Subjective and objective measures of streetscape perceptions: Relationships with property value in Shanghai

Qiu, Waishan; Li, Wenjing; Liu, Xun; Zhang, Ziye; Li, Xiaojiang; Huang, Xiaokai

doi:10.1016/j.cities.2022.104037

Cited by 52 publications

(33 citation statements)

References 75 publications

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“…In the conventional HPM, the housing price is jointly dependent on three categories of attributes, i.e., structural, location, and neighborhood attributes [25]. To scrutinize the impact of micro-level variables, we added micro-level perceptions as a separate attribute category (STRE) but added each type of perceived attributes independently.…”

Section: Hedonic Price Models and Resultsmentioning

confidence: 99%

“…Its value is jointly determined by multifaceted factors, and it is a good reflection of people's direct preferences. In this regard, HPM is a widely adopted approach in housing price urban studies [25]. The hypothesis is that the house values are determined jointly by different attribute groups, including structural, location, and neighborhood attributes.…”

Section: Housing Prices Hpm Macro-and Micro-level Variablesmentioning

confidence: 99%

“…We selected the ten most important elements as the objective street features to be further studied. Sixth, we added both subjective perceptions and objective physical features to the HPM as separate models using housing transaction data from the Lianjia website (secondary data from Qiu et al [25]) and compared explanatory results from OLS and spatial regression models. In this process, accounting for spatial dependence, conventionally measured macro-level variables (including structural, locational, and neighborhood attributes) were used as control variables to understand which variables were more robust in explaining housing prices (Figure 1).…”

Section: Analytical Frameworkmentioning

confidence: 99%

“…Regarding the housing prices, using the year 2019 and Shanghai as criteria on the Lianjia.com (accessed on 20 August 2022) website (the primary Chinese real estate brokerage platform, secondary data from Qiu et al [25]), we obtained transaction records of apartments. After cleaning the data of those records with (1) missing property attributes and (2) extreme prices (e.g., invalid value or extreme square meter price compared to mean value), we retrieved 40,159 valid records with coordinates (see Appendix A).…”

Section: Housing Transaction Datamentioning

confidence: 99%

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Investigating the Impact of Perceived Micro-Level Neighborhood Characteristics on Housing Prices in Shanghai

Song

Liu

Qiu

et al. 2022

Land

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It is widely accepted that houses in better-designed neighborhoods are found to enjoy a price premium. Prior studies have mainly examined the impact of macro-level neighborhood attributes (e.g., park accessibility using land use data) on housing prices. More recently, research has investigated the micro-level features using street view imagery (SVI) data, though scholars limited the scope to objective indicators such as the green view index and sky view index. The role of subjectively measured street qualities is less discussed due to the lack of large-scale perception data. To provide better explanations of whether and how the micro-level neighborhood environment affects housing prices, this article introduces a framework to collect designers’ perceptions on five subjective urban design perceptions from pairwise SVI rankings in Shanghai with an online visual survey and further predicted through machine learning (ML) algorithms. We also extracted ten important objective features from the scenes. The predictive power of micro-level neighborhood street perceptions (subjective perceptions and objective features) on housing prices was investigated using the hedonic price model (HPM) through ordinary least squares (OLS) and spatial regression, which considers spatial dependence. The findings prove the significance of the value of perceived qualities of the neighborhoods. It reveals that both objective perceived features and subjective perceptions significantly contribute to housing prices; while the objective features show more collective strengths, individual subjective perceptions have more explanatory power, and we argue that these two measures can complement each other. This study provides an important reference for decision makers when selecting street quality indicators to inform city planning, urban design, and community and housing development plans.

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Section: Hedonic Price Models and Resultsmentioning

confidence: 99%

Section: Housing Prices Hpm Macro-and Micro-level Variablesmentioning

confidence: 99%

Section: Analytical Frameworkmentioning

confidence: 99%

Section: Housing Transaction Datamentioning

confidence: 99%

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Investigating the Impact of Perceived Micro-Level Neighborhood Characteristics on Housing Prices in Shanghai

Song

Liu

Qiu

et al. 2022

Land

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“…The traditional method to measure spatial perception is to recruit experts and the public for subjective evaluations of spatial perception through questionnaires, scales, or interviews [ 12 , 17 , 18 ]. However, the participants are susceptible to external interferences that may trigger biased results; there are other disadvantages such as high costs, long durations, small data size, and low efficiency, which limit the depth of related studies to a certain extent; therefore, these methods support the study of spatial perceptions of small-scale sites and do not support long-term spatial perception studies on large regional scales [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of spatial perception and the influencing factors of attractions in Southwest China’s ethnic minority areas: The case of Dali Bai Autonomous Prefecture

2023

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As standards of material living continue to improve and urbanization advances, an increasing number of remote ethnic minority areas are becoming tourist destinations. Understanding tourists’ perceptions on a large scale is thus crucial for the development of the regional tourism industry. However, traditional research methods suffer from high costs, small sample sizes, and low efficiency, making it difficult to measure the spatial perception of remote areas on a large scale. This study constructs a research framework for spatial perception measurement of remote ethnic minority areas by collecting reviews data from Ctrip using spatiotemporal data calculation and the Geodetector model. We considered Dali Prefecture as an empirical case and analyzed tourists’ perceptions of the area’s attractions, the spatial distribution of the attractions, and the process of change in the explanatory power of their influencing factors over an eight-year period (2014–2021). The results indicated that the most visited attractions were concentrated in Dali City. The perception of humanistic resources (attractions) with historical value was the highest, followed by natural resources. The high perception of attractions was influenced by the level of tourism development, traffic accessibility and attractiveness, and had an increasing influence on tourists’ perceptions over time. Additionally, changes in the mode of transportation from road to high-speed rail played an important role in the selection of tourist attractions. Conversely, the tourists paid relatively less attention to humanistic resources (e.g., national cultural heritage protection units and traditional villages). Our study provides a basis for the measurement of spatial perception in remote minority areas and can be used as a reference for tourism development planning in Dali Prefecture, thus promoting the sustainable development of tourism in the area.

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Disclosing the Impact of Micro-level Environmental Characteristics on Dockless Bikeshare Trip Volume: A Case Study of Ithaca

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The Urban Book Series

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Subjective and objective measures of streetscape perceptions: Relationships with property value in Shanghai

Cited by 52 publications

References 75 publications

Investigating the Impact of Perceived Micro-Level Neighborhood Characteristics on Housing Prices in Shanghai

Investigating the Impact of Perceived Micro-Level Neighborhood Characteristics on Housing Prices in Shanghai

Analysis of spatial perception and the influencing factors of attractions in Southwest China’s ethnic minority areas: The case of Dali Bai Autonomous Prefecture

Disclosing the Impact of Micro-level Environmental Characteristics on Dockless Bikeshare Trip Volume: A Case Study of Ithaca

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