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1 – 10 of over 25000Lydia Cheung and Mario Andres Fernandez
This study aims to test whether the size of and distance to the nearest green space has any effects on residential property transaction prices in Auckland, New Zealand.
Abstract
Purpose
This study aims to test whether the size of and distance to the nearest green space has any effects on residential property transaction prices in Auckland, New Zealand.
Design/methodology/approach
This paper divides all green spaces in Auckland into three categories, namely, urban parks, regional reserves and volcanic parks (a unique feature in Auckland, New Zealand). This study uses six years of residential property transaction data to estimate hedonic price regressions. For each property, this paper calculates the size of and distance to the nearest park in each category.
Findings
The logged sizes of the nearest regional reserve and volcanic park have positive effects on property prices. The logged distances to the nearest urban park and volcanic park are insignificant, while the logged distance to the nearest regional reserve is positively significant. In other words, homebuyers prefer larger regional reserves and volcanic parks and prefer to be further away.
Originality/value
Auckland is ranked as a top-five city in the world in terms of the proportion of public green space, trailing four European cities. However, because of Auckland’s much younger age, it presents a very different urban form. The study shows that the distribution of green space (not only its total amount) can bring negative capitalization on property prices.
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Asifa Iqbal and Mats Wilhelmsson
There is a lack of understanding in the literature on the relation between parks and house price in relation to crime in Scandinavian context. This paper aims to investigate the…
Abstract
Purpose
There is a lack of understanding in the literature on the relation between parks and house price in relation to crime in Scandinavian context. This paper aims to investigate the effect of the amenity value of accessibility to parks on apartment prices with reference to crime rates in parks in Stockholm.
Design/methodology/approach
This paper analyses the effects of park proximity and crime in parks on apartment prices by using geographic information systems and hedonic modelling.
Findings
Findings show that the proximity of parks as an environmental amenity has an effect on apartment prices. The results also demonstrate that the impact of parks on apartment prices is different in the different segments of the apartment market in Stockholm. Moreover, various types of parks may differ in their impact, for instance, grass parks and park blocks are more desirable in Stockholm than landscape parks and neighbourhood parks. The effects of crimes in parks influence apartment prices negatively.
Originality/value
This paper provides a new methodology by using the shortest distance to a park as a main variable. The shortest distance to a park variable is considered a better choice than using park as an aggregate measure. To the best of the author’s knowledge, this is the first study that investigates the effect of specific park types, for instance, grass parks, neighbourhood parks, landscape parks and park blocks, in Stockholm housing market.
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Urbanisation, environmental sustainability and property markets are intertwined. Consequently, studies on any of these three topics need to take the other two topics into…
Abstract
Urbanisation, environmental sustainability and property markets are intertwined. Consequently, studies on any of these three topics need to take the other two topics into consideration. By critically reviewing 33 hedonic pricing studies in 16 key journals in the urban studies and environmental policies areas, we summarise quantitative evidence on the price of environmental externalities resulting from China's urbanisation process. We find that Chinese residents are willing to pay more for the access to green space and waterbody as well as the treatment of urban pollution. The cost and benefit of these amenities and disamenities have already been capitalised in house prices. The central and local government in China can leverage market force to encourage, support and facilitate sustainable urban development and environmental protection, instead of directly intervening in the property market by using public resources. Meanwhile, the estimated hedonic price of Urban Green, Urban Blue and Urban Grey helps policymakers to understand the cost and benefit of their urban development decisions. Our review of the papers on Urban Green, Urban Blue and Urban Grey suggests that there have been promising and encouraging development in studies on all three topics in the last decade. The quality and quantity of hedonic price research has been improving notably. However, it is also clear that there is virtually no empirical evidence from the second- or third-tier cities, particularly, regarding Urban Green and Urban Blue investigations. The small number of existing hedonic studies is far from sufficient to draw reliable conclusions about the costs of environmental externality for cities that have not been studied. What works in first-tier cities may not hold elsewhere in China due to the large geographical variation in natural endowment, economic development status and local customs. There are many pieces that are missing from this big picture. More hedonic price studies are needed.
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Susana Alves, Peter A. Aspinall, Catharine Ward Thompson, Takemi Sugiyama, Roger Brice and Adrian Vickers
This study aims to examine the environmental attributes relevant to older people's preferences for neighbourhood open spaces. It also aims to explore the association between the…
Abstract
Purpose
This study aims to examine the environmental attributes relevant to older people's preferences for neighbourhood open spaces. It also aims to explore the association between the relative importance of different environmental attributes and personal and social characteristics in a sample of older people covering a range of geographic locations in the UK.
Design/methodology/approach
Choice‐based conjoint analysis (CBC) was used to obtain responses from a sample of 237 older people (60 years +) living in the UK. A total of 13 environmental attributes were identified from earlier qualitative and quantitative studies. Participants were asked to choose a preferred park from a pair of hypothetical neighbourhood parks differing on four of the attributes presented in a questionnaire. The questionnaire included 14 such tasks.
Findings
The results suggest that older people preferred a neighbourhood park which is without nuisance, has cafes and toilets, many trees and plants, light traffic en route, wildlife to watch, and is well maintained. Analyses also reveal that whether or not people live alone, and their functional capabilities in getting around, make a difference in the way they place importance on attributes.
Practical implications
The findings can assist those involved in designing and managing outdoor environments to identify salient environmental attributes and prioritise interventions aimed at improving access to, and use of, outdoor spaces for older adults. The approach aids understanding of what is likely to maximise preference and use of open spaces in different segments of the older population.
Originality/value
Conjoint analysis procedures are some of the best tools available for determining importance or relative value of attributes of complex environments from the user point of view. The CBC analysis has been employed for the first time in this study to explore the relative importance of such attributes of open spaces for older adults.
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Sarah Brooke, Stephen Ison and Mohammed Quddus
Parking choice involves an individual selecting a parking place based upon various inter-related factors. This chapter examines the factors that influence parking choice decisions.
Abstract
Purpose
Parking choice involves an individual selecting a parking place based upon various inter-related factors. This chapter examines the factors that influence parking choice decisions.
Methodology
A review of the literature on parking choice has been undertaken. The influence of various factors on parking choice and recommendations for future parking policy will be outlined.
Findings
Most often it is a combination of several factors which influence individuals’ choice of parking place.
Practical and social implications
Increased knowledge of the factors which influence parking-search behaviour will inform urban parking policy applications with associated environmental and economic benefits.
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Katherine Kenyon Henderson and Yan Song
This paper aims to assess the marginal value of several types of open space in a single family residential market. It also aims to test the hypothesis that locating closer to open…
Abstract
Purpose
This paper aims to assess the marginal value of several types of open space in a single family residential market. It also aims to test the hypothesis that locating closer to open spaces might be a substitute for the size of a homeowner's own yard.
Design/methodology/approach
Using data from Wake County, North Carolina in the US hedonic modeling is used to estimate the house price as a function of the quantities of a property's characteristics, including the property's access to different types of open spaces, property structural features, public services, disamenity features, neighborhood socio‐economic characteristics, and accessibility measures.
Findings
The findings were that housing prices increase with a property's proximity to certain types of open land uses, and that the size of those nearby open spaces also impacts home price. More importantly, the findings concluded that the value of being adjacent to public open spaces, having more public open spaces within walking distance of the property, and being closer to the nearest open space is greater for properties with smaller private yards.
Originality/value
This paper explicitly tests the relationship between yard size and the proximity value of various types of open spaces. The paper also discusses the implications of the research findings for land use planning and smart growth development.
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Virgilija Vasiliene-Vasiliauskiene, Aidas Vasilis Vasiliauskas, Rišard Golembovskij, Ieva Meidute-Kavaliauskiene, Edmundas Kazimieras Zavadskas, Audrius Banaitis and Kannan Govindan
The purpose of this paper is to develop a better understanding of how transportation system factors affect city housing markets. The goal was to show that identifying these…
Abstract
Purpose
The purpose of this paper is to develop a better understanding of how transportation system factors affect city housing markets. The goal was to show that identifying these factors alone is not enough without also examining their effects and variations according to the housing location.
Design/methodology/approach
Transportation system factors were identified by conducting a thorough literature review. The factors’ relevance was tested using a quantitative methodology and a sample of 317 Vilnius residents. This city was next divided into three zones, and data collected from 18 real estate experts was subjected to qualitative analysis. The analytic hierarchy process was then applied to identify transportation system factors’ level of impact and dynamics by the housing location.
Findings
The results show that the factors affect the housing market in question but that these effects vary by the housing location and the most critical factors differ for each city zone.
Research limitations/implications
Only data on Vilnius were used. Further research is needed to compare transportation factors’ dynamics in multiple cities.
Practical implications
Priorities in transportation system improvements should be assessed to facilitate sustainable urban development and enhance the residents’ quality of life. Housing market regulations can only be successful if investment in transportation systems is allocated purposefully and coherently.
Originality/value
This research went beyond identifying transportation system factors by employing a broad, systematic approach to clarifying potential options for regulating housing markets through transportation system projects.
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