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1

Wo, James C. "Mixed land use and neighborhood crime." Social Science Research 78 (February 2019): 170–86. http://dx.doi.org/10.1016/j.ssresearch.2018.12.010.

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LOUW, ERIK, and FRANK BRUINSMA. "From mixed to multiple land use." Journal of Housing and the Built Environment 21, no. 1 (2006): 1–13. http://dx.doi.org/10.1007/s10901-005-9029-y.

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3

Bordoloi, Rupjyoti, Amit Mote, Partha Pratim Sarkar, and C. Mallikarjuna. "Quantification of Land Use Diversity in The Context of Mixed Land Use." Procedia - Social and Behavioral Sciences 104 (December 2013): 563–72. http://dx.doi.org/10.1016/j.sbspro.2013.11.150.

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4

Huang, Shu-Wei, and Hsiu-I. Hsieh. "The Study of the Relationship between Accessibility and Mixed Land Use in Tainan, Taiwan." International Journal of Environmental Science and Development 5, no. 4 (2014): 352–56. http://dx.doi.org/10.7763/ijesd.2014.v5.508.

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5

Raman, Rewati, and Uttam Kumar Roy. "Taxonomy of urban mixed land use planning." Land Use Policy 88 (November 2019): 104102. http://dx.doi.org/10.1016/j.landusepol.2019.104102.

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6

Harper, Carolyn R., William J. Goetz, and Cleve E. Willis. "Groundwater protection in mixed land-use aquifers." Environmental Management 16, no. 6 (1992): 777–83. http://dx.doi.org/10.1007/bf02645668.

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7

Ghosh, Poulomee Arun, and Pratap M. Raval. "Modelling urban mixed land-use prediction using influence parameters." GeoScape 15, no. 1 (2021): 66–78. http://dx.doi.org/10.2478/geosc-2021-0006.

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Abstract Mixed land-use is a popular concept in urban planning due to its expected role in improving environmental sustainability as well as citizen’s quality of life. Land use planning and regulations are not stringent in many cities like those in India, and policies are liberal towards mixed land uses. In these cities, mixed land-uses are a natural phenomenon manifesting under various influencing parameters. However, for studies on mixed land-uses, these cities pose data insufficiency challenges, as vital comprehensive spatial information related to land-uses is not available. Moreover, there is no standardised methodology established to assess the spatial distribution of mixed land-uses at the city level. This research has developed a GIS-based model using Weighted Overlay Analysis to predict and visualise the probability of mixed land-use at the macro or city level for the case of Pune, India. The model uses the easily available spatial data of influencing parameters of mixed land-use as input for prediction instead of comprehensive real land-use data. The model is validated by comparing the predicted mixed land-use intensities with established indicators of mixed land-use for four neighbourhoods. It is found that parameters that influence mixed land-use such as connectivity, grain pattern, population density and access to amenities can be used to predict the probability of mixed land-use. Around 35 per cent of the city area of Pune has more than 0.67 probability of mixed land-use. The model can produce the probable mixed land-use distribution across the city and can be used to compute mixed land-use intensities for neighbourhoods. Highlights for public administration, management and planning: • Mixed land-use probability distribution for Pune City, India is generated using Weighted Overlay Analysis in GIS. • As vital spatial data of land-use was unavailable, the prediction model uses data of influencing parameters of mixed land-uses such as population density, connectivity, grain pattern and access to amenities. • The mixed land-use probabilities predicted can be used to compute mixed land-use intensities of neighbourhoods. It is validated by comparing with traditional mixed land-use indicators.
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8

Alourafi, Samir Nori, and Areaj Khairy Alrawi. "Equation of mixed land use that achieve sustainability." IOP Conference Series: Materials Science and Engineering 737 (March 6, 2020): 012180. http://dx.doi.org/10.1088/1757-899x/737/1/012180.

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9

Zahnow, Renee. "Mixed Land Use: Implications for Violence and Property Crime." City & Community 17, no. 4 (2018): 1119–42. http://dx.doi.org/10.1111/cico.12337.

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This study investigates the effect of mixed land use on violence and property crime in neighborhood block groups while simultaneously considering the presence of criminogenic facilities and sociodemographic conditions. We conduct negative binomial regression to examine the relationship between mixed land use and crime and investigate whether the relationship is moderated by sociodemographic characteristics or the presence of criminogenic facilities. The results suggest that mixed land use may reduce property crime while violent crime is influenced by mixed land use in nearby neighborhoods. There was an additional effect of the presence of particular facilities, notably bars, transportation stations, schools, stores, and gas stations in the neighborhood. There was some evidence that the impact of land use mix on crime varies dependent on residential mobility, ethnic diversity and the presence of bars, transport stations, and schools. Our findings indicate that those responsible for planning urban spaces and developing land use policies should consider differential effects of land use characteristics across neighborhood contexts.
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10

Petersen, Fritz, and Jason A. Hubbart. "Advancing Understanding of Land Use and Physicochemical Impacts on Fecal Contamination in Mixed-Land-Use Watersheds." Water 12, no. 4 (2020): 1094. http://dx.doi.org/10.3390/w12041094.

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Understanding mixed-land-use practices and physicochemical influences on Escherichia (E.) coli concentrations is necessary to improve water quality management and human health. Weekly stream water samples and physicochemical data were collected from 22 stream gauging sites representing varying land use practices in a contemporary Appalachian watershed of the eastern USA. Over the period of one annual year, Escherichia (E.) coli colony forming units (CFU) per 100 mL were compared to physicochemical parameters and land use practices. Annual average E. coli concentration increased by approximately 112% from acid mine drainage (AMD) impacted headwaters to the lower reaches of the watershed (approximate averages of 177 CFU per 100 mL vs. 376 CFU per 100 mL, respectively). Significant Spearman’s correlations (p < 0.05) were identified from analyses of pH and E. coli concentration data representing 77% of sample sites; thus highlighting legacy effects of historic mining (AMD) on microbial water quality. A tipping point of 25–30% mixed development was identified as leading to significant (p < 0.05) negative correlations between chloride and E. coli concentrations. Study results advance understanding of land use and physicochemical impacts on fecal contamination in mixed-land-use watersheds, aiding in the implementation of effective water quality management practices and policies.
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11

Yamada, Ikuho, Barbara B. Brown, Ken R. Smith, Cathleen D. Zick, Lori Kowaleski-Jones, and Jessie X. Fan. "Mixed Land Use and Obesity: An Empirical Comparison of Alternative Land Use Measures and Geographic Scales." Professional Geographer 64, no. 2 (2012): 157–77. http://dx.doi.org/10.1080/00330124.2011.583592.

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12

Perillo, Vanesa L., Barbara J. Cade‐Menun, Monika Ivancic, Donald S. Ross, and Beverley C. Wemple. "Land use and landscape position influence soil organic phosphorus speciation in a mixed land use watershed." Journal of Environmental Quality 50, no. 4 (2021): 967–78. http://dx.doi.org/10.1002/jeq2.20237.

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13

Kim, Danya, and Jangik Jin. "The Effect of Land Use on Housing Price and Rent: Empirical Evidence of Job Accessibility and Mixed Land Use." Sustainability 11, no. 3 (2019): 938. http://dx.doi.org/10.3390/su11030938.

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Recently, the improvement of job accessibility and the encouragement of mixed land use have been gaining popularity in the planning field. However, little is known about whether these two factors are able to meet housing consumers’ needs. This study aims to analyze how job accessibility and mixed land use satisfy housing consumers’ needs. Particularly, this study investigates housing consumers’ willingness to pay for these two features by using housing prices and rents in the Chicago metropolitan area. In order to deal with endogeneity between land use and housing prices and spatial autocorrelation between housing prices, spatial econometric models are used with instrumental variables. Interestingly, our findings show that an increase in job accessibility leads to an increase in housing prices, whereas it is not related to rents. We also found that mixed land use decreases housing prices, but increases rents.
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14

McDonald, John F. "A Model of Mixed Land Use in Urban Areas." Theoretical Economics Letters 02, no. 01 (2012): 94–100. http://dx.doi.org/10.4236/tel.2012.21018.

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15

Nelson, Erin J., and Derek B. Booth. "Sediment sources in an urbanizing, mixed land-use watershed." Journal of Hydrology 264, no. 1-4 (2002): 51–68. http://dx.doi.org/10.1016/s0022-1694(02)00059-8.

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16

Brisbois, Marie Claire, Rob Jamieson, Robert Gordon, Glenn Stratton, and Ali Madani. "Stream ecosystem health in rural mixed land-use watersheds." Journal of Environmental Engineering and Science 7, no. 5 (2008): 439–52. http://dx.doi.org/10.1139/s08-016.

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17

Wu, Wei, and Yong Zheng. "Discussion on Land Use Planning of Modern Mixed-Use Industrial Parks - A Case Study of Sino-Singapore Guangzhou Knowledge City (SSGKC)." Advanced Materials Research 598 (November 2012): 224–28. http://dx.doi.org/10.4028/www.scientific.net/amr.598.224.

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Mixed-use industrial park represents a new development approach of the modern industrial parks. Complying with this tendency, the land use planning of Sino-Singapore Guangzhou Knowledge City (SSGKC) proposes land relevance, non-interference and proportion control principles; discusses various mixing-use modes of commercial service land, residential land and industrial land. The plan also put forward a new type of cluster using layout to enhance the mixed land uses and eventually shape up a new industrial park that well integrates city with Industrial Park and industry with residence.
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18

Jacobs-Crisioni, Chris, Piet Rietveld, Eric Koomen, and Emmanouil Tranos. "Evaluating the Impact of Land-Use Density and Mix on Spatiotemporal Urban Activity Patterns: An Exploratory Study Using Mobile Phone Data." Environment and Planning A: Economy and Space 46, no. 11 (2014): 2769–85. http://dx.doi.org/10.1068/a130309p.

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Dense and mixed land-use configurations are assumed to encourage high and prolonged activity levels, which in turn are considered to be important for the condition of urban neighbourhoods. We used mobile phone usage data recorded in Amsterdam, the Netherlands, as a proxy for urban activity to test whether the density in different forms of urban land use increases the level of activity in urban areas, and whether mixed land uses can prolong high levels of activity in an area. Our results indicate that higher densities correspond with higher activity levels, mixed land uses do indeed diversify urban activity dynamics and colocating particular land uses prolongs high activity levels in the evening hours. We proceed to demonstrate that mixed activity provisions and high urban activity levels coincide with urban neighbourhoods that are considered attractive places in which to live and work, while lower activity levels and markedly low activity mixes coincide with neighbourhoods that are considered disadvantaged.
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19

Paule-Mercado, M. A., B. Y. Lee, S. A. Memon, S. R. Umer, I. Salim, and C. H. Lee. "Influence of land development on stormwater runoff from a mixed land use and land cover catchment." Science of The Total Environment 599-600 (December 2017): 2142–55. http://dx.doi.org/10.1016/j.scitotenv.2017.05.081.

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20

Brown, Barbara B., Ikuho Yamada, Ken R. Smith, Cathleen D. Zick, Lori Kowaleski-Jones, and Jessie X. Fan. "Mixed land use and walkability: Variations in land use measures and relationships with BMI, overweight, and obesity." Health & Place 15, no. 4 (2009): 1130–41. http://dx.doi.org/10.1016/j.healthplace.2009.06.008.

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21

Wang, De, Zhenxuan Yin, and Xiaotian Yu. "International Experience of Mixed Land Use: Models, Measures and Effects." Urban Planning International 34, no. 6 (2019): 79–85. http://dx.doi.org/10.22217/upi.2018.312.

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22

McCormack, Edward, G. Scott Rutherford, and Martina G. Wilkinson. "Travel Impacts of Mixed Land Use Neighborhoods in Seattle, Washington." Transportation Research Record: Journal of the Transportation Research Board 1780, no. 1 (2001): 25–32. http://dx.doi.org/10.3141/1780-04.

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23

Delogu, Orlando E. "Land Use and Vested Rights: Mixed Law and Policy Issues." Land Use Law & Zoning Digest 41, no. 1 (1989): 3–5. http://dx.doi.org/10.1080/00947598.1989.10395157.

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24

Shirmohammadi, Adel, Kwang S. Yoon, and William L. Magette. "Water quality in a mixed land use watershed‐piedmont region." Journal of Environmental Science and Health . Part A: Environmental Science and Engineering and Toxicology 31, no. 2 (1996): 429–50. http://dx.doi.org/10.1080/10934529609376366.

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25

Fox, Jeffrey L. "EPA releases land-use rule for biofuels to mixed reception." Nature Biotechnology 28, no. 4 (2010): 304. http://dx.doi.org/10.1038/nbt0410-304.

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26

Koster, Hans R. A., and Jan Rouwendal. "THE IMPACT OF MIXED LAND USE ON RESIDENTIAL PROPERTY VALUES*." Journal of Regional Science 52, no. 5 (2012): 733–61. http://dx.doi.org/10.1111/j.1467-9787.2012.00776.x.

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27

Nabil, Noha Ahmed, and Gehan Elsayed Abd Eldayem. "Influence of mixed land-use on realizing the social capital." HBRC Journal 11, no. 2 (2015): 285–98. http://dx.doi.org/10.1016/j.hbrcj.2014.03.009.

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28

Coulter, Chris B., Randy K. Kolka, and James A. Thompson. "WATER QUALITY IN AGRICULTURAL, URBAN, AND MIXED LAND USE WATERSHEDS." Journal of the American Water Resources Association 40, no. 6 (2004): 1593–601. http://dx.doi.org/10.1111/j.1752-1688.2004.tb01608.x.

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29

ZHANG, Bai-lin, Jia-cheng QIAN, and Wei-min CAI. "Discussion on mixed use of rural residential land research framework." JOURNAL OF NATURAL RESOURCES 35, no. 12 (2020): 2929. http://dx.doi.org/10.31497/zrzyxb.20201209.

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30

Long, Ying, and Xingjian Liu. "Featured Graphic. How Mixed is Beijing, China? A Visual Exploration of Mixed Land Use." Environment and Planning A: Economy and Space 45, no. 12 (2013): 2797–98. http://dx.doi.org/10.1068/a130162g.

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31

Davoudi, N., M. Taleai, and M. Molavi. "SPATIO-TEMPORAL ASSESSMENT OF MIXED LAND-USE IMPACT ON TRAVEL DEMAND." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 299–303. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-299-2019.

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Abstract. Urban mobility pattern studies are one of the interesting issues in GIScience which provide appropriate means for urban transportation planning and management. Mobility across the city has a direct relation with the land-use pattern. This paper investigates the spatio-temporal effect of the land-use mix at street level on urban movement. Taxi pick up and drop-off data in Manhattan was chosen as the sample data in this study. Trips are classified into two parts (weekdays and weekends trips) and then the correlation between mixed land-use and number of trips occurred in different time windows in each street segment, is calculated. Results indicate positive impact and moderate correlation between mixed land-use and number of trips. In streets with high Entropy, homogeneous distribution of the number of trips at each time window for the weekend and non-homogeneous trip distribution for employment and commercial and residential areas for weekday trips was observed. Also, in streets with low Entropy, non-homogeneous trip distribution at different time windows for both weekday and weekend were observed upon to dominant land-use.
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32

Manaugh, Kevin, and Tyler Kreider. "What is mixed use? Presenting an interaction method for measuring land use mix." Journal of Transport and Land Use 6, no. 1 (2013): 63. http://dx.doi.org/10.5198/jtlu.v6i1.291.

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33

Sharmin, Nusrat, Afsana Haque, and Md Monirul Islam. "Generating Alternative Land‐use Allocation for Mixed Use Areas: Multi‐Objective Optimization Approach." Geographical Analysis 51, no. 4 (2018): 448–74. http://dx.doi.org/10.1111/gean.12181.

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34

MacDonald, John M., and Robert J. Stokes. "Gentrification, Land Use, and Crime." Annual Review of Criminology 3, no. 1 (2020): 121–38. http://dx.doi.org/10.1146/annurev-criminol-011419-041505.

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Over the past twenty years, many US cities have seen urban revitalization and population changes associated with an increased desire for urban living among the affluent. As inner-city neighborhoods become gentrified, they are more likely to witness the construction of new buildings and homes, the conversion of industrial spaces to mixed-used developments, expanded access to mass transit, and the arrival of coffee shops and other urban amenities. In this review, we take stock of what is known about the impact of gentrification and land-use changes on neighborhood crime. We summarize research conducted since the period of urban revitalization that started in the 1990s as well as studies that have a quasi-experimental design. We find that gentrification and associated changes to land use tend to reduce crime in neighborhoods. Our findings are tempered by the need for greater conceptual clarity on how to measure when a neighborhood has gentrified and a clearer examination of the spatial displacement of crime. We conclude with a discussion on the need for criminologists to partner with urban planners to study how changes in the land use of cities can be made to generate crime reductions that benefit all places and, finally, detail some promising directions for future research.
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35

Petersen, Fritz, and Jason A. Hubbart. "Spatial and Temporal Characterization of Escherichia coli, Suspended Particulate Matter and Land Use Practice Relationships in a Mixed-Land Use Contemporary Watershed." Water 12, no. 5 (2020): 1228. http://dx.doi.org/10.3390/w12051228.

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Understanding land use practice induced increases in Escherichia (E.) coli and suspended particulate matter (SPM) concentrations is necessary to improve water quality. Weekly stream water samples were collected from 22 stream gauging sites with varying land use practices in a representative contemporary mixed-land use watershed of the eastern USA. Over the period of one annual year, Escherichia (E.) coli colony forming units (CFU per 100 mL) were compared to suspended particulate matter (SPM) concentrations (mg/L) and land use practices. Agricultural land use sub-catchments comprised elevated E. coli concentrations (avg. 560 CFU per 100 mL) compared to proximate mixed development (avg. 330 CFU per 100 mL) and forested (avg. 206 CFU per 100 mL) sub-catchments. Additionally, agricultural land use showed statistically significant relationships (p < 0.01) between annual E. coli and SPM concentration data. Quarterly PCA biplots displayed temporal variability in land use impacts on E. coli and SPM concentrations, with agricultural land use being closely correlated with both pollutants during Quarters 2 and 3 but not Quarters 1 and 4. The data collected during this investigation advance the understanding of land use impacts on fecal contamination in receiving waters, thereby informing land use managers on the best management practices to reduce exposure risks.
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36

Samoilenko, Viktor, and Ivan Dibrova. "Geoecological Situation in Land Use." Environmental Research, Engineering and Management 75, no. 2 (2019): 36–46. http://dx.doi.org/10.5755/j01.erem.75.2.22253.

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The principles for the construction of the scale of geoecological situation in land use were substantiated. This situation is based on the parameter of landscape anthropization extent. The parameter was called a geosituation index. Such index is the area proportion for geoecological positive (or geo-positive) and geoecological negative (or geo-negative) land use and/or land cover (LULC) systems. The first systems are still called in essence nature-accentuated, near-to-nature or simply natural systems. Percents of geo-positive LULC systems' area are also used as a separate parameter additional to the geosituation index. The scale of geosituation concerning land use in model landscapes or other territorial units was developed. Such scale for the first time has the logic-parametric consistency with previously developed scheme of the landscape anthropization extent. The geosituation is classified in the scale by categories. They vary from excessively favorable to catastrophic category. The developed geosituation scale was implemented for the selected megaregion. It includes Ukrainian physic-geographic zones of mixed and broad-leaved forests and forest-steppe and their regions, areas and districts. The digital choropleths were modeled for the geosituation in land use in the areas and districts. The all obtained results indicated the validity and further implementation suitability of proposed geosituation indexes and their scale. The developed approaches can be applied in the territorial schemes and projects of modern environmental management. Keywords: land use, anthropization, landscape, geoecological situation, near-to-nature systems
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37

Chigbu, Ntihinyurwa, de Vries, and Ngenzi. "Why Tenure Responsive Land-Use Planning Matters: Insights for Land Use Consolidation for Food Security in Rwanda." International Journal of Environmental Research and Public Health 16, no. 8 (2019): 1354. http://dx.doi.org/10.3390/ijerph16081354.

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Land use consolidation aims to address food insecurity challenges in Rwanda. However, there is contradictory evidence on whether this tool has met food security objectives or not. This study addresses two questions: How has the land use consolidation improved (or not improved) food security at the local level? How can food security challenges be addressed using a renewed approach to land use consolidation that adopts a tenure responsive land use planning procedure? We investigate these questions in Nyange Sector (in the Musanze District) of Rwanda using mixed research methods. The study generates theoretical and policy relevant outcomes. Theoretically, it links the concept of tenure responsive land-use planning to food security improvements. Policy wise, it provides an operational framework for implementing land use consolidation to make it more responsive to food security (based on tenure responsive land-use planning measures) in Rwanda.
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38

Bramiana, Chely Novia, and Ratih Widiastuti. "Implementing Mixed Land Use Rooting Jane Jacobs’ Concept of Diversity in Urban Sustainability." MODUL 17, no. 1 (2017): 27. http://dx.doi.org/10.14710/mdl.17.1.2017.27-35.

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nowadays, sustainability has become an important issue in any development project, including area development. Thishappen because the area development requires space, in this case land. As people developing land, it damages theenvironment. It means there will be less balance between built environment and natural environment. This calls forconcern in urban sustainability. One of the ways to restore the balance is to reduce as much land as possible to be builtby maximizing the space. This paper will explore the multiple space use in terms of mixed-use development in differentlevel and also assess mixed land use implementation, which include the concept of diversity in urban sustainability
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39

Ashu, Agbortoko, and Sang-Il Lee. "Reuse of Agriculture Drainage Water in a Mixed Land-Use Watershed." Agronomy 9, no. 1 (2018): 6. http://dx.doi.org/10.3390/agronomy9010006.

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Water demand in Korea has triggered the need for fresh water to be used for agriculture. Agricultural drainage water (ADW) is a way of coping with the growing demand for fresh water for agriculture. In this study, a water quality model (WQM), and an algorithm were used in order to determine the water quality and optimize the water reuse quantity in the Osan stream drain, South Korea. The water quality associated with the drain was stimulated using the QUAL2Kw model and the uncertainty analysis and sensitivity analysis with the use of Monte Carlos Simulation was performed to determine the performance of the WQM. Jaya algorithm technology was used as an optimization tool to find optimal ADW reuse quantities at particular withdrawal points. For calibration and validation, the model was applied twice for both summer and winter seasons. The results show that the reuse quantities represent 77.2% and 49.8% of the available ADW in the study area for summer and winter, respectively, representing 49.1% and 54.5% of seasonal canal delivery. The utilization of the simulation-optimization model is usually well suited for decision support leading to near-optimum reuse assortment of ADW for irrigation.
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40

Korbel, K. L., P. J. Hancock, P. Serov, R. P. Lim, and G. C. Hose. "Groundwater Ecosystems Vary with Land Use across a Mixed Agricultural Landscape." Journal of Environmental Quality 42, no. 2 (2013): 380–90. http://dx.doi.org/10.2134/jeq2012.0018.

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41

Rodríguez-Blanco, M. L., M. M. Taboada-Castro, J. J. Keizer, and M. T. Taboada-Castro. "Phosphorus Loss from a Mixed Land Use Catchment in Northwest Spain." Journal of Environmental Quality 42, no. 4 (2013): 1151–58. http://dx.doi.org/10.2134/jeq2012.0318.

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42

Wheaton, William C. "Commuting, congestion, and employment dispersal in cities with mixed land use." Journal of Urban Economics 55, no. 3 (2004): 417–38. http://dx.doi.org/10.1016/j.jue.2003.12.004.

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43

A. Shirmohammadi, K. S. Yoon, and W. L. Magette. "WATER QUALITY IN MIXED LAND-USE WATERSHED—PIEDMONT REGION IN MARYLAND." Transactions of the ASAE 40, no. 6 (1997): 1563–72. http://dx.doi.org/10.13031/2013.21420.

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44

Budd, R., S. Bondarenko, D. Haver, J. Kabashima, and J. Gan. "Occurrence and Bioavailability of Pyrethroids in a Mixed Land Use Watershed." Journal of Environmental Quality 36, no. 4 (2007): 1006–12. http://dx.doi.org/10.2134/jeq2006.0249.

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Zeiger, Sean J., and Jason A. Hubbart. "Nested-Scale Nutrient Flux in a Mixed-Land-Use Urbanizing Watershed." Hydrological Processes 30, no. 10 (2015): 1475–90. http://dx.doi.org/10.1002/hyp.10716.

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46

Kelly, W. R., S. V. Panno, K. C. Hackley, et al. "Bacteria Contamination of Groundwater in a Mixed Land-Use Karst Region." Water Quality, Exposure and Health 1, no. 2 (2009): 69–78. http://dx.doi.org/10.1007/s12403-009-0006-7.

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47

Tufford, Daniel L., and William D. Marshall. "FECAL COLIFORM SOURCE ASSESSMENT IN A SMALL, MIXED LAND USE WATERSHED." Journal of the American Water Resources Association 38, no. 6 (2002): 1625–35. http://dx.doi.org/10.1111/j.1752-1688.2002.tb04369.x.

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48

McIlroy, Susan K., Cliff Montagne, Clain A. Jones, and Brian L. McGlynn. "Identifying Linkages Between Land Use, Geomorphology, and Aquatic Habitat in a Mixed-Use Watershed." Environmental Management 42, no. 5 (2008): 867–76. http://dx.doi.org/10.1007/s00267-008-9166-7.

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49

Du Clos, Brianne, Francis A. Drummond, and Cynthia S. Loftin. "Noncrop Habitat Use by Wild Bees (Hymenoptera: Apoidea) in a Mixed-Use Agricultural Landscape." Environmental Entomology 49, no. 2 (2020): 502–15. http://dx.doi.org/10.1093/ee/nvaa001.

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Abstract Homogeneous, agriculturally intense landscapes have abundant records of pollinator community research, though similar studies in the forest-dominated, heterogeneous mixed-use landscape that dominates the northeastern United States are sparse. Trends of landscape effects on wild bees are consistent across homogeneous agricultural landscapes, whereas reported studies in the northeastern United States have not found this consistency. Additionally, the role of noncrop habitat in mixed-use landscapes is understudied. We assessed wild bee communities in the mixed-use lowbush blueberry (Vaccinium angustifolium Ait.) production landscape of Maine, United States at 56 sites in eight land cover types across two regional landscapes and analyzed effects of floral resources, landscape pattern, and spatial scale on bee abundance and species richness. Within survey sites, cover types with abundant floral resources, including lowbush blueberry fields and urban areas, promoted wild bee abundance and diversity. Cover types with few floral resources such as coniferous and deciduous/mixed forest reduced bee abundance and species richness. In the surrounding landscape, lowbush blueberry promoted bee abundance and diversity, while emergent wetland and forested land cover strongly decreased these measures. Our analysis of landscape configuration revealed that patch mixing can promote wild bee abundance and diversity; however, this was influenced by strong variation across our study landscape. More surveys at intra-regional scales may lead to better understanding of the influence of mixed-use landscapes on bee communities.
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50

Luo, Ya Li, and Chang Xin Zhang. "Research on the Low-Carbon Land Use Pattern." Advanced Materials Research 598 (November 2012): 241–46. http://dx.doi.org/10.4028/www.scientific.net/amr.598.241.

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The paper firstly analyzed the carbon emissions effect of the city land use. Then it put forward the high density compact land use pattern is consistent with low-carbon developing goal. Finally, the paper systematically expounded the connotation of the low-carbon high density compact mixed use, and discussed the basic forms of low-carbon land use pattern, such as the giant single building, buildings on the same platform, new units model on the community scale etc..
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