Article
Ecology
Junehyung Jeon, Ayoung Woo
Summary: This study fills the research gap by examining the spatial patterns of public housing and the environmental characteristics of surrounding neighborhoods to determine the walkability for subsidized families. The findings show that long-term public housing is located in areas with low intersection density and street pavement but high crosswalk density, while short-term public housing tends to be in neighborhoods with poor greenery and openness, and lower intersection and crosswalk densities. These results offer insights for housing developers and planners to improve neighborhood walkability for subsidized families.
LANDSCAPE AND URBAN PLANNING
(2023)
Article
Ecology
Junehyung Jeon, Ayoung Woo
Summary: This study fills a research gap by examining the relationship between public housing and access to walkable neighborhoods. Using deep learning techniques and Google Street View datasets, the research estimated visual walkability and found differences between long-term and short-term public housing. The findings can provide insights for housing developers and planners to improve walkability around public housing.
LANDSCAPE AND URBAN PLANNING
(2023)
Article
Environmental Sciences
Gonghu Huang, Yiqing Yu, Mei Lyu, Dong Sun, Qian Zeng, Dewancker Bart
Summary: Walkability of urban streets has a positive impact on public health and the creation of livable cities, while coastal streets contribute to urban vitality and image. This study used virtual reality technology and Google Street View Panoramic image data to evaluate the visual walkability perception (VIWP) of Fukuoka coastal streets. Regression analysis demonstrated the positive influence of natural features such as trees, shrubs, grass, and water, while buildings and cars had a negative impact on VIWP. The research expands on previous walkability studies and provides optimization strategies for improving the visual quality of coastal streets.
ENVIRONMENTAL RESEARCH COMMUNICATIONS
(2023)
Article
Environmental Sciences
Deepank Verma, Olaf Mumm, Vanessa Miriam Carlow
Summary: Deep Learning (DL) is used to identify urban elements through Earth Observation (EO) datasets, focusing on fine-grained urban features in streetscapes, with the study evaluating model performance and generating geospatial datasets.
Article
Urban Studies
Jin Rui
Summary: This study explores the differences in perception of urban streetscape quality from different viewpoints and their impact on street regeneration. Using Google Street View and pedestrian-view photographs, it identifies the priority of street renewal based on a combined analysis of perceptual quality and walking potential.
Article
Environmental Studies
Yilei Tao, Ying Wang, Xinyu Wang, Guohang Tian, Shumei Zhang
Summary: This study proposes an analytical framework to investigate the relationship between human activity density and the visual characteristics of streets. By using an image-segmentation model and deep learning approach, the study successfully quantifies street perception. This research is significant for urban planning and the development of high-density cities.
Article
Ecology
Xinxin Ren, Qi Li, Minmin Yuan, Shegang Shao
Summary: The study investigated the impact of street greenery on the acoustic comfort perception of pedestrian streets in traffic noise settings. The results showed that the presence of medium or high greenery significantly improved the evaluations of acoustic comfort. Greenery was found to be the most significant factor influencing acoustic comfort, particularly in leisure environments. However, sound levels were the main factor affecting acoustic comfort in transportation environments. These findings provide valuable guidance for optimizing the quality of public spaces and urban design to create comfortable sound environments.
LANDSCAPE AND URBAN PLANNING
(2023)
Article
Social Sciences, Interdisciplinary
Chang Li, Pengcheng Li, Xiaohui Huang
Summary: This study examines the visual attractiveness and preferences of streetscape from the perspective of tour bus passengers. The results show that regional landscape with cultural and readable emotional motivations tends to be more positively perceived by visitors, while modern architecture and construction sites with unreadable and unattractive emotional motivations are negatively perceived.
Article
Psychology, Multidisciplinary
Hui He, Jiamin Li, Xiaowu Lin, Yanwei Yu
Summary: Greenway is a corridor in the city connecting natural elements and open spaces with functions such as leisure and recreation. The assessment of built greenways provides important construction experience and planning concepts. The research results show that continuous cycling paths, high security awareness, open landscapes, and rich human activities evoke positive perceptions among local cyclists.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Neurosciences
Renzo C. Lanfranco, Alvaro Rivera-Rei, David Huepe, Agustin Ibanez, Andres Canales-Johnson
Summary: Hypnotic suggestions can induce a variety of perceptual experiences, including hallucinations. Visual hypnotic hallucinations differ from regular mental images in terms of their automaticity, vividness, and realism. Research suggests that the neural signatures distinguishing hypnotically hallucinated faces from imagined faces lie in the right hemisphere of the brain.
Article
Urban Studies
Xiangyuan Ma, Chenyan Ma, Chao Wu, Yuliang Xi, Renfei Yang, Ningyezi Peng, Chen Zhang, Fu Ren
Summary: This study introduces an analytical framework using deep learning and large-scale street view images to quantify streetscape visual traits and assess the impact of urban renewal. The research reveals spatial heterogeneity in street perception and varying effects of different function streets on perception outcomes.
Article
Biodiversity Conservation
Junjie Luo, Tianhong Zhao, Lei Cao, Filip Biljecki
Summary: This study utilizes computer vision to analyze water view imagery and virtual reality to measure people's perceptions of water scenes. The results establish the relationship between subjective human perceptions and objective machine perceptions. The large-scale dataset produced in this study has been openly released to support future research.
ECOLOGICAL INDICATORS
(2022)
Article
Psychology, Biological
Jelena Ristic, Francesca Capozzi
Summary: This study examined the role of perceptual information from visual and auditory modalities in social event segmentation. The findings showed that when both auditory and visual information were available, participants demonstrated higher consensus and response consistency in parsing social and nonsocial events. Visual information benefited group agreement in social segmentation, while auditory cues contributed under ambiguous or uncertain conditions and during the segmentation of nonsocial content.
QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY
(2023)
Article
Behavioral Sciences
Jianghao Liu, Paolo Bartolomeo
Summary: Individuals experience different levels of vividness in their visual mental images. A study with 117 healthy participants found that those with congenital aphantasia, a condition characterized by absent or near-absent visual imagery, had slower response times in both imagery and perceptual tasks, but similar levels of accuracy compared to other groups. These findings support the hypothesis that congenital aphantasia primarily involves a deficit of phenomenal consciousness.
Article
Cell Biology
Yiheng Hu, Qing Yu
Summary: The study investigates the spatiotemporal dynamics of self-generated imagery using electroencephalography and functional magnetic resonance imaging. The results show overlapping neural signatures of cue-induced and self-generated imagery but with significantly different sensitivities to the two types of imagery.
Article
Demography
Jin Zhu, Shenjing He, Jinwei Hao
Summary: This study explores the active defense of rights by migrant tenants and how factors like social capital, stigmatization, and exclusion from planning strengthened their rights consciousness, affecting power dynamics with landlords. Landlords and government collaborated through attractive compensation packages to displace migrants, leading to the loss of social support in migrant enclaves and hindering their upward mobility.
POPULATION SPACE AND PLACE
(2022)
Article
Engineering, Electrical & Electronic
Shujing He, Qi Zhang, Jiayin Qin
Summary: In this study, research on pilot pattern design for 2D OFDM modulations in time-varying frequency-selective fading channels is conducted, providing a criterion for design to minimize the mean square error of channel estimation. A method to reduce computational complexity is proposed, and conditions for achieving the lower bound design are provided, leading to superior results compared to existing methods in simulation.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Shujing He, Qi Zhang, Jiayin Qin
Summary: Polar-coded non-orthogonal multiple access (NOMA) is a competitive option for future wireless physical layer access techniques. The conventional NOMA system using successive interference cancellation (SIC) for signal decoding is optimal only when the code length is sufficiently long. In this paper, a joint multi-user successive cancellation decoding algorithm is proposed for the polar-coded uplink NOMA system to address channel fluctuations, and simulation results demonstrate its robustness.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Construction & Building Technology
Lingqi Wang, Shenjing He, Chong Zhao, Shiliang Su, Min Weng, Guie Li
Summary: The essential role of food environment in achieving urban sustainability has been widely recognized worldwide. However, there is limited understanding on how urban food availability and associated social inequalities change over time, particularly in the developing world. This study analyzes the food availability dynamics in Hangzhou metropolitan in China from 2016 to 2018 and finds that while overall temporal changes are not significant, there is prominent and lasting spatial heterogeneity in food environment. Social inequalities in food availability persist but show a declining trend during the research period, and socioeconomic status has a significant impact on food availability at both community and sub-district levels. The findings of this study provide insights for creating sustainable food environments in developing metropolitan areas and contribute to the research on urban sustainable food environment in non-western contexts.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Geography
Pu Hao, Shenjing He
Summary: This paper explores how rural citizens' mobility choices are influenced by individual and familial endowments at the sending end. The possession of good health, adequate educational attainment, and non-local family livelihoods increase the likelihood of out-migration, while a lack of these endowments hinders rural citizens from migrating.
JOURNAL OF RURAL STUDIES
(2022)
Article
Geography
Shenjing He
Summary: This study examines the rise of education-featured gated communities (edu-featured GCs) in Chinese cities and explores the role of the entrepreneurial local state and individual choices in shaping these communities. The study shows that the entrepreneurial state forms a strategic alliance with private capital to create different types of edu-featured GCs. Meanwhile, individuals are responsibilized to produce a competitive labor force, leading to the reproduction of the enterprising self. However, middle-class households are trapped in a cycle of hypercompetition despite their investment in education and housing markets.
GEOGRAPHICAL JOURNAL
(2022)
Article
Economics
Shiliang Su, Chong Zhao, Hao Zhou, Bozhao Li, Mengjun Kang
Summary: This research explores the impact of TOD structural factors on metro ridership and identifies noticeable differences in their relative contributions across time and space. Specifically, metro station factors contribute the most to metro ridership, followed by the feedback factor, surrounding land use factors, and sociodemographic factors.
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Environmental Studies
Shenjing He, Chenxi Li, Yang Xiao, Qiyang Liu
Summary: This research combines big data and thick data approaches to examine the correlation and causation between residential neighborhood features and people's daily commuting and traveling patterns. The study confirms the major mechanisms of neighborhood effects and highlights the importance of social interactions and access to/quality of public facilities.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Lirong Hu, Shenjing He, Shiliang Su
Summary: This paper presents a novel approach to analyzing the dynamics of sales and rental submarkets in the Shanghai real estate market by integrating the hedonic model, geographically and temporally weighted regression (GTWR), and machine learning. The results show that our proposed method can accurately identify submarkets and reveals significant differences between sales submarkets and rental submarkets.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2022)
Article
Geography
Rong Cai, Lirong Hu, Shenjing He
Summary: Quality schools have a strong influence on the housing market and social life. While there is extensive research on the link between school choice and housing dynamics in developed economies, little is known about this relationship in developing contexts, including China. This study examines the process of gentrification driven by access to educational resources in Shanghai using a longitudinal housing transaction dataset. The findings reveal uneven spatial and temporal evolution of education-led gentrification, highlighting the role of policy in shaping these dynamics.
GEOGRAPHICAL JOURNAL
(2022)
Article
Geography
Kun Wang, Junxi Qian, Shenjing He
Summary: Recent research in urban political ecology (UPE) focuses on urban environmentality and sheds light on the emergence of non-coercive and diffused forms of power that shape environmental subjects. Meanwhile, studies on urban environmental politics in the Global South examine the role of sovereign power in governing socio-ecological changes. This paper bridges the gap between sovereign and non-sovereign governance by exploring the concept of multiple environmentalities. Through a case study of Guiyu Town, China, a polluted e-waste processing hub, this study highlights the relevance of the multiple environmentalities paradigm to UPE and suggests the need for situated theories in the urban South.
Article
Urban Studies
Rong Cai, Shenjing He
Summary: This study examines the consensus-oriented neighborhood governance in Shanghai and Guangzhou under the influence of state entrepreneurialism and the entrepreneurial society. The study also explores the strategic use of homeowner associations as a societal instrument for achieving non-economic governance goals in post-reform China.
JOURNAL OF URBAN AFFAIRS
(2022)
Article
Environmental Sciences
Guoxiang Niu, Ruzhen Wang, Hao Zhou, Junjie Yang, Xiankai Lu, Xingguo Han, Jianhui Huang
Summary: Effective management of macronutrients is crucial in improving ecosystem services in grassland areas. This study found that long-term nitrogen fertilization and mowing practices have significant impacts on the distribution of macronutrients in plant-soil systems, with limited mitigation effects from mowing.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Meeting Abstract
Regional & Urban Planning
Kun Wang, Junxi Qian, Shenjing He
JOURNAL OF PLANNING LITERATURE
(2022)
Article
Geography
Rong Cai, Shenjing He
Summary: This research examines how local state exerts institutionalized control over homeowner associations (HOAs) through three critical mechanisms of infrastructural power, enriching Mann's conceptual framework and renewing understanding of state-society interactions in post-reform China. Uneven state reach due to fragmented local authorities aims to facilitate political control on urban neighborhoods.
Article
Construction & Building Technology
Gabriele Bernardini, Tiago Miguel Ferreira, Pilar Baquedano Julia, Rafael Ramirez Eudave, Enrico Quagliarini
Summary: This research offers a methodology for combined spatiotemporal flood risk assessment, considering hazard, physical vulnerability, user exposure, and vulnerability. It adopts a mesoscale approach and investigates indoor and outdoor users' exposure and vulnerability, using the Analytical Hierarchy Process to combine risk factors.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Ying Liu, Chunli Chu, Ruijun Zhang, Shaoqing Chen, Chao Xu, Dongliang Zhao, Chunchun Meng, Meiting Ju, Zhi Cao
Summary: This study investigates the effects of increasing road, wall, and roof albedo on mitigating the urban heat island (UHI) effect in different areas of Tianjin. The results reveal that increasing road albedo is more effective in fringe areas, while increasing wall and roof albedo is more effective in central areas. The temperature changes induced by albedo changes also show seasonal characteristics.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Xisheng Lin, Yunfei Fu, Daniel Z. Peng, Chun-Ho Liu, Mengyuan Chu, Zengshun Chen, Fan Yang, Tim K. T. Tse, Cruz Y. Li, Xinxin Feng
Summary: This study employed computational fluid dynamics and neural network models to investigate and predict pollutant dispersion in urban environments, providing valuable insights for designing effective strategies to mitigate the impacts of hazardous pollutants.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Dipanjan Nag, Arkopal Kishore Goswami
Summary: Future-oriented urban planning should continue to focus on the principles of accessible and walkable cities. The perception of people is crucial for developing better urban walking infrastructure, but current evaluation tools often neglect the "perceived" features of the walking network. This study used conjoint analysis to evaluate users' perception of link and network attributes, revealing the importance of considering both in improving the walking environment.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Yongxin Su, Tao Zhang, Mengyao Xu, Mao Tan, Yuzhou Zhang, Rui Wang, Ling Wang
Summary: This study proposes an optimization method for household integrated demand response (HIDR) by combining rough knowledge and a dueling deep Q-network (DDQN), aiming to address uncertainties in a household multi-energy system (HMES). The simulation results demonstrate that the proposed method outperforms rule-based methods and DDQN in terms of energy cost savings.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Sijia Sun, S. F. A. Batista, Monica Menendez, Yuanqing Wang, Shuang Zhang
Summary: This paper comprehensively analyzes the energy consumption characteristics of electric buses (EBs) and diesel buses (DBs) on different bus lane configurations and operational conditions. The study shows that EBs consume less energy in suburban areas when using regular lanes, while both EBs and DBs save substantial energy when operating on dedicated bus lanes in downtown areas. Notably, shared-use bus lanes have the highest energy consumption.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Shangshang Shen, Dan Yan, Xiaojie Liu
Summary: This study developed a comprehensive theoretical framework for evaluating, diagnosing, and optimizing multi-functional urban agriculture. The framework was applied in Xiamen, China to identify the obstacles that impede its coordinated development and propose optimized modes for its development. Results showed that urban agriculture in Xiamen exhibits sound social function, moderate economic function, and poor ecological function.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Oluwafemi E. Adeyeri, Akinleye H. Folorunsho, Kayode I. Ayegbusi, Vishal Bobde, Tolulope E. Adeliyi, Christopher E. Ndehedehe, Akintomide A. Akinsanola
Summary: This study examines the impact of land cover, vegetation health, climatic forcings, elevation heat loads, and terrain characteristics on land surface temperature distribution over West Africa. The random forest model performs the best in downscaling predictands. The southern regions consistently exhibit healthy vegetation, while areas with unhealthy vegetation coincide with hot land surface temperature clusters. Positive Normalized Difference Vegetation Index trends in the Sahel highlight rainfall recovery and subsequent greening. Southwest winds cause the upwelling of cold waters, resulting in low land surface temperatures in southern West Africa. Considering LVCET factors is crucial for prioritizing greening initiatives and urban planning.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Yuchi Cao, Yan Li, Shouyun Shen, Weiwei Wang, Xiao Peng, Jiaao Chen, Jingpeng Liao, Xinyi Lv, Yifan Liu, Lehan Ma, Guodian Hu, Jinghuan Jiang, Dan Sun, Qingchu Jiang, Qiulin Liao
Summary: The study reveals significant disparities in urban green equity, with high property price areas having better access to green spaces than low property price areas. Landscape and greening have the most significant impact on urban green space differentiation.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Shaobo Sun, Kui Shan, Shengwei Wang
Summary: Economizer control is an important measure for energy savings in air-conditioning systems during moderate seasons. Humidity measurement uncertainties have a significant impact on enthalpy-based economizer control, and an uncertainty-tolerant control strategy is proposed to mitigate these effects.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Ding Mao, Peng Wang, Yi-Ping Fang, Long Ni
Summary: This study analyzes the structure, function, operation, and failure characteristics of district heating networks (DHNs) and proposes vulnerability analysis methods. The effectiveness of these methods is validated through application to a DHN in a Chinese city. The study finds that the heat source connectivity efficiency loss rate effectively characterizes topological and functional vulnerability. It also reveals that controllable DHNs have higher functional vulnerability under large area failure scenarios.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Hamid Karimi, Saeed Hasanzadeh, Hedayat Saboori
Summary: This paper presents a stochastic and cooperative approach for the operation of a cluster of interconnected multi-energy systems. The proposed model investigates the interaction among energy systems and integrates hydrogen and water systems into the overall energy structure. The model studies the performance of energy system agents in decentralized and cooperative scheduling.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Zhiyu Yan, Xiaogang Guo, Zilong Zhao, Luliang Tang
Summary: This study proposes a novel framework for fine-grained information extraction and dynamic spatial-temporal awareness in disaster-stricken areas based on social media data. The framework utilizes deep learning modules to extract location and water depth information from text and images, and analyzes the spatio-temporal distribution characteristics. The results show that the fusion of text and image-based information can enhance the perception of flood processes.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
M. A. Pans, G. Claudio, P. C. Eames
Summary: This study simulated and optimized a speculative district heating system in an existing urban area in Loughborough, UK. The system used only renewable heat sources and thermal energy storage to address the mismatch between heat generation and demand. The study assessed the impact of long-term storage volume and charging temperature on system cost and energy efficiency.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Jianmei Zhong, Wei Zhang, Xiaoli Wang, Jinsheng Zhan, Tao Xia, Lingzhi Xie, Xiding Zeng, Kun Yang, Zhangyu Li, Ruiwen Zou, Zepu Bai, Qing Wang, Chenyang Zhang
Summary: This study aims to propose a suitable air distribution design and reduce the energy consumption of the BSL-4 laboratory. It analyzes the diffusion characteristics of aerosols, infection risk under different air distributions, and ventilation parameters. The results show that the proposed energy-saving operation strategy can reduce the energy consumption of the laboratory by 15-30%.
SUSTAINABLE CITIES AND SOCIETY
(2024)