Lei He
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Lei He has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
Ziang Xie
Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China
2 shared publications- Ziang Xie
Key Laboratory of Ecology and Energy-Saving Study of Dense Habitat (Ministry of Education), College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
2 shared publications Mingdi Zhang
College of Architecture and Urban Planning, Key Laboratory of Ecology and Energy-Saving Study of Dense Habitat (Ministry of Education), Tongji University, Shanghai, China
1 shared publicationQunfang Hu
Shanghai Institute of Disaster Prevention and Relief, Tongji University
1 shared publication- Shenzhi Dai
College of Architecture and Urban Planning, Key Laboratory of Ecology and Energy-Saving Study of Dense Habitat (Ministry of Education), Tongji University, Shanghai 200092, China
1 shared publication - Yan Song
Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
1 shared publication
Latest Publications
- 23 November 2024
- Published by Elsevier in Tunnelling and Underground Space Technology
- Vol. 156
Factors and mechanisms shaping vacant urban underground space in Shanghai
- 23 November 2024
- Published by Elsevier in Tunnelling and Underground Space Technology
- Vol. 156
Factors and mechanisms shaping vacant urban underground space in Shanghai
- Open Access
- 4 November 2022
- Published by Frontiers Media SA in Frontiers in Environmental Science
- Vol. 10
Does the scarcity of urban space resources make the quality of underground space planning more sustainable? A case study of 40 urban underground space master plans in China
The international community has reached a consensus on promoting the sustainable development of global cities. As an important and irreversible space resource in a city, the development and utilization of urban underground space should follow the principle of sustainability and emphasize scientific and forward-looking planning. At present, most cities have formulated urban underground space master plans. However, due to the lack of an effective evaluation method, the plan quality is uneven, which directly affects the sustainability of underground space development and utilization. This paper proposes a set of sustainability evaluation framework of underground space planning based on relevant planning standards and plan quality evaluation protocol, and makes a comparative analysis of the 40 urban underground space master plans formulated in China from 2004 to 2020. The research found that the planning documents generally reflected the problem of emphasizing design strategies and engineering technology while neglecting implementation and humanistic care; administrative region, population density, land price and other variables closely related to the scarcity of urban space resources are the main factors affecting the quality of urban underground space planning. The conclusions of this paper can aid planners and researchers to identify the problems and influencing factors of underground space planning related to sustainability, and summarize the methods to improve the quality of underground space planning.
- 4 November 2022
- Published by Frontiers Media SA in Frontiers in Environmental Science
- Vol. 10
Open AccessDoes the scarcity of urban space resources make the quality of underground space planning more sustainable? A case study of 40 urban underground space master plans in China
The international community has reached a consensus on promoting the sustainable development of global cities. As an important and irreversible space resource in a city, the development and utilization of urban underground space should follow the principle of sustainability and emphasize scientific and forward-looking planning. At present, most cities have formulated urban underground space master plans. However, due to the lack of an effective evaluation method, the plan quality is uneven, which directly affects the sustainability of underground space development and utilization. This paper proposes a set of sustainability evaluation framework of underground space planning based on relevant planning standards and plan quality evaluation protocol, and makes a comparative analysis of the 40 urban underground space master plans formulated in China from 2004 to 2020. The research found that the planning documents generally reflected the problem of emphasizing design strategies and engineering technology while neglecting implementation and humanistic care; administrative region, population density, land price and other variables closely related to the scarcity of urban space resources are the main factors affecting the quality of urban underground space planning. The conclusions of this paper can aid planners and researchers to identify the problems and influencing factors of underground space planning related to sustainability, and summarize the methods to improve the quality of underground space planning.
- Open Access
- 7 October 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (19) , 12804
Research on the Characteristics and Influencing Factors of Community Residents’ Night Evacuation Behavior Based on Structural Equation Model
Nighttime natural disasters are common, and earthquakes are the most common of these disasters. This study explores the behavior of residents during night evacuations after an earthquake and the factors that influence such behavior. The aim of this study is to improve nighttime disaster relief in residential areas and provide new ideas for renovating and upgrading existing communities. Shanghai is one of the most population-dense cities in China, and it has a fragile built environment. As part of this study, questionnaires were randomly distributed to residents living in Shanghai, and SPSS and AMOS were used to establish a structural equation model to uncover the relationship between factors and the residents’ nighttime evacuation behavior. Some of the results and conclusions were the following: (a) residents had the highest tendency to choose autonomous evacuation and pro-social behavior during night evacuation than at any other time; (b) spatial perception was significantly negatively correlated with residents’ exclusive behavior; (c) herd behavior, autonomous evacuation, and prosocial behavior were significantly positively correlated with social networks. Finally, this study proposes policy and spatial coping strategies for different behaviors during evacuation to enhance the community’s natural disaster prevention capability.
- 7 October 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (19) , 12804
Open AccessResearch on the Characteristics and Influencing Factors of Community Residents’ Night Evacuation Behavior Based on Structural Equation Model
Nighttime natural disasters are common, and earthquakes are the most common of these disasters. This study explores the behavior of residents during night evacuations after an earthquake and the factors that influence such behavior. The aim of this study is to improve nighttime disaster relief in residential areas and provide new ideas for renovating and upgrading existing communities. Shanghai is one of the most population-dense cities in China, and it has a fragile built environment. As part of this study, questionnaires were randomly distributed to residents living in Shanghai, and SPSS and AMOS were used to establish a structural equation model to uncover the relationship between factors and the residents’ nighttime evacuation behavior. Some of the results and conclusions were the following: (a) residents had the highest tendency to choose autonomous evacuation and pro-social behavior during night evacuation than at any other time; (b) spatial perception was significantly negatively correlated with residents’ exclusive behavior; (c) herd behavior, autonomous evacuation, and prosocial behavior were significantly positively correlated with social networks. Finally, this study proposes policy and spatial coping strategies for different behaviors during evacuation to enhance the community’s natural disaster prevention capability.
- Open Access
- 6 April 2022
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 19 (7) , 4401
Optimization of Urban Shelter Locations Using Bi-Level Multi-Objective Location-Allocation Model
Recently, global natural disasters have occurred frequently and caused serious damage. As an important urban space resource and public service facility, the reasonable planning and layout optimization of shelters is very important to reduce the disaster loss and improve the sustainable development of cities. Based on the review of location theory and models for shelter site selection, this study constructs a bi-level multi-objective location-allocation model, an accessibility, economy, and efficiency (AEE) model, based on sequential decision logic to maximize the economic sustainability and social utility. The model comprehensively considers factors such as the level of decision-making, the utilization efficiency, and capacity constraints of shelters. The gravity model is introduced to simulate the decision-making behavior of evacuees. A calculation example and its solution prove the high practicability and operability of the AEE model in an actual shelter site selection and construction investment, which can achieve the global optimization of evacuation time and the maximization of the use efficiency of the shelters under the financial constraints. It provides a scientific and effective decision-making method for the multi-objective location optimization problem of shelters.
- 6 April 2022
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 19 (7) , 4401
Open AccessOptimization of Urban Shelter Locations Using Bi-Level Multi-Objective Location-Allocation Model
Recently, global natural disasters have occurred frequently and caused serious damage. As an important urban space resource and public service facility, the reasonable planning and layout optimization of shelters is very important to reduce the disaster loss and improve the sustainable development of cities. Based on the review of location theory and models for shelter site selection, this study constructs a bi-level multi-objective location-allocation model, an accessibility, economy, and efficiency (AEE) model, based on sequential decision logic to maximize the economic sustainability and social utility. The model comprehensively considers factors such as the level of decision-making, the utilization efficiency, and capacity constraints of shelters. The gravity model is introduced to simulate the decision-making behavior of evacuees. A calculation example and its solution prove the high practicability and operability of the AEE model in an actual shelter site selection and construction investment, which can achieve the global optimization of evacuation time and the maximization of the use efficiency of the shelters under the financial constraints. It provides a scientific and effective decision-making method for the multi-objective location optimization problem of shelters.
- Open Access
- 28 July 2021
- Published by Frontiers Media SA in Frontiers in Public Health
- Vol. 9, 687937
Community Transmission via Indirect Media-To-Person Route: A Missing Link in the Rapid Spread of COVID-19
To prevent the spread of coronavirus disease 2019 (COVID-19), stringent quarantine measures have been implemented so that healthy people and virus carriers have isolated themselves in the same community owing to the limit capacity of healthcare facilities. With the exponential growth of the infected population, the residential environment is contaminated by fomites from the infected residents and consequently threating the health of susceptible residents. Till now, little has been acknowledged on this indirect transmission route and its role on community transmission. Here we address the impact of self-isolated virus carriers on the residential environment and elucidate the potential transmission pathways via contaminated environment in communities. We urge further investigation on the superspreading cases in communities and hope to arouse the attention to evaluate the potential risk of indirect transmission route as well as the corresponding control measures.
- 28 July 2021
- Published by Frontiers Media SA in Frontiers in Public Health
- Vol. 9, 687937
Open AccessCommunity Transmission via Indirect Media-To-Person Route: A Missing Link in the Rapid Spread of COVID-19
To prevent the spread of coronavirus disease 2019 (COVID-19), stringent quarantine measures have been implemented so that healthy people and virus carriers have isolated themselves in the same community owing to the limit capacity of healthcare facilities. With the exponential growth of the infected population, the residential environment is contaminated by fomites from the infected residents and consequently threating the health of susceptible residents. Till now, little has been acknowledged on this indirect transmission route and its role on community transmission. Here we address the impact of self-isolated virus carriers on the residential environment and elucidate the potential transmission pathways via contaminated environment in communities. We urge further investigation on the superspreading cases in communities and hope to arouse the attention to evaluate the potential risk of indirect transmission route as well as the corresponding control measures.
- Open Access
- 3 September 2019
- Published by MDPI AG in Sustainability
- Vol. 11 (17) , 4811
How Can Post-Disaster Recovery Plans Be Improved Based on Historical Learning? A Comparison of Wenchuan Earthquake and Lushan Earthquake Recovery Plans
Despite the emphasis on sustainability in post-disaster recovery plans (PDRPs), few studies have been conducted to investigate the information conveyed in disaster recovery plans in terms of sustainability. We aimed to investigate, in terms of sustainability, how post-disaster recovery plans can be improved from historical learning by examining local recovery plans that were developed and adopted after the Wenchuan and Lushan earthquakes, which are two representative post-disaster recovery cases in China. An evaluation protocol for sustainability issues was developed to analyze the recovery plans of the most severely affected counties and towns in Wenchuan (16 samples) and Lushan (7 samples). A comparative analysis was conducted to identify the similarities, differences, and evolution of sustainability considerations in these PDRPs. Semi-structured interviews with key informants were conducted to supplement the evaluation with qualitative data. The results show that the components and concepts of sustainability in PDRPs are conveyed and developed mostly by following the organization’s existing patterns and regulations. In contrast, some components are retained across plans, thereby suggesting a substantial general structure of recovery plans. The underlying logic of this experience transfer across plans was discussed. The findings can help local governments and planners to effectively incorporate sustainability into PDRPs.
- 3 September 2019
- Published by MDPI AG in Sustainability
- Vol. 11 (17) , 4811
Open AccessHow Can Post-Disaster Recovery Plans Be Improved Based on Historical Learning? A Comparison of Wenchuan Earthquake and Lushan Earthquake Recovery Plans
Despite the emphasis on sustainability in post-disaster recovery plans (PDRPs), few studies have been conducted to investigate the information conveyed in disaster recovery plans in terms of sustainability. We aimed to investigate, in terms of sustainability, how post-disaster recovery plans can be improved from historical learning by examining local recovery plans that were developed and adopted after the Wenchuan and Lushan earthquakes, which are two representative post-disaster recovery cases in China. An evaluation protocol for sustainability issues was developed to analyze the recovery plans of the most severely affected counties and towns in Wenchuan (16 samples) and Lushan (7 samples). A comparative analysis was conducted to identify the similarities, differences, and evolution of sustainability considerations in these PDRPs. Semi-structured interviews with key informants were conducted to supplement the evaluation with qualitative data. The results show that the components and concepts of sustainability in PDRPs are conveyed and developed mostly by following the organization’s existing patterns and regulations. In contrast, some components are retained across plans, thereby suggesting a substantial general structure of recovery plans. The underlying logic of this experience transfer across plans was discussed. The findings can help local governments and planners to effectively incorporate sustainability into PDRPs.