Green Areas Research Articles

A pathway to urban resilience: investigating green open space priority areas to mitigate the urban heat island phenomenon in Samarinda City, Indonesia

Purpose The potential for massive economic growth exists in Samarinda City due to the intensification of activities in built-up areas. This suggests the potential for increased urban disease in the relocation of Indonesia’s new capital city to a location adjacent to Samarinda. One of the most striking impacts is the urban heat island (UHI). The increase in this phenomenon can be addressed effectively and efficiently through the provision and arrangement of appropriate vegetation-based actions. Therefore, this study aims to identify priority areas of green open space (GOS) based on UHI levels. In addition, this study also aims to present alternative mitigation measures to reduce the risk of disasters due to UHI. Design/methodology/approach A mixed-method approach was used in this research, involving an initial land surface temperature analysis to identify the UHI class. This analysis was complemented by quantitative spatial analyses, such as scoring, overlay and intersect methods, to determine the priority level class and the typology of GOS priority. A qualitative analysis was also conducted through data triangulation or comparison methods, such as examining existing land use, GOS priority maps and spatial plan policies. Findings The findings show that the total UHI area in Samarinda City was 6,936.4 ha in 2019 and is divided into three classifications. In Class 1, the UHI area is very dominant, reaching 87% of the total area. Meanwhile, the main results identified two priority classes of GOS in Samarinda, namely, the medium and high categories with an area of 960.43 ha and 113.57 ha, respectively. The results also showed that there were 17 typologies associated with five alternative mitigation measures: green industry, greening parking lots, improving urban green infrastructure and buildings, urban greening and mining restoration. Research limitations/implications Specific to assessing UHI, image data were available only in medium spatial resolution, leading to a consequence of detailed accuracy. In addition, since the determination of mitigation considered local policies, the method should be used in other locations requiring adjustments to existing regulations, specifically those related to spatial planning. Originality/value This study makes a significant contribution to the understanding of the UHI phenomenon in Indonesia, especially in the urban areas of Kalimantan Island. In addition, the study presents new insights into alternative mitigation actions to reduce the risk of UHI. Innovatively, this study introduces a typology of regions associated with appropriate alternative mitigation actions, making it an important achievement for the first time in the context of this study.

Spatiotemporal trends and covariates of Lyme borreliosis incidence in Poland, 2010–2019

Lyme borreliosis (LB) is the most commonly diagnosed tick-borne disease in the northern hemisphere. Since an efficient vaccine is not yet available, prevention of transmission is essential. This, in turn, requires a thorough comprehension of the spatiotemporal dynamics of LB transmission as well as underlying drivers. This study aims to identify spatiotemporal trends and unravel environmental and socio-economic covariates of LB incidence in Poland, using consistent monitoring data from 2010 through 2019 obtained for 320 (aggregated) districts. Using yearly LB incidence values, we identified an overall increase in LB incidence from 2010 to 2019. Additionally, we observed a large variation of LB incidences between the Polish districts, with the highest risks of LB in the eastern districts. We applied spatiotemporal Bayesian models in an all-subsets modeling framework to evaluate potential associations between LB incidence and various potentially relevant environmental and socio-economic variables, including climatic conditions as well as characteristics of the vegetation and the density of tick host species. The best-supported spatiotemporal model identified positive relationships between LB incidence and forest cover, the share of parks and green areas, minimum monthly temperature, mean monthly precipitation, and gross primary productivity. A negative relationship was found with human population density. The findings of our study indicate that LB incidence in Poland might increase as a result of ongoing climate change, notably increases in minimum monthly temperature. Our results may aid in the development of targeted prevention strategies.

Comparative analysis of key factors influencing urban green space in Mashhad, Iran (1988–2018)

This paper analyzed the role of national economic factors, in addition to some key city-level variables, in the variation of the urban green space (UGS) in Mashhad City (Iran) during three decades (1998–2018). The correlation result revealed the effects of the increasing trend of land price, population rate, and construction of built-up areas in the decreasing trend of UGS in the study area (R from − 0.95 to -0.99 at p-value > 95%). Also, the country-level economic factors, i.e., GDP per capita, oil price, export total value, and FDI, represented the overall increasing trend from 1988 to 2018, correlating with the decrease of green space areas (R from − 0.76 to -0.92 at p-value > 75%). Some statistical analyses, such as the run-test, the skewness and kurtosis tests, the Kolmogorov-Smirnov test, and the ANOVA test were done to confirm the normality of the data distribution and reliability of the results. Ultimately, clustering the research variables based on the significance and confidence levels of the estimated correlation results revealed that the change in the oil price and national export values in the petroleum-dependent economy of Iran can be assumed as the lead key economic factors to fluctuate all city-level variables, particularly the UGS variations.

Floral abundance and corolla length predict the importance of species in connecting urban green areas

Despite the growing urbanization rate and its consequences on biodiversity and species interactions worldwide, the connection among urban green areas, performed by interacting species, is still poorly understood. We evaluated how plant and hummingbird species vary across the urban landscape of a tropical city in Brazil, identifying traits of species taking part in shared interactions between areas. We recorded plant-hummingbird interactions in five green spaces and two remnants of native vegetation, and: (1) contrasted species traits and species-level indices of both plants and hummingbirds; (2) evaluated how species and interactions vary among pairs of areas; (3) used a meta-network approach to identify which pairs of interacting species are more important in connecting areas. Species turnover was the component that better explained the beta-diversity of interactions among sites. In green spaces, plant species presented greater centrality and longer corollas than in remnants. However, both plants and hummingbirds were similarly specialized regardless of the type of area. Trees with large floral displays and with longer corollas shared more interactions and were present in more networks. Most interactions recorded in remnants are unique to them, due to the exclusiveness of some hummingbirds and plant species in such native habitat and are, thus, more sensitive to habitat conversion. Our findings support the importance of preserving remnants and using mass flowering native species in urban afforestation to maintain plant-hummingbird interactions and promote urban biodiversity. We evidenced that few interactions (16.6%) were redundant across areas, indicating a highly susceptible and fragmented system in the urban space.

Urban Green-Space: Environmental Justice & Green Gentrification

In cities across the world, both in the global South and North, the distribution of urban green spaces exhibits stark inequalities. Affluent neighborhoods are often graced with abundant, well-maintained parks and green areas, offering residents a higher quality of life and environmental benefits. In contrast, communities with lower incomes and minority populations frequently face a scarcity of such spaces, and the green areas they do have tend to be of lower quality. This disparity not only reflects broader social and economic inequities but also has significant implications for public health, environmental justice, and social cohesion. Efforts to rectify this imbalance, while well-intentioned, can inadvertently lead to gentrification. Improving green spaces in underserved neighborhoods often makes these areas more attractive to higher-income groups, driving up property values and living costs. This process can displace long-term, lower-income residents, ironically exacerbating the very inequalities such initiatives aim to address. The resulting gentrification can also lead to increased homelessness among the most vulnerable populations. Thus, urban planners and policymakers face a complex, paradoxical challenge: how to equitably enhance urban greenery without contributing to gentrification and the further marginalization of low-income communities. This dilemma underscores the need for inclusive, carefully considered strategies in urban environmental planning that prioritize the needs and voices of all residents, especially those in historically marginalized communities.

Impact of changing urban typologies on residential vegetation and its climate-effects – A case study from Helsinki, Finland

Residential green spaces are an integral part of urban green infrastructure and its role in climate change adaptation and mitigation. Various urban typologies and changing planning practices affect the amount and structure of residential greenery, which has a direct impact on climate benefits. While urban green and its climate benefits have received increasing attention, there is still limited knowledge on how changing planning practices and related urban typologies impact residential vegetation and its capacity to deliver climate benefits. This paper aims to address this gap by determining the impact of planning practices on residential vegetation, focussing specifically on climate mitigation and adaptation. With the case study of Helsinki, characterized by a high share of green areas, the paper first examines how construction year and urban density affect the amount and structure of vegetation on residential properties. Second, it estimates the carbon sequestration and summer temperatures in the present-day climate. The paper applies spatial modelling and regression analysis to estimate the impact of construction year on the studied dependent variables, while controlling density via gross floor area of buildings. The study demonstrates that the average amount of residential vegetation, as measured using canopy and vegetation cover, has declined 15 percentage points from the 1970 s to early 2010 s and the canopy to low vegetation ratio has decreased constantly over the periods studied. The decline of the canopy cover in particular has reduced the climate benefits of residential vegetation. The paper highlights the significant impact of gross floor area and planning practices on urban vegetation cover and the climate benefits it provides. It also stresses the importance of ensuring sufficient tree cover and permeable surfaces in cities with progressive climate mitigation agenda throughout the chain of urban planning, construction, and subsequent property management stages.

The equigenic potential of green window views for city dwellers’ well-being

Previous studies found smaller differences in well-being between socio-economic status groups in very green urban areas. We argue that the view of greenery from home is the fundamental unit of a green neighborhood and analyze its relationship with residential satisfaction. Drawing on the equigenesis hypothesis, we expect that lower-class citizens benefit more from green window views than upper-class citizens. The data come from a population survey with a random selection of 1,800 respondents in two purposefully chosen German cities that collected extensive information on both perceived neighborhood greening and social background. The results show that green window views are associated with increased residential satisfaction, which is particularly pronounced among lower class citizens. The findings are robust against environmental stressors and further indicators of wealth associated with having green window views. The study provides new insights into the benefits of greenery in compact cities and supports the hypothesis of its equigenic potential.

Disruptions to early childhood preschool services during a pandemic: Evidence from India

Much less is known about the impacts of the COVID-19 pandemic on the provision of early childhood preschool services relative to research on school closures. We conducted surveys of more than 5000 early childhood service providers and leverage temporal and spatial variation in India’s intensity of lockdowns to quantify disruptions to preschool services under the world’s largest early childhood development program between areas with different strictness of lockdown measures. We document a 23 percentage point reduction in the provision of preschool services in red zone lockdown areas (strictest measures) relative to green zone lockdown areas (least strict measures). We find that pre-COVID measures of high worker locus of control and public service motivation offset the reduction in differential preschool service provision by 27–37%.

Micro and macro urban heat islands in an industrial city: Bradford, UK

The urban heat island (UHI) phenomenon refers to the temperature difference(s) between urban/built environments and suburban/natural areas. It affects energy use, health, water quality, and in brief, the quality of life in cities. Understanding the magnitude of this issue could help urban planners and decision makers to better implement green interventions into their cities. This paper shows the results of field measurements carried out to study the UHIs in Bradford, as one of the most deprived cities in the UK with minimum green infrastructure. In the first phase of the study, air temperatures were measured in twenty locations (four areas) with different land covers in Bradford. These measurements were called micro UHI study, as the air temperatures were measured in areas within the boundaries of the city. Data were collected in late summer and early winter. The results showed that the UHI is more sensible in the colder day (with average 0.6 °C cooler air temperature in a green area compared to the city centre). Greener areas experienced higher wind and lower air temperatures compared to dense urban settings in December. In the second phase of the study (macro scale), diurnal air temperatures from a residential (urban) versus a rural site were compared during a heat wave episode (seven days). It was observed that the rural site was 0.8 °C cooler than the residential/urban site. The maximum temperature differences occurred during the nights/early mornings between the two sites (3.2 °C at 5:00am).

Spatial-temporal patterns and influencing factors of the Building Green View Index: A new approach for quantifying 3D urban greenery visibility

The vertical expansion of urbanization has increased the morphological heterogeneity of the urban landscape, affecting the physical and emotional wellbeing of urban dwellers by obstructing the view of greenery. In this study, multisource spatial data was used to calculate the building green view index (BGVI). Baidu Street View (BSV) images were collected for comparison with the corresponding BGVI results. A random forest model was used to analyze the contributions and marginal effects of multiple influencing factors on BGVI. The results indicated that approximately 76.10% of the sampled sites had a higher BGVI than the street view green view index, indicating buildings' superiority of visible greenery in height. The western edge of the research region frequently had the highest BGVI. Meanwhile, the hotspot regions were primarily located in the west, which was more consistent with the distribution of high value zones. The green area within the maximum visible distance, the maximum visible distance, and average height were the most influential factors of BGVI according to marginal effects analysis with the highest IncNodePurity. As a quantitative measure of urban dwellers’ visual accessibility to green space, the BGVI will contribute to urban green planning and the development of landscape architecture.

Perceptions of stakeholders on nature-based solutions in urban planning: A thematic analysis in six European cities

A commonly addressed aspect of urban planning involves the integration of nature-based solutions (NBS). Before applying NBS, acquiring stakeholders' viewpoints, e.g., city councils, local governments, and academia, contributes to the successful application and thus to mitigation of global challenges such as climate change, loss of biodiversity, water, and food scarcity. The present study explores how stakeholders across Europe view the role of NBS in urban planning. A thematic analysis was conducted to identify patterns, themes, and concepts within interview transcripts gathered through semi-structured interviews held in Budapest, Cordoba, Ljubljana, Reykjavik, Vienna, and Zurich. The study resulted in 107 distinctive codes categorized into NBS benefits, challenges, opportunities, NBS actors, and regulations. The frequency of codes (Fr) mentioned by the interviewees showed that NBS benefit cooperation (Fr=125) between individuals, while the most challenging issue obstructing NBS implementation was the lack of NBS knowledge (Fr=93). The need for green areas (Fr=42) was identified as an opportunity that could give rise to NBS applications. This study also provides practical recommendations to overcome some barriers when implementing NBS.

Urban Development and Climate Change: Implications for Educational Tourism Destination Planning

Global warming caused by greenhouse gas emissions, transportation, and the transformation of land use caused by population growth is a critical problem that requires immediate and urgent interventions, especially in popular tourism destinations where the impact on quality of life is intense. In recent years, while new urban developments have been carried out for higher education institutions, less attention has been paid to the environmental implications of such expansions. Surprisingly, despite a growing interest in climate change action in educational institutions, little is known about the link between Land Surface Temperature (LST) variability and Surface Urban Heat Island (SUHI) of university campuses and their host communities. To fill the gaps mentioned earlier, this study aims to provide a comprehensive analysis of the spatial and temporal variability of the SUHI and the LST within a university campus and its surrounding urban environment. Using Sentinel 3 images and the TsHARP algorithm, the LST was determined, the SUHI was calculated, and the hot spots were obtained in an educational tourism hub; Famagusta, Cyprus. The Panel Data and ANOVA techniques were used for the subsequent analysis of the findings. Findings indicated that due to its low-rise buildings and large green areas, the studied campus not only had little contribution to the creation of SUHI but even minimized its effects on the urban areas attached to it. These findings provide valuable implications for authorities in standardizing criteria for future university establishments.

Analysis of rainwater utilization technology and current situation in the roof garden

The urban water environment has been deteriorating over the last decade due to land development and climate change, increasing the pressure on urban stormwater drainage systems. With economic development, the value of buildings has also been challenged at a higher level. Roof garden, as a new form of roof treatment, can effectively increase the urban greening area and compensate for the ecological and water environments that have been damaged by building development and utilization. This paper analyzes the advancement of roof garden by comparing it with the traditional sloped roof. The analysis finds that roof gardens can store water and control drainage, and have significant advantages in reducing rainwater discharge, reducing building water demand, and improving the urban water cycle. Roof gardens not only have the ability to utilize rainwater efficiently, but also come with a series of economic, ecological, and social benefits, such as improving the urban heat island effect, saving the amount of water demanded by buildings, and energy consumption. By analyzing domestic and international cases of roof gardens, it is verified that roof gardens are designed as a combination of utility and aesthetics.

Integration of Building Information Modeling and Stormwater Runoff Modeling: Enhancing Design Tools for Nature-Based Solutions in Sustainable Landscapes

Building information modeling (BIM) has been used by the architectural and engineering disciplines to streamline the building design, construction, and management process, but there has been much more limited experience in extending the application to landscape design and implementation. This study integrated BIM software (Autodesk InfraWorks 2024.1) with a dynamic, process-oriented, conceptual hydrologic/hydraulic model (PCSWMM 2023, version 7.6.3665) to enhance the analytical tools for sustainable landscape design. We illustrate the model integration through a case study that links an existing nature-based solution (NbS) development, the PTT Metro Forest Park, Bangkok, Thailand, with theoretical new-build NbS for an adjacent property. A BIM school building was virtually situated on an empty lot beside the Metro Forest Park and seven NbS scenarios were run with design storms having 2-year, 5-year, and 100-year return intervals. The combination of a rain garden, permeable pavement, a retention pond, and a green roof was effective in sustainably managing runoff from the theoretical new-build site discharging to the Metro Forest. NbS design characteristics such as rain garden substrate depth and green roof area were optimized using the hydrologic/hydraulic model. Model results showed that even with the 100-year rainfall event, the existing Metro Forest pond storage capacity was sufficient so that flooding on the property would not occur. The consideration of connectivity between NbS features is facilitated by the modeling approach, which is important for NbS planning and assessment at a regional scale.

Soil organic carbon as an indicator of land use impacts in life cycle assessment

Abstract Purpose Anthropogenic activities are a major driver of soil and land degradation. Due to the spatial heterogeneity of soil properties and the global nature of most value chains, the modelling of the impacts of land use on soil quality for application in life cycle assessment (LCA) requires a regionalised assessment with global coverage. This paper proposes an approach to quantify the impacts of land use on soil quality, using changes in soil organic carbon (SOC) stocks as a proxy, following the latest recommendation of the Life Cycle Initiative. Methods An operational set of SOC-based characterisation factors for land occupation and land transformation were derived using spatial datasets (1 km resolution) and aggregated at the national and global levels. The developed characterisation factors were tested by means of a case study analysis, investigating the impact on soil quality caused by land use activities necessary to provide three alternative energy supply systems for passenger car transport (biomethane, ethanol, and solar electricity). Results obtained by applying characterisation factors at local, regional, and national levels were compared, to investigate the role of the level of regionalisation on the resulting impacts. Results and discussion Global maps of characterisation factors are presented for the 56 land use types commonly used in LCA databases, together with national and global values. Urban and industrial land uses present the highest impacts on SOC stocks, followed by severely degraded pastures and intensively managed arable lands. Instead, values obtained for extensive pastures, flooded crops, and urban green areas often report an increase in SOC stocks. Results show that the ranking of impacts of the three energy systems considered in the case study analysis is not affected by the level of regionalisation of the analysis. In the case of biomethane energy supply, impacts assessed using national characterisation factors are more than double those obtained with local characterisation factors, with less significant differences in the other two cases. Conclusions The integration of soil quality aspects in life cycle impact assessment methods is a crucial challenge due to the key role of soil conservation in ensuring food security and environmental protection. This approach allows the quantification of land use impacts on SOC stocks, taken as a proxy of soil quality. Further research needs to improve the assessment of land use impacts in LCA are identified, such as the ability to reflect the effects of agricultural and forestry management practices.

LULC dynamics and the effects of urban green spaces in cooling and mitigating micro-climate change and urban heat island effects: a case study in Addis Ababa city, Ethiopia

Abstract Land surface temperature (LST) increment and Urban Heat Island (UHI) variability are major urban climatology issues in urban development. Urban green spaces (UGSs) play a vital role in combating micro-climate change. This study assesses the effects of UGS in cooling and mitigating micro-climate change in Addis Ababa City. Remotely sensed data from Landsat5 TM (1990), Landsat7 ETM+ (2005), and Landsat 8 OLI/TIRS (2021) were used. LST was retrieved using mono-window and split-window algorithms. Regression and correlation analysis of LST and Normalized Difference Vegetation Index (NDVI) were performed in SPSS V23. Results show that UGS proportion decreased from 120.4 km2 in 1990 to 76.26 km2 in 2021. Multiple linear regression analysis revealed that built-up and green vegetation accounted for 92.2% of LST variations in Addis Ababa City. Cooling efficiency (CE) and threshold value (TVoE) of green space were calculated as 4.5 ± 0.5 ha, indicating that allocating a green space area of 4.5 ± 0.5 ha through urban planning is the most efficient in reducing heat effects. Strengthening public participation in urban greening is crucial for mitigating micro-climate change and promoting sustainable urban development and better quality of life.

How to Create Healthy, Stress-Resilient Post-Pandemic Cities

This article analyzes the correlation between the city size, population density and character of three Polish cities and the following aspects: (1) inhabitants’ subjective stress level and its change during the COVID-19 pandemic, (2) sources and effects of their stress during the pandemic, (3) ways of reducing stress by residents and the role of greenery in this respect and (4) directions of changes in the structure of post-pandemic cities desired by their residents. The main research method was geo-surveys, the results of which were developed using statistical analysis and GIS methods. On the basis of the constructed scale, respondents subjectively assessed the level of experienced stress and its change during the COVID-19 pandemic. The research shows that none of the considered features of cities (including size measured by the number of inhabitants) are related to the level of pandemic stress of their inhabitants. All of them, on the other hand, are correlated with the directions of urban spatial development desired by the residents, conducive to stress reduction. Furthermore, the size of the city and its character affect the subjectively perceived change in stress levels during the pandemic (compared to the stress level before pandemic). Some of the effects of pandemic stress and ways of reducing it depend on the character of the city. The stress experienced by the inhabitants is the lowest in cities with the largest share of green areas in the spatial structure (especially with forest complexes and naturally shaped areas of river valleys), where an effective system of greenery has been adopted (the Howard’s garden city model), and at the same time with dominant single-family housing. The research results were used to indicate new directions for shaping post-pandemic cities that are more resistant to stress and thus healthier for their residents.

Preferences of Adults for Synanthropic Flora in the Sustainable Development of Polish Cities’ Green Areas

Synanthropic flora (weeds, i.e., spontaneously developed plants) are plants that accompany humans, appearing as a result of anthropopressure as well as after its cessation. The potential of synanthropic flora in shaping green areas usually brings many measurable benefits that depend on land management in cities. This study aimed to determine the preferences and attitudes of adults towards synanthropic flora in settlement units. This article presents survey results from 447 city residents. The obtained results were statistically analyzed using the k-means clustering method to identify segments of respondents with similar attitudes and preferences toward synanthropic flora. Mann–Whitney U tests were employed to determine statistical differences in the demographic variables among the analyzed clusters of respondents. Additionally, multiple regression analysis was performed to identify the opinions and attitudes towards synanthropic flora that may influence their greater acceptance in the vicinity of residential areas. The results obtained in the multiple regression analysis indicate that the respondent’s evaluation of the level of support for the introduction of more synanthropic vegetation into urban greenery (Yw) grows with the increase in the acceptance of synanthropic plants’ occurrence in the surroundings. Residents’ acceptance of synanthropic flora in green areas is at a relatively high level.

The association of the physical and social environment with mortality in urban areas: an ecological study on the city of Bologna, Italy.

The urban environment influences health through many pathways. The aim of the present study was to map the distribution of mortality, environmental predictors (distribution of green areas and transport networks), and social predictors (income deprivation) in the mid-sized city of Bologna (Italy), and to analyse the relationship between these variables. The study employed an ecological cross-sectional design using data from public sources. The units of analysis were the 18 city districts. The percentage of green areas, percentage of transport networks and age-standardised mortality rates were calculated for each district. These variables, and an indicator of income deprivation, were plotted on the city map to analyse their distribution. Simple and multiple linear regressions with mortality as the outcome and environmental and social data as predictors were run. The results showed an unequal distribution of the variables in the city, with the north-eastern districts presenting worse values. Green areas did not result significantly in being related to mortality. The income indicator and transport networks have an impact on mortality in the simple regression, but only transport networks were found to have a statistically significant relation with mortality in the multiple regression. The results suggested that living close to major transport networks could affect mortality rates in the city, but further research is needed. Future studies are also needed to analyse the interaction between environmental exposures and socioeconomic factors in affecting health. These findings can be useful for urban planning and health promotion interventions.

Industrial location and urban macroform prediction model based on cellular automata and multi-criteria decision-making methods (ILAUFM)

AbstractThe relationships between industrialization and urban regions, as well as technological advancements, innovations, and new work patterns and organizations, significantly impact the structuring of cities. Industrial sectors can become key drivers in shaping the form and macrostructure of a city over time. By examining and evaluating the existing system of structures and relations in the settlements in order to “estimate the land use differentiations” that may arise in the future and “to determine the spatial location of industrial facilities or sites,” a model has been developed. This model aims to predict potential “land use differentiations” and determine the “spatial location selection of industrial facilities or sites” in the future based on the analysis and evaluation of existing structures and relational systems in settlements. The model consists of the integration of the LUCAM, which is based on a cellular automata operating system, along with the “GIS-Based Integrated Industrial Area Location Selection Model,” which evaluates all data under the main headings of natural structure characteristics, socio-economic structure characteristics, and built environment characteristics using weighted overlay analysis. In this article, the general structure of the model developed within the scope of the research and İnegöl sampling are explained. The outputs of this model can be used for alternative separation for logistics centers, residential areas, secondary centers, reinforcement areas, and industrial sites in different settlements. In addition, in the research, a detailed model was designed by integrating decision-makers (central administrations, local administrations, registered users, NGOs) into the urban planning process. The proposed model can be used as a tool in designing transportation and other urban systems (distribution order of equipment areas, green area system, grading of centers, etc.).