Introduction: City Planning and New Technology

New Frontiers in Regional Science: Asian Perspectives - Frontiers of Real Estate Science in Japan ◽

10.1007/978-981-15-8848-8_17 ◽

2021 ◽

pp. 261-265

Author(s):

Yasushi Asami

Keyword(s):

Land Use ◽

Deep Learning ◽

Real Estate ◽

City Planning ◽

New Technology ◽

View Factor ◽

Residential Areas ◽

Related Services ◽

Sky View Factor ◽

Link Type

AbstractIn Part III, titled “City Planning and New Technology,” we discuss two topics, namely, compact cities and real estate technology in Japan.Promotion of compact cities is regarded as a high priority issue in urban policies in the era of population decrease. The Act on Special Measures concerning Urban Reconstruction in 2014 was revised to institutionalize the framework for the Location Normalization Plan, a plan for local governments to build compact cities to manage population decline and aging urban infrastructure while placing less burden on environment. Three chapters are devoted to issues related to this movement. In Chap. 10.1007/978-981-15-8848-8_18, Ishikawa (2020) discusses how urban functions can be guided by residents’ perspectives. To build a compact city, various day-to-day services must be placed proximal to residential areas; however, some services must be placed at a certain distance from residences because of land use restrictions. Therefore, we must determine the uses allowed in residential areas. In Chap. 10.1007/978-981-15-8848-8_19, Morimoto (2020) discusses the history of major contributions made by the development of transportation facilities to urban spread, the important role of traffic facilities to guide land use toward desirable purposes, and impact of self-driving vehicles on land use. In Chap. 10.1007/978-981-15-8848-8_20, Ogushi (2020) explains how the Location Normalization Plan in Niigata City was formed in detail.Real estate technology refers to real estate business-related services that use new technology. Several new services based on new technology have been introduced in the field of real estate in Japan. Three chapters are devoted to issues related to real estate technology. In Chap. 10.1007/978-981-15-8848-8_21, Narimoto (2020) explains the outline of real estate technology services in Japan and identifies legal problems associated with handling of information. In Chap. 10.1007/978-981-15-8848-8_22, Nishio and Ito (2020) report on creating a sky view factor calculating system that uses Google Street View. Sky view factor is a term that refers to a configuration factor for the amount of sky in a hypothetical hemisphere. In Chap. 10.1007/978-981-15-8848-8_23, Kiyota (2020) explains the transition of neural network research and characteristics of deep learning and introduces a system that detects category inconsistencies in real estate property photographs submitted by real estate companies by using deep learning and a system that detects indexes associated with ease of living based on property photographs.

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Impact of rail system investments on estate taxes and evaluation of spatial change potential: example of Kazlicesme-Sogutlucesme Metro RouteRaylı sistem yatırımlarının emlak vergilerine etkisi ve mekânsal değişim potansiyellerinin değerlendirilmesi: Kazlıçeşme–Söğütlüçeşme Metro Hattı örneği

Journal of Human Sciences ◽

10.14687/jhs.v15i4.5524 ◽

2018 ◽

Vol 15 (4) ◽

pp. 2029

Author(s):

Gorkem Gulhan

Keyword(s):

Land Use ◽

Real Estate ◽

Public Transportation ◽

Urban Areas ◽

Planning Process ◽

Linear Increase ◽

English Summary ◽

Residential Areas ◽

Transport Costs ◽

Rail System

The rail system generates an increase in accessibility by reducing transport costs and travel times. It also has an economically positive return to urban areas for public transport investments. Such public transportation investments; it is important for the planning process to know the effects of changes in land use, income, employment, intensity and monetary values. In this study, for the "Kazlıçeşme - Söğütlüçeşme Subway Line (1st Stage)", taxable gains for the years 2022-2038 are explained and linear increase rates are found. Areas with potential for real estate investment and transformation around the stations were examined and the exchange potentials and land use possibilities of residential areas were investigated. According to the findings of the study, the increase in real estate tax will reach up to four times; at the same time it was determined that there would be an increase in land-use attraction in the recreation, commercial and residential etc. areas around 14 stations.Extended English summary is in the end of Full Text PDF (TURKISH) file. ÖzetRaylı sistem toplu taşıma yatırımlarının kentsel alanlara ekonomik açıdan pozitif getirileri olmakla birlikte, ulaşım maliyetlerinin ve seyahat zamanlarının azalmasını sağlayarak erişilebilirlik artışı oluşturmaktadır. Bu tür kamu ulaşım yatırımlarının; arazi kullanım, gelir, istihdam, yoğunluk ve parasal değerlerde meydana gelen değişimler açısından etkilerinin bilinmesi planlama süreci için önemlidir. Bu çalışmada, “Kazlıçeşme – Söğütlüçeşme Metro Hattı (1. Aşama)” için 2022-2038 yılları arası vergisel kazanımlar açıklanmış ve doğrusal artış oranları bulunmuştur. İstasyonların çevresindeki gayrimenkul yatırım ve dönüşüm potansiyeli bulunan alanlar incelenmiş ve konut alanlarının değişim potansiyelleri ile arazi kullanım olanakları araştırılmıştır.Çalışma bulgularına göre emlak vergisinin 2019 yılından 2022 yılına kadar 4 kata yakın artış yaşayacağı ve 14 istasyon çevresindeki rekreasyon, ticaret ve konut alanlarında arazi kullanım çekiciliği artışı doğacağı devamla potansiyel konut alanı, ticaret alanı, kentsel rekreasyon alanları ve ulaşım yatırımları önerileri oluşturulabileceği tespit edilmiştir.

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Capital Programming in Philadelphia: a Study of Long-Range Planning

American Political Science Review ◽

10.1017/s0003055400122610 ◽

1960 ◽

Vol 54 (3) ◽

pp. 659-668

Author(s):

William H. Brown ◽

Charles E. Gilbert

Keyword(s):

Land Use ◽

Long Range ◽

Land Use Planning ◽

City Planning ◽

Focal Point ◽

New Technology ◽

Capital Budgeting ◽

Planning Agency ◽

Long Range Planning ◽

The Impact

This paper results from a larger study of capital budgeting and programming in Philadelphia. Our intention here is to present some findings bearing upon the role of long-range planning primarily, though not exclusively, in metropolitan governments.Much, though surely not all, of city planning today is directly related to capital programming. This is especially so in large cities for at least three major reasons: basic physical plant and utilities are often run down or obsolescent for a complex of historical reasons; many routine programs are “capital-intensive” and are becoming more so under the impact of new technology and professional standards; and urban renewal has entailed an increasingly entrepreneurial approach to land-use planning. Capital programming itself is a process of separate budgetary decision on capital items, however defined. The rationale for the separate decision process values “planning” highly and emphasizes fiscal planning of outlay that is loan-financed and physical planning of projects distinguished by “lumpiness” and/or longevity. It follows from these considerations that the planning and programming of physical improvements cannot be sharply separated from the remainder of municipal policy. City planning as applied to capital programming has to do not only with land use but with most functional programs and with fiscal policy.While some long-range municipal planning will probably take place in the line departments, the focal point of planning is likely to be the review and assembly of the overall capital program, at which point fiscal, programmatic and land-use planning all come into play even if the principal competence and concern of the planning agency is in land-use planning. The planning agency can be conceived as performing any or all of the four roles of research, integration, allocation, and provision of the long view. While conceptually distinguishable, these roles tend to merge in the practice of capital program review.

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Economic aspects of land use in the Kyiv and suburban areas

Bioeconomics and agrarian business ◽

10.31548/bioeconomy2020.03.077 ◽

2021 ◽

Vol 11 (3) ◽

pp. 77-86

Author(s):

V.A. Nazarenko ◽

Keyword(s):

Land Use ◽

Economic Development ◽

Real Estate ◽

Land Use Planning ◽

Real World ◽

City Planning ◽

Positive Impact ◽

Analytical Data ◽

Scientific Model ◽

The City

In the article, the author has focused on analyzing the current state of land use by types of enterprises’ economic activity, regional economic and financial data to propose a new robust model for cost-effective land use planning for commercial and non-commercial enterprises. The research results can serve as an important material for the decision-making process on how to develop the land and the city areas in the context of new global economic development. It provides extensive overview of existing land use trends for Kyiv city based on analytical data and scientific assumptions. The author believes that this research will be beneficial for government organizations, local government authorities, international organizations, private institutions, and researchers. The goal of the research paper is to build a solid scientific model based on a general understanding of underlying economic challenges of efficient land use considering past data, short-term and long-term planning. The paper has an overview of city planning documentation and city statistical data in the context of real estate, urban population, economic data, including research of real estate and currency exchange rate data to median salary in Kyiv starting from the 2000s. It is important not to put too much focus on the existing models and systems, as they rely too much on the assumptions and complicated calculations that are hard to make use of in real-world planning. Instead, we build our research on real-world data and developed a forecast for the size of investment in land use, average real estate prices for the next 5 years. The paper noted an existing problem of inconsistency of the existing norms and regulations in Ukraine concerning rational and effective land use and planning, especially for local authorities and commercial organizations. The author substantiates why the economy in the context of urbanization needs a new look. The paper uses the planning of Kyiv city. It is a suitable example of a developing city, so the proposed model can be developed based on the city’s economic and land use data. This research can help solve the existing problems of urbanization in Ukraine and have a positive impact on the economic development of the city and the region.

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Landowner willingness to embed production agriculture and other land use options in residential areas of Chittenden County, VT

Landscape and Urban Planning ◽

10.1016/j.landurbplan.2011.07.009 ◽

2011 ◽

Vol 103 (2) ◽

pp. 174-184 ◽

Cited By ~ 13

Author(s):

Daniel L. Erickson ◽

Sarah Taylor Lovell ◽

V. Ernesto Méndez

Keyword(s):

Land Use ◽

Residential Areas ◽

Production Agriculture

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Smart paddy field monitoring system using deep learning and IoT

Concurrent Engineering ◽

10.1177/1063293x21988944 ◽

2021 ◽

pp. 1063293X2198894

Author(s):

Prabira Kumar Sethy ◽

Santi Kumari Behera ◽

Nithiyakanthan Kannan ◽

Sridevi Narayanan ◽

Chanki Pandey

Keyword(s):

Feature Extraction ◽

Deep Learning ◽

Transfer Learning ◽

Paddy Field ◽

New Technology ◽

Support Vector ◽

Nitrogen Status ◽

Deep Feature ◽

Per Capita ◽

Deep Feature Extraction

Paddy is an essential nutrient worldwide. Rice gives 21% of worldwide human per capita energy and 15% of per capita protein. Asia represented 60% of the worldwide populace, about 92% of the world’s rice creation, and 90% of worldwide rice utilization. With the increase in population, the demand for rice is increased. So, the productivity of farming is needed to be enhanced by introducing new technology. Deep learning and IoT are hot topics for research in various fields. This paper suggested a setup comprising deep learning and IoT for monitoring of paddy field remotely. The vgg16 pre-trained network is considered for the identification of paddy leaf diseases and nitrogen status estimation. Here, two strategies are carried out to identify images: transfer learning and deep feature extraction. The deep feature extraction approach is combined with a support vector machine (SVM) to classify images. The transfer learning approach of vgg16 for identifying four types of leaf diseases and prediction of nitrogen status results in 79.86% and 84.88% accuracy. Again, the deep features of Vgg16 and SVM results for identifying four types of leaf diseases and prediction of nitrogen status have achieved an accuracy of 97.31% and 99.02%, respectively. Besides, a framework is suggested for monitoring of paddy field remotely based on IoT and deep learning. The suggested prototype’s superiority is that it controls temperature and humidity like the state-of-the-art and can monitor the additional two aspects, such as detecting nitrogen status and diseases.

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