Evaluation of and Reconnection to Open Space: The Chicago Strip
Abstract
:1. Introduction
1.1. Chicago River
1.1.1. History of the Chicago River
1.1.2. Accessibility: The River as a Link
1.1.3. Inaccessibility: The River as a Hindrance
1.1.4. The Current Situation of the Riverbanks
2. Materials and Methods
Evaluation of Accessibility
3. Results
3.1. Surveying the Open Spaces
3.2. Identifying Areas with Low Connectivity
3.3. Design Reference: The Las Vegas Strip
3.4. Design Exploration: To Build a Better Connection
4. Discussion
4.1. Reflection and Improvement of the Evaluation System
4.2. Design Reflection and the Attempt Based on “Research by Design”
5. Conclusions
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Evaluation Framework | Analytic Hierarchy Process (AHP) Framework | User Experience-Based Framework | Sustainable Development Framework |
---|---|---|---|
Theoretical Basis | Systems engineering and decision-making science, the principle of problem-layering and comparison. | Environmental psychology, behavior science, the theory of the relationship between behavior and environment. | Sustainable development theory, coordinated development of economy, society, and environment. |
Application Scope | Public space planning, ranking, urban planning, and other fields. | All types of public spaces, especially those emphasizing user participation. | Urban public space planning and large-scale project evaluation. |
Analysis Methods | Experts score, construct matrices, and require consistency checks. | Questionnaires, observations, interviews, and data collation and analysis. | Gather multi-faceted data and conduct in-depth comprehensive analysis. |
Advantages | Highly systematic, able to decompose problems, combines qualitative and quantitative methods, and requires less data. | User-centered, diverse methods, and can identify problems. | Comprehensive evaluation, in line with sustainable development, of strategic significance, and conducive to management. |
Disadvantages | Unable to generate new schemes, large workload, subjective weighting, and complex calculations. | Time-consuming and labor-intensive, large individual differences in data, limited for complex systems. | Complex indicator system, difficult to unify standards, and issues of balancing interests. |
Evaluation Framework | Ratio Method | Nearest Distance Method | Method Based on Cumulative Opportunities | Method Based on Spatial Interaction |
---|---|---|---|---|
Theoretical Basis | Based on the concept of resource allocation ratio, reflecting the overall situation by total ratio. | Based on the principle of the shortest distance, believing that people are more inclined to choose the nearest facility. | Based on cumulative opportunities, the more resources within a certain range, the better the accessibility. | Based on spatial interaction theory, the accessibility of service resources is affected by multiple factors. |
Application Scope | Suitable for preliminary analysis of larger research units and macro assessment of various facilities. | Mainly used for the assessment of smaller research units, especially for emergency facilities such as first aid stations. | Suitable for the assessment of non-emergency facilities in smaller research units such as leisure parks. | Suitable for the assessment of non-emergency facilities in smaller research units such as cultural venues. |
Analysis Methods | Collect data on the total amount of service resources and the total population served in the research unit and obtain the ratio through simple calculation. | Measure or calculate the straight-line distance, road distance or time distance between the service population and the nearest facility. | Set the travel limit time or distance and count the number of public service resources that can be obtained starting from a certain point. | Collect relevant data such as facilities, demanders, and spatial barriers. Use the model to calculate the difficulty of obtaining specific service resources. |
Advantages | Simple calculation and easy to understand. It can quickly show the relationship between the total amount of service resources and the total population served. | Simple operation and intuitive. Can quickly determine the distance from the service population to the nearest facility. | Comprehensively considers factors such as facilities, demanders, and spatial barriers. Can reflect the number of service resources that can be obtained within a certain range. | Comprehensively considers factors such as facilities, demanders, spatial barriers, and distance attenuation. The assessment is relatively accurate. |
Disadvantages | Cannot reflect the differences in accessibility within the research unit. Does not consider spatial barrier factors. The result is relatively rough. | Only considers distance and ignores factors such as the quantity and quality of services. | Does not consider distance attenuation. It is difficult to determine the travel limit time or distance. | It is difficult to determine the travel friction coefficient. The model is more complex and difficult to understand. |
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Lu, W.; De Maeseneer, M. Evaluation of and Reconnection to Open Space: The Chicago Strip. Sustainability 2025, 17, 2457. https://doi.org/10.3390/su17062457
Lu W, De Maeseneer M. Evaluation of and Reconnection to Open Space: The Chicago Strip. Sustainability. 2025; 17(6):2457. https://doi.org/10.3390/su17062457
Chicago/Turabian StyleLu, Wenchang, and Martine De Maeseneer. 2025. "Evaluation of and Reconnection to Open Space: The Chicago Strip" Sustainability 17, no. 6: 2457. https://doi.org/10.3390/su17062457
APA StyleLu, W., & De Maeseneer, M. (2025). Evaluation of and Reconnection to Open Space: The Chicago Strip. Sustainability, 17(6), 2457. https://doi.org/10.3390/su17062457