Downtown redevelopment and land-use regulation: Can planning policies discipline property development?

Charney, Igal

doi:10.1016/j.landusepol.2015.04.019

Cited by 9 publications

(4 citation statements)

References 36 publications

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“…Although economic crises are unavoidable, the opinion here is that rational decision making in real estate development makes it possible to diminish the losses. Many models and methods for the analysis of real estate development and their components have been developed worldwide: -Linear models of the real estate development process (Medalen, 2004;Miles, 2007;Røsnes & Kristoffersen, 2009); -Iterative real estate project models (Olsson, Sørensen, & Leikvam, 2015); -Seven stages real estate development process model (Kohlhepp, 2012); -New Keynesian dynamic stochastic general equilibrium model on China's housing market fluctuations (Wen & He, 2015); -A sub-regional model of housing markets in England (Bramley & Watkins, 2016); -The recreational complex real estate sustainability assessment model allowing assessment of the aspects of sustainable construction (environmental, economic and social) (Raslanas et al, 2016); -Typology-based approach model for estimation of the energy performance certificate of a housing stock characterized via qualitative variables (Florio & Teissier, 2015); -Mixed-methods evaluation of a short-term housing support program for homeless families (Meschede & Chaganti, 2015); -Method and model for early-warning and forecasting of real estate development (Huang et al, 2015); -Model for optimization of construction contracting in housing development project (Ngowtanasuwan, 2013); -Model of conflict resolution (Wang, Kilgour, & Hipel, 2015); -Risk evaluation model for real estate projects (Sun, Huang, Chen, & Li, 2008); -Analogical regression method (a real estate appraisal system) (Kettani & Oral, 2015); -Mixed-method approach (downtown redevelopment) (Charney, 2015); -Normative process model (managing iterations in the modular real estate development process) (Eppinger, Bonelli, & Gonzalez, 2013); -Model of park development (BenDor, Westervelt, Song, & Sexton, 2013); -Hedonic model for high-speed rail station on spatial variations in housing price (Geng, Bao, & Liang, 2015); -Public-private partnership models (Cruz & Marques, 2011;Wang, 2015); -Micro-simulation model of hou...…”

Section: Introductionmentioning

confidence: 99%

Sustainable Development of Real Estate: Decision Support Model and Recommendations for the Period of Crisis

Trinkūnas

Tupėnaitė

Raslanas

et al. 2018

International Journal of Strategic Property Management

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The aim of this paper is to propose a decision support model for real estate development and recommendations that could help Lithuania during economic crises. Research, theoretical and practical tasks of sustainable real estate development process were revised, particular examples presented. Different models and methods for analysis of real estate development discussed. Decision support model, encompassing extensive analysis of the global trends, best crisis management practices, assessment of the factual situation and provision of recommendations for different stakeholders under conditions of market instability presented. According to proposed model, the research was performed by studying the expertise of advanced industrial economies and by adapting such to Lithuania while taking into consideration its specific history, development level, needs and traditions. Basing on these findings, accumulated know-how, the results of previous scientific studies and practical insights of the other authors, specific recommendations to avoid crisis and minimize its consequences in macro-, meso- and micro- levels were provided. Recommendations illustrate holistic point of view and assumption that real estate development consists of creativity, research and art.

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Section: Introductionmentioning

confidence: 99%

Sustainable Development of Real Estate: Decision Support Model and Recommendations for the Period of Crisis

Trinkūnas

Tupėnaitė

Raslanas

et al. 2018

International Journal of Strategic Property Management

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“…The developers have gradually acknowledged the extra value of the downtown area as a unique location for luxury apartments they challenged established downtown land-use regulations of such areas. Under these circumstances, planners faced great difficulties in promoting their corporate-complex agenda forcing them to work with the market so that that part of their objectives could be fulfilled (Charney, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Humanizing Vilnius Old Town by the Sump Measures: When Less Is More

Burinskienė

Vabuolytė

Stauskis

2020

The 11th International Conference ENVIRONMENTAL ENGINEERING 11th ICEE SELECTED PAPERS

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The Old Town of Vilnius City is a valuable site included in the UNESCO World Heritage List. One of the most important tasks is to protect the area from noise, pollution, and vibration caused by transport. Currently, over 30,000 vehicles cross the Old Town core daily, most of which do not have a destination in the Old Town, and drivers only use a shorter route to connect within the city. To this purpose, the Vilnius City Municipality has developed a Loop Traffic Scheme in the Old Town of Vilnius, which allows only loop traffic, i.e. for entry/exit to/from a specific restricted area. The main purpose of the article is the discussion and evaluation of measures how the Old Town area can be returned to the people (i.e., pedestrians, cyclists, public transport) to minimize traffic flows and eliminate transit traffic. To achieve smart solutions and to open public spaces for Old Town residents and visitors, we compare different traffic organization and parking measures, analyse their efficiency. We propose integrating innovative technological solutions and smart tools (parking, ridesharing system, integrated pedestrian and bicycle routes, smart traffic control, etc.) by using the best practices of other cities. As a result, we propose the methodology for humanizing open spaces in the Old Town area and beyond.

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“…The intellectual property discipline system of Chinese characteristics is not distinct. The academic system, discourse system of Chinese style and Chinese style is no wood [2][3]. Intellectual property discipline is an important component of philosophical, and social sciences with Chinese characteristics, and it is also the key work of constructing a philosophical social science system with Chinese characteristics in the new era [4][5].…”

Section: Introductionmentioning

confidence: 99%

Modernization of Intellectual Property Discipline Governance Based on Multivariate Statistical Analysis Towards the Construction of a Powerful Intellectual Property Country

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, after using the TF-IDF algorithm to calculate the weights of intellectual property keywords of digital content, the weights of fused word multi-features are improved to obtain the proportion of intellectual property keywords. Based on intellectual property keywords, combining adversarial fingerprint generation and intellectual property authentication, an intellectual property protection model based on RCNN is constructed. From the perspective of strong nation-building, the research on intellectual property affecting the artificial intelligence industry is designed, and multivariate statistical analysis of scientific governance of intellectual property in the context of strong nation-building is carried out. The results show that the SSIM values obtained by the method of this paper are much better than those obtained by the comparison method in terms of model analysis. Except for the anti-quantization attack, the rest of the indicators are all greater than 0.9. It confirms that the method presented in this paper has excellent robustness in protecting intellectual property. In the empirical analysis of the impact of intellectual property rights on the artificial intelligence industry, except for RDF, which is significant at the 5% level, the regression coefficients of the other explanatory variables are all significant at the 1% level, 2 R amounting to 0.860771 and with a DW value of 1.667387 in the range of 1.5-2.5, that is, it indicates that the level of China’s intellectual property rights protection and the competitiveness of the AI industry are positively correlated. It is positively correlated. This study promotes the improvement of China’s innovation ability and the formation of innovation mechanisms from the aspect of intellectual property protection so as to realize the comprehensive catching up of technology and economy of late-developed countries.

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Downtown redevelopment and land-use regulation: Can planning policies discipline property development?

Cited by 9 publications

References 36 publications

Sustainable Development of Real Estate: Decision Support Model and Recommendations for the Period of Crisis

Sustainable Development of Real Estate: Decision Support Model and Recommendations for the Period of Crisis

Humanizing Vilnius Old Town by the Sump Measures: When Less Is More

Modernization of Intellectual Property Discipline Governance Based on Multivariate Statistical Analysis Towards the Construction of a Powerful Intellectual Property Country

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