TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Wuit Yee Kyaw, Hnin
A1  - Chatzidimitriou, Angeliki
A1  - Hellwig, Jocelyne
A1  - Bühler, Michael Max
A1  - Hawlik, Johannes
A1  - Herrmann, Michael
T1  - Multifactorial Evaluation of Spatial Suitability and Economic Viability of Light Green Bridges Using Remote Sensing Data and Spatial Urban Planning Criteria
JF  - Remote sensing
N2  - Multi-faceted stresses of social, environmental, and economic nature are increasingly challenging the existence and sustainability of our societies. Cities in particular are disproportionately threatened by global issues such as climate change, urbanization, population growth, air pollution, etc. In addition, urban space is often too limited to effectively develop sustainable, nature-based solutions while accommodating growing populations. This research aims to provide new methodologies by proposing lightweight green bridges in inner-city areas as an effective land value capture mechanism. Geometry analysis was performed using geospatial and remote sensing data to provide geometrically feasible locations of green bridges. A multi-criteria decision analysis was applied to identify suitable locations for green bridges investigating Central European urban centers with a focus on German cities as representative examples. A cost-benefit analysis was performed to assess the economic feasibility using a case study. The results of the geometry analysis identified 3249 locations that were geometrically feasible to implement a green bridge in German cities. The sample locations from the geometry analysis were proved to be validated for their implementation potential. Multi-criteria decision analysis was used to select 287 sites that fall under the highest suitable class based on several criteria. The cost-benefit analysis of the case study showed that the market value of the property alone can easily outweigh the capital and maintenance costs of a green bridge, while the indirect (monetary) benefits of the green space continue to increase the overall value of the green bridge property including its neighborhood over time. Hence, we strongly recommend light green bridges as financially sustainable and nature-based solutions in cities worldwide.
KW  - Green bridge
KW  - Remote sensing
KW  - GIS
KW  - 3D urban planning
KW  - MCDA
KW  - Cost-benefit analysis
KW  - Financial sustainability
KW  - Sustainable infrastructure
KW  - Land value capture
Y1  - 2023
SN  - 2072-4292
SS  - 2072-4292
U6  - https://doi.org/10.3390/rs15030753
DO  - https://doi.org/10.3390/rs15030753
N1  - Corresponding author: Wuit Yee Kyaw, Hnin
VL  - 15
IS  - 3
SP  - 27
S1  - 27
PB  - MDPI
CY  - Basel
ER  -