Ecologies of Waiting: Stories of a Vacant Land

2021 ◽  
pp. 117-128
Keyword(s):  
2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Rui Zhu ◽  
Galen Newman

AbstractThere has been mounting interest about how the repurposing of vacant land (VL) through green infrastructure (the most common smart decline strategy) can reduce stormwater runoff and improve runoff quality, especially in legacy cities characterized by excessive industrial land uses and VL amounts. This research examines the long-term impacts of smart decline on both stormwater amounts and pollutants loads through integrating land use prediction models with green infrastructure performance models. Using the City of St. Louis, Missouri, USA as the study area, we simulate 2025 land use change using the Conversion of Land Use and its Effects (CLUE-S) and Markov Chain urban land use prediction models and assess these change’s probable impacts on urban contamination levels under different smart decline scenarios using the Long-Term Hydrologic Impact Assessment (L-THIA) performance model. The four different scenarios are: (1) a baseline scenario, (2) a 10% vacant land re-greening (VLRG) scenario, (3) a 20% VLRG scenario, and (4) a 30% VLRG scenario. The results of this study illustrate that smart decline VLRG strategies can have both direct and indirect impacts on urban stormwater runoff and their inherent contamination levels. Direct impacts on urban contamination include the reduction of stormwater runoff and non-point source (NPS) pollutants. In the 30% VLRG scenario, the annual runoff volume decreases by 11%, both physical, chemical, and bacterial pollutants are reduced by an average of 19%, compared to the baseline scenario. Indirect impacts include reduction of the possibility of illegal dumping on VL through mitigation and prevention of future vacancies.


2019 ◽  
Vol 109 (1) ◽  
pp. 140-144 ◽  
Author(s):  
Ruth Moyer ◽  
John M. MacDonald ◽  
Greg Ridgeway ◽  
Charles C. Branas

SINERGI ◽  
2021 ◽  
Vol 25 (3) ◽  
pp. 245
Author(s):  
Diana Ayudya ◽  
Mona Anggiani

In cities, spaces were intentionally formed, planned, or unintentionally unplanned. Unlike planned spaces, unplanned spaces in urban areas eventually tend to cause problems for the area. These spaces were referred to as residual spaces, which were generally vacant land or open space in various urban spaces. Urban residual space was also commonly found in tertiary activity centers in big cities like Jakarta, one of which was in the trade and service area of the city. Residual space in such areas grew and developed due to dense activity within the area, resulting building density, irregularity in some spatial use and environmental degradation. Due such conditions, several questions are significant to be raised.  What are the typology, utilization, and its impacts on the area? Did it only cause a problem, or could it be a solution to problems within the area? This study aimed to examine the typology of residual space based on the shape, location, utilization, and impact of trade and service activities in South Jakarta, Kebayoran Lama area. The proposed approach used was a qualitative study of the residual spaces in predetermined trade and commercial areas. The study results of the physical, spatial, visual, and social conditions of urban residual space were explained descriptively to get a picture of the characteristics of the form, location, utilization, and impact on the area.


2021 ◽  
Vol 331 ◽  
pp. 06004
Author(s):  
Bambang Sujatmoko ◽  
Rangga Fernando ◽  
Andy Hendri

Floods in Pekanbaru City have often hit the region along the Siak river, including the Rumbai subdistrict. Disasters such as floods have detrimental impacts on society, including a massive loss of lives. However, several strategies can minimize the impacts of flooding, including making a plan evacuation route mapping with Geographic Information Systems (GIS). This is a planning-based analysis of data using the algorithm djikstra for result pathways for efficient and effective evacuation. The evacuation routes involve seven simulation parameter modeling, specifically flood, length path, wide roads, road conditions, road materials, presence or absence of bridges, and the road’s direction. These parameters are processed using algoritma djikstra to generate the appropriate evacuation routes based on study area conditions. The analysis focuses on one evacuation route in Palas and the other six in Sri Meranti Village. The routes in Palas Village lead to the evacuation place of the Al-Jihad Mosque, while those in Sri Meranti Village heads to Al-Ikhlas Mosque, MDA Aula Rumbai, Nurul Haq Mosque, M Nurul Mosque, vacant land, and Stadium Parking Area.


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