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Academic literature on the topic 'Industrial location. Land. Industrial location Land use Industries'
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Journal articles on the topic "Industrial location. Land. Industrial location Land use Industries"
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Haque, Md Nazmul, Mizbah Ahmed Sresto, and Sharmin Siddika. "Suitable Locations for Industrial Setup in Urban Context: Way Forward To Meet the SDGs for Khulna City, Bangladesh." International Journal of Built Environment and Sustainability 8, no. 2 (2021): 89–102. http://dx.doi.org/10.11113/ijbes.v8.n2.679.
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Industrial Site selection is one of the rudimentary decisions to expand or relocate any business start-up process. This paper aimed at finding suitable location for possible industrial site as per reaching the SDGs taking Khulna City as a case. For instance, the targeted SDGs Goal 9: Resilient Infrastructure, Sustainable Industrialization and Innovation. The research also focused on the existing locations of the industries in the Khulna city and filled the gap to propose the new locations. To achieve this, a three-stage method have been adopted. At first, the existing industries were categorized on the basis of basic/non-basic, small/large scale, input/output characteristics in geo-spatial environment. Location Quotient (LQ) technique was applied to detect basic, non-basic industries and industrial zone. Then, Analytic Hierarchy Process (AHP) was conducted to define weights of important criterion such as temperature, slope, water body, land use, city center, connectivity and structures. The calculation of Consistency Ratio (CR<0.1) showed rational consistency of the factors. Finally, Multi Criteria Decision Analysis (MCDA) was adopted in GIS platform to address the suitable locations. The analysis shows 10% of the total KCC area is suitable for constructing industrial zones. According to the results most of the suitable land was found in the eastern side and a few suitable lands was found in the upper western part of the map. Another findings state that, 5% change in vacant land can increase this percentage to 17% which eventually escalates sustainability, resilience and locational advantages. In addition, the study assesses the land use change in Khulna City Corporation for recent years which have potential for industrial establishment through land suitability analysis (LSA) to emphasize both land use and industries with sustainable development
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Burnell, James D. "Industrial Land Use, Externalities, and Residential Location." Urban Studies 22, no. 5 (1985): 399–408. http://dx.doi.org/10.1080/00420988520080711.
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Adiyaksa, Fitrian, and Prijono Nugroho Djojomartono, Ph.D. "Evaluasi Alih Fungsi Lahan Pertanian Menjadi Lahan Industri di Kabupaten Kendal Tahun 2014 - 2018." JGISE: Journal of Geospatial Information Science and Engineering 3, no. 1 (2020): 71. http://dx.doi.org/10.22146/jgise.55519.
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Kendal Regency is an agrarian area with a percentage of agricultural land 54.57% of the total land area of 1,002.23 km2. With the government programs of construction of the Kendal Industrial Park (Kendal Industrial Park) which was built on an area of 2,700 hectares. Most of the land used for development of the Kendal Industrial Area is agricultural land. The purpose of this study was evaluated about the suitability of land use change from agricultural land into industrial land in Kendal Regency in period of 2014 to 2018 with the Kendal Regency Regional Spatial Plan in 2011 - 2031. The research method was quantitative. The method of data collection in this study was census about industry location permit and land use change permit in Kendal Regency from 2014 to.d. 2018. The data collection technique in this research was documents review about secondary data from related institutions. Data analysis techniques in this study were divided into spatial analysis and statistical analysis. The spatial analysis technique used Geographic Information System (GIS) concept, and used overlay method on digital maps. Statistical analysis used to produce information in tables and graphs. The results of this study indicate about the growth in period 2014 to 2018, the number of land use permits increase to 134 permits devide by 34 industry location permit with covering area about 732,792 m2 and 100 land use change permit with covering area equal 690,303 m2. In addition, about 91.18% of industrial location permits and 62% of land use change permits from agriculture into industries in accordance with the Kendal Regional Spatial Plan between 2011 to 2031.
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Chakravorty, Sanjoy, Jun Koo, and Somik V. Lall. "Do Localization Economies Matter in Cluster Formation? Questioning the Conventional Wisdom with Data from Indian Metropolises." Environment and Planning A: Economy and Space 37, no. 2 (2005): 331–53. http://dx.doi.org/10.1068/a373.
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The large and growing literature on industrial clustering suggests that firms seek locations that provide localization economies (benefits from having common buyers and suppliers, a specialized or skilled labor pool, and informal knowledge transfers). This study of manufacturing industry clusters in three Indian metropolises suggests instead that industry location decisions are guided by market imperfections, specifically rigidities in the land market caused by state action (segregationist or environmental policies, the absence of exit policies, and activist industrial promotion policies). For the investigation the authors use geographically disaggregated industry location and size data from Mumbai, Kolkata, and Chennai, to analyze eight industrial sectors (food and beverages, textiles, leather, printing and publishing, chemicals, metals, machinery, and electrical and electronics). The authors test for evidence of global and local clustering and distinguish between and test for coclustering and colocation of industries. The results are indicative rather than absolute and suggest that for location decisions general urbanization economies are more important than are localization economies.
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Roost, Frank, and Elisabeth Jeckel. "Post-Fordist Production and Urban Industrial Land Use Patterns." Urban Planning 6, no. 3 (2021): 321–33. http://dx.doi.org/10.17645/up.v6i3.4272.
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Economic restructuring of the 21st century is changing the production methods and location requirements of most industries. Mass production on the outskirts of cities, as was common in 20th century Fordism, is largely being replaced by an economic model characterised by a multitude of networked small and medium-sized production sites as well as logistics facilities. In this article, we want to examine if this also creates the opportunity to combine some of the smaller industrial areas with the city as a whole and to initiate a transformation of these areas in favour of redensification and mixed use. Examining the case of Kassel, Germany, we take a closer look at the transformation processes from Fordism to post-Fordism and the possibilities for a smarter land use. In this largely industrially shaped region, younger companies such as the solar panel producer SMA are using new approaches in terms of urban planning and land use by building their low emission-factories on greyfields in an urban environment rather than on suburban greenfields. In our article, we survey selected industrial areas in Kassel and discuss their recent change as part of a broader development from Fordism to post-Fordism. Firstly, the study contains a theoretical discussion of commercial and industrial land-use patterns in both socio-economic models. Subsequently, an on-site analysis is carried out to determine the extent to which both economic models have influenced the use and shape of industrial areas in Kassel. Based on this analysis, we finally show criteria for how urban planning can help to ensure that this change is combined with an improvement in the spatial and design quality of the industrial areas and is meaningfully integrated into the sustainable development of the city region.
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Yang, Shengfu, Shougeng Hu, Weidong Li, Chuanrong Zhang, and Dongdong Song. "Spatio-Temporal Nonstationary Effects of Impact Factors on Industrial Land Price in Industrializing Cities of China." Sustainability 12, no. 7 (2020): 2792. http://dx.doi.org/10.3390/su12072792.
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Industrialization has brought about great differences in industrial development and land use demand among different regions and cities, especially in rapidly industrializing countries with a vast territory. In those areas, implementing local-specific policies on industrial land price is of great significance to improve industrial land use efficiency and facilitate the sustainable development of regional economy. Based on the land pricing monition files of 105 industrializing cities, geographically weighted regression (GWR) was applied to detect the spatial variation of the industrial land price and its main impact factors (for example, tax, leased land, population, and location quotient index) in China in 2009, 2011 and 2014. The results show that the relationships were generally spatio-temporally nonstationary. More specifically, while the effect of tax on industrial land price was significantly positive and spatially stable all over China in 2009, the effect varied spatially in the two later studied years, weakened in North and East China and strengthened in South China. The effect of leased land on industrial land price was generally negative; it was very weak in 2009 and 2011 but became negatively strong in most studied cities in 2014, except for a few cities in Middle China. Population had a significant positive effect on industrial land price in the cities of East and Northeast China. For the three studied years, the location quotient index always had negative effect in Bohai Economic Rim and positive effect in Yangtze River Delta Economic Zone, and the negative effect strengthened with time. Meanwhile, the underlying reasons behind the relationships were further analyzed, showing that the spatio-temporal changes of industrial land price are closely correlated with the population mobility, industrial agglomeration, government intervention and economic situation.
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Chumaidiyah, Endang, Mouli De Rizka Dewantoro, and Anton Abdulbasah Kamil. "Design of a Participatory Web-Based Geographic Information System for Determining Industrial Zones." Applied Computational Intelligence and Soft Computing 2021 (March 5, 2021): 1–10. http://dx.doi.org/10.1155/2021/6665959.
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Different types of site selection exploited by geographic information systems (GIS) by combining various types of data relate to the purpose of site selection. In reality, numerous factors including physical, environmental, and social factors affect the site selection in terms of deciding the location of a new industry. Accordingly, this paper conceives systems for determining new industrial zones in the form of web-based applications or ordinarily called web-based GIS. Thus, the application named the potential industrial zone smart systems, in which the prototype of the application is able to facilitate planning the determination of new industrial zone based on six parameters throughout the analytical hierarchy process method. The result weights of six criteria are soil type 35%, land use 32%, land slope 15%, the distance of land to river 9%, the distance of land from road and accessibility 5%, and the distance of land to public facilities 4%. Additionally, the web-based GIS is a user-friendly application to determine the planned industrial location. Further, the demonstration runs effortlessly in exhibiting data on the potential of new industrial zones in the city of Bekasi, West Java Province of Indonesia.
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Li, Chenxi, Xing Gao, Bao-Jie He, Jingyao Wu, and Kening Wu. "Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China." Sustainability 11, no. 5 (2019): 1446. http://dx.doi.org/10.3390/su11051446.
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The implementation of the Beijing, Tianjin, and Hebei coordinated development strategy has seriously increased the influence of land use and urban traffic. Thus, understanding the coordination between urban land and transportation systems is important for the efficient and sustainable development of cities, especially in this rapidly urbanizing era. Urban–industrial land and highway networks are, respectively, primary types of urban land and transportation systems, and have significant impacts on social and economic development. However, limited studies have been conducted to examine the relationships between urban–industrial land and highway networks. Therefore, this paper aims to examine the coupling coordination relationship between urban–industrial land use efficiency, and the accessibility of the highway networks of cities. Specifically, in the context of the Beijing–Tianjin–Hebei (BTH) urban agglomeration, the coupling coordination between urban-industrial land use efficiency and accessibility of the highway traffic network was empirically analyzed. The results show that: (i) The differences in urban-industrial land use efficiency in the BTH region are significant. Capital cities in the BTH urban agglomeration have higher economic, social, and comprehensive efficiency, while in industrial cities, the use of urban–industrial land should prioritize ecological and environmental issues. (ii) Because of its good geographical location Beijing has the best accessibility, with an accessibility index of 1.416, while Qinhuangdao had the lowest accessibility index of 0.039. (iii) In most BTH cities, the urban-industrial comprehensive land use level has fallen behind the highway network development level. The results of this study can provide references for the coordinated development of the BTH urban agglomeration.
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Le, Ha Thu Thi, Long Van Hoang, and Trung Van Nguyen. "Object-oriented classification for land cover of North Thang Long Industrial area using Worldview-2 data." Journal of Mining and Earth Sciences 62, no. 1 (2021): 10–18. http://dx.doi.org/10.46326/jmes.2021.62(1).02.
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Land cover/land use classification using high spatial resolution remote sensing data has the biggest challenge is how to distinguish object classes from different spectral values based on structures, shapes, and spatial elements. This paper focuses on the object-oriented classification method to extract artificial surface at industrial area by Worldview-2 data with a spatial resolution of 1.8 m. Extraction of 05 types of land cover/land use using object-oriented classification method based on reflectance spectral characteristics, shape index, location of objects, brightness, NDVI index, and density objects are archive efficiency to the quality of classification results. The overall accuracy of classification result for land cover/land use of Thang Long industrial area is about 0.85 and Kappa index is about 0.81.
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Pavlova, Liya, and Artem Belov. "Creation of new jobs and creativity of the urban space." Real estate: economics, management, no. 2 (June 24, 2021): 39–46. http://dx.doi.org/10.22337/2073-8412-2021-2-39-46.
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Over the last decades industries, that affect human capital development, have stepped into the spotlight. Engineering companies, creative and service enterprises have assumed a crucial role in the urban economy and its potential. As for large urban agglomerations, new forms of production and creative class mobilization represent the key objectives due to the reduction or liquidation of the majority of industrial urban enterprises.
 Urban planning as a science is responsive to economic changes. The paradigm of functional zoning has been replaced by theories based on land use intensity, business and cultural activities of population. Hence, the idea is to ensure the polyfunctional operation of industrial, high-tech research companies in residential areas and to relocate housing to areas occupied by old industrial enterprises.
 In this work, the co-authors analyze the phenomenon of the location value in a modern city, regularities that govern the choice of locations for new enterprises; they also suggest approaches to the zoning of urban areas depending on their potential ability to develop new types of industrial production.