Multiscale Effects of Multimodal Public Facilities Accessibility on Housing Prices Based on MGWR: A Case Study of Wuhan, China

The layout of public service facilities and their accessibility are important factors affecting spatial justice. Previous studies have verified the positive influence of public facilities accessibility on house prices; however, the spatial scale of the impact of various public facilities accessibility on house prices is not yet clear. This study takes transportation analysis zone of Wuhan city as the spatial unit, measure the public facilities accessibility of schools, hospitals, green space, and public transit stations with four kinds of accessibility models such as the nearest distance, real time travel cost, kernel density, and two step floating catchment area (2SFCA), and explores the multiscale effect of public services accessibility on house prices with multiscale geographically weighted regression model. The results show that the differentiated scale effect not only exists among different public facility accessibilities, but also exists in different accessibility models of the same sort of facility. The article also suggests that different facilities should adopt its appropriate accessibility model. This study provides insights into spatial heterogeneity of urban public service facilities accessibility, which will benefit decision making in equal accessibility planning and policy formulation for the layout of urban service facilities.

Jejak Manajemen Air di Masa Hindia-Belanda; Identifikasi Saluran Air di kawasan Stasiun Bogor

This article describes the identification of the trace of the water management system during the Dutch East Indies era, in the form of a water channel found in the Bogor Station area. The analysis will be viewed from the spatial context; the significance of the water channel with the nearest river, the significance of the water channel to the nearest public facility, and its relevance to the racial urban space in Bogor. This research used a historical method that consists of four stages; heuristics, critics, interpretation, and historiography. Observations were made to explain the physical form and the estimated period of water channel construction. The results showed that the water channel near the Bogor Station was made with modern technology. In the past, the channel may have functioned as drainage that connected to the Ci Pakancilan. The location of the waters channel adjacent to public facilities and government administrative centers showed the accuracy of the Department of Public Works in anticipating floods and puddles in the area of European activity.

Design Model of Urban Leisure Sports Public Facilities Based on Big Data and Machine Vision

Sports facilities are the material basis for people to participate in physical exercise. The construction of facilities is conducive to improving people’s health and their expectations for a happy life. Sports facilities are part of the infrastructure. The reasonable layout of sports facilities is conducive to shortening the gap between urban and rural areas, achieving common economic prosperity, and promoting social harmony and unity. Public sports facilities are of great significance to urban construction and people’s daily lives. Based on big data and machine vision, this document constructs a big data model framework for urban public sports and leisure facilities, quantifies the diversity and overall coordination of sports facilities, and conducts simulation experiments on the designed urban leisure and sports public facility model. The experimental results show that compared with the traditional method, this method effectively improves the coverage of urban leisure and sports public facilities, and the space utilization rate is increased by 15.32% compared with the traditional method, which maximizes the use of regional space and makes it more convenient for urban residents. It can carry out physical exercise quickly and improve the quality of life of residents.

Cost of TB services in the public and private sectors in Georgia (No 2)

BACKGROUND: Patient-centred care along with optimal financing of inpatient and outpatient services are the main priorities of the Georgia National TB Programme (NTP). This paper presents TB diagnostics and treatment unit cost, their comparison with NTP tariffs and how the study findings informed TB financing policy.METHODS: Top-down (TD) and bottom-up (BU) mean unit costs for TB interventions by episode of care were calculated. TD costs were compared with NTP tariffs, and variations in these and the unit costs cost composition between public and private facilities was assessed.RESULTS: Outpatient interventions costs exceeded NTP tariffs. Unit costs in private facilities were higher compared with public providers. There was very little difference between per-day costs for drug-susceptible treatment and NTP tariffs in case of inpatient services. Treatment day financing exceeded actual costs in the capital (public facility) for drug-resistant TB, and this was lower in the regions.CONCLUSION: Use of reliable unit costs for TB services at policy discussions led to a shift from per-day payment to a diagnosis-related group model in TB inpatient financing in 2020. A next step will be informing policy decisions on outpatient TB care financing to reduce the existing gap between funding and costs.

The use of respondent‑driven sampling to assess febrile illness treatment-seeking behaviours among forest-goers in Cambodia and Vietnam

Background Countries in the Greater Mekong sub-region (GMS) aim to eliminate all forms of malaria by 2030. In Cambodia and Vietnam, forest-goers are at an increased risk of malaria. Universal access to prompt diagnosis and treatment is a core malaria intervention. This can only be achieved by understanding the healthcare-seeking behaviour among the most vulnerable groups and eliminating barriers to prompt and effective treatment. This study aimed to explore healthcare-seeking behaviours for febrile illness among populations at risk for malaria in Cambodia and Vietnam. Methods In 2019, researchers from Population Services International (PSI) conducted a population-based survey of forest-goers in Cambodia and Vietnam using respondent-driven sampling (RDS) In Cambodia two operational districts, Oral and Phnom Srouch in Kampong Speu Province were included in the study. In Vietnam, communes located within 15 km of the forest edge in Binh Phuoc and Gia Lai Provinces were selected. Adults who had spent at least one night per week or four nights per month in the forest over the previous three months were eligible for the study. Results Some 75% of forest-goers in Cambodia and 65% in Vietnam sought treatment for illness outside the home. In Cambodia, 39% sought treatment from the private sector, 32% from community health workers, and 24% from public health facilities. In Vietnam, 62% sought care from community facilities, 29.3% from the private sector, and 6.9% went to a public facility. Among forest-goers who sought care, 33% in Cambodia and 52% in Vietnam did so within 24 h. Conclusions This study is consistent with others that show that early diagnosis and treatment of malaria remains an obstacle to malaria elimination. This study also demonstrates that there are gaps in timeliness of care seeking among forest-goers. The findings from this study around provider preference and delays in treatment-seeking can be used to strengthen the design and targeting of malaria interventions and social and behaviour change strategies to accelerate malaria elimination in Cambodia and Vietnam.

Activity and Time Value of Public Passenger Transportation Users During the Covid-19 Pandemic in 2020 (Bus of Batik Solo Trans Corridor 4 in Surakarta)

The Covid-19 pandemic in 2020 has a significant impact on all countries' social and economic conditions, including Indonesia. It is fitting that social and economic changes also affect the transportation sector. The value of economic benefits in one public facility operation also depreciated due to the economic recession. One of the variables that can be reviewed is the time value of public passenger transportation users (AUP) to measure how much depreciation has occurred. This study specifically for travel is learning, using the bus mode Batik Solo Trans (BST) Corridor 4. Development of scenarios for questionnaires with stated preference methods, using the choice mode between motorbikes and AUP as an option, and the mode utility is approached with the equation multiple linear regression. The results of the analysis show that the time value of the user in the fleet is IDR 274.67 / hour for a distance of 8.35 km and the Time Value for a distance of 13.0 km = IDR 240.82 / hour with a Value of Activity (VoA) which is close to zero because the activity in the fleet has no financial value. This time value is considerably smaller than the AUP time value with the same intention of trip, studying, which was analyzed in 2015, which was IDR 4,708 / hour.

A hybrid machine learning method for increasing the performance of network intrusion detection systems

The internet has grown enormously for many years. It is not just connecting computer networks but also a group of devices worldwide involving big data. The internet provides an opportunity to make various innovations for any sector, such as education, health, public facility, financial technology, and digital commerce. Despite its advantages, the internet may contain dangerous activities and cyber-attacks that may happen to anyone connected through the internet. To detect any cyber-attack intrudes on the network system, an intrusion detection system (IDS) is applied, which can identify those incoming attacks. The intrusion detection system works in two mechanisms: signature-based detection and anomaly-based detection. In anomaly-based detection, the quality of the machine learning model obtained is influenced by the data training process. The biggest challenge of machine learning methods is how to build an appropriate model to represent the dataset. This research proposes a hybrid machine learning method by combining the feature selection method, representing the supervised learning and data reduction method as the unsupervised learning to build an appropriate model. It works by selecting relevant and significant features using feature importance decision tree-based method with recursive feature elimination and detecting anomaly/outlier data using the Local Outlier Factor (LOF) method. The experimental results show that the proposed method achieves the highest accuracy in detecting R2L (i.e., 99.89%) and keeps higher for other attack types than most other research in the NSL-KDD dataset. Therefore, it has a more stable performance than the others. More challenges are experienced in the UNSW-NB15 dataset with binary classes.

The gap analysis between perception and expectation of visitor in Bantimurung Bulusaraung National Park

This study aimed to analyze the gap between visitors’ perception and expectation for better development of ecotourism potential in Bantimurung Bulusaraung National Park (BBNP). The gap analysis approach used a descriptive survey to 200 respondents selected by non-probability sampling in November 2018. Several ecotourism potentials assessed were accessibility, accommodation, cultural attractions, public facilities, human resources, information and natural attractions. The result showed that there is a higher expectation rather than perception of visitor in BBNP. The highest gap value was found in public facility [-1.71], while the lowest gap value was found in accessibility [-0.97]. Thus, public facility should be prioritized to develop in order to meet the visitor s’ expectation. In term of public facility, the highest gap value was found in communication facilities (telephone, fax, internet), while the lowest gap value was found in garbage dump and clean water availability. Therefore, the top priority to improve was the quality and quantity of communication facilities (telephone, fax, internet).

Appropriate Site Development in the Application of the Green Building Concept: An Evaluation of the Planning of Gianyar Public Market

<p class="Abstract"><em>Appropriate Site Development is one of the Greenship criteria for maintaining or expanding urban greenery in order to improve microclimate quality, decrease CO2 and other pollutants, avoid soil erosion, reduce drainage system loads, and keep the balance between clean water and groundwater systems. </em><em>The GREENSHIP concept is a solution to the decline of the green spaces of Gianyar regency, which has been due to the construction of hotels and villas for tourism</em><em>. The Government of Gianyar Regency in Bali Province is committed to applying the concept by planning Gianyar Public Market as the first public facility that uses the idea. This study evaluated whether the application of the Green Building concept, particularly the one in the category of Appropriate Site Development, will be beneficial for the users and the surrounding environment. The evaluation used mixed-methods, which incorporated a case study approach</em><em>.</em><em> </em><em>Two key persons were interviewed. The collected interview data combined with the secondary data were processed with the GREENSHIP rating tools</em><em>. Results of the evaluation show that, in the category of Appropriate Site Development, the planning of Gianyar Public Market obtains 41.18% points. It means that the planning has not yet adequately fulfilled the criteria. Therefore, some efforts and improvements need to be taken and made to fulfill the criteria of the categories in which the planning has not yet obtained maximum points. One of such categories is technology application.</em><em></em></p>