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1 – 10 of 428The purpose of this paper is to examine Asian Americans' perceptions of the police, specifically how they construct support. Although such literature has been growing in recent…
Abstract
Purpose
The purpose of this paper is to examine Asian Americans' perceptions of the police, specifically how they construct support. Although such literature has been growing in recent years, research on Asian American interactions with the police remains limited. Additionally, this paper is situated within the theoretical framework of system justification theory to account for Asian Americans' views of the police.
Design/methodology/approach
This study relies on interview data collected from 20 Asian Americans residing in mid-Atlantic states. Participants were either recruited directly by the researchers or through the snowball-sampling method.
Findings
Police support is influenced by perception of neighborhood safety, personal police contact and empathetic feelings toward the police. Specifically, regarding the latter component, humanizing or empathizing with police officers is a form of rationalizing individual police misconduct that reinforced police legitimacy. Most participants had similar characteristics and displayed police justification. Additional research is needed regarding what characteristics or patterns are likely to lead to lower levels of police justification.
Originality/value
This article's findings improve our understanding of system justification among Asian Americans, particularly as it relates to policing.
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Özge Gürsoy and Nazlı Ferah Akıncı
The inadequacy of regulations, the uncertainty of the quality of houses produced and the needs of users all highlight the need for a house analysis in Turkey. The goal of this…
Abstract
Purpose
The inadequacy of regulations, the uncertainty of the quality of houses produced and the needs of users all highlight the need for a house analysis in Turkey. The goal of this study is to understand housing quality in Turkey based on the gap between expectations and existing housing stock, to identify the main housing expectations and the problematic issues in the current housing situation.
Design/methodology/approach
The authors designed a survey using the quality indicators of several well-known housing quality assessment tools to reveal residents' housing preferences and current housing situation in Turkey. The authors analyzed the survey results to identify the gap between housing preferences and existing conditions to reveal the housing quality of Turkish housing.
Findings
Overall results show that residents in Turkey, regardless of their demographics, want and need better houses. It was determined that physical conditions, safety, aesthetics and accessibility are the issues for which the expectations of the participants are high and the lack of which is most felt.
Originality/value
This paper reveals the residents' perspective on housing and their housing quality. It emphasizes the need for more research on housing quality, the need for updated regulation and necessity of a housing quality assessment tool in Turkey.
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Ning Sun, Yuhan Peng, Yingchen Lu, Wanting Liu and Zhenhua Zheng
This study aims to investigate the relationships between the perceived neighborhood walkable environment (PNWE), neighborhood interaction (NI) and residents’ mental health, with…
Abstract
Purpose
This study aims to investigate the relationships between the perceived neighborhood walkable environment (PNWE), neighborhood interaction (NI) and residents’ mental health, with a focus on examining differences among residents of different age groups.
Design/methodology/approach
Using an electronic survey questionnaire, data on PNWE, NI and mental health were collected from 1,159 residents across 205 communities in Shanghai, China. Our study utilized a structural equation modeling (SEM), employing the maximum likelihood estimation method. The structural equation model was fitted using the MPLUS software.
Findings
The mental health of young and middle-aged adults is generally poor, and they are at higher risk of depression than children and older adults. The effects of PNWE and NI on the mental health of residents varied among different age groups. As residents get older, their mental health is more affected by the PNWE. In addition, the influence of the PNWE on children and older adults’ mental health is direct and not mediated by NI. For young and middle-aged adults, the influence of the PNWE on their mental health needs to be mediated by NI.
Originality/value
This study marks the first examination of the relationship between PNWE, NI and mental health among different age groups of residents in China. The findings of this research can assist policymakers in gaining a deeper understanding of the underlying mechanisms by which PNWE affects mental health. Furthermore, it can contribute to the development of more targeted walkable environment designs aimed at enhancing mental health among various age groups.
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Mary S. Mangai, Tyanai Masiya and Galaletsang Masemola
This paper aims to explore police perspectives on community engagement strategies within the context of crime prevention in South Africa, focusing on Johannesburg metropolitan…
Abstract
Purpose
This paper aims to explore police perspectives on community engagement strategies within the context of crime prevention in South Africa, focusing on Johannesburg metropolitan police stations. The study’s objective is to scrutinise the effectiveness and challenges of community policing strategies.
Design/methodology/approach
Through a qualitative research approach, this study conducted unstructured interviews with station commanders and visible policing officers across 10 Johannesburg metropolitan police stations.
Findings
The findings reveal that community policing strategies, such as community–policing forums, sector policing, street patrollers and social media utilisation, can effectively engage communities as partners in crime prevention. However, certain challenges such as resource limitations and difficulties in policing-specific regions, were also identified.
Originality/value
This study contributes to the broader understanding of community–policing partnerships and the practical implications of community–policing strategies in South Africa, suggesting areas for improvement and adaptation to the unique South African context. This knowledge can help optimise efforts to foster stronger relationships between police and communities, bolster public trust and ultimately improve crime prevention outcomes.
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China’s population is ageing. Continuing care retirement communities (CCRCs) are an emerging living arrangement of older Chinese. Incorporating social sustainability features into…
Abstract
Purpose
China’s population is ageing. Continuing care retirement communities (CCRCs) are an emerging living arrangement of older Chinese. Incorporating social sustainability features into CCRCs helps to create age-friendly residential environments for residents. However, it is still unclear what kinds of social sustainability features are incorporated into the residential environments of CCRCs in China. Therefore, this study aims to address this research gap.
Design/methodology/approach
Qualitative content analysis is adopted to analyse the retrieved business information of representative CCRC developers in China.
Findings
This study revealed 36 social sustainability features in CCRCs, with the top-ranked ones being health care and management, social connection and engagement, high-quality and diverse services and daily life support and assistance. Additionally, a preliminary social sustainability framework of CCRCs was proposed, and this framework includes the five components of care and health, environment and management, service and facility, age-friendly life philosophy and social support and inclusion.
Originality/value
In theory, this research’s findings clarify the meaning of social sustainability within the context of CCRCs, which supports future relevant explorations in the CCRC research community. In practice, these findings enhance stakeholders’ understanding of the social sustainability in CCRCs, which promotes the development of age-friendly living environments for older people in an ageing society.
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Esin Esra Erturan-Ogut and Ufuk Kula
This study aims to adapt analytical hierarchy process (AHP) for choosing the optimal location for sport facilities. The location of a sports facility contributes significantly to…
Abstract
Purpose
This study aims to adapt analytical hierarchy process (AHP) for choosing the optimal location for sport facilities. The location of a sports facility contributes significantly to its potential success or failure. Therefore, factors affecting such location-related decisions must be carefully studied and prioritized in a systematic fashion.
Design/methodology/approach
This study develops a seven-step framework which may be used to decide on a location from among several alternatives. Through an extensive literature review, this study first determines the factors affecting sports facility location selection and then applies AHP steps by asking several sports facility owners and managers to assess importance of the criteria.
Findings
This study determined the sport facility location selection factors as “ease of access,” “facility features,” “financial issues,” “neighborhood” and “market,” and further divided each factor into its subfactors. To illustrate the framework of using AHP as a tool to select the right location for sport facilities, we chose three candidate locations and scored them according to the calculated weight scores of the criteria, identifying the strengths and weaknesses of each location.
Practical implications
This study provides several managerial implications that may guide sport facility investors in choosing the right location.
Social implications
This study presents a method to evaluate different factors for different actors of sport industry in a systematic way. Private investors can use the method for securing sufficient number of potential customers in a well-selected location. Government institutions and public policymakers can use the method, possibly with different sets of factors, to decide on the location of public sports facilities to maximize the number of visitors or to reach disadvantaged or underserved populations.
Originality/value
This framework of AHP method can help private and public investors and policymakers evaluate and make the optimal decision for choosing sports facility locations. This study contributes both to sport management theory and practice as well as to operation management literature. This study also refined the scattered factors in the literature of selecting a sport facility site in a more understandable and adaptable way.
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Travis Carter, Scott E. Wolfe, Yongjae Nam and Spencer G. Lawson
This study aims to evaluate a promising community-oriented policing strategy called “front porch roll call” (FPRC), which involves conducting roll calls in public forums.
Abstract
Purpose
This study aims to evaluate a promising community-oriented policing strategy called “front porch roll call” (FPRC), which involves conducting roll calls in public forums.
Design/methodology/approach
A mixed methods approach was used by drawing on survey data, field observations and qualitative interviews to describe how FPRCs were implemented in Saginaw, MI from 2019 to 2022, and how they can be successfully implemented to operate in accordance with the theoretical foundations of community-oriented policing.
Findings
Survey data from FPRC attendees reported improvements in their perceptions of police legitimacy, trust in the police and procedural fairness—each of which are vital pathways to developing collaborative crime prevention initiatives in community-oriented policing. Qualitative interviews and field observations provided unique insights into areas of improvement and ways to enhance sustainability for future use.
Originality/value
Community-oriented policing offers a philosophical approach to addressing crime problems through the formation of localized, collaborative solutions that come from police-community partnerships. A key implementation challenge is that such programs can fail to align their initiatives with the theoretical principles of community policing. FPRCs offer an innovative solution that operates closely with the spirit of community-oriented policing. Data from a mixed-methods evaluation provide further insights into their challenges with implementation and ways to improve upon them.
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Fauster Agbenyo, Miller Williams Appau and Eunice Yorgri
This paper aims to examine landlords’ health support systems to tenants to control COVID-19 in selected informal settlement rental housing (ISRH) in Ghana, dwelling on landlords’…
Abstract
Purpose
This paper aims to examine landlords’ health support systems to tenants to control COVID-19 in selected informal settlement rental housing (ISRH) in Ghana, dwelling on landlords’ views.
Design/methodology/approach
The paper used the concurrent imbedded mixed-methods approach and grounded the findings in the socio-ecological theory. The authors collected both qualitative and quantitative data from 242 landlords in 13 informal settlements across Ghana using quotas. The authors undertook semi-structured face-to-face and telephone interviews. The authors conducted content and thematic qualitative data analysis and used simple descriptive statistical data analysis.
Findings
The paper discovered that tenants had limited knowledge on the transmission of the pandemic, forcing landlords to regulate their building services usage, ventilation and thermal control, entertainment, common areas and rent advancement for tenants to control the pandemic. Also, tenants found it difficult to comply with the rules on ventilation for fear of criminal attacks, while high social connection and interaction among renters and inadequate enforcement caused the non-adherence by renters to social gathering. Again, landlords had difficulty in contract-tracing visitors suspected to be infected with the virus.
Originality/value
The use of concurrent and imbedded mixed methods to investigate landlords’ viewpoints on their support in health needs of their tenants to regulate COVID-19. The prescriptions from the study provide practical applications to formulate a mix of housing and health policies to formalize the support of landlords to their tenants in ISRH in Ghana.
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Md Aminul Islam and Md Abu Sufian
This research navigates the confluence of data analytics, machine learning, and artificial intelligence to revolutionize the management of urban services in smart cities. The…
Abstract
This research navigates the confluence of data analytics, machine learning, and artificial intelligence to revolutionize the management of urban services in smart cities. The study thoroughly investigated with advanced tools to scrutinize key performance indicators integral to the functioning of smart cities, thereby enhancing leadership and decision-making strategies. Our work involves the implementation of various machine learning models such as Logistic Regression, Support Vector Machine, Decision Tree, Naive Bayes, and Artificial Neural Networks (ANN), to the data. Notably, the Support Vector Machine and Bernoulli Naive Bayes models exhibit robust performance with an accuracy rate of 70% precision score. In particular, the study underscores the employment of an ANN model on our existing dataset, optimized using the Adam optimizer. Although the model yields an overall accuracy of 61% and a precision score of 58%, implying correct predictions for the positive class 58% of the time, a comprehensive performance assessment using the Area Under the Receiver Operating Characteristic Curve (AUC-ROC) metrics was necessary. This evaluation results in a score of 0.475 at a threshold of 0.5, indicating that there's room for model enhancement. These models and their performance metrics serve as a key cog in our data analytics pipeline, providing decision-makers and city leaders with actionable insights that can steer urban service management decisions. Through real-time data availability and intuitive visualization dashboards, these leaders can promptly comprehend the current state of their services, pinpoint areas requiring improvement, and make informed decisions to bolster these services. This research illuminates the potential for data analytics, machine learning, and AI to significantly upgrade urban service management in smart cities, fostering sustainable and livable communities. Moreover, our findings contribute valuable knowledge to other cities aiming to adopt similar strategies, thus aiding the continued development of smart cities globally.
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