Analysis of factors affecting urban park service area in Beijing: Perspectives from multi-source geographic data

Guo, Sihui; Yang, Gege; Pei, Tao; Ma, Ting; Ci, Song; Shu, Huan; Du, Yunyan; Zhou, Chenghu

doi:10.1016/j.landurbplan.2018.09.016

Cited by 93 publications

(31 citation statements)

References 37 publications

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“…Recently, a number of studies have used the increasingly available social media data, like that on Twitter, Instagram or Flickr to measure people’s experience within urban space, especially in developed western countries [ 41 , 49 , 50 ]. However, few studies use data to estimate human interaction with urban parks in developing countries with larger populations like China, without considering the issues of urban public space concerning people’s perception and satisfaction [ 34 , 51 ]. While understanding people’s experience within parks is important for planning and managing high-speed urbanization, research on people’s perceptions of and satisfaction with urban parks is extremely limited in Chinese cities due to the lack of reliable data on people’s feelings.…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting Users’ Satisfaction with Urban Parks through Online Comments Data: Evidence from Shenzhen, China

Liu¹,

Xiao²

2020

IJERPH

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It is essential to give full consideration to the potential barriers facing urban parks from their better functions and meeting residents’ needs in terms of collective perception and satisfaction. This paper presents the methods of using social media (Dianping) data to investigate the potential factors affecting people’s satisfaction with urban parks in Shenzhen, China. Textual analysis and sentiment analysis make it feasible to identify the factors influencing people’s experience in parks. By measuring emotions towards these factors, a multiple linear regression model helps to explore the relationships between the factors and people’s satisfaction, and among them, determines the key ones. The results present the nine key factors of urban parks that affect the users’ satisfaction, in addition to the common factors by previous studies including park size, vegetation, recreation facility, landscape visual effect, maintenance of facilities and plants, and environment cleanliness. A series of contextual factors also significantly influence people’s satisfaction, such as sign system, mosquito and air quality. Among these, sign system has the strongest influence. The results increase the understanding of the human-urban park relationship and identify the characteristics of urban parks that facilitate the degree of satisfaction promotion. Our findings may provide the managerial guidelines for planners and decision-makers to optimize people’s imperative qualities of urban life.

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Section: Introductionmentioning

confidence: 99%

Factors Affecting Users’ Satisfaction with Urban Parks through Online Comments Data: Evidence from Shenzhen, China

Liu¹,

Xiao²

2020

IJERPH

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“…Indexed by this record, the EV users were distinguished from non-EV users-assuming that non-EV users would not have charging visits. (2) Referring to existing data products and previous studies [48,49], the place determined to be the home location depended on where the user stayed the longest during the interval from 10:00 p.m. to 6:00 a.m. (3) The home location had to be located within the Beijing City Region.…”

Section: Lbs Datamentioning

confidence: 99%

Are Electric Vehicles Reshaping the City? An Investigation of the Clustering of Electric Vehicle Owners’ Dwellings and Their Interaction with Urban Spaces

Kang

Kan

Lin

2021

IJGI

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With the rapid development of electric vehicles (EVs) around the world, debates have arisen with regard to their impacts on people’s lifestyles and urban space. Mining spatio-temporal patterns from increasingly smart city sensors and personal mobile devices have become an important approach in understanding the interaction between human activity and urban space. In this study, we used location-based service data to identify EV owners and capture the distribution of home and charging stations. The research goal was to investigate that how the urban form in regions under rapid urbanization is driven by EV use, from a geographical perspective. Using a case study of the expanding metropolis of Beijing, GIS-based spatial statistical analysis was conducted to characterize the spatial-pattern of the homes of EV owners as well as their charging preferences. Our results indicate that the spatial clustering of the homes of EV owners in non-urban central areas—suburban areas—is significantly higher than that in urban central areas. According to the records of visits to charging stations, the spatial interaction distance between the dwellings of EV owners and their visits to charging stations exhibits significant distance attenuation characteristics. 88% of EV owners in this research travels within 40 km (Euclidean distance) between housing and charging stations. At the same time, there were significant differences in the spatial patterns between working days and non-working days which are affected by commuting activities. The three types of urban spatial interaction patterns were identified and categorized by visualization. This transformation to EV use in the city influences several aspects of people’s decisions and behaviors in life. Understanding the impacts will provide valuable information for the development of EVs and their implications in the electrification of transportation, smart planning, and sustainable urbanization.

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“…In this paper, impedance-based measures (travel distance) is selected for assessing accessibility to green spaces. This approach is integrated into different GIS tools such as ArcGIS service area analysis (Guo et al 2019, Kumar et al 2016), QGIS3 Service Area Analysis using…”

Section: E Impedance-based Measuresmentioning

confidence: 99%

A GIS-based assessment of green space accessibility: case study of Dundee

Kmail

Onyango

2020

Appl Geomat

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Recently, it has been proven that access to green spaces provide people with better health conditions and help in enhancing general public health and well-being for urban residents.Therefore, there is a need to assess the quality of green spaces to ensure that they are in good quality in terms of accessibility for example. This paper aims to assess the quality of green spaces in terms of accessibility in the city of Dundee, Scotland based on employing GIS network analysis.The results showed that nearly two thirds of Dundonians have access to 2-20ha green spaces within 300m distance while nearly half of them have access to 20-100ha and 100-500ha green spaces within 2000m and 5000m distance respectively. The findings of this research provide valuable evidence for public policy makers and urban planners in addition to the general public for framing future urban plans in a manner that enhance accessibility to green spaces. The employed methodology in this research can be used in other urban areas within and even beyond Scotland, if the required datasets are available and accessible.

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Analysis of factors affecting urban park service area in Beijing: Perspectives from multi-source geographic data

Cited by 93 publications

References 37 publications

Factors Affecting Users’ Satisfaction with Urban Parks through Online Comments Data: Evidence from Shenzhen, China

Factors Affecting Users’ Satisfaction with Urban Parks through Online Comments Data: Evidence from Shenzhen, China

Are Electric Vehicles Reshaping the City? An Investigation of the Clustering of Electric Vehicle Owners’ Dwellings and Their Interaction with Urban Spaces

A GIS-based assessment of green space accessibility: case study of Dundee

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