Can Social Media Clear the Air? A Case Study of the Air Pollution Problem in Chinese Cities

Kay, Samuel; Zhao, Bo; Sui, Daniel Z.

doi:10.1080/00330124.2014.970838

Cited by 105 publications

(62 citation statements)

References 31 publications

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“…In addition, we determined the local Air Quality Index (AQI) at each location from an interpolated surface of the mean AQI in 2015 [55], as shown in Figure 2. This index serves as an essential environmental indicator of the city that has been shrouded in smog pollution [56]. The amenities variables included eight subcategories (Table 2).…”

Section: Data Collectionmentioning

confidence: 99%

Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic Regression with Open Access POI Data

Ying

Chen

et al. 2017

IJGI

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Abstract:The housing market in Chinese metropolises have become inflated significantly over the last decade. In addition to an economic upturn and housing policies that have potentially fueled the real estate bubble, factors that have contributed to the spatial heterogeneity of housing prices can be dictated by the amenity value in the proximity of communities, such as accessibility to business centers and transportation hubs. In the past, scholars have employed the hedonic pricing model to quantify the amenity value in relation to structural, locational, and environmental variables. These studies, however, are limited by two methodological obstacles that are relatively difficult to overcome. The first pertains to difficulty of data collection in regions where geospatial datasets are strictly controlled and limited. The second refers to the spatial autocorrelation effect inherent in the hedonic analysis. Using Beijing, China as a case study, we addressed these two issues by (1) collecting residential housing and urban amenity data in terms of Points of Interest (POIs) through web-crawling on open access platforms; and (2) eliminating the spatial autocorrelation effect using the Eigenvector Spatial Filtering (ESF) method. The results showed that the effects of nearby amenities on housing prices are mixed. In other words, while proximity to certain amenities, such as convenient parking, was positively correlated with housing prices, other amenity variables, such as supermarkets, showed negative correlations. This mixed finding is further discussed in relation to community planning strategies in Beijing. This paper provides an example of employing open access datasets to analyze the determinants of housing prices. Results derived from the model can offer insights into the reasons for housing segmentation in Chinese cities, eventually helping to formulate effective urban planning strategies and equitable housing policies.

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Section: Data Collectionmentioning

confidence: 99%

Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic Regression with Open Access POI Data

Ying

Chen

et al. 2017

IJGI

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“…This indicates an activity of a person at the time of sending a message. Tapping into the message content itself, this data offers a source of information where the users become citizens as sensors (Goodchild, ) to extract potential information about air quality for example (Kay, Zhao, & Sui, )…”

Section: Introductionmentioning

confidence: 99%

Big location‐based social media messages from China's Sina Weibo network: Collection, storage, visualization, and potential ways of analysis

Jendryke

Balz

Liao

2017

Transactions in GIS

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China's social media platform, Sina Weibo, like Twitter, hosts a considerable amount of big data: messages, comments, pictures.Collecting and analyzing information from this treasury of human behavior data is a challenge, although the message exchange on the network is readable by everyone through the web or app interface.The official Application Programming Interface (API) is the gateway to access and download public content from Sina Weibo and is used to collect messages for all mainland China. The nearby_timeline() request is used to harvest only messages with associated location information.This technical note serves as a reference for researchers who do not speak Mandarin but want to collect data from this rich source of information. Ways of data visualization are presented as a point cloud, density per areal unit, or clustered using Density-Based Spatial Clustering of Applications with Noise (DBSCAN). The relation of messages to census information is also given.

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“…In these social networks, social media networks have become more and more important to show people's concerns about environmental issues and influence governments' environmental regulation policies [16]. With the development of the Internet and information explosion, social media networks…”

Section: Introductionmentioning

confidence: 99%

Environmental Regulation and Industrial Structure Change in China: Integrating Spatial and Social Network Analysis

Chong

Cheng-lin

2017

Sustainability

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Abstract:Social networking has become a crucial factor affecting regional economic activities. Employing the panel data of the Yangtze River Delta and the Pearl River Delta in China, we examine the influence of environmental regulation on industrial structure and the role that social networks play in the spillover effect. Using the social media data from the Weibo API and the geo-information of enterprises, we construct the Weibo network and the enterprise network, then we analyze the network structures by employing a social network analysis method. The empirical results find the evidence of the spillover effects of environmental regulation through the above two networks by using network linkages as weight matrices in spatial econometric regressions.

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Can Social Media Clear the Air? A Case Study of the Air Pollution Problem in Chinese Cities

Cited by 105 publications

References 31 publications

Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic Regression with Open Access POI Data

Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic Regression with Open Access POI Data

Big location‐based social media messages from China's Sina Weibo network: Collection, storage, visualization, and potential ways of analysis

Environmental Regulation and Industrial Structure Change in China: Integrating Spatial and Social Network Analysis

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