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Fulltext State-of-the-art IoV trust management a meta-synthesis systematic literature review (SLR)

Rehman A, Hassan MF, Yew KH, Paputungan I, Tran DC

PeerJ Comput Sci, 2020;6:e334.
PMID: 33816982 DOI: 10.7717/peerj-cs.334

In the near future, the Internet of Vehicles (IoV) is foreseen to become an inviolable part of smart cities. The integration of vehicular ad hoc networks (VANETs) into the IoV is being driven by the advent of the Internet of Things (IoT) and high-speed communication. However, both the technological and non-technical elements of IoV need to be standardized prior to deployment on the road. This study focuses on trust management (TM) in the IoV/VANETs/ITS (intelligent transport system). Trust has always been important in vehicular networks to ensure safety. A variety of techniques for TM and evaluation have been proposed over the years, yet few comprehensive studies that lay the foundation for the development of a "standard" for TM in IoV have been reported. The motivation behind this study is to examine all the TM models available for vehicular networks to bring together all the techniques from previous studies in this review. The study was carried out using a systematic method in which 31 papers out of 256 research publications were screened. An in-depth analysis of all the TM models was conducted and the strengths and weaknesses of each are highlighted. Considering that solutions based on AI are necessary to meet the requirements of a smart city, our second objective is to analyze the implications of incorporating an AI method based on "context awareness" in a vehicular network. It is evident from mobile ad hoc networks (MANETs) that there is potential for context awareness in ad hoc networks. The findings are expected to contribute significantly to the future formulation of IoVITS standards. In addition, gray areas and open questions for new research dimensions are highlighted.

Matched MeSH terms: Cities
Fulltext Detection and Mitigation of RPL Rank and Version Number Attacks in the Internet of Things: SRPL-RP

A Almusaylim Z, Jhanjhi NZ, Alhumam A

Sensors (Basel), 2020 Oct 22;20(21).
PMID: 33105891 DOI: 10.3390/s20215997

The rapid growth of the Internet of Things (IoT) and the massive propagation of wireless technologies has revealed recent opportunities for development in various domains of real life, such as smart cities and E-Health applications. A slight defense against different forms of attack is offered for the current secure and lightweight Routing Protocol for Low Power and Lossy Networks (RPL) of IoT resource-constrained devices. Data packets are highly likely to be exposed in transmission during data packet routing. The RPL rank and version number attacks, which are two forms of RPL attacks, can have critical consequences for RPL networks. The studies conducted on these attacks have several security defects and performance shortcomings. In this research, we propose a Secure RPL Routing Protocol (SRPL-RP) for rank and version number attacks. This mainly detects, mitigates, and isolates attacks in RPL networks. The detection is based on a comparison of the rank strategy. The mitigation uses threshold and attack status tables, and the isolation adds them to a blacklist table and alerts nodes to skip them. SRPL-RP supports diverse types of network topologies and is comprehensively analyzed with multiple studies, such as Standard RPL with Attacks, Sink-Based Intrusion Detection Systems (SBIDS), and RPL+Shield. The analysis results showed that the SRPL-RP achieved significant improvements with a Packet Delivery Ratio (PDR) of 98.48%, a control message value of 991 packets/second, and an average energy consumption of 1231.75 joules. SRPL-RP provided a better accuracy rate of 98.30% under the attacks.

Matched MeSH terms: Cities
Fulltext Knowledge, Awareness, and Perception of Genetic Testing for Hereditary Disorders Among Malaysians in Klang Valley

Chin JJ, Tham HW

Front Genet, 2020;11:512582.
PMID: 33343613 DOI: 10.3389/fgene.2020.512582

Genetic testing aids patients in making important decisions in the prevention, treatment, or early detection of hereditary disorders. Low awareness of the importance of genetic testing contributes to the increase in the incidence of hereditary disorders. This study aims to explore the knowledge, awareness, and perception of genetic testing for hereditary disorders among local residents of the Klang Valley, Malaysia, and the potential variables that influence their understanding of genetic testing. A survey was conducted in different municipalities of the Klang Valley through self-administered questionnaire assessing the public's knowledge, awareness, and perception of genetic testing. Overall, the results revealed adequate knowledge and positive awareness of genetic testing, in which both were influenced by the respondent's educational level (P < 0.001), field of study (P < 0.001), and status of heard or unheard of genetic testing (P < 0.001). The perception of genetic testing was generally positive and influenced by the respondent's differences in age (P < 0.016), educational level (P < 0.001), field of study (P < 0.001), and status of heard or unheard of genetic testing (P < 0.001). Although positive responses were obtained, ~20.2% of the respondents had never heard of genetic testing. Of the respondents, 24.5% were unwilling to undergo genetic testing, with 25.1% believing that genetic testing tampers with nature and 18% believing that it opposes religion and their beliefs. Such attitude calls for the need to conduct programs to eliminate any misconception, as well as to educate the public to lessen any perceived misunderstanding of the concepts of genetic testing.

Matched MeSH terms: Cities
Fulltext Exploring Sources of Satisfaction and Dissatisfaction in Airbnb Accommodation Using Unsupervised and Supervised Topic Modeling

Ding K, Choo WC, Ng KY, Ng SI, Song P

Front Psychol, 2021;12:659481.
PMID: 33967922 DOI: 10.3389/fpsyg.2021.659481

This study aims to examine key attributes affecting Airbnb users' satisfaction and dissatisfaction through the analysis of online reviews. A corpus that comprises 59,766 Airbnb reviews form 27,980 listings located in 12 different cities is analyzed by using both Latent Dirichlet Allocation (LDA) and supervised LDA (sLDA) approach. Unlike previous LDA based Airbnb studies, this study examines positive and negative Airbnb reviews separately, and results reveal the heterogeneity of satisfaction and dissatisfaction attributes in Airbnb accommodation. In particular, the emergence of the topic "guest conflicts" in this study leads to a new direction in future sharing economy accommodation research, which is to study the interactions of different guests in a highly shared environment. The results of topic distribution analysis show that in different types of Airbnb properties, Airbnb users attach different importance to the same service attributes. The topic correlation analysis reveals that home like experience and help from the host are associated with Airbnb users' revisit intention. We determine attributes that have the strongest predictive power to Airbnb users' satisfaction and dissatisfaction through the sLDA analysis, which provides valuable managerial insights into priority setting when developing strategies to increase Airbnb users' satisfaction. Methodologically, this study contributes by illustrating how to employ novel approaches to transform social media data into useful knowledge about customer satisfaction, and the findings can provide valuable managerial implications for Airbnb practitioners.

Matched MeSH terms: Cities
Fulltext Exploring Regional Advanced Manufacturing and Its Driving Factors: A Case Study of the Guangdong-Hong Kong-Macao Greater Bay Area

Dou Z, Sun Y, Wang T, Wan H, Fan S

Int J Environ Res Public Health, 2021 05 28;18(11).
PMID: 34071373 DOI: 10.3390/ijerph18115800

This study aims to analyze the development trend of the manufacturing industry of the Guangdong-Hong Kong-Macao Greater Bay Area (from 2008 to 2018) by constructing an evaluation system. On the basis of push-pull-mooring theory, we analyze these factors by using an entropy and cluster model. The results show the following: (1) Technological development had an obvious spatial distribution pattern of core regional radiation, while others did not. (2) Economic development was based on the city's existing industrial development system, while environmental development depended on governmental policies. (3) Compared with the environmental factor, the development trends of the economic and technological factors were more similar. Lastly, we provide four strategies for the development of the manufacturing industry in different cities.

Matched MeSH terms: Cities
Fulltext Spatial autocorrelation in the study of neighbourhoods towards smart cities: empirical evidence from Kerman, Iran

Asra Hosseini

Scientific Research Journal, 2012;9(2):0-0.
MyJurnal

From earliest cities to the present, spatial division into residential zones and neighbourhoods is the universal feature of urban areas. This study explored issue of measuring neighbourhoods through spatial autocorrelation method based on Moran’s I index in respect of achieving to best neighbourhoods’ model for forming cities smarter. The research carried out by selection of 35 neighbourhoods only within central part of traditional city of Kerman in Iran. The results illustrate, 75% of neighbourhoods’ area in the inner city of Kerman had clustered pattern, and it shows reduction in Moran’s index is associated with disproportional distribution of density and increasing in Moran’s I and Z-score have monotonic relation with more dense areas and clustered pattern. It may be more efficient for urban planner to focus on spatial autocorrelation to foster neighbourhood cohesion rather than emphasis on suburban area. It is recommended characteristics of historic neighbourhoods can be successfully linked to redevelopment plans toward making city smarter, and also people’s quality of life can be related to the way that neighbourhoods’ patterns are defined.

Matched MeSH terms: Cities
Fulltext GIS routing and modelling of residential waste collection for operational management and cost optimization

Billa, L., Pradhan, B., Yakuup, A.

Pertanika Journal of Science & Technology, 2014;22(1):193-211.
MyJurnal

In this paper, optimum routing was developed based on the travel salesman method and integrated in ArcInfo GIS using linear programming. The results of the optimized travel distances and times for residential waste collection and routing to disposal site were used to calculate the number and type of required track collection, labour requirement, costing of waste collection and to determine the overall solid waste management efficiency through waste management operation research methods. The objective of the study was to optimize residential collection and hauling to disposal site through operation cost minimization for Petaling Jaya Municipality in the state of Selangor, Malaysia. The study determined that with optimized routes and recycling possibilities, the total cost of waste collections could be reduced from RM90,372 to RM20,967, with a reduction of 76.8%. It was also revealed that optimum routes might not necessarily be the shortest distance from point A to point B as travel time maybe high on short distances due to traffic congestion and the presence of many traffic lights. Techniques and methods developed using general GIS have proven effective in route optimization and allowed management of data to suit local conditions and limitations of waste management for the studied area. Thus, scenarios of travel distances, time and waste quantity value generated from the GIS enabled appropriate determination of the number of waste trucks and labour requirements for the operation and the overall calculation of costs of waste management based on the operation research methods used in the study.

Matched MeSH terms: Cities
Fulltext Ecological connectivity networks in rapidly expanding cities

Nor ANM, Corstanje R, Harris JA, Grafius DR, Siriwardena GM

Heliyon, 2017 Jun;3(6):e00325.
PMID: 28706999 DOI: 10.1016/j.heliyon.2017.e00325

Urban expansion increases fragmentation of the landscape. In effect, fragmentation decreases connectivity, causes green space loss and impacts upon the ecology and function of green space. Restoration of the functionality of green space often requires restoring the ecological connectivity of this green space within the city matrix. However, identifying ecological corridors that integrate different structural and functional connectivity of green space remains vague. Assessing connectivity for developing an ecological network by using efficient models is essential to improve these networks under rapid urban expansion. This paper presents a novel methodological approach to assess and model connectivity for the Eurasian tree sparrow (Passer montanus) and Yellow-vented bulbul (Pycnonotus goiavier) in three cities (Kuala Lumpur, Malaysia; Jakarta, Indonesia and Metro Manila, Philippines). The approach identifies potential priority corridors for ecological connectivity networks. The study combined circuit models, connectivity analysis and least-cost models to identify potential corridors by integrating structure and function of green space patches to provide reliable ecological connectivity network models in the cities. Relevant parameters such as landscape resistance and green space structure (vegetation density, patch size and patch distance) were derived from an expert and literature-based approach based on the preference of bird behaviour. The integrated models allowed the assessment of connectivity for both species using different measures of green space structure revealing the potential corridors and least-cost pathways for both bird species at the patch sites. The implementation of improvements to the identified corridors could increase the connectivity of green space. This study provides examples of how combining models can contribute to the improvement of ecological networks in rapidly expanding cities and demonstrates the usefulness of such models for biodiversity conservation and urban planning.

Matched MeSH terms: Cities
Fulltext Conflicting perceptions on participation between citizens and members of local government

Mohammadi SH, Norazizan S, Nikkhah HA

Qual Quant, 2018;52(4):1761-1778.
PMID: 29937584 DOI: 10.1007/s11135-017-0565-9

There is a growing consensus among citizens and members of local government that citizen participation is desirable for local government. However in practice, there are differing perceptions between them regarding the level and extent of citizen participation. As citizen participation is a multi faceted concept, its meaning is construed differently by both the members of local government and the citizen groups. This paper attempts to describe the conflicts that arise from participation. The paper is based on the study of the process of citizen participation in local government carried out in Torbat-Heydarieh city, Iran. A qualitative research method is seen as the most suitable approach of collecting and analyzing the data. The method employed for data collection in this research is in-depth interviews. In-depth interviews were conducted to gauge the existence of conflicts regarding participation. The findings reveal four areas that give rise to conflicts. This study also attempts to highlight two different views regarding citizen participation; the people-centered view and authority-centered view.

Matched MeSH terms: Cities
Analyzing the thermal comfort conditions of outdoor spaces in a university campus in Kuala Lumpur, Malaysia

Ghaffarianhoseini A, Berardi U, Ghaffarianhoseini A, Al-Obaidi K

Sci Total Environ, 2019 Jan 26.
PMID: 30857724 DOI: 10.1016/j.scitotenv.2019.01.284

The rapid urban expansion in East-Asian cities has increased the need for comfortable public spaces. This study presents field measurements and parametric simulations to evaluate the microclimatic characteristics in a university campus in the tropical climate of Kuala Lumpur, Malaysia. The study attempts to identify the thermally uncomfortable areas and their physical and design characteristics while debating on the circumstances of enhancing the outdoor comfort conditions for the campus users. Simulations in Envi-met and IES-VE are used to investigate the current outdoor thermal conditions, using classic thermal metric indices. Findings show high levels of thermal discomfort in most of the studied spaces. As a result, suggestions to improve the design quality of outdoor areas optimizing their thermal comfort conditions are proposed. The study concludes that effective re-design of outdoor spaces in the tropics, through adequate attention to the significant impacts of shading and vegetation, can result in achieving outdoor spaces with high frequency of use and improved comfort level.

Matched MeSH terms: Cities
Fulltext Modelling age-friendly environment for social connectedness: a cross-sectional study

Shi Ying L, Ming Ming L, Siok Hwa L

F1000Res, 2021;10:955.
PMID: 35035892 DOI: 10.12688/f1000research.73032.1

Background: The increase in aged populations in Malaysia has brought unprecedented challenges to families, policy makers, scholars, and business organisations. This paper adapted the WHO 2007 framework of features of age-friendly cities to examine age-friendly environment constructs and their linkages with social connectedness from the perspective of Malaysian middle-aged and older adults caring for themselves. Methods: A face-to-face cross-sectional survey was conducted on 402 middle-aged and older adults caring for themselves across selected states in west Malaysia, selected via purposive sampling. Firstly, features of age-friendly cities were explored through exploratory factor analysis involving 82 respondents. Subsequently, structural equation modelling was performed, involving 320 respondents. Results: The results indicated that the constructs of an age-friendly environment were built environment, community support and health services, civic participation, and employment as well as communication and information. The structural model provided evidence that implementing age-friendly initiatives relating to built environment, community support and health services, civic participation and employment as well as communication and information enables the ageing population to improve their connectedness with society. These findings supported the ecological theories, agreeing that age-friendly environments help middle-aged and older adults caring for themselves to increase their adaptability and reduce perceived pressure from the environment. This result was in line with the current literature in which an age-friendly environment is a form of support and an enabling environment to cultivate positive social relationships and connectivity. Conclusions: Creating an age-friendly environment that supports active and healthy living for middle-aged and older adults caring for themselves allows them to continue to share their experiences, knowledge, and wisdom. This is helpful and beneficial for societal well-being and economic development as well as for the future generations.

Matched MeSH terms: Cities
Fulltext Research on the Communication Strategy of History and Culture in Shaanxi Based on BP Neural Network Model

Xie D, Yin C

Comput Intell Neurosci, 2022;2022:8965622.
PMID: 35111216 DOI: 10.1155/2022/8965622

Shaanxi is one of China's most important cradles of civilization. The main vein of Chinese culture is rich history and culture, and brilliant red culture embodies the essence of socialist core values. It is still relatively weak to deeply analyze the related research of Shaanxi Province's cultural province construction on the basis of studying the achievements of cultural development in foreign countries and China and combining with the reality of Shaanxi Province. In this paper, a BPNN (BP neural network) model is selected to study the comprehensive evaluation of tourism competitiveness of smart tourism cities, and the software is used to realize the simulation of the comprehensive evaluation system of tourism competitiveness of smart tourism cities, which more comprehensively and objectively reflects the level of comprehensive competitiveness of each city. It is believed that there are some problems in Shaanxi regional cultural communication, such as insufficient exploration of content resources, insufficient communication channels, and low audience awareness, hoping to provide ideas and reference for further exploring the promotion of cultural communication power.

Matched MeSH terms: Cities
Fulltext Short term energy consumption forecasting using neural basis expansion analysis for interpretable time series

Shaikh AK, Nazir A, Khan I, Shah AS

Sci Rep, 2022 Dec 29;12(1):22562.
PMID: 36581655 DOI: 10.1038/s41598-022-26499-y

Smart grids and smart homes are getting people's attention in the modern era of smart cities. The advancements of smart technologies and smart grids have created challenges related to energy efficiency and production according to the future demand of clients. Machine learning, specifically neural network-based methods, remained successful in energy consumption prediction, but still, there are gaps due to uncertainty in the data and limitations of the algorithms. Research published in the literature has used small datasets and profiles of primarily single users; therefore, models have difficulties when applied to large datasets with profiles of different customers. Thus, a smart grid environment requires a model that handles consumption data from thousands of customers. The proposed model enhances the newly introduced method of Neural Basis Expansion Analysis for interpretable Time Series (N-BEATS) with a big dataset of energy consumption of 169 customers. Further, to validate the results of the proposed model, a performance comparison has been carried out with the Long Short Term Memory (LSTM), Blocked LSTM, Gated Recurrent Units (GRU), Blocked GRU and Temporal Convolutional Network (TCN). The proposed interpretable model improves the prediction accuracy on the big dataset containing energy consumption profiles of multiple customers. Incorporating covariates into the model improved accuracy by learning past and future energy consumption patterns. Based on a large dataset, the proposed model performed better for daily, weekly, and monthly energy consumption predictions. The forecasting accuracy of the N-BEATS interpretable model for 1-day-ahead energy consumption with "day as covariates" remained better than the 1, 2, 3, and 4-week scenarios.

Matched MeSH terms: Cities
Assessing the economic value of urban green spaces in Kuala Lumpur

A Samad NS, Abdul-Rahim AS, Mohd Yusof MJ, Tanaka K

Environ Sci Pollut Res Int, 2020 Apr;27(10):10367-10390.
PMID: 31939016 DOI: 10.1007/s11356-019-07593-7

This study assessed the economic value of public urban green spaces (UGSs) in Kuala Lumpur (KL) city by using the hedonic price method (HPM). It involves 1269 house units from eight sub-districts in KL city. Based on the hedonic price method, this study formulates a global and local model. The global model and local model are analyzed using ordinary least square (OLS) regression and geographically weighted regression (GWR). By using the hedonic price method, the house price serves as a proxy for public urban green spaces' economic value. The house price is regressed against the set of three variables which are structural characteristics, neighborhood attributes, and environmental attributes. Measurements of interest in this study are environmental characteristics, including distance to public UGSs and size of public UGSs. The results of the OLS regression illustrated that Taman Rimba Kiara and Taman Tasik Titiwangsa provide the maximum economic value. On average, reducing the distance of the house location to Taman Rimba Kiara by 10 m increased the house price by RM1700. Similarly, increasing the size of the Taman Tasik Titiwangsa by 1000 m2 increases the house price by RM60,000. The advantage of the GWR result is the economic value of public UGSs which can be analyzed by the specific location according to sub-district. From this study, the GWR result exposed that the economic values of Taman Rimba Bukit Kiara and Taman Tasik Titiwangsa were not significant in each of the sub-district within KL city. Taman Rimba Bukit Kiara was negatively significant at all sub-districts except Setapak and certain house locations located at the sub-district of KL. In contrast, Taman Tasik Titiwangsa was positively significant at all sub-districts except certain house locations at the sub-districts of Batu, KL, Setapak, and KL city center. In conclusion, results show that the house price is influenced by the environmental attribute. However, even though both of these public UGSs generate the highest economic value based on distance and size, its significant values with an expected sign are only obtained based on the specific house location as verified by the local model. In terms of model comparison, the local model was better compared with the global model.

Matched MeSH terms: Cities
Assessment of spatial and temporal ecological environment quality under land use change of urban agglomeration in the North Slope of Tianshan, China

Airiken M, Zhang F, Chan NW, Kung HT

Environ Sci Pollut Res Int, 2022 Feb;29(8):12282-12299.
PMID: 34564811 DOI: 10.1007/s11356-021-16579-3

In the current context of rapid development and urbanization, land use and land cover (LULC) types have undergone unprecedented changes, globally and nationally, leading to significant effects on the surrounding ecological environment quality (EEQ). The urban agglomeration in North Slope of Tianshan (UANST) is in the core area of the Silk Road Economic Belt of China. This area has experienced rapid development and urbanization with equally rapid LULC changes which affect the EEQ. Hence, this study quantified and assessed the spatial-temporal changes of LULC on the UANST from 2001 to 2018 based on remote sensing analysis. Combining five remote sensing ecological factors (WET, NDVI, IBI, TVDI, LST) that met the pressure-state-response(PSR) framework, the spatial-temporal distribution characteristics of EEQ were evaluated by synthesizing a new Remote Sensing Ecological Index (RSEI), with the interaction between land use change and EEQ subsequently analyzed. The results showed that LULC change dominated EEQ change on the UANST: (1) From 2001 to 2018, the temporal and spatial pattern of the landscape on the UANST has undergone tremendous changes. The main types of LULC in the UANST are Barren land and Grassland. (2) During the study period, RSEI values in the study area were all lower than 0.5 and were at the [good] levels, reaching 0.31, 0.213, 0.362, and 0346, respectively. In terms of time and space, the overall EEQ on the UANST experienced three stages of decline-rise-decrease. (3) The estimated changes in RSEI were highly related to the changes of LULC. During the period 2001 to 2018, the RSEI value of cropland showed a trend of gradual increase. However, the rest of the LULC type's RSEI values behave differently at different times. As the UANST is the core area of Xinjiang's urbanization and economic development, understanding and balancing the relationship between LULC and EEQ in the context of urbanization is of practical application in the planning and realization of sustainable ecological, environmental, urban, and social development in the UANST.

Matched MeSH terms: Cities
Megacities' environmental assessment for Iraq region using satellite image and geo-spatial tools

Tao H, Hashim BM, Heddam S, Goliatt L, Tan ML, Sa'adi Z, et al.

Environ Sci Pollut Res Int, 2023 Mar;30(11):30984-31034.
PMID: 36441299 DOI: 10.1007/s11356-022-24153-8

Urban areas are quickly established, and the overwhelming population pressure is triggering heat stress in the metropolitan cities. Climate change impact is the key aspect for maintaining the urban areas and building proper urban planning because spreading of the urban area destroyed the vegetated land and increased heat variation. Remote sensing-based on Landsat images are used for investigating the vegetation circumstances, thermal variation, urban expansion, and surface urban heat island or SUHI in the three megacities of Iraq like Baghdad, Erbil, and Basrah. Four satellite imageries are used aimed at land use and land cover (LULC) study from 1990 to 2020, which indicate the land transformation of those three major cities in Iraq. The average annually temperature is increased during 30 years like Baghdad (0.16 °C), Basrah (0.44 °C), and Erbil (0.32 °C). The built-up area is increased 147.1 km2 (Erbil), 217.86 km2 (Baghdad), and 294.43 km2 (Erbil), which indicated the SUHI affects the entire area of the three cities. The bare land is increased in Baghdad city, which indicated the local climatic condition and affected the livelihood. Basrah City is affected by anthropogenic activities and most areas of Basrah were converted into built-up land in the last 30 years. In Erbil, agricultural land (295.81 km2) is increased. The SUHI study results indicated the climate change effect in those three cities in Iraq. This study's results are more useful for planning, management, and sustainable development of urban areas.

Matched MeSH terms: Cities
Fulltext Perception, attitudes, and knowledge on infestation and management of bed bugs in major cities of Indonesia: A cross-sectional online survey

Meisyara D, Guswenrivo I, Veera Singham G

PLoS One, 2023;18(7):e0288682.
PMID: 37498936 DOI: 10.1371/journal.pone.0288682

The resurgence of bed bugs is a global phenomenon, but until now reports on bed bug infestations in Indonesia are rare. The success of bed bug control is affected by people's knowledge and awareness. Stigma against bed bugs in Indonesia discourages the public from reporting infestations and therefore knowledge of their impact on public health is scarce. Herein, this study investigates the public's perception, attitudes, and knowledge on bed bug-related issues in several major cities in Indonesia through an online survey. Despite low case reports, three in five respondents (n = 600) have encountered bed bugs at least once; mostly in their homes (74.1%). Approximately half of the respondents correctly identified bed bugs, whereas mites were often misidentified for bed bugs (26.3%). Bite marks were not a useful indicator for detecting bed bugs. We found age, gender, and level of education affects the public's perception toward various bed bug-related issues. Regarding bed bug treatment, above 50% respondents are unaware of the availability of bed bug-specific insecticidal products and are unwilling to pay pest management professionals to control infestation. This study provides the first overview of the public's awareness and perception of bed bug infestations in some major cities of Indonesia, which can be useful for designing public health policies for bed bug management. The reported data represents the perspectives of online users, most likely from metropolitan regions. A bigger monitoring program encompassing pest professionals and hospitality businesses would give a more thorough overview of the bed bug impact in Indonesia.

Matched MeSH terms: Cities
Fulltext Perceived unmet needs of an age-friendly environment: A qualitative exploration of older adults' perspectives in a Malaysian city

Lim XJ, Chew CC, Chang CT, Supramaniam P, Ding LM, Devesahayam PR, et al.

PLoS One, 2023;18(6):e0286638.
PMID: 37279237 DOI: 10.1371/journal.pone.0286638

This exploratory qualitative study investigates older adults' unmet needs in the age-friendly city of Ipoh, Malaysia. Seventeen participants were interviewed, including ten older adults residing in Ipoh City for at least six months, four carers, and three professional key informants. Interviews were conducted using semi-structured questions based on the WHO Age-Friendly Cities Framework. A 5P framework for active ageing based on the ecological ageing model was adapted for data analysis. The 5P framework consists of domains of person (micro), process (meso), place (macro), policymaking (macro), and prime, which allows for the dissection of older adults' unmet needs in planning for multilevel approaches, which were employed for analysis. Person: the personal needs requiring improvement included digital divide disparity, inadequate family support, and restricted sports activities attributed to physical limitations. Process: There were fewer social activities and a lack of low-cost and easily accessible venues for seniors. Economic challenges include expensive private healthcare services, variation in the quality of care in older residential care facilities, and limited savings for retirement. Place issues include unequal distribution of exercise equipment, public open spaces, the need for more conducive parking for seniors, and a place for social activities. Difficulties assessing public transportation, digitalized services, and unaffordable e-hailing services are common among seniors. Housing issues for seniors include a lack of barrier-free housing design and unaffordable housing. Policymaking: Insufficient private sector commitment to improving services to older adults, lack of policy governance on the quality of nursing homes, and insufficient multidisciplinary governance collaboration. Prime: Health promotion for preventing age-related illness is required to preserve health in old age, and full-time family caregivers' psychological well-being is often overlooked.

Matched MeSH terms: Cities
Modelling the mass adoption potentials of eBikes among Malaysian youth

Tee M, Al Mamun A, Salameh AA

Environ Sci Pollut Res Int, 2023 Sep;30(42):95475-95492.
PMID: 37548792 DOI: 10.1007/s11356-023-29129-w

This study examined (1) the effect of environmental concern, environmental knowledge, and health consciousness on attitude towards eBikes; (2) the effect of eBikes attributes of interest and infrastructure on perceived behavioural control; and finally, (3) the effect of attitude towards eBikes, subjective norms, and perceived behavioural control on eBikes commuting intention and its usage among Malaysian youth. This study adopted a cross-sectional design and convenience sampling, and collected quantitative data from 699 Malaysian youth through an online survey. Findings revealed that (1) environmental concern, environmental knowledge, and health consciousness had a positive and significant impact on attitude towards eBikes; (2) eBikes attributes of interest and infrastructure were positively and significantly related to perceived behavioural control; (3) attitude towards eBikes, subjective norms, and perceived behavioural control had a positive and significant effect on eBikes commuting intention; (4) eBikes commuting intention was positively and significantly related to the usage of eBikes; (5) eBikes commuting intention significantly mediated the relationship between attitude towards eBikes and perceived behavioural control on the usage of eBikes among Malaysian youth; and (6) eBikes commuting intention did not mediate the relationship between social norm and usage of eBikes. Although environmental knowledge and social norm are proven to have a positive and significant relationship, this analysis demonstrated a relatively low effect size. To promote environmental and sustainable development in cities through the mass adoption of eBikes among Malaysian youth, policymakers should highlight the benefits of using eBikes, introduce proper policies, and involve the development of improved and connected cycling paths in the city sustainable infrastructure plans.

Matched MeSH terms: Cities
The Application of Nature-Based Solutions for Urban Heat Island Mitigation in Asia: Progress, Challenges, and Recommendations

Ramakreshnan L, Aghamohammadi N

Curr Environ Health Rep, 2024 Mar;11(1):4-17.
PMID: 38172471 DOI: 10.1007/s40572-023-00427-2

PURPOSE OF REVIEW: Unprecedented urbanization in Asia affects the net radiation and energy flux of urban areas in the form of urban heat islands (UHI). The application of nature-based solutions (NbS) via urban green and blue infrastructures is a promising approach to mitigate UHI via urban boundary condition modifications, which affect the energy balance. This narrative review discusses the application of green and blue infrastructures in the Asian context by highlighting its progress, challenges, and recommendations. This review is descriptive in nature and includes perspectives on the discussed topics.
RECENT FINDINGS: Studies on the application of green and blue infrastructures in UHI mitigation are still scant in Asia. Their cooling performance is greatly influenced by their types, size, geometry, surface roughness, spread (threshold distance), temporal scales, topography, pollution levels, prevailing climate, and assessment techniques. Distinct urban characteristics, climatic conditions, environmental risks, lack of awareness and expertise, lack of policy and government incentives, and limited scientific studies are the major challenges in their implementation of UHI mitigation in Asia. Although green and blue infrastructures are associated with urban cooling, more in-depth experimental work and multidisciplinary research collaboration are paramount to exploring its implementation potential in Asia and other countries that share similar urban and environmental characteristics.

Matched MeSH terms: Cities

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