B Deal
Biographic Data
| ID | 14632 |
|---|---|
| NAME | B Deal |
| GIVEN NAMES | B |
| FAMILY NAME | Deal |
| SIGNATURE | DEAL B |
| AFFILIATIONS | University of Illinois Urbana-Champaign |
| ORCID | 0000-0002-9981-5474 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 24 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 3 |
Multi-scaled green infrastructure optimization: Spatial projections and assessment for dynamic planning and design
Transitioning complex socioeconomic modeling to informed and visualized decision-making: A tightly coupled planning support system
AI Analytics for Carbon-Neutral City Planning: A Systematic Review of Applications
Artificial intelligence (AI) has become a transformative force across various disciplines, including urban planning. It has unprecedented potential to address complex challenges. An essential task is to facilitate informed decision making regarding the integration of constantly evolving AI analytics into planning research and practice. This paper presents a review of how AI methods are applied in urban studies, focusing particularly on carbon neu…
Urban spatial dynamic modeling based on urban amenity data to inform smart city planning
An ideal form of smart city planning would focus on the availability of urban amenities that can meet the basic needs of a resident's material life, civil connections, and humanistic spirit. Previous studies have concentrated on analyzing the spatial distribution of urban services, with less attention on their contribution as local urban amenities. In this study, we propose a spatial dynamic modeling approach based on urban amenities using social…
Incorporating active transportation modes in large scale urban modeling to inform sustainable urban development
Participatory Development of Planning Support Systems to Improve Empowerment and Localization
We propose a participatory development process to address critiques of Planning Support Systems (PSS) that focus on their shortcomings of the empowerment of stakeholders and the contextualization in implementation. The process we are presenting involves stakeholders from the early stage of goal-defining and model building. We evaluate an empirical application with a coupled land-use and economic impact assessment PSS for a project in a township o…
Planning Support for Smart Cities in the Post-Covid Era
How neighborhood conditions and policy incentives affect relocation outcomes of households from low-income neighborhoods—Evidence from intra-city movement trajectories
What does urban informatics add to planning support technology
An urban informatics approach to understanding residential mobility in Metro Chicago
This paper proposes that urban informatics can represent a flow of information from diverse and voluminous data into and back from the planning process. We present a proof-of-concept of how an urban informatics approach can improve public understanding of essential information in the planning process, and we propose a theoretical construct of how it can make planning processes more democratic and participatory, especially for disadvantaged groups…
Discerning the success of sustainable planning: A comparative analysis of urban heat island dynamics in Korean new towns
Understanding interactions between urban development policies and GHG emissions: A case study in Stockholm Region
Human-induced urban growth and sprawl have implications for greenhouse gas (GHG) emissions that may not be included in conventional GHG accounting methods. Improved understanding of this issue requires use of interactive, spatial-explicit social–ecological systems modeling. This paper develops a comprehensive approach to modeling GHG emissions from urban developments, considering Stockholm County, Sweden as a case study. GHG projections to 2040 w…
Moving beyond the neighborhood: Daily exposure to nature and adolescents’ mood
Urban Resilience and Planning Support Systems: The Need for Sentience
Developing resilience in built human environments is a complex undertaking. It requires decision support tools that can convey complexities in meaningful and understandable ways. Building smart cities and generating big data, however, is not enough. In order to improve decision-making and ultimately inform resilient communities we need to be able to translate big data at scales and in ways that are useful and approachable. In this paper we argue …
Effective or ephemeral? The role of energy information dashboards in changing occupant energy behaviors
Parsing density changes: An outcome-oriented growth management policy analysis
Spatial dynamic modeling and urban land use transformation: A simulation approach to assessing the costs of urban sprawl
Understanding interactions between urban development policies and GHG emissions: A case study in Stockholm Region
Human-induced urban growth and sprawl have implications for greenhouse gas (GHG) emissions that may not be included in conventional GHG accounting methods. Improved understanding of this issue requires use of interactive, spatial-explicit social–ecological systems modeling. This paper develops a comprehensive approach to modeling GHG emissions from urban developments, considering Stockholm County, Sweden as a case study. GHG projections to 2040 w…
Effective or ephemeral? The role of energy information dashboards in changing occupant energy behaviors
How neighborhood conditions and policy incentives affect relocation outcomes of households from low-income neighborhoods—Evidence from intra-city movement trajectories
Urban spatial dynamic modeling based on urban amenity data to inform smart city planning
An ideal form of smart city planning would focus on the availability of urban amenities that can meet the basic needs of a resident's material life, civil connections, and humanistic spirit. Previous studies have concentrated on analyzing the spatial distribution of urban services, with less attention on their contribution as local urban amenities. In this study, we propose a spatial dynamic modeling approach based on urban amenities using social…
Spatial dynamic modeling and urban land use transformation: A simulation approach to assessing the costs of urban sprawl
Parsing density changes: An outcome-oriented growth management policy analysis
Effective or ephemeral? The role of energy information dashboards in changing occupant energy behaviors
Urban Resilience and Planning Support Systems: The Need for Sentience
Developing resilience in built human environments is a complex undertaking. It requires decision support tools that can convey complexities in meaningful and understandable ways. Building smart cities and generating big data, however, is not enough. In order to improve decision-making and ultimately inform resilient communities we need to be able to translate big data at scales and in ways that are useful and approachable. In this paper we argue …
Moving beyond the neighborhood: Daily exposure to nature and adolescents’ mood
What does urban informatics add to planning support technology
An urban informatics approach to understanding residential mobility in Metro Chicago
This paper proposes that urban informatics can represent a flow of information from diverse and voluminous data into and back from the planning process. We present a proof-of-concept of how an urban informatics approach can improve public understanding of essential information in the planning process, and we propose a theoretical construct of how it can make planning processes more democratic and participatory, especially for disadvantaged groups…
Discerning the success of sustainable planning: A comparative analysis of urban heat island dynamics in Korean new towns
Understanding interactions between urban development policies and GHG emissions: A case study in Stockholm Region
Human-induced urban growth and sprawl have implications for greenhouse gas (GHG) emissions that may not be included in conventional GHG accounting methods. Improved understanding of this issue requires use of interactive, spatial-explicit social–ecological systems modeling. This paper develops a comprehensive approach to modeling GHG emissions from urban developments, considering Stockholm County, Sweden as a case study. GHG projections to 2040 w…
How neighborhood conditions and policy incentives affect relocation outcomes of households from low-income neighborhoods—Evidence from intra-city movement trajectories
Incorporating active transportation modes in large scale urban modeling to inform sustainable urban development
Participatory Development of Planning Support Systems to Improve Empowerment and Localization
We propose a participatory development process to address critiques of Planning Support Systems (PSS) that focus on their shortcomings of the empowerment of stakeholders and the contextualization in implementation. The process we are presenting involves stakeholders from the early stage of goal-defining and model building. We evaluate an empirical application with a coupled land-use and economic impact assessment PSS for a project in a township o…
Planning Support for Smart Cities in the Post-Covid Era
Urban spatial dynamic modeling based on urban amenity data to inform smart city planning
An ideal form of smart city planning would focus on the availability of urban amenities that can meet the basic needs of a resident's material life, civil connections, and humanistic spirit. Previous studies have concentrated on analyzing the spatial distribution of urban services, with less attention on their contribution as local urban amenities. In this study, we propose a spatial dynamic modeling approach based on urban amenities using social…
Multi-scaled green infrastructure optimization: Spatial projections and assessment for dynamic planning and design
Transitioning complex socioeconomic modeling to informed and visualized decision-making: A tightly coupled planning support system
AI Analytics for Carbon-Neutral City Planning: A Systematic Review of Applications
Artificial intelligence (AI) has become a transformative force across various disciplines, including urban planning. It has unprecedented potential to address complex challenges. An essential task is to facilitate informed decision making regarding the integration of constantly evolving AI analytics into planning research and practice. This paper presents a review of how AI methods are applied in urban studies, focusing particularly on carbon neu…
Geography (12 works) · Environmental planning (10 works) · Computer Science (9 works) · Engineering (9 works) · Land Use and Ecosystem Services (8 works) · Business (6 works) · Civil engineering (5 works) · Environmental resource management (5 works) · Environmental Science (5 works) · Human Mobility and Location-Based Analysis (5 works)