Taipei City Research Articles

The Implementation of Bilingual Education in Taiwan: A Case Study of Two Junior High Schools with a Bilingual Curriculum in Taipei City Using the FERTILE Model

The development of bilingual education has rapidly grown in the past few decades, with v and ying implementations reflecting each country’s political, social and cultural contexts. In response, the Taiwanese government launched the Bilingual 2030 policy in Taiwan to improve international competitiveness and communication. Employing the FERTILE model as the theoretical framework, this case study focuses on (1) comprehending the role of the administrative team in implementing bilingual education within schools and (2) exploring the function of bilingual teacher professional learning communities. The results indicate that the involvement of school administrative teams, along with the support from BPLCs, are essential for implementing bilingual education in schools. More importantly, this research highlights the importance of administrative teams in providing a supportive environment. Also, the support from administrative teams is significant for enhancing the function of BPLCs, which play a key role in improving teachers’ instructional strategies. The findings of this study can generate both theoretical and practical contributions to bilingual education in Taiwan. First, the findings provide schools and policy makers in Taiwan with valuable insights for fostering bilingual teacher professional learning communities. Second, the findings from the two case studies, which utilised the FERTILE model to implement bilingual education, can serve as references for its nationwide promotion.

Spatial and temporal analysis of scooter-induced traffic patterns and their environmental implications

Scooters are a popular means of transportation in urban areas. However, studies examining their spatial and temporal features are lacking. This study examined traffic patterns in New Taipei City from September 2021 to June 2023 using real-time surveillance camera images and the YOLOv4 algorithm. The focus of the study was to investigate the role of scooters in urban transportation and their effect on air quality. The findings revealed that sedans and scooters accounted for approximately 90% of the total vehicles, and their usage exhibited significant spatial and temporal variations across the city. Sedans were more prevalent in rural areas, whereas scooters were predominant in urban and suburban regions. An examination of diurnal patterns revealed that peak traffic occurred during early morning and evening rush hours, with distinct usage patterns between weekdays and weekends. Through hierarchical clustering, the city's stations were categorized into three types based on the dominant vehicle usage: sedan-dominant, sedan-prevailing, and scooter-dominant. The analysis also established a correlation between the number of vehicles and air pollution, highlighting the significant role of sedans and scooters as primary sources of emissions, particularly in areas where scooters were dominant. This suggests that the current emission inventories may underestimate the impact of scooters and buses on air quality while overestimating the trucks' contribution. Consequently, this study emphasizes the significance of scooters in determining urban air quality and advocates for improved monitoring and image identification technologies to accurately assess the numbers and speeds of scooters. These measures are essential for improving the accuracy of emissions inventories and forecasts, which are crucial for effective urban air quality management.

Intraosseous versus intravenous vascular access in upper extremity among adults with out-of-hospital cardiac arrest: cluster randomised clinical trial (VICTOR trial)

ObjectiveTo compare the effectiveness of intraosseous versus intravenous vascular access in the treatment of adult patients with out-of-hospital cardiac arrest.DesignCluster randomised controlled trial.SettingThe VICTOR (Venous Injection Compared To intraOsseous injection...

Field performance of 15 rain gardens in different cities in Taiwan

Rain gardens are widely used for low impact development (LID) or as a nature-based solution (NbS). They help to reduce runoff, mitigate hot temperatures, create habitats for plants and insects, and beautify landscapes. Rain gardens are increasingly being established in urban areas. In Taiwan, the Ministry of Environment (MoE) initiated a rain garden project in Taipei city in 2018, and 15 rain gardens have since been constructed in different cities. These Taiwanese-style rain gardens contain an underground storage tank to collect the filtrated rainwater, which can be used for irrigation. Moreover, the 15 rain gardens are equipped with sensors to monitor temperature, rainfall, and underground water levels. The monitoring data were transmitted with Internet of Things (IoT) technology, enabling the capture and export of real-time values. The water retention, temperature mitigation, water quality, and ecological indices of the rain gardens were quantified using field data. The results from the young rain gardens (1–3 years) showed that nearly 100 % of the rainfall was retained onsite and did not flow out from the rain gardens; however, if the stored water was not used and the tanks were full, the rainwater from subsequent storms could not be stored, and the tanks overflowed. The surface temperatures of the rain garden and nearby impermeable pavement differed by an average of 2–4 °C. This difference exceeded 20 °C in summer at noon. The water in the underground storage tanks had very low levels of SS and BOD, with averages of 1.6 mg/L and 5.6 mg/L, respectively. However, the E. coli concentrations were high, and the average was 6283 CFU/100 mL; therefore, washing or drinking water is not recommended. The ecological indices, i.e., the Shannon and Simpson indices, demonstrated the good flora status of the rain gardens after one year. Although the weather differed by city, the performance of the rain gardens in terms of water retention, temperature mitigation, rainwater harvesting, and providing biological habitats was consistent. However, maintenance influences rain garden performance. If the stored water is not frequently used, the stored volume is reduced, and the stored water quality degrades.

Factor analysis of traditional Chinese medicine symptoms for identification of syndrome patterns associated with idiopathic short stature in children.

Diagnosing idiopathic short stature (ISS) in Traditional Chinese Medicine (TCM) remains challenging partly because the symptoms and syndrome patterns vary among ISS patients and studies. We aimed to use factor analysis of TCM symptoms to identify syndrome patterns associated with ISS in children on the basis of TCM theory. A cross-sectional study was conducted at Taipei Tzu Chi Hospital, New Taipei City, Taiwan, from October 1, 2014, to February 28, 2016. The study included 957 individuals who were newly diagnosed with ISS through simple random sampling. The outcome measures comprised 34 TCM symptoms related to children's growth, and these symptoms were assessed using a five-level self-report questionnaire, which was completed by children and their parents. A factor analysis was conducted for the extraction of underlying factors. A total of 26 symptoms had factor loadings higher than the exact threshold value (0.4), and five factors were extracted. Factor 1, comprising seven symptoms, was interpreted as "yin deficiency and fire hyperactivity of kidney syndrome." Factor 2, which included eight symptoms, was interpreted as "phlegm dampness stagnation of spleen syndrome." Factor 4, which included five symptoms, was interpreted as "liver qi invading the spleen syndrome." Factor 5, which included four symptoms, was interpreted as "spleen-stomach weakness syndrome." Factor 3, which included four symptoms, was uninterpretable. Factors 1-5 accounted for 10%, 9%, 8%, 7%, and 6% of the total variance. Four major TCM syndrome patterns, namely, "yin deficiency and fire hyperactivity of kidney syndrome," "phlegm dampness stagnation of spleen syndrome," "Liver qi invading the spleen syndrome," and "spleen-stomach weakness syndrome" were identified and accounted for 40% of the total variance of the 34 TCM symptoms surveyed in children with ISS. Our findings may facilitate the diagnosis of ISS and the optimization of treatment strategies.

Molecular detection of toxoplasmosis in wild rats using loop-mediated isothermal amplification assay.

Toxoplasmosis is caused by the parasite Toxoplasma gondii. Cats are the only known hosts that excrete resistant oocysts. Wild rats serve as crucial reservoirs and intermediate hosts for T. gondii's survival and dissemination. Consuming soil and water containing oocysts can lead to illness. This study aimed to estimate the prevalence of toxoplasmosis in wild rats through molecular detection as an indicator of environmental contamination in Surabaya. One hundred rats were collected from the three areas (housing, dense settlements, and traditional markets) and distributed into the five zones: West, East, Central, North, and South of Surabaya. Brain tissue samples were extracted using a Geneaid™ (New Taipei City, Taiwan) DNA isolation kit and analyzed through the loop-mediated isothermal amplification (LAMP) method. The study analyzed brain tissue from 100 wild rats, consisting of 77 Rattus tanezumi and 33 Rattus norvegicus, displaying 30% LAMP positivity. The study revealed that 30% (30/100) of wild rats tested were infected with T. gondii. The molecular prevalence rate in male rats was 32.35% (22/68), compared to females with 25% (8/32). 41.9% of the housing population, 33.3% of traditional markets, and 22.6% of dense settlements had the highest molecular prevalence. The high positive molecular rate at the trapping site can be attributed to cats and dense populations. Thirty percentage wild rats were tested positive for toxoplasmosis in Surabaya, East Java, Indonesia using LAMP method. Implementing strict control and monitoring is crucial in preventing the transmission of diseases from wild rats to humans. It is necessary to carry out further research related to genetic analysis of T. gondii to determine the type of T. gondii that infects animals and humans in Surabaya through bioassay and molecular test.

The importance of mother-child interaction on smart device usage and behavior outcomes among toddlers: a longitudinal study

BackgroundIn recent years, smart devices have become an integral part of daily life. However, longitudinal studies, particularly those regarding the relationship between toddlers’ smart device usage and behavioral outcomes, are limited. Understanding the impact of parent–child interactions on this relationship is crucial for enhancing toddlers’ developmental outcomes. Accordingly, this study examined the influence of early screen time and media content exposure on toddlers’ behaviors, as well as the positive effects of mother–child interactions on this influence.MethodsWe used relevant data related to 277 children born between November 2016 and July 2020 and who were part of an ongoing prospective follow-up study conducted across five hospitals in Taipei City, Taiwan. We analyzed (1) data from maternal reports regarding children’s behavior by using the Child Behavior Checklist (for ages 11/2–5 years), (2) assessments of mother–child interactions by using the Brigance Parent–Child Interactions Scale, and (3) self-reported parental data covering the first 3 postpartum years. Statistical analyses involved group-based trajectory modeling and multiple linear regression.ResultsA considerable increase in screen time between the ages of 1 and 3 years was associated with less favorable behavioral outcomes at age 3. These outcomes included somatic complaints [adjusted beta coefficient (aβ) = 2.17, 95% confidence interval (CI) = 0.39–3.95, p-value = 0.01], withdrawal (aβ = 2.42, 95% CI = 0.15–4.69, p-value = 0.04), and aggressive behavior (aβ = 6.53, 95% CI = 0.25–12.81, p-value = 0.04). This association was particularly evident among children with lower levels of mother–child interaction. Nevertheless, positive mother–child interactions mitigated most of the adverse effects. Additionally, increased exposure to games and cartoons was associated with poorer behavioral outcomes in all children except for those experiencing positive mother–child interactions.ConclusionEarly mother–child interactions play a crucial role in mitigating the risk of behavioral problems in toddlers who spend prolonged periods looking at screens and who are frequently exposed to game and cartoon content.

Sustainable Consumption and Environmental Change in Taiwan: Understanding Consumer Perceptions and Narratives of Practice

This study investigates the perceptions and behaviors related to sustainable food consumption among various demographic groups in northern Taiwan, focusing on the metropolitan areas of Taipei City and New Taipei City. The narratives of Taiwanese people practicing sustainable eating were analyzed by applying practice theory. Semi-structured interviews were conducted with 30 participants from diverse demographic backgrounds (e.g., university students, homemakers, professionals, and retirees). Their educational backgrounds and work experience were recorded. The research highlights the effects of urbanization on the food choices of consumers, highlighting challenges such as high costs, time constraints, and limited access to kitchen facilities among university students. High-income professionals and retirees exhibited a preference for organic and locally sourced foods, whereas middle-aged homemakers emphasized seasonality and support for small farmers. The crucial roles of information sources (e.g., online media and television) and various cultural factors (e.g., religious beliefs) in influencing sustainable food behaviors were also identified. Despite its regional focus, this study provides valuable insights and recommendations for policymakers that can support sustainable food consumption.

Can weekend catch-up sleep decrease the risk of cognitive dysfunction in older adults?

This study investigated whether weekend catch-up sleep was related to a decreased risk of cognitive dysfunction in older Taiwanese adults by using self-reported diaries and objective accelerometer measurements. This cross-sectional study enrolled participants who were aged ≥ 65 years and had the capability to walk independently from a medical center in Taipei City, Taiwan, between September 2020 and December 2022. Self-reported sleep diaries and tri-axial accelerometers were used to record and measure sleep-related data for 7 consecutive nights. Weekend catch-up sleep was defined as the mean of weekend sleep time minus the mean of weekdays sleep time. Mini-Mental State Examination (MMSE) was evaluated the risk of cognitive dysfunction. The association between weekend catch-up sleep and the MMSE score was examined using a binary logistic regression model. A total of 215 older adults (53.0% female; 80.5 ± 7.1 years old; 11.6% at risk of cognitive dysfunction) were included. In the adjusted model (adjusted for sex, education level, moderate-to-vigorous physical activity and total accelerometer wear time), both the self-reported sleep diaries (odds ratio [OR] = 0.26, 95% confidence interval [CI] = 0.09-0.69, P = 0.007) and the accelerometer data (OR = 0.27, 95% CI = 0.10-0.70, P = 0.007) indicated that weekend catch-up sleep could decrease the risk of cognitive dysfunction by 73-74%. The study findings suggest that there is an association between weekend catch-up sleep and lower risk for cognitive decline. The causal relationship between weekend catch-up sleep and cognitive function in older adults should be further investigated in a study with longitudinal design.

Adequate housing in Taipei City’s private rental market: a visual content analysis of online rental unit advertisements

Since 2017, Taipei City government has implemented a policy to expand the rental housing market with a set of incentives for landlords that brings more affordable apartments to the market. This study applied visual content analysis to online rental housing advertisements to investigate the private rental market’s ability to provide adequate housing. The results show limited supply in the affordable price range, structural deficits, and elements contributing to an unsafe and unhealthy living environment. Also, accessibility is not ensured, as 91% of the units are in walk-up buildings. In addition, the prospects of the current policy direction for improving tenants’ precarity in the private rental market are weak, as discrimination and lease insecurity are not being addressed. This paper discusses the potential adverse effects of the current policy direction, including hindering urban regeneration efforts and fuelling a ‘Generation Landlord’. A tenant-centred, multidimensional approach to affordability is recommended as a starting point for future policy design.

Short-duration prediction of urban storm-water levels using the residual-error ensemble correction technique

ABSTRACT Predicting water levels in urban storm-water sewer systems is a critical study that could provide vital information to help reduce the risk of flooding. This study proposed a new ensemble model based on the integration of a meta-learner model, residual-error corrections, and a multiple-output framework. To achieve the meta-learner model, three multiple-output data-driven-based (MOD) sewer flooding models employing support vector regression (SVR), k-nearest neighbor regression (KNR), and categorical gradient boosting regression (CGBR) techniques were constructed and applied to predict the short-duration evolution of water levels at seven storm-water gauging sites in Taipei city, Taiwan, considering 10-min datasets spanning nearly 6 years (2016–2021). The Bayesian optimization algorithm was utilized in the training phases for all the models to avoid overfitting or underfitting. Enhancing the analysis of feature importance was also conducted to explore model interpretability based on the SHapley Additive exPlanation (SHAP) algorithm. The outputs of storm-water management model (SWMM) were used as benchmark solutions. For the model validation phase, the proposed integrated model improved the lead-time-averaged Nash–Sutcliffe efficiency of single KNR, SVR, and CGBR models by 174.5, 42.4, and 69.4%, respectively, showing that the proposed accurate model could be useful for urban flood warning systems.

Assessment of Urban Thermal Environments Using a Combination of the Local Climate Zone and Landscape Ecological Metrics in Taipei City

Assessment of Urban Thermal Environments Using a Combination of the Local Climate Zone and Landscape Ecological Metrics in Taipei City

Characterizing spatiotemporal patterns of bus bunching frequency on a bus route network: A case study of Taipei city

Bus bunching is a critical issue in bus operation management. This study investigated the impacts of potential factors affecting bus bunching on a city-wide bus route network, using Taipei City as an example with its 267 bus routes and 4741 bus stops. Frequency of bus bunching was measured on an hourly basis using Automatic Vehicle Location data. Multilevel count models based on Conway-Maxwell Poisson distributions were developed, and the spatiotemporal distributions of random intercepts and residuals were examined. The results showed that the effects of bus lane design, bus route network and operation, and traffic characteristics were consistent with those reported in prior studies. However, a quadratic relationship between bus route length, best measured by number of stops, and bus bunching was identified, which explains the conflicts between the theories of bus bunching propagation and self-repair. Bus route design often faces a dilemma between extending route length to collect additional passengers and reducing in-vehicle travel time to enhance service quality. The findings of the study could be a useful reference for bus route design to minimize bus bunching.

Spillover Effect of Urban Reconstruction from Announcement to Completion on Residential Prices: Application of Two-Stage Spatial Quantile Regression

This study analyzed four urban reconstruction projects in Taipei City (Zhufeng Tianmu, Huaku Sky Garden, Leqin Sanxi, and Yongde Yanyan) that were completed in 2016 based on data released by the Urban Regeneration R&D Foundation. The housing transaction data spanned from January 2008 to December 2017. The difference-in-difference method was used in conjunction with quantile regression to analyze the spillover effects of urban reconstruction projects on neighboring areas during the various phases of these projects. The empirical results showed that, during the planning and announcement phase, the effect on housing prices was negative and statistically significant for mid-to-low-priced units but positive and statistically significant for high-priced units. During the construction and post-completion phases, the effect was negative and statistically significant for low-priced, mid-to-low-priced, and mid-priced units, with low-priced units being the most affected group.

Urban people’s preferences for life-sustaining treatment or artificial nutrition and hydration in advance decisions

BackgroundThe Patient Right to Autonomy Act (PRAA), implemented in Taiwan in 2019, enables the creation of advance decisions (AD) through advance care planning (ACP). This legal framework allows for the withholding and withdrawal of life-sustaining treatment (LST) or artificial nutrition and hydration (ANH) in situations like irreversible coma, vegetative state, severe dementia, or unbearable pain. This study aims to investigate preferences for LST or ANH across various clinical conditions, variations in participant preferences, and factors influencing these preferences among urban residents.MethodsEmploying a survey of legally structured AD documents and convenience sampling for data collection, individuals were enlisted from Taipei City Hospital, serving as the primary trial and demonstration facility for ACP in Taiwan since the commencement of the PRAA in its inaugural year. The study examined ADs and ACP consultation records, documenting gender, age, welfare entitlement, disease conditions, family caregiving experience, location of ACP consultation, participation of second-degree relatives, and the intention to participate in ACP.ResultsData from 2337 participants were extracted from electronic records. There was high consistency in the willingness to refuse LST and ANH, with significant differences noted between terminal diseases and extremely severe dementia. Additionally, ANH was widely accepted as a time-limited treatment, and there was a prevalent trend of authorizing a health care agent (HCA) to make decisions on behalf of participants. Gender differences were observed, with females more inclined to decline LST and ANH, while males tended towards accepting full or time-limited treatment. Age also played a role, with younger participants more open to treatment and authorizing HCA, and older participants more prone to refusal.ConclusionDiverse preferences in LST and ANH were shaped by the public’s current understanding of different clinical states, gender, age, and cultural factors. Our study reveals nuanced end-of-life preferences, evolving ADs, and socio-demographic influences. Further research could explore evolving preferences over time and healthcare professionals’ perspectives on LST and ANH decisions for neurological patients..

Exploring the spatial association between the distribution of temperature and urban morphology with green view index.

Urban heat islands will occur if city neighborhoods contain insufficient green spaces to create a comfortable environment, and residents' health will be adversely affected. Current satellite imagery can only effectively identify large-scale green spaces and cannot capture street trees or potted plants within three-dimensional building spaces. In this study, we used a deep convolutional neural network semantic segmentation model on Google Street View to extract environmental features at the neighborhood level in Taipei City, Taiwan, including the green vegetation index (GVI), building view factor, and sky view factor. Monthly temperature data from 2018 to 2021 with a 0.01° spatial resolution were used. We applied a linear mixed-effects model and geographically weighted regression to explore the association between pedestrian-level green spaces and ambient temperature, controlling for seasons, land use information, and traffic volume. Their results indicated that a higher GVI was significantly associated with lower ambient temperatures and temperature differences. Locations with higher traffic flows or specific land uses, such as religious or governmental, are associated with higher ambient temperatures. In conclusion, the GVI from street-view imagery at the community level can improve the understanding of urban green spaces and evaluate their effects in association with other social and environmental indicators.

The use of phototherapy with different wavelengths in the treatment of Androgenetic Alopecia

Introduction: Phototherapy has been identified as a safe, non-invasive, and promising resource for the treatment of Androgenetic Alopecia (AGA). The aim of this study was to evaluate the effects of phototherapy on the treatment of AGA using two different wavelengths: red and blue. Both red and blue light, under the parameters tested in this study, allowed an increase in hair density, a reduction in the central parting, and promoted an increase in the number of terminal hairs after the treatments, as well as a reduction in vellus hairs. Methodology: Ten volunteers were selected (GLV n=5) and (GLA N=5), all diagnosed with AGA and approved by the ethics committee with opinion number 5,761,579. Interventions were carried out using Vênus equipment (MMOptics, São Carlos, Brazil) with Group GLV λ=660nm, 4J and Group GLA λ=440 nm, 4J. The interventions were performed once a week, for 90 days, totaling 12 treatment sessions. Hair progression was assessed by photographic record and the ratio of vellus to terminal hairs was performed by digital trichoscopy imaging (Dino Lite; New Taipei City, Taiwan, China). Results and Conclusion: Both red and blue light, under the parameters tested in this study, allowed an increase in hair density, a reduction in the central parting, and promoted an increase in the number of terminal hairs after the treatments, as well as a reduction in vellus hairs.

Combating school bullying through multi-role experience-based virtual scenario learning model: Assessing empathy, problem-solving, and self-efficacy from a multi-stakeholder perspective

This study explores the applications of virtual scenario learning in addressing the global issue of school bullying through digital educational tools. Previous research suggests that virtual role-playing experiences can reduce bullying incidents; however, experiencing the victim role can evoke negative emotions, while the bystander role may not fully convey the severity of bullying. This study aims to investigate the effects of a multi-role experience-based virtual scenario learning model on learners by integrating the advantages of both roles. This study employed a quasi-experimental research method, which involved grouping 56 fourth-grade elementary school students in Taipei City, Taiwan, into an experimental group and a control group. The experimental group utilized the multi-role experience-based virtual scenario learning model, while the control group utilized a single-role experience-based model. The study compared the differences in academic achievement, empathy, and problem-solving tendencies between the two groups. The findings indicate that the experimental group significantly excelled over the control group in academic achievement, empathy, and problem-solving tendencies. The multi-role experience-based virtual scenario learning model effectively nurtures students' empathy and considerably enhances learners' awareness of campus bullying.

The impact of COVID-19 restrictions on motorcycle crashes in Taiwan.

Taiwan is one of the countries with the highest motorcycle per capita globally, and motorcycle crashes are predominant among traffic crashes. This study examines the impact of coronavirus disease 2019 restrictions on motorcycle crashes. We analyzed the trend of motorcycle crashes in Taipei City from 2019 to 2020 using the dataset provided by the Department of Transportation, Taipei City Government, Taiwan. We found 47,108 and 51,441 motorcycle crashes in 2019 and 2020, involving 61,141 and 67,093 motorcycles, respectively. Mopeds had the highest risk in 2020, followed by heavy motorcycles [≥550 cubic capacity (cc)] and scooters compared to 2019. Food delivery motorcycle crashes increased for scooters (0.93% in 2019 to 3.45% in 2020, P < .0001) and heavy motorcycles (250 < cc < 550) (0.90% in 2019 to 3.38% in 2020, P < .0001). While fatalities remained under 1%, 30% to 51% of motorcyclists sustained injuries. Food delivery with scooters or heavy motorcycles (250 < cc < 550) was significantly associated with motorcyclist injuries and deaths. Compared with 2019, the adjusted odds ratios of motorcyclist injuries and deaths in 2020 were 1.43 (95% confidence interval = 1.05-1.94) for heavy motorcycles (≥550 cc) and 1.07 (95% confidence interval = 1.04-1.09) for scooters. This study shows that coronavirus disease 2019 restrictions was associated with elevated risks of crashes, injuries, and deaths among motorcyclists, reflecting the general preference for private transport over public transport. The popularity of food delivery services also contributed to increased motorcycle crashes.

Attraction and Retention Green Place Images of Taipei City

This study investigates levels of green place image and their association with different types of greenspace by examining residents’ perceptions of urban greenspaces. Place image refers to an individual’s comprehensive perception of a location, formed through various interactions, and it encompasses two distinct aspects: attraction and retention. The former can be established without extensive interaction, while the latter requires deeper physical and psychological connections, such as a sense of place (SOP) and place identity (PI). Although much research on urban greenspaces has concentrated on the retention aspect, focusing on residents’ psychological, physical, social, and environmental engagements, the attraction dimension, including place brand (PB), visual image (VI), and place reputation (PR), has been less explored. This study collected data from 536 on-site surveys across four types of urban greenspaces in Taipei city: small-size greenspaces, neighborhood parks, multipurpose parks, and green corridors, and they were analyzed through factor analysis (FA) and multivariate analysis of variance (MANOVA) using R software (R-4.3.3). The FA identifies two factors and their significant sub-attributes aligning with theoretical findings, i.e., attraction and retention. Further analysis using MANOVA determines that the multipurpose park is the most influential type of greenspace, significantly affecting urban residents’ development of positive green place images. These findings highlight the importance of perceiving urban greenspaces as critical areas for multi-dimensional stakeholders, suggesting a balanced approach to development and management that emphasizes both attraction and retention strategies as well as nature and built facilities.