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With large-scale urbanization globally, the world is facing environmental problems brought about by high-density cities. To achieve sustainable development in Hong Kong, especially for the heavily loaded Cross Harbour Tunnel district, The Hong Kong Polytechnic University proposes a Green Deck over the Cross Harbour Tunnel to enhance the neighboring environments. Green belts, buildings, and a new exhibition center are planned for this deck. This will require an increase in the guest capacity of nearby hotels in the Tsim Sha Tsui East (TSTE) area. This study, therefore, investigated the development potential of the 23 existing buildings in TSTE and the environmental impact brought about by the increase of plot ration (PR)/building height (BH) in that area. Spatial analyzes of solar exposure, wind ventilation, and air temperature were conducted based on four different scenarios with various PR/BH; human thermal comfort brought about by PR/BH changes were also measured. A comparison of different scenarios revealed no significant changes in the surrounding environment. The study concludes that there is potential for PR/BH relaxations in TSTE to increase spaces to meet increased population flow. [ABSTRACT FROM AUTHOR]

Economic sustainability is often addressed from the perspective of economic growth and at the national level. In contrast, this research attempts to examine the question of economic sustainability of human settlement at a local project level. Urban planners need to strike a balance between dispersal and over‐concentration of population in cities. The existing theories suggest that either excessively low or extremely high levels of household concentration is undesirable to a neighborhood. In this study, an economic assessment using machine learning (ML) techniques is used to identify the threshold scale of a housing estate, which comprises many privately owned residential units (like condos) with shared amenities. Using two decades of property transaction data in Hong Kong as our evidence, this study has found that a tipping point exists in the development scale of these housing estates. Housing values initially rise with the number of residential units in a housing estate but gradually fall when it increases beyond a critical limit. This nonlinear economic relationship is attributed to the per household share of common facilities, which does not increase sufficiently to match with the growing population density of the housing estates. The policy implication is that, to optimize housing supply, urban planning should not just focus on increasing the development bulk of housing but should also pay attention to the possible bottlenecks in the provision of shared amenities in the neighborhood. [ABSTRACT FROM AUTHOR]

This study uses three machine learning algorithms including, support vector machine (SVM), random forest (RF) and gradient boosting machine (GBM) in the appraisal of property prices. It applies these methods to examine a data sample of about 40,000 housing transactions in a period of over 18 years in Hong Kong, and then compares the results of these algorithms. In terms of predictive power, RF and GBM have achieved better performance when compared to SVM. The three performance metrics including mean squared error (MSE), root mean squared error (RMSE) and mean absolute percentage error (MAPE) associated with these two algorithms also unambiguously outperform those of SVM. However, our study has found that SVM is still a useful algorithm in data fitting because it can produce reasonably accurate predictions within a tight time constraint. Our conclusion is that machine learning offers a promising, alternative technique in property valuation and appraisal research especially in relation to property price prediction. [ABSTRACT FROM AUTHOR]

Investment in rapid transit infrastructure brings spatial changes in cities. Urban land uses compete to occupy precious, accessible locations around metro stations. This study explores the land use characteristics and spatial distribution of private development within a 500 m walking catchment of metro stations of Hong Kong between 1981 and 2017. It concludes that, while metro station continued to be a magnet to commercial-office development, especially within and near traditional CBD districts, they have gradually spread to the outer industrial districts. Housing uses were being pushed and pulled out of the urban core. Proximity to a metro station has a strong, positive impact on both Business and Hospitality Land Uses, relative to housing and industrial development. Planning policies have played a strong role in influencing the land use selection of private developers on land within the station catchment areas, leading to a high inter-station differentiation of land use mixes. Relaxation of government regulations, coupled with market circumstances, caused a recent wave of new development of hotels and serviced apartments which out-competed commercial-offices in occupying prime locations near stations. [ABSTRACT FROM AUTHOR]

Abstract: This study evaluates the land-use zoning and development of open space in the hyper-dense, land-hungry city of Hong Kong. The existing literature has generally found that its open space provision is unsatisfactory in both quality and quantity. The study fills the research gap by undertaking an archive research and interpreting the past zoning data from a total of 1573 statutory town plans published between 1965 and 2006. It elucidates how the current ungenerous provision of public open space can be attributed to a number of historical, political and institutional factors including: inefficient division of government responsibilities, lack of public representation, pro-growth planning ideology, revenue-maximizing land sale policy and privatization of urban space. This study concludes that the development of public open space has been prejudiced under the statutory planning system and land allocation process. It suggests that the shrinking of public open space may cause excessive development density that aggravates the deteriorating urban climate in Hong Kong. [Copyright &y& Elsevier]

International land-use concepts are transformed to suit local circumstances. What is truly common after local adaptation becomes arguable. This paper examines application of a British land-use planning concept, green belt, in the ex-colonial city of Hong Kong. Through examining its local history and planning decisions for village housing development within such zones, this study reveals the ambiguity and flexibility of this land-use concept in conserving the natural landscape and open countryside. It highlights the conflicts and compromises of green belt planning policy in connection with countryside protection, local politics and development pressures. The conclusion is that the green belt zone coincides with its overseas counterpart in name only; its substance and implementation are drastically diverse across cities. [ABSTRACT FROM AUTHOR]

Hong Kong is an international metropolis with a highly dense population. As a result, it faces enormous challenges in terms of land supply. As part of the Hong Kong Government's initiative to increase land supply, the Civil Engineering and Development Department (CEDD) proposed minor relaxation of the maximum plot ratio/building height restrictions for 21 target sites in Kai Tak Development Area (KTDA). Although CEDD has explored the feasibility of increasing development intensity by assessing environmental impacts, infrastructure capacity and public consultation, these reviews and assessments were conducted based on the 2D GIS. Since the spatial distribution of land unit in the real world is three-dimensional, 3D GIS can help us look into the world in true perspective and make informed decisions. This study aims to investigate the viability of minor relaxation of maximum plot ratio/building height restrictions of 21 sites in KTDA through 3D modeling and 3D spatial analyses, including skyline, visual impact, shadow and solar exposure. Regarding to the 21 target sites, four scenarios with different plot ratios and building heights were built and compared. The results indicate that minor relaxation of maximum plot ratio and building height leads to (i) minor effect on skyline (ii) minor effect on visual impact and (iii) slight changes in shadow and solar exposure both in winter and summer. Therefore, in light of the findings from this study, scenario 4 is the recommended reasonable scale to relax the maximum plot ratio/building height restriction for the target sites in KTDA. Besides, this study can also be applied in the urban renewal studies and other new development areas in Hong Kong, or even in other densely populated cities. [ABSTRACT FROM AUTHOR]

With the development of global urbanization, high-density cities faces enormous challenges on land supply. Hong Kong is a megacity with a long-term lack of land and housing supply. To increase the development intensity of built-up areas in Hong Kong, a minor relaxation of plot ratio/building height restrictions for twenty-one sites in the three target study areas of Kai Tak Development Area has been approved by the Town Planning Board in 2015. This study aims at providing scientific evidence on the impact of this relaxation and possible further relaxations using 3D spatial analyses and simulation technologies. After a 3D model of Kai Tak and surrounding areas being generated, effects of increased PR/BH on skyline, visibility, shadow and insolation, air temperature, and wind ventilation were successfully analysed based on five scenarios. Research findings indicated that, except the extreme case of Scenario 5, no significant changes were found in Scenario 2, Scenario 3 and Scenario 4 when compared with the original plan of Scenario 1. As a pilot study focusing in Hong Kong, this research may also serve to provide new methodological and theoretical insights to facilitate rational discussion and debate on changing land development density in other similar hyper-dense cities. • We measure impacts of minor relaxation of maximum plot ratio/building height restrictions. • 3D models of Kai Tak and surrounding areas are established in GIS virtual environment. • We simulate changes of visual and microenvironment using 3D spatial analyses under five scenarios. • The most recommended scenario and implications are discussed based on the analysis results. • The proposed approach can be applied to other cities in the similar context. [ABSTRACT FROM AUTHOR]