Urban Park Area Research Articles

Hierarchical geofencing for location-aware generative audio tours

AbstractThis study aims to restructure a location-aware audio guide mobile application designed for urban walking tours. Traditional points of interest-based geofencing, which triggers automatic guide delivery as users approach specific locations, struggle to provide continuous and consistent storytelling in areas with limited notable spots, thereby diminishing tourist experiences. To address this challenge, we propose a hierarchical geofencing framework that forms the basis for seamless audio guide experiences through scale-based feature switching and the definition of story serialization rules. In addition, this study proposes geofence-to-conversation techniques utilizing text-to-speech engines and large language models to dynamically adapt guide document resources to dynamic tourists’ movements. A demonstration conducted in a historic urban park area highlighted that the guide generation time in both English and Japanese guide modes is significantly shorter than playback duration, confirming technical feasibility for seamless regional storytelling. Furthermore, we define metrics such as starting time errors, ending time errors, undelivered time to evaluate the real-time performance of location-aware audio guide applications. The experimental results demonstrate effective strategies for geofence configuration and operations, enhancing user experiences in our generative audio tours. This intelligent guide approach, designed for complex urban environments, is expected to enrich tourism and foster regional learning.

Research on Site Selection Planning of Urban Parks Based on POI and Machine Learning—Taking Guangzhou City as an Example

Against the background of smart city construction and the increasing application of big data in the field of planning, a method is proposed to effectively improve the objectivity, scientificity, and global nature of urban park siting, taking Guangzhou and its current urban park layout as an example. The proposed approach entails integrating POI data and innovatively applying machine learning algorithms to construct a decision tree model to make predictions for urban park siting. The results show that (1) the current layout of urban parks in Guangzhou is significantly imbalanced and has blind zones, and with an expansion of the search radius, the distribution becomes more concentrated; high-density areas decrease from the center outward in a circle, which manifests as a pattern of high aggregation at the core and low dispersion at the edge. (2) Urban park areas with a service pressure of level 3 have the largest coverage and should be prioritized for construction as much as possible; there are fewer areas at levels 4 and 5, which are mainly concentrated in the central city, and unreasonable resource allocation is a problem that needs to be solved urgently. (3) There was a preliminary prediction of 6825 sites suitable for planning, and the fit with existing city parks was 93.7%. The prediction results were reasonable, and the method was feasible. After further screening through the coupling and superposition of the service pressure and the layout status quo, 1537 locations for priority planning were finally obtained. (4) Using the ID3 machine learning algorithm to predict urban park sites is conducive to the development of an overall optimal layout, and subjectivity in site selection can be avoided, providing a methodological reference for the planning and construction of other infrastructure or the optimization of layouts.

Impact of Urban Forest and Park on Air Quality and the Microclimate in Jinan, Northern China

Though the impact of urban vegetation on air quality and the microclimate has attracted increasing attention, there have been few studies quantitatively assessing this impact in North China, where air pollution is severe. In this study, we investigated the impact of urban forests and urban parks on air quality and the microclimate in Jinan, northern China. Six sites were chosen to represent urban forest, urban park, and downtown areas, respectively. The results indicate that urban forest can effectively reduce PM2.5 and ozone (O3) concentrations in the warm season, when temperatures are higher and plants are lush. The PM2.5 and O3 concentrations in the urban forest areas were 6.3–6.5 μg m−3 and 21–23 μg m−3 lower than those in downtown areas during the period of 10:00–15:00. In contrast, urban park areas can reduce PM2.5 concentrations but have little impact on gaseous pollutants such as nitrogen dioxide and O3. Furthermore, both urban forest and urban park areas reduced temperatures, by approximately 4.1–6.8 °C and 1.36 °C, respectively, and increased relative humidity, by about 13.4–12.9% and 0.9%, promoting a more comfortable thermal environment for residents. Therefore, this study highlights the crucial role of urban vegetation in improving air quality and creating a comfortable environment for residents.

The positive effect of blue luminescent pathways on urban park visitor’s affective states: A virtual reality online study measuring facial expressions and self-reports

The colour blue often elicits feelings of calmness and contentment, for which evidence has largely been provided in daytime settings. It is unclear whether pathways illuminated in blue, for example, in urban recreational park areas at night confers the same positive impact on night time park visitors. To tackle this open empirical question, we investigated how adding blue self-luminous pavement to park lighting at night time affects park visitors’ emotions compared to conventional white street light illumination. Our goal is to inform design decisions aimed at enhancing the emotional well-being of people outdoors at night in urban environments. Participants’ emotional response was captured at four different time points while watching a video of a walk in a virtual urban park at night, which was lit with white street lights only or with the addition of blue luminescent pavement on the walked paths (between-subject design). To capture visitor’s emotions, we used a simplified version of the Geneva Emotion Wheel (GEW) instrument and online facial expression recognition technology as subjective (self-reports) and objective (physiological) measures of emotion, respectively. The results of the GEW self-reports showed that the addition of a blue self-luminous pavement in a park during night time yielded more positive affect than standard white lighting in park visitors for the first half of the walk. In the second half of the walk through the park, participants’ affective states seemed to equalize between the two lighting conditions. In contrast, sensory data on facial expressions indicated no difference between participants’ emotional states over the whole walk in the two experimental conditions. Consistent with the positive emotional state perceived in the second half of the walk, the state of relaxation experienced after the walk also did not differ between the two lighting conditions. Furthermore, participants’ relaxation judgements after the park walk were more negative overall for females than the more neutral ratings of males. Our results highlight the importance of lighting colour at night for the design of future affect-smart cities that may consider individual and group characteristics with the ultimate intent of promoting public well-being.

Spatial heterogeneities of residents' sentiments and their associations with urban functional areas during heat waves– a case study in Beijing

The intensification of global heat wave events is seriously affecting residents' emotional health. Based on social media big data, our research explored the spatial pattern of residents' sentiments during heat waves (SDHW). Besides, their association with urban functional areas (UFAs) was analyzed using the Apriori algorithm of association rule mining. It was found that SDHW in Beijing were characterized by obvious spatial clustering, with hot spots predominately dispersed in urban areas and far suburbs, and cold spots mainly clustered in near suburbs. As for the associations with urban function areas, green space and park areas had significant effects on the positive sentiment in the study area, while a higher percentage of industrial areas had a greater impact on negative SDHW. When it comes to combined UFAs, our results revealed that the green space and park area combined with other functional areas was more closely related to positive SDHW, indicating the significance of promoting positive sentiment. Subdistricts with a lower percentage of residential and traffic areas may have a more negative sentiment. There were two main combined UFAs that have greater impacts on SDHW: the combination of residential and industrial areas, and the combination of residential and public areas. This study contributes to the understanding of improving community planning and governance when heat waves increase, building healthy cities, and enhancing urban emergency management.

Assessing biodiversity's impact on stress and affect from urban to conservation areas: A virtual reality study

Biodiversity is the essential foundation of ecosystem stability and significantly influences human health. However, the specific impacts of broadly varied biodiversity levels across diverse greenspaces on mental well-being remain unclear. In this randomized controlled trial, immersive virtual reality (VR) auditory-visual simulations, emulating real biodiversity scenarios, were employed to investigate the effect of diverse biodiversity levels on stress and affect. After an induced stress phase, participants (N = 90) were randomly assigned to a ten-minute immersion in one of three settings: urban park, peri-urban park, or nature conservation area. Physiological responses were measured via skin conductance level (SCL) and significant skin conductance responses (nSCR), while psychological responses were evaluated using Positive Affect and Negative Affect Scale (PANAS). Additionally, the Perceived Restorativeness Scale (PRS) was employed to evaluate restoration potential. Repeated measures analysis of variance revealed that immersion in the peri-urban park and nature conservation area was associated with a significantly faster and more substantial decrease in SCL compared to the urban park. nSCR in the nature conservation area remained significantly lower than in the urban park. While immersion in all three natural environments significantly diminished negative affect, the nature conservation scenario was associated with a substantial decline in positive affect and received the lowest rating on the subjective restorativeness. A psychological benefit threshold related to biodiversity was observed, in contrast to the absence of a corresponding physiological threshold. This disparity suggests that an innate genetic affinity for high biodiversity may persists, unaffected by acquired experiences. Our study underscores the stress recovery benefits of high-value ecological environments, thereby fostering an avenue for further investigations into human-ecological health interconnections.

Effects of land use patterns on PM10 concentrations in urban and suburban areas. A European scale analysis

Landscape structure, the spatial characteristic of land cover, is a key factor in air quality. In this study, we investigate the connection between different land-use category areas taken from the 2018 Urban Atlas and the European Environmental Agency's monthly average coarse particulate matter (PM10) concentrations. We identified the main PM10 emission-source land-use categories that restrict the transmission of PM10 and therefore reduce PM10 concentrations in urban and suburban areas. According to our results, water, forest and urban park areas inside differently sized buffer zones surrounding PM10 monitoring stations have an obvious clearing effect on PM10 concentrations throughout almost all seasons, while there is a positive correlation between areas of vacant land, railways and mine, dump and construction sites and monthly PM10 concentrations. In addition, the strong effect of the correlation between built-up areas, industrial areas and roads and monthly average PM10 concentrations changes seasonally. Air pollution from motor vehicles shows a significant positive statistical relationship with PM10 concentrations only in the summer, but in contrast, during the heating (cold) period, because of motor vehicle driving (secondary) winds, traffic corridors have a significant decreasing effect on PM10 concentrations. By understanding the effect of different land use/land cover patterns on PM10 concentrations and variability, we can derive precise spatial urban planning strategies that are adaptable for health care.

Investigation of the ENVI-met model sensitivity to different wind direction forcing data in a heterogeneous urban environment

Abstract. As the frequency of extreme heat events in cities is significantly increasing due to climate change, the implementation of adaptation measures is important for urban planning. Microclimate modelling approaches enable scenario analyses and evaluations of adaptation potentials. An ENVI-met microclimate model was setup for a heterogeneous urban study area in Cologne/Germany characterized by closed building structures in the eastern part and an urban park area in the western part. The goal of this paper is to evaluate the model sensitivity and performance to different wind direction forcing and demonstrate the importance of accurate wind forcing data for precise microclimate modelling evaluated with sensor measurements. To this end, we compared simulated air temperatures at 3 m height level using measured wind direction forcing data with simulated air temperatures using constant wind direction forcing from west, north, east and south direction. All other forcing data like wind speed were kept exactly the same as in the reference run. This sensitivity study was performed for a warm summer day in 2022. The model results of all five model runs (reference plus four scenarios) were compared to microclimatological measurements derived from one station of a dense meteorological sensor network located in the study area using the simulated mean air temperatures. We found significant temperature differences between the four sensitivity tests and the reference run as well as to the sensor measurements. Temperature differences between the reference run and the measurements were small and a high statistical model fit could be determined (Nash Sutcliffe Model Efficiency Coefficient/NSE = 0.91). The four model runs with constant wind directions showed significantly larger differences to measurement data and a worse statistical correlation between simulated and observed data (NSE between 0.62 and 0.15). For constant west winds, cooler air temperatures and higher wind speeds were found in the urban park and in the streets and courtyards east of the park. Constant east wind causes warmer air temperatures in the urban park area and lower wind speeds in the street canyons and inner courtyards. This shows that cooling effects in adjacent building blocks due to the greened urban park largely depend on the wind direction. The sensitivity tests show that the wind direction effect can result in local air temperature differences of up to 4 K on average. These results shows that even on summer days with low wind speeds, accurate wind direction data is highly relevant for accurate air temperature simulation. This finding can have important implications for urban planning and the design of green infrastructures in cities, e. g. for the design of fresh air corridors.

Species composition of coniferous plant pests in urban landscapes of the Krasnodar Territory

The results of the studies of conifers as a material for landscaping of settlements, and as an accent and dominant in decorative compositions or in mono-planting are presented. The expansion of coniferous plant assortment for landscape construction of southern Russia in the 2000s was noted due to the introduction of crops from other regions with different natural and climatic conditions. Newly planted crops are under stress, which has a negative effect on the immune status of the introduced plants. The results of the study of the species composition of sucking pests of coniferous plants in urban landscapes are presented. The world experience in the studies of urban landscapes shows the expansion of the species composition of pests from the order of homopterous insects (Homoptera). Phytosanitary monitoring of ornamental conifers in urban plantations and park areas in the Kuban zone of the central horticultural subzone of the Krasnodar Territory in 2012-2022 was conducted. As a result of these studies, the species diversity of sucking pests of coniferous plants in the region has been identified, their ranking by the type of feeding has been carried out, and a database is being compiled. It has been found that the dominant representatives of the superfamily Coccidae in the region are: European juniper scale insect (Carulaspis juniperi Bouché) and yew pseudo scale insect (Parthenolecanium pomeranicum Kawecki), and pine spindle scale insect (Anamaspis lowi Colvee). The regularities of food specialization of scales are of not only theoretical but also practical importance. Based on the research, the probable composition of pests on a newly introduced crop can be predicted. The resulting patterns are one of the theoretical foundations of pest control measures.

A Multi-Country Study Assessing the Mechanisms of Natural Elements and Sociodemographics behind the Impact of Forest Bathing on Well-Being

Interventions such as forest bathing (slow, mindful nature walks) have been shown to increase our connection to nature and be an effective intervention for improving health and well-being. However, there is variation in the activities delivered during forest bathing and the guidance given. Few researchers have evaluated which activities, elements of nature, and senses are responsible for improvements in well-being. The current evaluation addresses this gap and also monitors the emotional state and nature connection following guided forest bathing walks. Participants (N = 1142) across 35 countries completed post-walk evaluation surveys online. Results suggest that well-being and nature connection were rated very highly following forest bathing activities. Experiencing happy feelings and trusting emotions were especially highly rated. The natural elements perceived as contributing the most to well-being were sound-related elements. In terms of sociodemographics, women had higher well-being and nature connection ratings than men; ratings were higher in specialised nature resort areas, with little difference between natural and urban park areas; higher scores were seen in the southern hemisphere and during hot or long-day seasons. This has implications for forest bathing, forest therapy, and nature-based training organisations and their guides who want to improve their method of intervention delivery, maximise well-being, and enhance nature connection.

A multi-functional nature-based solution (NBS) for greywater treatment and reuse at the same plot

Water stress is destined to worsen due to rapid urbanization, high population growth as well as huge water demand and climate change in the upcoming days. To make the cities more water resilient, greywater treatment and reuse can be a sustainable solution to prevent discharge of greywater into the environment and reduce the import of freshwater into the cities. The aim of this study was to investigate the feasibility of implementing a multi-functional nature-based solution (NBS) for decentralized greywater treatment and reuse at the same plot. Therefore, an aerated vertical-flow constructed wetland (AVFCW) with a design capacity of 8 PE (population equivalent) was combined with an innovative cover layer on top, so that the wetland surface can be used wisely (saving space) for irrigation with the treated effluent as well as protect the constructed wetland from high water loss due to evapotranspiration (EVT). In the first investigation phase, the results showed that applying such a cover layer on the wetland surface did not have any influence on the treatment performance of the AVFCW operating at the BDZ-Research and Demonstration Centre for Decentralized Wastewater Treatment in Leipzig, Germany. The results from the second investigation phase showed a highly efficient treatment performance of the AVFCW system (BOD5 > 90%, COD>93%, TSS > 93%, TN > 60% and log-removal for E.coli of 0.81 ± 0.45) when feeding with synthetic greywater at the site. In the effluent from the AVFCW, the mean concentrations of BOD5, TSS and E.coli were found to be as 9 ± 5 mg/L, 4 ± 2 mg/L and 7.0 ± 5.4 MPN/100 mL, respectively, and the achieved results were in compliance with the EU recommended limits for the most restrictive Class A standard treated water quality (BOD5 < 10 mg/L; TSS < 10 mg/L; E.coli < 10 MPN/100 mL) for agricultural irrigation. Soil characteristics data at the depth of 10, 15 and 20 cm within the cover layer showed no remarkable effect of irrigation with treated effluent on the soil properties. Overall, this study demonstrated that the integrated and multi-functional NBS can be implemented as a more practical and attractive technology for greywater treatment and reuse (via sub-surface irrigation) at the same plot and can improve the aesthetic in urban settlements (e.g. backyard garden of the urban households, public park, roadside and touristic areas) as well as in warm climatic conditions of arid/semi-arid regions worldwide.

Diet Composition of a Pair of Tyto furcata pratincola (American Barn Owl) in an Urban Park and Natural Area Fragment in South Florida

Tyto furcata pratincola (American Barn Owl) is a widespread bird of prey with great adaptability that can be found in partially urbanized areas. We examined the prey composition of a pair of American Barn Owls through dissection and analysis of a subset of cast pellets found at a roost site in an urban park in South Florida by comparing hair, bone, and teeth to online identification guides and museum specimens. The main identified prey species were rodents, with Sigmodon hispidus (Hispid Cotton Rat) accounting for 63.0% of all prey identified. Within the home range of these owls were 9 known colonies of endangered and common species of bats, but no evidence of depredation was found in the pellet analysis. Other small mammals, reptiles, and invertebrates made up the remainder of the diet, which is consistent with other similar studies in more natural settings.

KEANEKARAGAMAN JENIS BURUNG DI WILAYAH TAMAN KOTA SPATODEA DAN TABEBUYA, JAKARTA SELATAN

Urban parks in South Jakarta are the main component of green open spaces which act as habitat for birds in the cities. Aim of this study was to determine the diversity of bird species around the South Jakarta City Park. The research was conducted in October-November 2021 in the city parks of Spatodea and Tabebuya, South Jakarta. Bird data collection used the point count method, while plant data collection used an inventory system. Results showed that the Tabebuya Park location had 9 species of birds from 8 different families, while in Spatodea Park there were 8 bird species found. The Tabebuya City Park was found to have medium species diversity index value, medium evenness index value and low dominance value index. Spatodea city park had a low value index of species diversity, low evenness value index, and low dominance value index. The highest number of bird species obtained was 7 species in total. The results showed that the urban park area in South Jakarta had low to moderate range of bird species diversity. This could happen because birds in urban landscapes tended to be more sensitive to the presence of certain stratification of vegetation, especially tree stratification.

Distribution, source, risk and phytoremediation of polycyclic aromatic hydrocarbons (PAHs) in typical urban landscape waters recharged by reclaimed water

A park that had used reclaimed water as the sole water supply for fourteen years, was selected to analyze the distribution, sources and risks of 16 priority polycyclic aromatic hydrocarbons (PAHs) in waters and sediments. The effects of phytoremediation were investigated in waterbodies classified as phytoremediation, transitional and non-phytoremediation areas. Diagnostic ratio (DR) and principal component analysis (PCA) were used to analyze the sources of PAHs, while risk quotient (RQ) was used as risk assessment tool. Results showed that ∑PAH concentrations in sediments ranged from 29.4 to 1245.6 ng‧g−1, with average of 354.3 ng‧g−1, corresponding to a moderate pollution level. The concentration of PAHs in water ranged from 10.6 to 326.3 ng‧L−1, with average of 147.2 ng‧L−1, corresponding to a low pollution level. The ∑PAHs in sediments showed a downward trend from northwest to southeast along with the water flow direction, with average values of 459.5, 362.9 and 246.1 ng‧L−1 in the upstream, midstream and downstream, respectively. In contrast, PAH concentrations in water were consistent with recreational activities in the urban park area. There were 95% of water samples and 72% of sediment samples obtaining the Ant/(Ant + Phe) > 0.1 and Flu/(Flu + Pyr) > 0.5, indicating that coal combustion was the major source of PAHs in both the water and sediment. The RQ∑PAH(NCs) values in water and sediment were all between 1 and 800, while RQ∑PAH(MPCs) reached equal to 0, suggesting that ∑PAHs presented a low ecological risk. Acenaphthene accounted for 28.4% of RQ(NCs), and became the most risk PAH in water column. Aquatic plants effectively removed high-ring PAHs from water and middle-ring PAHs from sediments, reducing the overall risks posed by PAHs.

Парки г. Саранска как рекреационные объекты

The present study is devoted to the issue of creating a favorable urban environment in urbanized territories, as this is an important component of urban culture to ensure comfortable living and recreation conditions for citizens. It follows from history that green park areas in cities have long been of interest for the creation of natural objects of landscape architecture for recreational purposes. The authors of the article, relying on research in the field of landscape architecture, recreation, the creation of garden and park territories, Russian and foreign authors, cite key concepts related to the def-inition of the park and on their basis, formulate their own definition as an object of landscape architecture developed and artistically decorated for outdoor recreation, where the cultural and mass activities that meet the recreational needs of the city population are carried out. At the same time, emphasis is placed on the fact that park areas are the center of attraction for the recreation of citizens and play an important role in the life of both large megacities and small provincial cities. The city's park zones form the basis of its ecological framework, reducing the level of noise, dust and gas pollution of the air, and their landscaping adds variety to the landscape archi-tecture of the urban space. The authors gave a comparative description and assess-ment of the parks of Saransk, as a result of which their features and functional fea-tures were revealed, and a SWOT analysis revealed various aspects of the organiza-tion and further use of the studied recreational areas. The assessment of the identified factors of external and internal environment allowed to determine a set of measures that should be the basis for the development strategy of practical activities of urban parks as recreational facilities. Further development of urban park areas involves the effective use of available resources and their inclusion in tourism products.

Microclimatic field measurements to support microclimatological modelling with ENVI-met for an urban study area in Cologne

Abstract. Cities are particularly affected by climate change impacts. Due to global warming, the frequency and intensity of summer heat events increases for many cities around the globe. Urban climatological studies have shown significant positive trends in the number of hot days and tropical nights. Heat stress is an important health as well as economic risk. Thus, urban planning needs to adapt to climate change. This requires a sound scientific analysis of different adaptation measures and management options, which must be based on appropriate data, models and scenarios to assess their suitability and efficacy. The goal of this paper is to assess the suitability of a low cost weather station network consisting of 33 NETATMO weather sensors and ultrasonic anemometers to measure air temperature, relative air humidity, wind speed and wind direction of a 16 ha study area in Cologne with high temporal and spatial resolution to support microclimatological modelling. The temperature and humidity sensors were calibrated against a research grade reference sensor under laboratory conditions. In addition, a research grade meteorological station (Campbell Sci.) was set up in the study area as a reference. The NETATMO sensors were placed to identify local microclimatic effects due to different surface types, vegetation and building structures. Using descriptive statistical analyses and pairwise comparisons, significant differences in the microclimatic conditions of the various sites were found, which can clearly be attributed to specific small scale microclimate factors. Significant differences were particularly identified comparing an avenue and a narrow street as well as a backyard and an urban park area. The sensors proved to provide data reliably and with suitable quality to measure microclimatic effects. The choice of sensors lends itself well for citizen participation, needed to facilitate climate change adaptation. In our further research, the data will be used as reference data for microclimatological modelling with ENVI-met investigating particularly options of mitigating climate change effects.

An Empirical Study for Implications to Respond the Crisis of Local Population Decline in South Korea

In the non-Capital area of South Korea, it was found that the cause of the population decline was not solely due to the recent low birth rate. The severe population decline in the non-Capital area is due to the migration of the population to the Capital area. Therefore, this study looked at what regional development factors affect the local population increase. As a result of the regression analysis, the factors affecting population decline were the old housing rate, % of population in library service area, ratio of single-person households over 65, and water supply rate. As factors affecting population growth, green rate, number of residents in charge per 119 safety center, ratio of the school-age population within the elementary school service area, and urban park area per 1,000 people were derived. Based on the results of the empirical analysis, in order to respond to the crisis of local population decline, policies were proposed to remove the factors of population decrease and to activate the factors of population increase in non-Capital areas.

Comparing tree structures derived among airborne, terrestrial and mobile LiDAR systems in urban parks

ABSTRACT Measuring tree structure using three-dimensional (3D) mapping tools such as light detection and ranging (LiDAR) remote sensing is needed to provide well-managed and designed green spaces. The metrics used to estimate tree structure could be different depending on which LiDAR systems are used. This may lead to confusion and reduce confidence when evaluating tree structures and their derived products, such as plant area index (PAI). Therefore, studies that can determine similarities among measurements derived from different LiDAR systems are needed. In this study, structural canopy metrics in airborne laser scanning (ALS), terrestrial laser scanning (TLS), and mobile laser scanning (MLS) were compared to seek consistencies among the three LiDAR systems. The specific objectives were to test whether the estimates made by the metrics differed depending on single or clustered trees and to test whether LiDAR-derived errors in the metrics are related to tree structures. Tree point clouds were manually classified into single and clustered trees. Heights-related metrics, Rumple Index, area, and PAI were calculated for comparison analysis. Root-mean-square error (RMSE), bias, and Pearson’s correlation coefficient (r) were calculated to evaluate the consistencies in each metric among the LiDAR systems. The results showed that the maximum height of the point clouds (ZMAX) and max and mean heights derived from the canopy height models (minCHM and maxCHM) demonstrated good consistency (RMSE% < 10%, Bias% < 10%, and r > 0.900). Moreover, the biases from the ZMAX- and CHM-derived metrics comparisons among the LiDAR systems did not show strong linear relationships with the tree heights and canopy complexities (i.e. Pearson’s correlation coefficient r < |0.29|). On the contrary, the 95th percentile (Zq95) height and mean z height (ZMEAN) differed depending on the tree classes and showed significant linear relations with canopy heights and complexity. The configurations of LiDAR systems, such as point density and sensing locations, seem to affect the Zq95, ZMEAN metrics, and PAI. Our results suggest that assessing for consistencies among the different LiDAR systems is required before using multiple LiDAR systems interchangeably to estimate the structure of urban park areas.

History of Seoul’s Parks and Green Space Policies: Focusing on Policy Changes in Urban Development

Globally, urban areas have been expanding rapidly since industrialization. In South Korea, urban policy has evolved according to urban development, but the change in parks and green spaces policy for a pleasant urban environment is insignificant. The purpose of this study is to present the direction of the Seoul Metropolitan Government’s parks and green spaces policy in terms of green infrastructure, by examining urban policies and changes in the parks and green spaces policy of the Seoul Metropolitan Government. The research method established the concepts of urbanization, green park areas, and green infrastructure, focusing on a literature review. The trends in urban development in South Korea and abroad, the correlation between urban development and green park areas, and changes in the parks and green spaces policy of Seoul are examined. The study found that urbanization in South Korea has augmented since 1960, and the parks and green spaces policy has also focused on quantitative expansion. As the era of local autonomy passed, there were remarkable policy changes tailored to citizens’ needs, and major policy directions were determined according to the political inclinations of policymakers. The era of low growth adopted the policy of introducing green park areas as green infrastructure to solve urban environmental problems, and parks and green spaces policies as strategic plans to re-naturalize smart green cities and urban infrastructure, and to increase urban resilience using advanced technology. Future research is expected regarding consistent policy implementation measures linked to the state-regions, such as analyzing citizens’ perceptions of policies to solve urban problems and taking practical measures for the implementation of parks and green spaces policies to expand green infrastructure. The implication of the study is that the green infrastructure strategy is important as a solution to urban environmental issues such as climate change. Therefore, there should be a will of policymakers and strong institutional support for continuous policy promotion.

Micrometeorological measurements and biometeorological survey in different urban settings of Novi Sad (Serbia)

Due to rapid urbanisation, urban microclimate research has become increasingly popular in the last decade. Significant variation in microclimate conditions can be created due to diversity in urban geometry and it can affect outdoor thermal comfort. Biometeorological measurements and survey were conducted in different urban settings (square, park, street) of the city of Novi Sad during a warm autumn day in October 2019. Air temperature, relative humidity, wind speed and globe temperature, but also outdoor thermal comfort indices such as Mean Radiant Temperature (Tmrt) and Physiological Equivalent Temperature (PET) were obtained for each location. The largest differences in the biometeorological conditions are noticed between the urban park and other urban areas. The maximum average value of Ta was at the city square with 27.9 oC, while in the urban park and street Ta were about 25 oC. The values of RH were the lowest at the city square. Globe temperature (Tg) had the highest values, on average, at the city square (about 40 oC), while the average values in the urban park and street were about 26-28 oC. The highest average PET values are registered at the city square (41.4 oC), followed by substantially lower average PET registered in urban park (27.1 oC) and urban street canyon (26.2 oC). The analysis showed that during about 70% of the time, urban dwellers experience extreme heat stress at the city square. Contrary to that, no extreme heat stress is noticed in urban park and street canyon.