Patterns Of Space Utilization Research Articles

Tipologi Ruang Rumah Usaha Pengrajin Kain Sasirangan

Sasirangan fabric artisans carry out the production process in their respective houses. The house not only functions as a living space but also as a production space. Sasirangan fabric is a typical craft from Sasirangan Village, Banjarmasin, which is a source of livelihood for the community. The local government has designated Sasirangan Village as a riverfront area so that the existence and uniqueness of artisans's houses are in danger of being lost. The purpose of this case study research on the spatial typology of artists' business houses is to identify the different types of business houses based on the stage of production and space utilization patterns. The analysis was conducted by arranging categories based on function, spatial relationship patterns, and spatial organization. The research results show that six spatial typologies of business houses were found based on their space utilization patterns.

Computer vision-based intelligent elevator information system for efficient demand-based operation and optimization

Occupancy and behavior in buildings are considered to be key factors influencing energy consumption. Residential areas contribute substantially to energy consumption in urban environments and have more regular users. Developing methods that can monitor building space utilization patterns and meet occupant comfort requirements is essential for urban energy efficiency. In this work, we propose an innovative computer vision-based Intelligent Elevator Information System (IEIS), which is based on a pipeline framework that sequentially implements elevator door state judgment, passenger attribute recognition, and duplicate-free traffic counting through re-recognition in order to give demand-based operational strategies and recommendations. By monitoring the elevator occupancy on a typical weekday, the elevator operation pattern is classified into three periods including peak period, idle period and balance period, and the demand-driven operation optimization is guided based on their corresponding characteristics. Experiments show that the proposed deep learning approach exhibits high accuracy in all stages of the pipeline. IEIS can facilitate energy-efficient management of elevators, ensure safety, provide human-centered services, and reduce the cost of human intervention while achieving efficient operation, and is expected to migrate to other scenario applications, bringing multiple potential benefits to the society.

Space Utilization in Vertical Residential Complex (Rusunawa) in Jakarta, Indonesia

The rapid growth of cities, including Jakarta, encourages the conversion of non-built-up areas into built-up ones. It can threaten their sustainability. To overcome a decreasing trend of green open spaces, the Government of Jakarta (GoJ) has established a policy stipulating that urban areas must have at least 30% green open spaces. Therefore, the vertical residential complex can be a solution to reach it, especially in Simple and Low-Cost Apartment Buildings (Rusunawa). Based on previous issues, this paper analyses their surface and whether it reaches the regulation. Moreover, this paper identifies factors influencing the surface. We study 30 of 32 Rusunawas in Jakarta. Then, we conducted descriptive spatial analysis by interpreting high-resolution satellite imagery to find space utilization patterns in the Rusunawas. The findings are that: only 20 % of Rusunawas (6 of 30 Rusunawas) have reached a minimum of 30 % green open space of the total area, indicating challenges to meeting the regulation. Based on in-depth interviews with the management of Rusunawa, the findings are that: the land availability of Rusunawas' complex is limited, green open space competes with anthropogenic-living space use, and the initial site plan is not designed to meet the regulation. Moreover, in the case of Rusunawa located near the coastal area, water, and land salinity are obstacles.

Proposal of a classification method for public space usage based on pedestrian trajectory data

AbstractHerein, we propose a machine learning method based on pedestrian trajectory data to classify public space usage states and discriminate unknown usage states. Assuming that there are several frequent patterns in the usage state of public spaces, each element of the data set representing the usage state of public spaces can be classified into several clusters. Each cluster is defined as a “type” of usage state. They were classified into usage state “types” via principal component analysis and x‐means clustering. We employed data from the detection and recording of pedestrian trajectories by six 3D laser (LiDAR) sensors, conducted by the authors during the summer of 2019 in a public space in Yokohama, Japan. In the training phase, we defined “types” of usage states based on the data obtained for 3 weeks. In the test phase, the “type” of usage state was determined for the data of other periods. Consequently, 16 types that appeared at specific times and days were identified, and 1.1% of the test data were determined to be “new usage states,” which were not found in the training data. This method helps understand long‐term and complex variations in public space utilization patterns.

ANALYSIS OF SPATIAL MANAGEMENT IN REGIONAL DEVELOPMENT PLANNING (CASE STUDY: MEDAN CITY)

Spatial planning is an area pattern created or built based on planning, aiming to develop a sustainable spatial design. This study aims to analyze the spatial way of Medan City and its relation to regional development planning. This study uses an empirical juridical method using data from government agencies and literature studies. The results of this study include Medan City spatial planning is regulated in Medan City Regional Regulation No. 13 of 2011 concerning Medan City's regional spatial plan for 2011-2031 and Medan City's Regional Regulation No. 2 of 2015 regarding detailed spatial planning and Medan City zoning regulations for 2015-2035. Spatial planning depends on structural components and space utilization patterns arranged in spatial planning. Spatial planning in Medan City cannot be equated with other cities. The future spatial planning policy is a public policy that must be transparent and fair and accommodate the interests of various levels of society so that the community's involvement as development actors in the planning, utilization, and control of space is necessary. Spatial management in the city of Medan must combine structural and non-structural so that the city's objectives will achieve spatial planning.Keywords: Spatial Planning, Planning, Regional Development, Medan City

PROPOSAL OF A CLASSIFICATION METHOD FOR PUBLIC SPACE USAGE BASED ON PEDESTRIAN TRAJECTORY DATA

Herein, we propose a machine learning method based on pedestrian trajectory data to classify public space usage states and discriminate unknown usage states. Aggregated feature values for each small cell were regarded as feature vectors representing the usage state. They were classified into usage state “types” via principal component analysis and x-means clustering. During validation using actual data, 16 types appearing at specific times and days were identified, and 1.1% of the test data were determined to be “new usage states” not found in the training data. This method helps understand long-term and complex variations in public space utilization patterns.

Interpretation of the Geological Romance of Kendari Bay Using Landsat 5 TM

Kendari Bay is part of Kendari City. Kendari Bay is a city landmark in addition to its economic and environmental functions.. The condition of Kendari Bay is experiencing a fairly high sedimentation problem, so that it begins to cause problems with land availability and space utilization patterns in the Kendari Bay area. The endogenous process of dynamic earth activities is a part that needs to be considered in managing that problems. This study aims the geological conditions of Kendari Bay by using remote sensing as a form of studying the geological conditions of Kendari Bay. Using Landsat 5 TM imagery in 1990, it was used to see the natural geological conditions of Kendari Bay, using the false color composite method and interpretation of photo images visually and validated through field observations. Landsat image processing and interpretation using Quantum GIS, resulted in Kendari bay can be divided into several physiography, namely coastal zone, estuary zone, fluvial zone, plain zone, hill zone, and mountain zone (Head land). The physiography can be seen from the geological characteristics such as the lithology which is composed of alluvial deposits to limestone. The results of interpretation of composite color images and validation of direct observation data in the field show a qualitative suitability.

Environmental influences on late-summer individual Japanese eel diel activity and space utilization patterns in a shallow western Japan brackish lake

Environmental influences on late-summer individual Japanese eel diel activity and space utilization patterns in a shallow western Japan brackish lake

Research on the Utilization Mode of Underground Space in the Protection of Shanghai’s Industrial Architecture Heritage

With the arrival of the era of stock optimization, urban existing industrial areas and industrial buildings through renovation and upgrading to improve the building performance and expand the building function, more and more become an important content of urban renewal. With rich industrial building heritages in Shanghai as an example, the study was based on the ground of the industrial heritage protection status and function of underground space utilization, exploring the development and utilization of underground space to realize city both with industrial zone industrial building heritages protection development, expansion of land space and function optimization, summarized based on the industrial building heritages protection of underground space utilization patterns and their characteristics. It can provide a reference for the existing urban environmental stock renewal and expansion.

The Study of Urban Residential’s Public Space Activeness Using Space-Centric Approach

With the advancement of the Internet of Things (IoT) and communication platform, large scale sensor deployment can be easily implemented in an urban city to collect various information. To date, there are only a handful of research studies about understanding the usage of urban public spaces. Leveraging IoT, various sensors have been deployed in an urban residential area to monitor and study public space utilization patterns. In this paper, we propose a data processing system to generate space-centric insights about the utilization of an urban residential region of multiple points of interest (PoIs) that consists of 190,000m$^2$ real estate. We identify the activeness of each PoI based on the spectral clustering, and then study their corresponding static features, which are composed of transportation, commercial facilities, population density, along with other characteristics. Through the heuristic features inferring, the residential density and commercial facilities are the most significant factors affecting public place utilization.

Spatial Use Pattern of Lanting House at Kapuas Riverside in the District of Sintang, West Kalimantan

Houses floatings above water on the banks of the river are the forerunners of settlements that have existed since the past in major rivers such as in the regions of Sumatra, Kalimantan and Papua. People that utilize the potential of rivers will choose to live on those area by built a shelter on water. This dwelling, by local people, is referred to the lanting house. Dwellers will continue to transform the inside of the lanting house to adjust to the needs and to the conditions of the surrounding environment. This adjustment process creates a pattern of spatial use in Lanting houses on the banks of the Kapuas river in Sintang City. This research is classified into basic research with the scope includes a correlation relationship between the use of residential space and variables in the form of occupants and occupancy. The observation method is carried out to obtained data that related to the use of dwelling on the unit space and space layout. As the results of the study, it was found that there was a transformation in the use of inner-space and outer-space. In addition, it was found also a deviation in the pattern of space utilization in the lanting houses in the Kapuas Riverbank in Sintang City. Deviation found as a result of the adaptation process of residents to adapt to environmental conditions. Deviation of functions that occur in lanting house is found in the terrace, living room, family room, and kitchen area. Deviation of function occurs with the addition of new functions. The behavior patterns of the dwellers of the lanting house are influenced to the formation of patterns and floor planning.

Occupancy prediction model for open-plan offices using real-time location system and inhomogeneous Markov chain

Implementing intelligent control strategies of building systems can significantly improve building energy performance and maintain or increase occupants' comfort level. However, these control strategies are dependent on the occupancy models. A good occupancy prediction model requires enough input data pertinent to the occupants' space utilization patterns. Nevertheless, most of the occupancy detection systems cannot provide this detailed information. As a result, most of the research works that considered shared multi-occupied offices did not distinguish between different individuals. Therefore, their practicality is reduced when they are used for open-plan offices. In this study, the occupancy modeling (i.e., occupants’ profiles) has been further enhanced using inhomogeneous Markov chain prediction model based on real occupancy data collected by a Real Time Locating System (RTLS). After extracting the detailed occupancy information with varying time-steps from the collected RTLS occupancy data, an adaptive probabilistic occupancy prediction model is developed. The comparison between the occupancy profiles resulting from the prediction model and the actual profiles showed that the prediction model was able to capture the actual behavior of occupants at occupant and zone levels with high accuracy. The proposed model distinguishes the temporal behavior of different occupants within an open-plan office and can be used for various levels of resolution required for the application of intelligent, occupancy-centered local control strategies of different building systems. This would eventually lead to a more robust control of building systems as well as more satisfied occupants.

Optimizing spatial healthcare assets with Internet of Things.

Six percent of the total cost of healthcare delivery in Australia is from buying, building and maintaining physical assets. Current practice does not measure the efficient use of existing clinical spaces prior to making funding decisions for service expansion, remodeling or relocation. Healthcare service delivery can be increased through existing assets by optimizing the use of clinical space. The wait times for healthcare service consumers and capital expenditure pressures could be reduced, which would result in increased funds available for frontline services. Sensor technology has been used to study aspects of time in ambulatory outpatient clinics using Infra-red Tags or Radio Frequency Identification tags. This paper proposes the use of Internet of Things (IoT) technology to assist in the optimization of high-value clinical spaces and presents phase one of the project where a trial was held in a non-clinical location to evaluate sensor performance. In Phase two, sensors will be installed to count people across an ambulatory outpatient clinic in a live public healthcare environment to understand clinical space utilization and inform decision-makers. The data produced by the sensors on room use is processed for visualization in "dashboard" format so frontline and executive staff have evidence-based decision-making support for space optimization strategies. This paper presents the phase one trial and preliminary results that show the disparity space utilization patterns between the IoT sensed occupancy data with the current room reservation system in a non-clinical space.

MIX USE PATTERN OF GENDER BASIS BATIK CRAFTSMAN RESIDENTIAL HOUSES IN BABAGAN VILLAGE

Phenomenon of residential houses function changing in the settlements of batik craftsmen is the result of the transformation process of cultural and social dynamics that exist in society. The pattern of residential space changes as space functions are needed. The village of Babagan batik craftsmen is a traditional village that has life values and local wisdom which are reflected in the utilization of residential spaces. Residential houses within the settlement initially had a role for the social function, yet by the time, almost all houses in Babagan village are used for batik production function. The house, which should be a residence, has changed its function into a business space to produce batik by applying mix use pattern. This research discusses the pattern of residential space use in mix use pattern by batik craftsmen who are undertaken by women as an effort to increase the family economic sector. This research uses qualitative method with phenomenology paradigm, which is trying to understand the meaning (meaning seeking) of an event and its relation with the ordinary people in certain situations (Moleong, 2000). The analytical method used is descriptive interpretative analysis. Result of the research indicates that there is space utilization by using pattern of mix use based on gender, that is a concept of residence with pattern of space utilization as batik production business without changing or adding the living room order. Yet the residential spaces are conditioned by the mix use by women as batik production rooms.

Transformasi Spasial di Kawasan Peri Urban Kota Malang

Limited land in the centre of the city will encourage people to choose residing in the suburb area as alternative, which of course also effect transformation in those areas. Spatial transformation that occured in peri-urban area will change the pattern of space utilization existed in that region. The population growth rate of Malang city is approximately 0,86% larger than that in East Java (0,75%). The increasing number of population growth in Malang occured unevenly in all parts of the city. The purpose of this research is to review the spatial transformation occuring in peri-urban area of Malang city by firstly analyzing the location of peri-urban based on its land usage. The analysis is conducted with geographic information system ArcGis 9.3, which is benefited to analyze map overlay dan kernel density analyze. Based on the result of analysis, it is discovered that there is a difference of spatial transformation between the north and south region of peri-urban areas in Malang city. Kedung Kandang district, which is located in the south region, experienced a low transformation with a linier trend of developing land pattern. Meanwhile, Lowokwaru district is experiencing high transformation with a concentric trend of developing land pattern. This difference occured due to several factors, which are population factor like high growth population, center of activity, accessibility, the role of developer, and policy factor related with direction of spatial region patter.The trend of distribution pattern in population density and developed land aimed on the northern part of the city indicated the direction of the city development trend.

Pola Pemanfaatan Ruang pada Usaha Berbasis Rumah (UBR) di Klaster Batik Jenggot Kota Pekalongan

<p><em>Housing has an important role in the economic development of the family. Besides has a function as a comfortable dwelling unit, the housing also used as a place to business activity through the Home Based Enterprises (HBE). Pekalongan City is the city where batik industries are growing rapidly. Cluster Batik Jenggot is the top three of batik clusters from 11 batik clusters in Pekalongan City. HBE is enterprises activities that highly contribute to the economic structure of Pekalongan City. However, HBE at Cluster Batik Jenggot is faced with the problems that the house used as a place of enterprises and dwelling has not clearly border. The aim of this research is to examine the pattern of utilization of space at HBE in Cluster Batik Jenggot. The study is conducted by qualitative research methods. Technique sampling is using snowball sampling to 9 respondents. The analysis is done by qualitative descriptive analysis. The results show that the pattern of space utilization at home for batik printing activities is classified into two typologies, i.e. mixture and separate typology. In the mixture typology, the utilization of space in the main building is both for a place to work and residence, which printing activity usually is done on the outside of the house. While in the separate typology, the working space is provided separately, which usually provided in the beside, behind, and in front of the main building. The utilization of spaces at UBR is adjusted to the type and timing of activity.</em></p>

When reactive agents are not enough: Tactical level decisions in pedestrian simulation

Pedestrian and crowd simulation is generally focused on operational level decisions, providing the choice of exact steps of pedestrians in a representation of the environment, with the aim of replicating observed patterns of space utilization, trajectories and timings. When relatively large environments are considered, though, tactical level decisions become equally important: in general, multiple paths can be followed to reach a target from an entrance or starting point, and path length might not be the only reasonable criterion. This paper presents a hybrid agent architecture for modeling different types of decisions in a pedestrian simulation system, encompassing a floor-field based operational level (based on a “least effort” principle) and an adaptive tactical level component, provided with a graph-like representation of the envornment, considering both perceived congestion and characteristics of potential paths in the related decision. The model is experimented and evaluated both qualitatively and quantitatively in benchmark scenarios to show its adequacy and expressiveness.

Assessment of benthic disturbance associated with stingray foraging for ghost shrimp by aerial survey over an intertidal sandflat

One notable type of bioturbation in marine soft sediments involves the excavation of large pits and displacement of sediment associated with predator foraging for infaunal benthos. Batoids are among the most powerful excavators, yet their impact on sediment has been poorly studied. For expansive tidal flats, only relatively small proportions of the habitat can be sampled due to physical and logistical constraints. The knowledge of the dynamics of these habitats, including the spatial and temporal distribution of ray bioturbation, thus remains limited. We combined the use of aerial photogrammetry and in situ benthic sampling to quantify stingray feeding pits in Tomioka Bay, Amakusa, Japan. Specifically, we mapped newly-formed pits over an 11-ha section of an intertidal sandflat over two consecutive daytime low tides. Pit size and distribution patterns were assumed to scale with fish size and reflect size-specific feeding behaviors, respectively. In situ benthic surveys were conducted for sandflat-surface elevation and prey density (callianassid shrimp). The volume versus area relationship was established as a logistic function for pits of varying sizes by photographing and refilling them with sediment. This relationship was applied to the area of every pit detected by air to estimate volume, in which special attention was paid to ray ontogenetic change in space utilization patterns. In total, 18,103 new pits were formed per day, with a mean individual area of 1060cm2. The pits were divided into six groups (G1 to G6 in increasing areas), with abundances of G1, G2+G3, and G4−G6 being medium, high, and low, respectively. Statistical analyses using generalized linear models revealed a marked preference for the higher prey-density areas in G1 and the restriction of feeding grounds of G4−G6 to the lower shore, with G2+G3 being generalists for prey density and sandflat elevation. The lower degrees of overall bioturbation by G1 and G4−G6 were spatially structured for the eight sub-areas demarcated by prey density and sandflat elevation, while G2+G3 homogenized the state over the sandflat. The newly-formed pits׳ sub-areal mean numerical, excavated-areal, and displaced-sediment-volume densities per day were confined to small ranges: 0.14–0.17m−2, 132–223cm2m−2, and 551–879cm3m−2 (latter two including 119 shallow non-pit excavations). These bioturbation rates are positioned at relatively high levels compared with those by rays from other geographic regions. The present procedure is applicable to the assessment of disturbance by any surface-sediment excavators on tidal flats if their pit dimensions are discernible from the air.

EVALUASI KEBIJAKAN PENGELOLAAN KAWASAN PANTAI UTARA KABUPATEN BEKASI DALAM PENINGKATAN KESEJAHTERAAN MASYARAKAT PESISIR

The objectives of this research are to (i) Evaluate the desired results in the policies concerning spatial planning in North Coast Special Area Bekasi; (ii) analyze the people's views in the framework of the implementation of policies concerning the plan space utilization patterns in the North Coast Special Area Bekasi; and (iii) analyze the positive impact on gross domestic product of policy implementation plan regarding the utilization of space, in the North Coast Special Area Bekasi. This research was conducted in Coastal Areas Bekasi which consists of three districts namely Babelan District, District Tarumajaya, and Muara Gembong District covering an area of 24615.06 ha. Analysis of the data has been obtained from field data collection activities. Examination of the data in this research done by triangulation technique which is based on sources and methods to confirm the interview data, observation, questionnaires and documents. This study concludes, as follow: 1) The authorities in order to prioritize the utilization and management of coastal development Bekasi in the industrial sector; 2) The private sector to give priority to the industrial sector increased employment, achieve optimization ofthe utilization of coastal areas; 3) Community considers that the main priority is the priohty use of the industry, except for the prevention of environmental degradation, conservation, cultural activities and cultural goals to prioritize transportation and tourism, 4) The view NGOs to prioritize the utilization ofthe industryas a major priority in orderto develop the coastal villages Bekasi, and 5) Banking holds to the phority use ofmost ofthe industrial sector. Third, the positive impact the implementation of policies conceming the utilization of space in North Coast Special Area Bekasi to increase gross domestic income can be viewed through the largest contribution to GDP formation Bekasi.

Intertidal and subtidal blennies: assessment of their habitat through individual and nest distribution

MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 383:273-283 (2009) - DOI: https://doi.org/10.3354/meps07986 Intertidal and subtidal blennies: assessment of their habitat through individual and nest distribution Alessandro Duci, Eva Giacomello, Nicole Chimento, Carlotta Mazzoldi* Department of Biology, University of Padova, Via U. Bassi 58/B, 35131 Padova, Italy *Corresponding author: Email: carlotta.mazzoldi@unipd.it ABSTRACT: Resident and transitory intertidal fish species are expected to differ in their utilization of space in the intertidal zone. Here we assessed fish zonation patterns on 2 rocky shores of the northwestern Adriatic Sea (where tides can range up to 1.5 m) using blennies as study species and distribution of both individuals and nests as methodological tools. Of the 12 species observed, 5 were found exclusively in the intertidal zone: Aidablennius sphynx, Coryphoblennius galerita, Lipophrys adriaticus, L. canevae and L. dalmatinus. Two species, Parablennius rouxi and P. tentacularis, were found only in the subtidal zone, whilst P. gattorugine, P. incognitus, P. sanguinolentus, P. zvonimiri and Salaria pavo were observed in both environments. Nest distribution mirrored individual distribution, strongly indicating that some blenny species can be considered true intertidal residents, spending the main part of their lives in this area. Intertidal and subtidal species showed different patterns of space utilization. Indeed, the former nested higher in the vertical distribution than the average depth at which individuals were recorded, and the latter, despite visiting the intertidal area at high tide, always nested below the minimum water line. These results show that, contrary to theoretical predictions, intertidal-resident fish may fully exploit intertidal habitats, for foraging and for reproduction, occupying even the sectors most distal from the subtidal zone, i.e. the most variable in terms of physical conditions. Moreover, nest distribution was found to be an effective measure of residence and thus a useful referent to evaluate space use in intertidal fish. KEY WORDS: Blenniidae · Nest · Eggs · Intertidal fish · Vertical zonation · Adriatic Sea Full text in pdf format PreviousNextCite this article as: Duci A, Giacomello E, Chimento N, Mazzoldi C (2009) Intertidal and subtidal blennies: assessment of their habitat through individual and nest distribution. Mar Ecol Prog Ser 383:273-283. https://doi.org/10.3354/meps07986 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 383. Online publication date: May 14, 2009 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2009 Inter-Research.