus more easily identifying areas of concern or potential. The module includes spatial analysis tools that allow users to examine the relationships between different spatial factors and their influence on ecological sensitivity.For example, users can analyze how proximity to water bodies or forest areas affects the overall sensitivity assessment. The GIS module also supports the export of spatial data in standard GIS formats, enabling integration with other specialized geographic information systems used by planning authorities or research institutions. The Decision Support module provides tools and functionality to support decision-making based on the assessment results. It enables the comparison of different development scenarios and their potential impacts on ecological sensitivity. The module includes a scenario analysis function that allows users to change input parameters and immediately see how these changes affect sensitivity and development potential assessments.This feature helps stakeholders assess the potential impacts of different development approaches or mitigation measures. The module provides analytical tools to identify critical indicators that significantly influence overall sensitivity assessments. This information enables stakeholders to focus interventions on key factors for maximum impact. The customization module enables the system to be adapted to different regional contexts and specific planning needs. It allows for the adjustment of weighting values, sensitivity thresholds, and calculation methods to regional priorities or specific planning objectives. The module supports the adaptation of classification schemes and sensitivity index values based on regional characteristics. The customization module allows indicators to be added, modified, or deactivated based on the specific needs of different mining towns.This flexibility ensures that the assessment framework remains relevant and effective in different geographical and cultural contexts.

[0052] The system implements a comprehensive assessment framework that evaluates ecological sensitivity and development potential based on multiple dimensions. Each dimension encompasses several criteria, which are further subdivided into specific indicators. The weighting of each dimension is as follows: Ecology and Environment (21.8%), Built Environment (6%), Economy (11.5%), Heritage and Culture (3.6%), Mobility (12.1%), Location (6.2%), Civic Participation (8.1%), Appearance (4%), and Safety from Hazards (30.3%). The following sections describe these dimensions and the associated indicators in detail:

[0053] The ecology and environment dimension assesses natural ecological characteristics and environmental conditions. It includes the following criteria and indicators: Topography (3.4%): Assesses the physical terrain characteristics based on indicators such as slope and slope direction. Slope is categorized by degrees (> 40°, 30-40°, 20-30°, 10-20°, < 10°) with corresponding sensitivity levels from very high to very low. Slope direction is categorized by aspect (north, northwest, east & west, southwest, south & southeast) with assigned sensitivity levels.

[0054] Vegetation (2.6%): Vegetation characteristics are assessed using indicators such as type, density, and size. Vegetation types are classified into forest, rock, riparian, shrubland, and grassland, with corresponding sensitivity levels. Vegetation density is classified as dense, sparse, and barren. Size is measured in hectares and categorized as large (≥ 3 hectares), medium (1-3 hectares), or small (≤ 1 hectare).

[0055] Water resources (4.1%): Assesses proximity to existing structures and the size of the water source. Proximity is measured in meters and classified into ranges (≤ 100 m, 100-300 m, 300-500 m, ≥ 500 m) with corresponding sensitivity levels. Size is measured in hectares and categorized as large, medium, or small.

[0056] Natural drainage (6.4%): Drainage characteristics are assessed based on indicators such as the width of drainage pipes and proximity to existing buildings. Width is categorized as wide (≥ 30 m), medium (10-30 m), and narrow (≤ 10 m). Proximity is measured in meters and divided into ranges (≤ 100 m, 100-300 m, 300-500 m, ≥ 500 m).

[0057] Biodiversity conservation (5.3%): Assesses biodiversity aspects using indicators of species extinction risk and habitat types. Species are categorized according to the IUCN classifications (critically endangered, critically endangered, vulnerable, near threatened, and least concern) with corresponding sensitivity levels. Habitat types are classified into habitats of rare or threatened species, habitats of locally and regionally abundant species, and habitats of limited wildlife value.

[0058] The "Built Environment" dimension assesses the built environment and infrastructure. It includes the following criteria and indicators: Land Use Pattern (0.6%): Assesses the type and intensity of development. Development types are categorized into state-owned, developed areas, underdeveloped areas, and undeveloped areas, with corresponding sensitivity levels. Development intensity is classified as highly developed, medium, or low developed.

[0059] Infrastructure facilities (1.6%): Assesses various infrastructure components, including water supply, sewage facilities, solid waste management, housing condition, availability and proximity of educational facilities, health facilities, socio-cultural facilities, and other services. Water supply is measured in liters per capita per day (lpcd) and classified into ranges (≤ 80 lpcd, 80-100 lpcd, 100-120 lpcd, 120-135 lpcd, ≥ 135 lpcd) with corresponding sensitivity levels. Sewage facilities and solid waste management are assessed based on coverage. Housing condition is classified as fair, poor, or dilapidated. In addition, the intensity of development is assessed based on indicators such as availability and proximity of health facilities, educational facilities, socio-cultural facilities, and other services. Educational facilities are classified into primary and secondary schools.The availability of healthcare facilities is categorized into "pharmacy / family welfare center," "maternity home / nursing home," and "health center" with corresponding sensitivity levels. The availability of socio-cultural and recreational facilities is categorized into "local grocery stores / milk stalls / banquet halls / religious buildings / cremation centers," "informal shopping centers," and "community welfare centers." The availability of other essential services is categorized into "disaster management center," "bank / police chowki," and "post office / police station." The distance to the above facilities is measured in kilometers and categorized into zones with corresponding sensitivity levels.

[0060] Energy infrastructure (1.3%): Assesses energy infrastructure and efficiency using indicators such as power transmission (substation capacity) and energy efficiency index. Substation capacity is categorized by kilovolt capacity (≤ 6 kV, 6-9 kV, 9-11 kV, 11-33 kV) with corresponding sensitivity levels. The energy efficiency index is expressed in kWh / m². 2 / year and divided into ranges (≥ 200, 100-200, ≤ 100).

[0061] Housing density (1.6%): Assesses housing characteristics based on indicators such as housing stock, household size, and slum population. Housing stock is categorized by construction type (permanent, semi-detached, single-family, temporary / kutcha, slum, and squatter) with corresponding sensitivity levels. Household size is divided into ranges (≤4, 4-5, ≥5). Slum population is measured by the number of people and divided into ranges (≤100, 100-300, 300-500, ≥500).

[0062] Road width (0.9%): Evaluates the road width in terms of right-of-way (≤ 3 m, 3-7 m, 7-12 m, 12-15 m, ≥ 15 m). This is calculated as a distance.

[0063] The economic dimension (11.5%) assesses economic activities and potential. It includes the following criteria and indicators: Agriculture and forestry (3.8%): Agricultural and forestry activities are assessed based on indicators such as the percentage share of the city's total gross value added (GVA) and the share of employees. The GVA share is divided into categories (≤ 10%, 10-20%, 20-30%, ≥ 30%) with corresponding sensitivity levels. The share of employees is categorized analogously (≤ 10%, 10-20%, 20-30%, ≥ 30%).

[0064] Industry (1.1%): Industrial characteristics are assessed using indicators such as the percentage share of the city's total gross value added (GVA), industrial linkages, and the employment rate. The GVA share is divided into ranges (≤ 5%, 5-10%, ≥ 10%) with corresponding sensitivity levels. The employment rate is measured as a percentage and divided into ranges (≤ 5%, 5-10%, ≥ 10%). Industrial linkages are divided into heavy industry / manufacturing, agriculture, crafts / municipal economy, and tourism with corresponding sensitivity levels.

[0065] Cultural Heritage and Culture (3.6%): Cultural heritage characteristics are assessed using indicators such as cultural heritage resources, the number of tourists visiting cultural heritage sites daily, and the percentage of revenue generated from cultural tourism. Cultural heritage resources are classified into the categories of natural heritage, architecture & history, and religion & spirituality, with corresponding sensitivity levels. Tourist numbers are classified into ranges (≤ 500, 500-900, 900-1500, ≥ 1500) with corresponding sensitivity levels. The revenue share is classified into ranges (≤ 5%, 5-15%, 15-30%, ≥ 30%).

[0066] Tourism infrastructure (3%): Evaluates tourism facilities based on indicators such as the number of beds per 1,000 tourists per day, hotel occupancy, preferred mode of transport, parking requirements, and amenities at major tourist attractions such as restrooms, seating, restaurants, and shops selling local specialties. Bed availability is categorized into ranges (≤500, 500-1,500, 1,500-2,500, ≥2,500) with corresponding sensitivity levels. Hotel occupancy is measured as a percentage and categorized into ranges (≤45%, 45-65%, ≥65%). Preferred modes of transport were categorized as private vehicles, rental cars, pedestrian walkways, auto-rickshaws, and taxis. Parking requirements are measured in square meters near major attractions and categorized into ranges. Amenities provided at major tourist attractions were categorized as well-developed, moderately developed, limited, and unavailable.

[0067] The "Location" dimension (6.2%) evaluates physical placement and proximity. It includes the following criteria and indicators: Proximity to natural features (4.6%): Measures the distance in kilometers and categorizes it into ranges (≤ 0.1 km, 0.1-0.25 km, 0.25-0.5 km, 0.5-1 km, ≥ 1 km) with corresponding sensitivity levels.

[0068] Proximity to existing developments: Similarly, measures the distance in kilometers and categorizes it into ranges (≥ 1 km, 0.5-1 km, 0.25-0.5 km, 0.1-0.25 km, ≤ 0.1 km) with corresponding sensitivity levels.

[0069] The mobility dimension (12.1%) assesses transportation and accessibility. It includes the following criteria and indicators: Traffic and transport (4.1%): Assesses traffic characteristics based on traffic volume, measured as the average number of vehicles per day and categorized into ranges (≤ 300, 300-700, 700-1000, 100-1500, > 1500).

[0070] Site-specific accessibility (5.4%): Assesses the accessibility of the site based on indicators such as road width and quality. Road width is measured in meters and divided into ranges (≥ 9 m, 6-9 m, 3-6 m, ≤ 3 m) with corresponding sensitivity levels. Quality is classified as pucca, semi-finished, or kuccha.

[0071] City-specific accessibility (2.6%): Assesses accessibility at the city level based on access type and quality indicator. Access type is categorized as main artery (12-15 m), secondary artery (7-12 m), collector (4-7 m), or local (≤ 4 m). The quality indicator was classified as pucca, semi-finished construction, or kuccha with the corresponding sensitivity levels.

[0072] The "Security from Hazards" dimension (30.3%) assesses vulnerability to various hazards. It includes the following criteria and indicators: Natural Hazards (22.4%): Assesses vulnerability to natural disasters such as landslides, earthquakes, and cloudbursts. Each of these hazards is classified as high-risk, medium-risk, or low-risk, with the corresponding sensitivity levels.

[0073] Human-made hazards (7.9%): Assesses vulnerability to human-made hazards such as fires, flash floods, and traffic accidents, which are similarly categorized as high-risk, medium-risk, or low-risk with corresponding sensitivity levels.

[0074] The "Community Participation" dimension (8.1%) assesses community engagement. It includes the following criteria and indicators: Local communities (5.7%): Assesses community characteristics through indicators of volunteer participation, with rates categorised into percentage ranges (≥ 25%, 15-25%, ≤ 15%) with corresponding sensitivity levels.

[0075] Environmental groups (2.4%): The activities of environmental organizations are assessed based on indicators such as the number of community environmental groups and participation rates. Group numbers are categorized into ranges (≥15, 5-15, ≤5) with corresponding sensitivity levels. Participation rates in cleanup or planting campaigns are measured as a percentage and categorized into ranges (≥50%, 30-50%, ≤30%).

[0076] The "Visual Aspect" dimension (4%) assesses aesthetic qualities. It includes the following criteria and indicators: Natural landscapes (2.7%): Landscape features are assessed based on indicators such as ecological value and average distance to the city's main attractions. Ecological value is classified as unique, ordinary, or low, with corresponding sensitivity levels. Distance is measured in kilometers and divided into ranges (1 km, 0.5-1 km, ≤ 0.5 km).

[0077] Urban Landscapes (0.6%): Evaluates visual aspects of cities using quality indicators, which are classified as unique, ordinary, or poor with the corresponding sensitivity levels.

[0078] Scenic Views (0.7%): View features are assessed based on indicators such as quality and visual prominence. Quality is classified as unique, ordinary, or poor. Visual prominence is categorized as rugged escarpments, valleys, prominent peaks, and high or low ridges, with corresponding sensitivity levels.

[0079] The assessment of development potential is divided into six different categories, with extremely low development potential being defined as values less than or equal to 15 (extremely sensitive); very low development potential being defined as values between 15 and 30 (very high sensitivity); low development potential being defined as values between 30 and 50 (high sensitivity); medium development potential being defined as values between 50 and 75 (moderately sensitive); high development potential being defined as values between 75 and 100 (low sensitivity); and very high development potential being defined as values greater than or equal to 100 (very low sensitivity).

[0080] The drawings and the foregoing description show examples of embodiments. Those skilled in the art will recognize that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be separated into multiple functional elements. Elements of one embodiment may be added to another embodiment. For example, the order of the processes described herein may be changed and is not limited to the manner described herein. Furthermore, the actions of a flowchart need not be performed in the order shown; nor do all actions necessarily have to be performed. Also, actions that are not dependent on other actions may be performed in parallel with the other actions. The scope of the embodiments is in no way limited by these specific examples.Numerous variations, whether explicitly stated in the specification or not, such as differences in structure, dimensions, and use of materials, are possible. The scope of the embodiments is at least as broad as indicated in the following claims.

[0081] Advantages, further benefits, and solutions to problems have been described above with reference to specific embodiments. However, the advantages, advantages, solutions to problems, and any components that may result in or enhance an advantage, advantage, or solution are not to be construed as critical, required, or essential features or components of any or all of the claims. REFERENCES 100 The system consists of: a data acquisition module 102 Data acquisition module 104 Database 106 Central Processing Unit 108 One or more processors 110 storage 112 Data entry module 114 Indicator evaluation module 116 Dimension weighting module 118 Module for calculating development potential 120 Visualization module 122 Output module 124 User interface 126 Geographical Information System (GIS) Module 128 Decision support module 130 Adaptation module

Claims

[1] A system for assessing the ecological sensitivity and development potential of areas within ecologically sensitive mountain towns, consisting of: a data acquisition module configured to extract various data types, including multi-source geospatial data, environmental data, built environment data, socio-economic data and community participation data, with the extracted data being validated and stored in a database; a central processing unit comprising one or more processors connected to a memory, the processor communicatively connected to the database in which the extracted data is stored, the memory storing instructions that, when executed, configure the processor to implement the following: a data input module configured to receive data corresponding to multiple indicators from different assessment dimensions, including ecology and environment, built environment, economy, heritage and culture, mobility, location, community participation, visual aspects and safety from hazards; an indicator evaluation module configured to evaluate each indicator according to predefined sensitivity categories and assign corresponding sensitivity index values in the range of 0.1 to 1; a dimension weighting module configured to apply dimension-specific weights to calculate weighted scores for each indicator; a development potential calculation module that aggregates the weighted assessments to determine an overall sensitivity assessment and assigns that overall sensitivity assessment to a development potential rating scale; and a visualization module configured to generate visual representations and reports of the assessment results; and an output module having a user interface operatively connected to the visualization module of the central processing unit, the output module configuring the user interface to display the visualized results and the final index value obtained from the central processing unit. [2] The system of claim 1, wherein the ecology and environment dimension includes the assessment of topography through slope measurements and slope direction, vegetation type and density, proximity and size of water resources, width and proximity of natural drainage, and biodiversity conservation indicators. [3] The system of claim 1, wherein the built environment dimension includes the assessment of land use patterns, infrastructure facilities including water supply and sanitation, development intensity based on the availability and proximity of various infrastructure indicators, energy infrastructure and residential density. [4] The system according to claim 1, wherein the economic dimension comprises indicators of tourism infrastructure and the assessment of various indicators related to agriculture, forestry, industry and urban cultural heritage. [5] The system according to claim 1, wherein the hazard safety dimension comprises the assessment of natural hazards such as landslides, earthquakes, flash floods and cloudbursts, and man-made hazards such as fires and traffic accidents, each of which is classified into risk zones. [6] The system of claim 1 further comprises a geographic information system (GIS) module configured to: process spatial data associated with the assessment area; create color-coded maps indicating the distribution of sensitivity and development potential in the assessment area; and integrate topographic data, land-use patterns, natural features, and infrastructure layouts into the assessment process. [7] The system of claim 1, wherein the development potential calculation module is configured to classify areas into six categories based on the overall sensitivity value: extremely low development potential for values less than or equal to 15; very low development potential for values between 15 and 30; low development potential for values between 30 and 50; medium development potential for values between 50 and 75; high development potential for values between 75 and 100; and very high development potential for values greater than or equal to 100. [8] The system of claim 1, further comprising a decision support module configured to: enable input parameters to be changed to simulate different development scenarios; recalculate the sensitivity and development potential assessments based on changed parameters; and facilitate the comparison of multiple scenarios to determine optimal development approaches. [9] The system of claim 1, wherein the database is further configured to store historical assessment data, track changes in ecological sensitivity and development potential over time, and maintain records of baseline reference data, user input data, and calculation results. [10] The system according to claim 1 further comprises an adaptation module configured to: enable the adaptation of weighting values, sensitivity thresholds and calculation methods; allow the modification of classification schemes and sensitivity index values based on regional characteristics; and support the addition, modification or deactivation of indicators based on specific requirements of different mining towns.

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