Geographic Information System (GIS)
Zhila Yaghoubi; Ali Asghar Alesheikh; Omid Reza Abbasi
Abstract
Extended AbstractIntroductionSelecting a suitable place for a new retail store is a very important decision since new shops cost a lot and new retailers puts themselves at financial risk. Physical location of stores affects the consumer's perception of their first purchase and their subsequent loyalty ...
Read More
Extended AbstractIntroductionSelecting a suitable place for a new retail store is a very important decision since new shops cost a lot and new retailers puts themselves at financial risk. Physical location of stores affects the consumer's perception of their first purchase and their subsequent loyalty to the store. Therefore, spatial analysis is very important for retail stores. Site selection for retail stores has always been difficult and the current competitive market has made decision making even more difficult since stores face increased competition and consumers have many options to satisfy their needs. They generally choose a suitable store in their vicinity which provides high quality, cheap, and diverse products. Therefore, markets and especially retailers shall follow an accurate and valid location strategy for new stores. Retail stores have various marketing and customer service strategies. Marketing strategies require a lot of information about different aspects such as customers, shops, competitors, and products. Many marketing strategies only provide information about consumer behavior or customer satisfaction. However, spatial aspects are more important and in fact determine future success of a store. Several methods are used for spatial analysis in retail sector. The present study use a multiplicative interaction model to forecast sales of confectionaries. This can help retailers develop strategies and find an optimal location for their new stores. Materials & MethodsThe present study has developed a location-based marketing model for online confectioneries in Tehran which can improve site selection strategies of new confectioneries. This marketing model is based on the multiplicative competitive interaction model (MCI) of the retail location theory. To do so, characteristics attracting customers to confectioneries are determined and related data are collected from the Snappfood online platform through web crawling. ArcMap software is then used to analyze and process the collected data. After data normalization, MCI model is implemented using Python programming language. The model is then calibrated using 80% of the collected data and the ordinary least squares (OLS) method. The model is then evaluated using root mean square error (RMSE) method and the remaining data. Results and DiscussionMean errors obtained for districts number 1 to 22 of Tehran municipality show high accuracy of the model. Snappfood site lacked any information about districts number 9 and 18 and thus these districts were not considered in the calculations. Depending on the available data, other districts showed different levels of accuracy. Results indicate that district number 22 had the lowest level of accuracy and district 17 had the highest level of accuracy. In general, this model predicts customer behavior with an error rate of 17.03%. Results of the present study show the probability of purchasing from each confectionery which can be used to map market potential for a new store. This map determines the best place with maximum sale and helps in site selection for new stores based on specific features of the store, competitors and the environment. ConclusionsMCI model predicts sales. From a geomarketing perspective, this model shows that distance between customers and the store and accessibility affect location strategies in new stores. Variables such as pricing and customer satisfaction (scoring) are used to improve the goodness-of- fit of the model. This precise method identifies some key factors to success in a retail strategy. It predicts the probability of purchasing in each district, the number of customers in each store, and distribution of customers in each district. Experts and new retailers can use the results to design various location and sales strategies. Using this model, new retailers in confectionary market can accurately predict their sales before even opening the store and thus protect themselves against possible financial losses. Moreover, this model predicts total sales of different stores and help retailers compare their market shares with those of their competitors. They also can enter features of a new store into the model and find several potential sales strategies. In other words, the model helps determine sales of existing and new shops. In this way, retailers can find an optimum location for their new confectioneries based on the principles of geomarketing.
mahdieh soltani Gerdfaramarzy; gholamali mozafari; Shahab Shafie
Abstract
Extended Abstract Introduction Droughts are one of the most common climatic changes that occur in many arid and semi-arid regions of the world with high intensities every few years. In many years, the occurrence of droughts is also unknown for a while, therefore, the identification of drought itself, ...
Read More
Extended Abstract Introduction Droughts are one of the most common climatic changes that occur in many arid and semi-arid regions of the world with high intensities every few years. In many years, the occurrence of droughts is also unknown for a while, therefore, the identification of drought itself, is considered as a valuable finding for managing the water resources in areas such as Iran, most of which are formed by arid and semi-arid regions. Precipitation is the most important determinant variable in drought conditions among climatic variables. Rainfall is the most important variable whose variations are directly reflected in soil moisture and surface runoff, variations in underground water reservoirs and others. The purpose of this research is to investigate the best method of drought interpolation in the Yazd-Ardakan plain, to identify areas at risk of this phenomenon and to identify its spatial distribution, and also to investigate the relationship between drought and the salinity of groundwater and the spatial distribution of saline water in the Great Plain of Yazd – Ardakan. Materials & Methods In this research, regarding the lack of long-term statistical period of some stations and considering the distribution of stations in this basin, the annual precipitation data of meteorological stations of Yazd - Ardakan plain during 2 long term period of 7 meteorological stations (1346-1391), and short term precipitation and salinity period of 41 meteorological stations and 47 underground water wells (1375 to 1391) have been used all together. The standardized drought index for the determining drought condition and descriptive statistics methods in SPSS software has been used to describe the state of groundwater salinity using Excel software. The Pearson, Man-Kendhal, and Spearman correlation analyses were also used to determine the relationship between drought and the state of salinity of groundwater. Finally, the Geographic Information System (GIS) was also used to map the zoning of groundwater salinity. Results & Discussion The results of the assessment showed that in the correlation analysis with all 3 Pearson, Man-Kendhal, and Spearman statistics, a negative trend along with inverse correlation is observed between the precipitation (SPI) and salinity based on the Z grade,, in none of which the significant level is observed. The existence of a strong correlation between these two parameters with a one year delay was among the other results of this research. Using GS+ and GIS, the best variogram model was selected and the maps of drought, groundwater salinity and salinity variations were also drawn. Generally, in most stations with negative precipitation trend, a positive trend of underground water salinity is observed, and groundwater quality has also changed more strongly in areas with more drought outbreak and its salinity has also increased. Conclusion The occurrence of droughts, on the one hand, increasing water demand in the area, on the other hand, exacerbate the shortage and need for water. Therefore, the monitoring of future droughts and wet years should be considered very important in terms of management strategies of the region. Passing such crises require the efficient management of water resources under present conditions, especially during drought periods. Usually, during such a period, the region’s water shortage, are provided from the groundwater resources and through increasing the water extraction from wells, to meet basic needs such as drinking. Therefore, in such cases, the quality issue of the extracted water from these wells becomes more important. The available statistics show that the water quality in the Yazd-Ardakan plain (electrical conductivity) is a function of annual precipitation (as the most important feature of droughts in the region), and with the annual precipitation increasing and decreasing, the groundwater quality also undergoes changes. In general, the results of the analysis of the studied parameters indicated that the climate of Yazd-Ardakan plain was associated with a rainfall reduction trend, which is one of the important factors of drought, so that, its consequences have also affected the level and quality of water resources. It has been observed in this research, that droughts have had a considerable effect on the salinity of groundwater in most of the areas. Therefore, it is generally stated that the groundwater quality has changed more strongly in areas with more drought outbreaks and its salinity has increased.
Zeynab Aliabadi; Mahid Nastaran; Farzane Pirani; Farzane Sheikhzade
Abstract
Extended Abstract Introduction The deployment of every urban element in the position of the body - a particular area of the city - is subjected to certain principles, rules and procedures that, if followed, will ensure the success and effectiveness of thatelement in the same place, otherwise there will ...
Read More
Extended Abstract Introduction The deployment of every urban element in the position of the body - a particular area of the city - is subjected to certain principles, rules and procedures that, if followed, will ensure the success and effectiveness of thatelement in the same place, otherwise there will be many problems with the occurrence it does.Therefore, achieving equilibrium in the spatial distribution of resources and services is the main goal of the planners. Considering the importance of locating and its position in various projects, the importance of the location of the fire stations and the direct impact on its model and performance will be determined. Provision of fire station services requires their proper location in order to distribute them appropriately to minimize their financial losses.Locating fire stations and determining the number and location of stations guarantee the safety of citizens in the event of any incident. Due to the high importance of the 3rd district of Isfahan among other areas of the city, attentionto safety issues in this context is urgently needed. The 3rd district of Isfahan is the heart of the city which has an ancient heritage. One of the important issues facing urban management is the timely delivery of firefighting during a fire.There was no responsive station in this area. Thus, the need to address the problem of locating and distributing fire stations is of great importance in urban planning. Therefore, the choice of optimal location and appropriate distribution of fire stations will bethe overall goal of this study to increase the safety level. Materials & Methods The present research is a descriptive-analytic research in terms of purpose, and an applied research in terms of the nature and method of the study. Part of the theoretical information was collected through library studies, the use of documents, records and reports. To understand the scope, the studies conducted by the consultant as well as field observations and observations have been used. In the analysis section, using Analytic Hierarchy Process (AHP) and geospatial mappingmodel. In this study, at first, the criteria and the sub criteria for determining the location of the fire station were weighed by the Analytic Hierarchy Process (AHP) using Expert Choice software, and then, by digitizing the layers in the GIS, eachmap layer was produced for each of the criteria, and then the layers were overlapped by applying the weights of each layer, and the fire station's optimal locations are proposed. Results & Discussion Among the urban facilities, the construction of fire centers in the area due to the deployment of the old, historical and living Qaiseriyah market, and the lack of emergency exit routes and relief during the fire, as well as the existence of workshops and warehouses connected to the market, it is also important that it should be added to the consequences of other incidents. Therefore, this study was aimed at increasing the level of safety by locating fire stations in Isfahan's region 3using AHP and location model in GIS environment. After normalizing the maps with the Reclassifying tool, and according to the categories at this stage with the Raster Calculator tool, the sum of all generated layers multiplies the values for each layer obtained from AHP andmaps of the proposed locations for Fire station was created. Based on the final map (Figure 19), the most suitable optimal points for the fire station were selected based on the criteria analysis. These points of choice have the proper features, including proximity to access level 2, abandoned land, an area of 1500 square meters up, construction density and high population density in the periphery. According to (Fig. 19), three-point distances were investigated using the Euclidean Distance tool. On the other hand, according to the existing standard, for every 50,000 people we need to build a fire station; therefore, in addition to a fire station in the area, it is necessary to deploy another station. Finally, according to the aforementioned maps, by examining the intervals between the existing and proposed fire stations, the final map (Fig. 20) is based on the noninterference of the functional radii of 1200 meters of stations relative to each other; the third point was deployed as the optimal and the most common location of the firestation. Conclusion By studying the present situation and field observations of the fire stations in Isfahan's region 3, it has only one center, and according to the volume of utilizations and activities of importance in the region as well as theheight of the region with historic monuments at national and international levels, the issue of safety in the context of this region is very important. Therefore, based on the population and region level, the existing fire station does not cover the possibility of service within a 3-5 minute interval throughout the entire area. Considering that the area has organic and intact texture. Based on field observations and existing standards, residents need urban equipment, including fire stations. Therefore, the purpose of this study was to locate another fire station based on the region's requirements, standards and indicators. Therefore, effective measures in area 3 including demographic density, availability, consistent use, functional radius, building quality, size of parts, construction density, and user-friendliness were considered. Eventually, considering the 1200 meter radius, the location of the optimal fire station was proposed on Neshat Street.
Sedighe Kianisalmi; Seyyed Hojjat Musavi; Parisah Yeganeh Dastgerdi
Abstract
1- Introduction
One-sided, unbalanced and unplanned development of cities, population and activity in the area, has left a great deal of the country's capacity useless, and has imposed a lot of problems on planners at different levels (ahmadi et.al,1389: 94). In order to achieve sustainable development, ...
Read More
1- Introduction
One-sided, unbalanced and unplanned development of cities, population and activity in the area, has left a great deal of the country's capacity useless, and has imposed a lot of problems on planners at different levels (ahmadi et.al,1389: 94). In order to achieve sustainable development, describing and assessment of the state of the environment and resources is necessary before any planning (movahhed, 1385: 11). Tourism, especially ecotourism is also no exception. Ecological potential assessment of tourism areas to use have been identified as a tool to achieve sustainable development (jowzi et al. 1388:71). In order to achieve sustainable development, land planning is essential and the infrastructure of this planning is environmental assessment, ecological potential assessment, measurement and potential of land with clear and pre-planned criteria. In this regard, from the 1960s, the geographic information system was established with a tangible progress in the spatial planning of land use to accelerate the development of various methods for determination of land ability for different uses.
In this study we have tried to define ecotourism potential, using assessment of Environmental Ecological potential in Chaharmahal and Bakhtiari Province to provide a dynamic setting for the development of the region. Therefore, because of an abundance of natural attractions such as wetlands, lakes, waterfalls, springs, rivers, mountains and peaks, caves, plains and forests, as well as historical- cultural attractions, such as bridges, villages and castles, there is a great potential to attract many visitors. In this study,it is attempted that with the use of GIS and ecological potential assessment model for establishment of tourism in the region, the potential can be investigated. The necessity and importance of this research is the factthat despite the unique characteristics of the province, especially in terms of nature, which can play a more active role in the economic, social and cultural area, and despite these diverse and valuable attractions, unfortunately less attention has been paid to this attractions so with a good planning and suitable using of available resources, the region can be developed sustainably.
2- Material and Methods
In Makhdoom systemic approach, ecological tourism model is provided for intensive and extensive outing (firoozi et al, 1392: 159). At this stage, by using collected data in the phases of analysis and conclusions in the environmental units with ecological models built for the user, the most appropriate activities are selected. Based on the results of investigations in Iran and the countries that are ecologically similar to Iran, a set of ecological models have been produced inIran which can be compared and measure ecological information about the model and determine the type of actions which should be taken. The model was used to determine the usages of the ecological models of agriculture - pasture, forestry, rural-, urban-industrial development, ecotourism, intensive tourism and aquaculture (Makhdoom, 1385: 185-212). This study seeks to find areas suitable for ecotourism (suitable Class A, suitable Class B and inappropriate). Therefore, suitable areas for loading the proposed activities appropriate to the potential of the region's stability have been identified, taking into account variables such as slope, rock and soil, aspect, water, plants, climate and weather and also preparation of needed maps.
3-Result and Discussion
In order to determine the ecological potential for ecotourism development in Chaharmahal and Bakhtiari Province, according to the preference of parameters in terms of importance in Makhdoom model (makhdoom, 1380: 203), first, slope map was developed in 9 classes using digital elevation model map and using the capabilities of ArcGIS. In the next stage, soil and rock condition was evaluated and the map was prepared. After determining the soil groups in the province, suitable areas for ecotourism class A, with suitable soil which is placed in Inceptisoils category, was separated. Climate is another factor considered in the assessment of ecological potential. In this context, the average temperature in warm period in the provinceis calculated. Since proper temperature during warm period for extensive recreation class A is 21-25 degrees Celsius, this feature was introduced in the attribute table. The next parameter is the number of sunny days. For extensive recreation class A for spring and summer seasons, the number of sunny days have to be more than 15 days per month. The last parameter is water. For extensive recreation class A, water level must be 5-12 liters per person. Citing the fact that the province, in terms of water resources is rich and has good precipitation, water levels parameter in the province was considered desirable.
In the last stage, all obtained maps, are mutually overlaid and finally a map is obtained,in which all the necessary conditions for an extensive recreation class A are introduced and shows all the suitable areas for extensive tourism.
4-Conclusion
After overlaying Maps and finishing ecological potential assessment process, it was found that a rather wide region of the province is suitable for developing ecotourism. According to the calculations done, about 32.1961square kilometers of the province is found suitable for extensive recreation (class A), the city of LORDEGAN has the largest share of the relevant regions and the city of BOROUJEN has the lowest share, respectively.
Marzeyeh Mokarram; Ali Darvishi; Saeed Negahban
Abstract
Extended Abstract
Introduction
Watershed is an area of land that surface water of rain and melting snow conduct towards a single point, which is usually out of the basin. Check of watershed is one of the main strategies for integrated management of natural resources and sustainable development. Recently, ...
Read More
Extended Abstract
Introduction
Watershed is an area of land that surface water of rain and melting snow conduct towards a single point, which is usually out of the basin. Check of watershed is one of the main strategies for integrated management of natural resources and sustainable development. Recently, the availability of remote sensing (RS) data and Geographical information system (GIS) technologies has allowed for improved understanding of the morphometric properties and surface drainage characteristics of many watersheds in different parts of the world (Parveenet al., 2012; Nayar& Natarajan, 2013). For example, Shrimaliet al. (2001) presented a case study of the 42 km Sukhana lake catchment in the Shiwalik hills for the delineation and prioritization of soil erosion areas. In addition, Srinivasaet al. (2004) used GIS techniques for morphometric analysis of subwatersheds in the Pawagada area, Tumkur district, Karnataka. Nookaratnamet al. (2005) carried out a study on dam positioning through prioritization of microwatersheds using the sediment yield index (SYI) model and morphometric analysis. Khan et al. (2001), used RS and GIS techniques for watershed prioritization in the Guhiya basin and sub-watersheds in Odisha, India respectively.
Materials & Methods
The study area is one of the subwatersheds of the river of Urmia (Nazloochaei) that is located in North West of Iran with an area of 948.75 km2. The study area was selected for detailed morphometric analysis using Geography information system (GIS). The input data for morphometric analysis was DEM with resolution of 30 m from ASTER satellite. The steps of stream extraction consist of:
1. Extraction of drainage networks from the DEM using the flow direction method, which consists of the following steps (O’Callaghan & Mark, 1984):
i. Fill Sinks: A sink is an uncompleted value lower than the values of its neighborhood. To ensure proper drainage mapping, these sinks were filled by increasing elevations of sink points to their lowest outflow point.
ii. Calculate Flow Direction: Using the filled DEM produced in Step1, the flow directions were calculated using the eight-direction flow model, which assigns flow from each grid cell to one of its eight adjacent cells in the direction with the steepest downward slope.
iii. Calculate Flow Accumulation: Using the output flow direction raster created in Step2, the number of upslope cells flowing to a location was computed.
iv. Define Stream Network: The next step is to determine a critical support area that defines the minimum drainage area that is required to initiate a channel using a threshold value.
v. Stream Segmentation: After the extraction of drainage networks, a unique value was given for each section of the network associated with a flow direction.
Morphometric analysis of the study area consist of:
Stream number (Nu)
Nu is number of segments in order U
Stream order (U)
Cumulative length of streams (L), L = ∑Nu, L is calculated as the number of streams in each order and total length of each order is computed at sub-watershed level (Horton, 1945).
Bifurcation ratio (Rb)
Rb=Nu/N (u+1) N (u+1) = Number of segments of the next higher order (Schumms, 1956),
Watershed relief (Bb), Bb = Hmax – Hmin, Bb is defined as the maximum vertical distance between the lowest and the highest points of a sub-watershed. Hmax and Hmin are maximum and minimum elevations respectively (Schumms, 1956)
Drainage density (Dd)
Dd=Lu/A, A=Watershed area (km2), L (u) is total stream length (Horton, 1932)
Stream frequency (Fs), Fs = Nu/A, Fs is computed as the ratio between the total number of streams and area of the watershed (Horton, 1932)
Form factor (Rf)
Rf =A/Lb2, Rf is computed as the ratio between the watershed area and square of the watershed length. 𝐿 is the watershed length (Horton, 1932)
Circularity ratio (Rc)
Rc= 4π*A/P2, P is the watershed perimeter (km)
Elongation ratio (Re)
Re= (2/Lb)*(A/π) 0.5
Results and discussion
The results showed that according to the high number of streams (489 waterways), the existence of first, second and third degree streams, the high length of the streams, the high proportion of length of the streams in relation to the basin area, high coefficient of relief which indicates high elevations and slopes, the area is erodible and requires more management. Also, Landform studies in the studied area showed that with the help of morphometric characteristics, the sensitivity of landforms to erosion can be determined in the area. So, after the mapping of landforms using topographic position index (TPI), and considering the erosion-sensitive areas through morphometric characteristics, erosion-sensitive landforms in the study area were determined, So that the increase in the number of waterways and their length in the watershed indicates an increase in erosion. Comparing the map of the landforms and the map of the streams in the studied area, it was determined that class 4 (U-shaped valleys) and class III (high drainage) landforms have the highest erodibility. The results showed that, with increasing drainage density, the erodibility increases and the highest erodibility was observed in Class 4 (U-shaped valleys) and Class 6 landforms due to the high drainage density.
Conclusion
Ridge landforms such as those in high altitude (landforms in class 9 and 10), had the highest erosion and were therefore the most sensitive landforms. The drainage density features as the most important factor for determination of erosion and its relation to landforms were used. The results showed that by increasing the amount of drainage density the erosion increases which were for landforms Class 4 and Class 6. This study has demonstrated that morphometric characteristics can be used to predict other watershed characteristics.
