Geoplanning Journal of Geomatics and Planning最新文献

{"title":"A GIS-BASED TSUNAMI EVACUATION MODEL CONSIDERING LAND COVER AND SPATIAL CONFIGURATION (CASE OF PURWOREJO REGENCY, INDONESIA)","authors":"F. F. Hakim, W. D. Vries, F. Siegert, Joesron Alie Syahbana","doi":"10.14710/GEOPLANNING.4.2.143-156","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.4.2.143-156","url":null,"abstract":"In Indonesia, several programs have dealt with tsunami mitigation, such as The German-Indonesian Tsunami Early Warning System (GITEWS) project (2005-2011). Despite the success of these projects, many coastal areas in Indonesia are still vulnerable to tsunamis, due to the variety of land cover and spatial configuration characteristics. One of such vulnerable areas includes Purworejo Regency. This paper evaluated the degree to which land cover and spatial configuration characteristics influence the tsunami evacuation process, and thus influence tsunami hazard mitigation. The evaluation drawn on data from a low to medium density populated coastal area of Purworejo Regency. The analysis relied on a quantitative approach, using a cross-sectional field survey, followed by a GIS-based analysis. This is complemented by a raster-based analysis to incorporate the land cover and spatial configuration aspects.  The combined analysis derived which buildings could act as evacuation buildings in case of a tsunami. The associated tsunami evacuation routes were calculated using a Least Cost Path (LCP) analysis method. The results suggested that several public facility buildings are likely to be used as tsunami evacuation buildings. Yet, even though the overall capacity of these buildings is adequate to accommodate the estimated number of evacuees in a larger area, the specific demand at certain locations in the study area is much higher than these localities can handle. This disproportionate spatial variation in required capacity needs further attention. Moreover, the survey responses indicated that the majority of the respondents was not well informed regarding the tsunami evacuation procedures","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.4.2.143-156","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45653570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MAPPING AND ASSESSMENT OF TRAFFIC CONGESTION ON MAJOR ROADS IN MINNA (CASE STUDY OF CHANCHAGA L.G.A)","authors":"O. G. Ajayi, A. T. Oluwunmi, J. Odumosu, T. J. Adewale","doi":"10.14710/GEOPLANNING.4.2.171-186","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.4.2.171-186","url":null,"abstract":"The level of urbanization in the developing world indicates that more people live in cities nowadays than before. As urbanization increases, road usage also proportionately increases which sometimes introduce some strains to the existing road. As a consequence, it constitutes some impediments to free traffic flow. The situation described above is located on Chanchaga Local Government Area of Niger State, an urban center in North central, Nigeria. In order to investigate the probable causes and degree of severity of this menace, attempt has been made in this research to investigate and map out the nature of traffic congestion frequently experienced on some selected roads within Chanchaga LGA. These road networks include: Kpakungu-Gidan Kwano road, Bosso-Mobil route, Bosso–Mekunkele route, Kpakungu–city gate road and Book roundabout–Mobil Route. Using a 1m Pan-Sharpened spatial resolution IKONOS Image, handheld GPS receivers, and manual traffic count, the traffic patterns of the selected road networks within the study area were assessed and mapped out. A Geo-Database was also designed for the routes which provide information about the road pavement condition, average traffic volume, adjacent land use, etc. Analysis of results and other performed queries revealed that the most probable causes of traffic congestion in Chanchaga LGA were due to narrow road width, bad road pavement and indiscriminate parking of vehicles along the road corridors, especially by commercial cab drivers. Conclusively, it was observed that the Kpakungu axis of Minna – Bida road is the most congested route of the entire road networks considered, closely followed by the Bosso-Mobil Road. The traffic gridlock along these routes is most prominent on Mondays and Wednesdays (around 8am and 4pm) and correspondingly on Fridays (around 1-4pm). Furthermore, a free traffic flow is frequently experienced on Saturdays by 8am which gradually builds a synchronized flow around the evening time on all the considered road networks.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.4.2.171-186","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45444620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Model of Soil and Water Conservation Measures Application based on District Spatial Planning in Mamasa Watershed, South Sulawesi","authors":"S. Yusuf","doi":"10.14710/GEOPLANNING.4.2.263-272","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.4.2.263-272","url":null,"abstract":"Depletion of watershed carrying capacity cannot be omitted from mismanagement of the watershed. The integration between SWAT model and remote sensing data are able to identify, assess, and evaluate watershed problem as well as a tool to apply the mitigation of the problem. The aim of this study was to arrange the scenario of watershed management, and decide the best recommendation of sustainable watershed management of Mamasa Sub Watershed. The best recommendation was decided by hydrology parameters, e.i. surface runoff, sediment, and runoff coefficient. Hydrology characteristics of Mamasa Sub Watershed was analyzed based on land use data of year 2012 and climate data for period of 2010-2012. The scenarios were application of bunch and mulch in slope 1-15%; bunch terrace (scenario 1), mulch and strip grass in slope 15-25% (scenario 2), alley cropping in slope 25-40% (scenario 3), and combination scenario 1, 2, 3 with agroforestry in slope > 40% (scenario4). Surface runoff value of Mamasa Sub Watershed is 581.35 mm, while lateral flow, groundwater flow, runoff coefficient, and sediment yield of 640.72 mm, 228.17 mm, 0.29, and 187.213 ton/ha respectively. Based on the scenario’s simulation, the fourth scenario was able to reduce surface runoff and sediment yield of 33.441% and of 51.213%, while the runoff coefficient declined to 0.194. Thereby, the fourth scenario is recommended to be applied in Mamasa Sub Watershed so that the sustainability in the watershed can be achieved.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.4.2.263-272","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42276407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"THE PERFORMANCE OF LAND USE CHANGE CAUSATIVE FACTOR ON LANDSLIDE SUSCEPTIBILITY MAP IN UPPER UJUNG-LOE WATERSHEDS SOUTH SULAWESI, INDONESIA","authors":"A. S. Soma, T. Kubota","doi":"10.14710/GEOPLANNING.4.2.157-170","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.4.2.157-170","url":null,"abstract":"The study aims to develop and apply land use change (LUC) performance on landslide susceptibility map using frequency ratio (FR), and Logistic regression (LR) method in a geographic information system. In the study area, Upper Ujung-loe Watersheds area of Indonesia, landslides were detected using field survey and air photography from time series data image of Google Earth Pro from 2012 to 2016 and LUC from 2004 to 2011. Landslide susceptibility map (LSM) was constructed using FR and LR with nine causative factors. The result indicated that LUC affect the production of LSM. Validation of landslide susceptibility was carried out in this study at both with and without LUC causative factors. First, performances of each landslide model were tested using AUC curve for success and predictive rate. The highest value of predictive rate at with LUC in both FR and LR method were 83.4 % and 85.2 %, respectively. In the second stage, the ratio of landslides falling on high to a very high class of susceptibility was obtained, which indicates the level of accuracy of the method.LR method with LUC had the highest accuracy of 80.24 %. Taken together, the results suggested that changing the vegetation to another landscape causes slopes unstable and increases probability to landslide occurrence.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.4.2.157-170","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48550873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the Usefulness of Unmanned Aerial Vehicle (UAV) for Monitoring Spatial Plan: Legal and User Perspective of Bogor Regency, Indonesia","authors":"Dinar Maria","doi":"10.14710/geoplanning.4.2.257-262","DOIUrl":"https://doi.org/10.14710/geoplanning.4.2.257-262","url":null,"abstract":"Monitoring is a critical process in managing the land use plan. However, the current approach to collecting data related to the land use has a shortcoming. First, field survey has limitation due to the high number of resources needed, i.e., people, funds, time. Second, the participatory approach has limitation due to the lack of involvement of the citizens. Unmanned Aerial Vehicle (UAV) has developed in recent years and it been used in the various field, i.e., urban dynamics, asset monitoring, and so on. The usage of UAV to monitor urban changes has some advantage. First, it can cover a large area and used fewer resources compared with the field survey, in term of man hour, funds and time. Second, it may provide data with a high spatial resolution, which give a broad possibility for analysing urban features. This research aimed to assess the usefulness of UAV in monitoring the spatial plan of Bogor Regency, Indonesia. We developed indicator according to the legal and user perspective. Our research has shown that UAV may reduce the time and resources needed to monitor the spatial plan. However, the UAV has limitation since it is difficult to indicate the changes of the land use. Therefore, we suggest incorporating with the field survey.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/geoplanning.4.2.257-262","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46279052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ADVANCED LAND COVER MAPPING OF TROPICAL PEAT SWAMP ECOSYSTEM USING AIRBORNE DISCRETE RETURN LIDAR","authors":"S. Manuri, H. Andersen, C. Brack, Bruce J. Doran","doi":"10.14710/GEOPLANNING.4.1.1-8","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.4.1.1-8","url":null,"abstract":"The ability to better understand tropical peat ecosystems for restoration and climate change mitigation is often hampered by the lack of availability accurate and detailed data on vegetation cover and hydrologys, which is typically only derived from detailed and high-resolution imaging or field-based measurements. The aims of this study were to explore the potential advantage of airborne discrete-return lidar for mapping of forest cover in peat swamp forests. We used 2.8 pulse.m -1 lidar and the associated 1-m DTM derived from an airborne platform. The lidar dataset fully covered a 120 thousand hectare protection forest in Central Kalimantan. We extract ed maximum vegetation heights in 5-m grid resolution to allow detailed mapping of the forest. We followed forest definition from FAO for forest and non-forest classification. We found that lidar was able to capture detail variation of canopy height in high-resolution, thus provide more accurate classification. A comparison with existing maps suggested that the lidar-derived vegetation map was more consistent in defining canopy structure of the vegetation, with small standard deviations of the mean height of each class.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.4.1.1-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47294594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MODEL OF CLIMATE AND LAND-USE CHANGES IMPACT ON WATER SECURITY IN AMBON CITY, INDONESIA","authors":"R. Barkey, Muh Faisal Mappiasse, M. Nursaputra","doi":"10.14710/GEOPLANNING.4.1.97-108","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.4.1.97-108","url":null,"abstract":"Ambon City is the center of national activities in Maluku province, established under Presidential Decree 77 issued in 2014 about spatial planning of Maluku Islands. Ambon is a strategic region in terms of development in agriculture and fisheries sectors. Development of the region caused this area to be extremely vulnerable to the issues on water security. Seven watersheds which are Air Manis, Hutumury, Passo, Tulehu, Wae Batu Merah, Wae Lela and Wae Sikula affect the water system in Ambon City. Therefore, this study was conducted to determine the impact of climate and land use change on water availability in seven watersheds in Ambon City. The analysis was performed using a Soil and Water Assessment Tool (SWAT) Model in order to analyze climate changes on the period of 1987-1996 (past), of 2004-2013 (present) and climate projection on the period 2035s (future) and equally to analyze land use data in 1996 and 2014. The results of the research indicated that land use in the study area has changed since 1996 to 2014. Forest area decreased around 32.45%, while residential areas and agriculture land increased 56.01% and 19.80%, respectively. The results of SWAT model presented the water availability amount to 1,127,011,350 m 3 /year on the period of 1987-1996. During the period of 2004-2013, it has been reduced to 1,076,548,720 m 3 /year (around 4.48% decrease). The results of the prediction of future water availability in the period of 2035s estimated a decrease of water availability around 4.69% (1,026,086,090 m 3 /year). Land use and climate change have greatly contributed to the water availability in seven watersheds of Ambon City. Ambon City is in need of land use planning especially the application of spatial plan. The maintenance of forest area is indispensable. In built-up areas, it is essential to implement green space and water harvesting in order to secure water availability in the future.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.4.1.97-108","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46513228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SPATIAL VARIETY AND DISTRIBUTION OF TRADITIONAL MARKETS IN SURAKARTA AS POTENTIAL FACTORS IN IMPROVING SPATIAL-BASED MANAGEMENT","authors":"I. Aliyah, B. Setioko, W. Pradoto","doi":"10.14710/GEOPLANNING.4.1.63-74","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.4.1.63-74","url":null,"abstract":"Traditional markets function as trading place, socio-culture interaction, and recreation facility either in regional or urban scope. Distribution and variety of spatial condition influence traditional markets’ planning both physically and non-physically. Therefore, this research aimed to conduct a mapping of traditional markets’ spatial distribution and variety as potential factors to improve spatial-based management. Analysis methods including: (1) Mapping by employing Geographic Information System, (2) Category Based Analysis (CBA), and (3) Interactive Analysis were applied in Surakarta City as the research location. The result of this research signifies that spatial variety and distribution of traditional markets in Surakarta had similar pattern between one market to others; overlapping service function; specific commodity types in accordance with the market’s characteristics; diverse operating hours. Spatial variety and distribution could be potential factors to improve traditional market management as shopping service. This result was contrasted with Central Place Theory by Christaller and NAEss & Jensen’s research finding stating that distance became a key factor influencing accessibility to a number of activity facilities. Therefore, distance toward the service center is not considered as the main factor in traditional market management. The main factor in managing and controlling traditional markets’ development includes service function, commodity specification, and operating hour’s flexibility.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.4.1.63-74","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45212297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SPATIAL TRANSFORMATION OF SURAKARTA’S PERIPHERAL RURAL VILLAGES UNDER IN-SITU URBANIZATION PHENOMENON : THE CASE OF GENTAN VILLAGE","authors":"L. Purnamasari, G. Yudana, E. Rini","doi":"10.14710/GEOPLANNING.4.1.83-96","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.4.1.83-96","url":null,"abstract":"Surakarta is one of the rapidly growing Indonesian cities. The pressure towards its peripheral area results in ‘in-situ urbanization’ phenomenon of its rural village surroundings. Gentan is one of Surakarta adjacent rural villages that has been undergoing rapid spatial transformation from rural to urban settlement in the last 20 years (1995-2016). This research aims to clarify the spatial transformation in Gentan village through examinations of its spatial elements on higher resolution level; (1) transformation of its street network connectivity, (2) land use pattern, (3) building density, and (4) public facilities and accessibility. Secondary data from satellite imagery and government institution and primary data from field survey were used in this research as sources. From Gentan’s spatial elements observations, this research concluded that this village was transforming into urban settlements by its spatial elements characteristics. Furthermore, this research provides interesting findings by its analysis on the neighborhood level that while Gentan was transforming into urban settlement, its internal connectivity was decreasing, residential uses dominated its land use, the village was dominated by the formal settlement, and the reach distance of its public facilities fluctuated across the time.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.4.1.83-96","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43109193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"STUDY OF SEA LEVEL RISE USING SATELLITE ALTIMETRY DATA IN THE SEA OF DUMAI, RIAU, INDONESIA","authors":"Dewi Ariana, C. Kusmana, Y. Setiawan","doi":"10.14710/GEOPLANNING.4.1.75-82","DOIUrl":"https://doi.org/10.14710/GEOPLANNING.4.1.75-82","url":null,"abstract":"Climate change and global warming has impacted the entire world. It has caused ice melting at the poles, climate extreme event, land subsidence which further affected sea level to rise, such as particularly, in Dumai coastal areas. To date, sea level rise is one of the important global issues. This increases the vulnerability effect in coastal areas which threatens human life, especially those living in coastal regions. Sea level rise can be forecasted by satellite imagery like ENVISAT, Topex/Poseidon, Jason-1 and Jason-2. This paper presents an approach to quantify the sea-level variations and sea level trend based on a combination of multi-mission satellite altimetry data over a period of 21 years (1993-2014). Monitoring of sea level rise was conducted by taking data from 6 stations. SLA was calculated using a typical moving average to reduce fluctuation. Sea level rise was calculated using a linear regression. Positive sea-level linear trends for the analysis period were estimated for sea level rise. The results showed that the range sea level rise reaching 4.80 mm/year to 5.61 mm/year has occured in Dumai. Dumai is predicted to have an additional sea level of 0.17-0.20 m by the year 2050, 0.41-0.48 m by the year 2100 and 0.65-0.76 m by the year 2150. The sea level rise trends in the North West part Dumai were higher than the other stations and down to South East. Based on the predicted results, Dumai should prepare plans to mitigate the rising of sea levels.","PeriodicalId":30789,"journal":{"name":"Geoplanning Journal of Geomatics and Planning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14710/GEOPLANNING.4.1.75-82","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45045889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}