Smarter Shrinkage: a Neighborhood-Scaled Rightsizing Strategy Based on Land Use Dynamics

Newman, Galen; Hollander, Justin B.; Lee, Jaekyung; Gu, Donghwan; Kim, Boah; Lee, Ryun Jung; Horney, Jennifer A.; Bearfield, Domonic A.; Li, Yuxian

doi:10.1007/s41651-018-0018-6

Cited by 24 publications

(12 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Arid and semi-arid land take up more than 30% of the land surface in global 5 and 22% of the land surface in China 6 . Due to climate change, the unreasonable artificial activities, and the character of its own vulnerability, these regions suffered a large impact, thus becoming more sensitive to changes in environmental conditions 7 – 9 . Although the oases area in China takes up around 5% of the total arid and semi-arid area, the most population (90%) and social wealth (95%) in this area are concentrated in oases 10 , 11 .…”

Section: Introductionmentioning

confidence: 99%

The constraints and driving forces of oasis development in arid region: a case study of the Hexi Corridor in northwest China

Bie

Xie

2020

Sci Rep

View full text Add to dashboard Cite

The oasis, a special landscape with the integration of nature and humanity in the arid region, has undergone an enormous transformation during the past decades. To gain a better understanding of the tradeoff between economic growth and oases stability in the arid land, we took the oases in the Hexi Corridor as a case to explore the constraints of oases development and the driving factors of oases expansion. The dynamic changes and spatial distribution patterns underwent by the oases were examined using multispectral remote sensing imagery. The constraints of oasis development in arid land were investigated by the grid-transformed model, as well as the index system of driving forces was analyzed using the grey incidence model based on the data from statistics yearbooks. The oasis area in the Hexi Corridor had tremendous changes expanded 40% from 1986 to 2015, the stable oasis area was 9062 km2, while the maximum area reached 16,374 km2. The constraints for oases of topography, hydrology and heat condition are as follow: The elevation of oasis ranged from 1000 to 1800 m, peaked in 1500 m; the slope of oasis distribution was flatter than 3 degrees; the aspect of oases on slope land concentrated in northeast and north, accounting for more than 60%. The main driving forces of oasis spatial expansion in the arid region were population, water resource, economy, policies, and other factors. These results are expected to (1) improve the rationality of oasis development, and (2) promote the sustainable planning and management of oases in the arid land.

show abstract

Section: Introductionmentioning

confidence: 99%

The constraints and driving forces of oasis development in arid region: a case study of the Hexi Corridor in northwest China

Bie

Xie

2020

Sci Rep

View full text Add to dashboard Cite

show abstract

“…As a result, cities are now looking for ways to more intelligently inventory and manage shrinking neighbourhoods through "Smart Shrinkage". The contribution of Newman et al (2018) examines current approaches to managing empty urban land through case evaluations and uses the results to develop an applied strategy of smart shrinkage for the conversion of empty land. Using land use forecasts, future development is first modelled and a GISsupported development suitability model is used to evaluate options for action down to the parcel level.…”

Section: Planning Decision Support and Participationmentioning

confidence: 99%

Innovative Approaches, Tools and Visualization Techniques for Analysing Land Use Structures and Dynamics of Cities and Regions (Editorial)

2020

View full text Add to dashboard Cite

Geospatial analysis and visualisation can be used to gain knowledge about land use structure and its changes on different spatial scales, which in turn is key to unlock the potential for sustainable land use development. This editorial provides a frame to a set of papers of the topical collection "Innovative approaches, tools and visualization techniques for analyzing land use structures and dynamics of cities and regions", which was initiated in conjunction with the 2017 International Land Use Symposium taken place in Dresden, Germany. It first introduces current, urging land use, development and management challenges. Further on, the editorial presents the individual contributions and reflects their affiliation to the themes "Mapping and Monitoring Approaches" and "Planning, Decision Support and Participation". Although the objectives, methods and underlying data used in the papers of this topical collection greatly vary, as pieces of a puzzle they contribute to a better analysis and understanding of current and future land use structures and dynamics of cities and regions.

show abstract

“…Owing to the limited energy reserves and occurrence of severe environment problems, energy conservation has become a major concern [3]. Because of the continuous urban expansion, the energy consumption for urban lighting has increased rapidly [4], [5]. According to the National Energy Administration statistics, the annual electricity consumption for urban lighting accounts for 4% to 5% of the total electricity consumption in China [6].…”

Section: Introductionmentioning

confidence: 99%

Automated Extraction of Street Lights From JL1-3B Nighttime Light Data and Assessment of Their Solar Energy Potential

Cheng

Chen

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

To realize energy conservation and environmental protection, solar street lights have been widely used in urban areas in China. To reasonably and effectively utilize solar street lights, the original street lights must be located, and the solar street light potential must be assessed. The Jilin1-03B (JL1-3B) satellite provides next-generation nighttime light data with a high spatial resolution and in three spectral bands. Consequently, the street lights can be extracted from the nighttime light data. We used the road network dataset from the open street map with a specific buffer to extract the road area as a constraint region. Next, the grayscale brightness of JL1-3B images was obtained by integrating all the three bands to locate the street light by using a local maximum algorithm. Then, the values of the original three bands were utilized to classify the types of street lights as high-pressure sodium (HPS) lamps or light-emitting diode lamps. Finally, we simulated the replacement of all the HPS lamps with solar street lights and assessed the corresponding solar energy potential by using the digital surface model data and hourly cloud cover data through the SHORTWAVE-C model. The accuracy of location of the street lights was approximately 90%. Replacing an HPS lamp by one solar street light for 20 years can save 1.85 × 10 4 kWh of electrical energy, 7.41 t of standard coal, 5.03 t of C emissions, 18.47 t of CO 2 emissions, 0.55 t of SO 2 emissions, and 0.28 t of NO X emissions.

show abstract

Smarter Shrinkage: a Neighborhood-Scaled Rightsizing Strategy Based on Land Use Dynamics

Cited by 24 publications

References 38 publications

The constraints and driving forces of oasis development in arid region: a case study of the Hexi Corridor in northwest China

The constraints and driving forces of oasis development in arid region: a case study of the Hexi Corridor in northwest China

Innovative Approaches, Tools and Visualization Techniques for Analysing Land Use Structures and Dynamics of Cities and Regions (Editorial)

Automated Extraction of Street Lights From JL1-3B Nighttime Light Data and Assessment of Their Solar Energy Potential

Contact Info

Product

Resources

About