City-level emergy metabolism accounts for China’s 281 cities from 2000 to 2020 by Miaohan Tang, Gengyuan Liu, Jingke Hong, Weier Liu, Chao Zhong, Dan Wang, Yuli Shan

“…This dataset meticulously describes the production and import of 41 resource types that sustain metabolic activities in 281 Chinese cities over a span of 21 years. This database, for the first time, provides insights into the historical metabolic changes of China’s cities by detailing emergy flows including production, consumption, and import of resources. …”
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Systemic Impacts of National Civilized Cities on Sustainable Development: A Quasi-Experimental Analysis of Economic and Environmental Outcomes in China by Weixin Yang, Yunpeng Yang, Zhili Chen, Yuxun Gu

“…Employing a quasi-experimental difference-in-differences (DID) method, we analyze data from a panel of Chinese cities (1997–2019) to assess how the NCC title influences economic growth and urban sustainability. …”
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Multi-Modal Social Media Analytics: A Sentiment Perception-Driven Framework in Nanjing Districts by Meng Xia, Zhengyang Lu, Feng Wang

“…This study investigates the complex urban-rural dynamics of Nanjing through a novel multi-modal analysis of 76,288 social media posts, addressing the critical gap in understanding intra-city variations in perceived urban characteristics across rapidly developing Chinese cities. By integrating computer vision techniques with natural language processing, we develop a comprehensive framework for analyzing public sentiment and attention patterns across eleven districts. …”
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Lessons from China’s 48-h COVID-19 testing regime during the dynamic zero COVID policy period by Ali Cheshmehzangi, Zhaohui Su, Tong Zou, Zaheer Allam, Tian Tang

“…Abstract During the pandemic, China’s dynamic zero-COVID policy received much support and criticism simultaneously. In 2022, most Chinese cities of medium to large size had to conduct regular mass testing, leading to a sort of 48-h/48 h COVID-19 testing regime that financially affected many local governments. …”
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Performance of the Priority Control Strategies for Bus Rapid Transit: Comparative Study from Scenario Microsimulation Using VISSIM by Min Yang, Wei Wang, Bo Wang, Jing Han

“…Bus rapid transit (BRT) has a great potential to improve the service level of transit system and has been implemented in many Chinese cities. However, the priority it can provide to buses has not been explored fully. …”
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The impact of energy prices on electric vehicle adoption: From a perspective of consumer expectations by Xiaolei Zhao, Xuemei Li, Anqi Wang, Jianjun Fang

“…It employs a discrete choice model integrated with a regression discontinuity design to analyse the differential impacts of gasoline and electricity prices on EV adoption across 50 Chinese cities from 2010 to 2020. Methodologically, this approach allows for precise estimation of the causal effects of energy prices while controlling for potential confounding factors. …”
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Transcending the urban–rural dichotomy: inequality in urban green space availability among urban neighbourhoods, urban villages and rural villages in Guangzhou, China by Fubin Luo, Yunzheng Zhang, Luyang Zhang

“…Urban green spaces (UGS) are integral to sustainable urban development, yet the urbanization process has resulted in unequal distributions of green resources across different neighbourhoods. In Chinese cities, there are three primary types of neighbourhoods with different socioeconomic features – rural villages (RV), urban villages (UV), and urban neighbourhoods (UN). …”
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Factors Driving Social Capital Participation in Urban Green Development: A Case Study on Green Renovation of Old Residential Communities Under Urban Renewal in China by Guoshuai Sun, Hengfu Zhang, Jiao Feng

“…The renovation of old residential communities within the context of urban renewal is becoming a focal point in the development of Chinese cities. To promote green development in the renovation of old residential communities in China, this study introduces the collaborative governance mechanism of government–social capital cooperation and identifies the factors influencing social capital participation in green development. …”
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Quantifying Urban Sprawl and Its Driving Forces in China by Jintao Wang, Shiyou Qu, Ke Peng, Yanchao Feng

“…The findings of the article may help people to realize that urban sprawl has become a staggering reality among Chinese cities; thereby urban planners as well as policymakers should make some actions to hinder the urban sprawl.…”
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Development Modes of Typical Urban Rail Transit Interconnection in Foreign Cities and Implications by HOUATI·Yeerjiang, YE Xiafei, WANG Zhenbo, CHENG Yan

“…［Objective］ Despite the current established rail transit networking operation in cities like Beijing, Shanghai and Guangzhou, usually the independent operation of each line leads to high pressure and uneven distribution of resources at transfer stations, it is necessary to draw on the experience of foreign cities in typical rail transit interconnection to provide references for the development mode of urban rail transit interconnection in Chinese cities. ［Method］ With the urban rail transit lines in cities like Tokyo, Paris and Karlsruhe as the research objects, the background and development modes of their interconnection are investigated and analyzed, the basic characteristics are summarized. …”
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Spatiotemporal analysis of the impact of green finance on carbon dioxide emissions based on panel data of cities in China by Qiuyi Xu, Li Yao, Kaifang Shi, Wei Zhou, Xuguang Tang

“…To investigate its tangible effects on China since the implementation of green finance, we utilized the nighttime lighting (NTL) data to evaluate urban CO2 emission of Chinese cities from 2010 to 2020. Then, this study utilized the geographically and temporally weighted regression (GTWR) model to examine the correlations between green finance and carbon intensity in different cities across four dimensions including green credit, green insurance, green investment, and government support. …”
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Does Industrial Agglomeration Promote Carbon Efficiency? A Spatial Econometric Analysis and Fractional-Order Grey Forecasting by Zuoren Sun, Yi Liu

“…By the virtue of its advantage in dealing with small sample data which lack statistical rules, this paper makes an out-of-sample prediction of carbon efficiency and industrial agglomeration degree of Chinese cities. By adding the predicted results to the spatial correlation test, new evidence on the spatial correlation of carbon efficiency and spatial division of labor between cities is obtained. …”
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A Real Estate Price Index Forecasting Scheme Based on Online News Sentiment Analysis by Tao Xu, Yingying Zhao, Jie Yu

“…This scheme involves crawling historical online real estate news data in China, employing a BERT-based sentiment analysis model to identify news sentiment, and subsequently aggregating the monthly Real Estate Sentiment (RES) index for Chinese cities. Furthermore, we construct a Vector Autoregression (VAR) model using the historical RES index and housing price index to forecast future housing price indices. …”
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Spatio-temporal evolution and driving forces of urban gravity centers and ecological security risk gravity centers in China by Peng Chen, Jiaojiao Duan, Yihan Wang

“…To gain a deeper understanding of the influence of gravity center migration on urban safety, we select 30 Chinese cities for analysis and apply various methods, such as the center-of-gravity technique, the construction of an ecological security risk index, and a comprehensive center of gravity, to conduct a thorough study of urban gravity centers, ecological security risk gravity centers, and migration trajectories between the two. …”
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Measurement and spatio-temporal evolution of high-quality industrial development level in China by XinMei Yang, RuiHui Zhou

“…Furthermore, the spatial distribution is predominantly concentrated in the Eastern coastal areas. (2) The spatial distribution of HQID index in Chinese cities reveals positive correlation between the H–H type spatial agglomeration pattern and the L–L type spatial agglomeration pattern. (3) The highest level of HQID and the most pronounced growth trend are observed in Eastern coast and Northern coastal. …”
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Green finance and urban carbon emission dual control: an empirical evidence from China by Tian Zhang, Yao Zhang, Yumin Zhang

“…The study finds that: (1) The development of green finance significantly inhibits both the total carbon emissions and carbon emission intensity of Chinese cities. (2) The impact of green finance on urban carbon emissions and intensity exhibits significant regional heterogeneity. …”
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Spatiotemporal dynamic and regional differences of public attention to vaccination: An empirical study in China. by Yaming Zhang, Xiaoyu Guo, Yanyuan Su

“…Second, the public attention in Chinese cities shows the spatial characteristics of "leading in the east, followed by the central, western and northeastern regions". …”
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Performance Analysis of Novel Lightweight Photovoltaic Curtain Wall Modules Under Different Climatic Conditions by Guofeng Tao, Qunzhi Zhu, Yonggang Chen, Xiaolong Shi, Jun Guan

“…The performance of two typical lightweight PV curtain wall modules is evaluated in five sample Chinese cities of different climates. Simulations were carried out to determine the power generation of faux architectural material PV curtain wall modules (FAM PVCWMs) for the best cavity distance per facade in various cities. …”
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Research on the synergizing the reduction of pollution and carbon emissions of new-type urbanization by Yuanyuan Zhao, Hongwei Zhou, Chuanzeng Jiang, Linlin Xuan, Liming Chen

“…Based on the data of 282 Chinese cities from 2011 to 2018, this article analyzes and explains the synergizing the reduction of pollution and carbon emissions (PCE) of new-type urbanization (NTU) by employing the Differences-in-Differences (DID) model. …”
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Evaluation of Public Welfare Level of Urban Rail Transit considering Operation Management by Ran Meng, Baohua Mao, Qi Xu, Yang Yang

“…To verify the effectiveness of the proposed method, urban rail transit systems in 16 Chinese cities are studied as a case study. The results show that (1) the three indicators of passenger travel cost (25.69%), the increase in housing prices around urban rail transit(10.74%), and operating cost ratio(9.95%) are more likely to affect the evaluation of public welfare level of urban rail transit. (2) the level of public welfare in different cities is not balanced. …”
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