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  1. NTU Theses and Dissertations Repository
  2. 生物資源暨農學院
  3. 農業經濟學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99760
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dc.contributor.advisor劉鋼zh_TW
dc.contributor.advisorKang Liuen
dc.contributor.author李每喜zh_TW
dc.contributor.authorMariah Campbellen
dc.date.accessioned2025-09-17T16:36:10Z-
dc.date.available2025-09-18-
dc.date.copyright2025-09-17-
dc.date.issued2025-
dc.date.submitted2025-08-14-
dc.identifier.citationBaltimore Green Space. (n.d.). Baltimore Green Space. https://baltimoregreenspace.org/
Baltimore Neighborhood Indicators Alliance. (n.d.-a). Mapping Baltimore’s neighborhoods. https://mapping-bniajfi.opendata.arcgis.com/
Baltimore Neighborhood Indicators Alliance. (n.d.-b). Median household income. https://bniajfi.org
Baltimore Neighborhood Indicators Alliance. (n.d.-c). Unemployment rate. https://bniajfi.org
Baltimore Neighborhood Indicators Alliance–Jacob France Institute. (n.d.). Project VITAL: Vacant lot improvement to transform adolescent lives. https://bniajfi.org/projectvital/
Boman, J. H., & Gallupe, O. (2020). Has COVID-19 changed crime? Crime rates in the United States during the pandemic. American Journal of Criminal Justice, 45(4), 537–545. https://doi.org/10.1007/s12103-020-09551-3
Cozens, P., & Love, T. (2015). A review and current status of crime prevention through environmental design (CPTED). Journal of Planning Literature, 30(4), 393–412. https://doi.org/10.1177/0885412215595440
FasterCapital. (2025, April 5). Quartiles and quintiles: Measuring the layers of data. https://fastercapital.com/content/Quartiles--Quartiles-and-Quintiles--Measuring-the-Layers-of-Data.html
Federal Bureau of Investigation. (2020). Crime in the U.S. 2019: Property crime. https://ucr.fbi.gov/crime-in-the-u.s/2019/crime-in-the-u.s.-2019/topic-pages/property-crime
Frazier, L., & Jung, H. (2023). Community gardens and property crime: Mixed-methods analysis of Seattle’s P-Patch Program, 1996–2006. Journal of Urban Affairs, 45(2), 123–140. https://doi.org/10.7710/2168-0620.1067
Jeffery, C. R. (1971). Crime prevention through environmental design. Sage Publications. https://doi.org/10.1177/00027642710140
Jennings, V., & Bamkole, O. (2019). The relationship between social cohesion and urban green space: An avenue for health promotion. International Journal of Environmental Research and Public Health, 16(3), 452. https://doi.org/10.3390/ijerph16030452
Kondo, M. C., South, E. C., & Branas, C. C. (2018). Nature-based strategies for improving urban health and safety. Current Environmental Health Reports, 5(3), 283–292. https://doi.org/10.1007/s11524-015-9983-y
Kvit, A., Corrigan, P., Locke, D. H., Curriero, F. C., & Mmari, K. (2022). Can restoring vacant lots help reduce crime? An examination of a program in Baltimore, MD. Landscape and Urban Planning, 225, 104417. https://doi.org/10.1016/j.landurbplan.2022.104417
Macrotrends. (n.d.). Baltimore, MD property crime rate statistics. https://www.macrotrends.net/global-metrics/cities/us/md/baltimore/property-crime-rate-statistics
Newman, O. (1972). Defensible space: Crime prevention through urban design.Macmillan.
Nassauer, J. I., Wang, Z., & Dayrell, E. H. (2014). What will the neighbors think? Cultural norms and ecological design. Landscape and Urban Planning, 132, 114–123. https://doi.org/10.1016/j.landurbplan.2009.05.010
Police Executive Research Forum. (2020, May 12). PERF Daily COVID-19 report: How has the COVID-19 pandemic impacted crime rates? Police Executive Research Forum. https://www.policeforum.org/covidmay12
Shepley, M. M., Sachs, N. A., Sadatsafavi, H., Fournier, C., & Peditto, K. (2019). The impact of green space on violent crime in urban environments: An evidence synthesis. International Journal of Environmental Research and Public Health, 16(24), 5119. https://doi.org/10.3390/ijerph16245119
Taylor, J. (2018). Assessing the relationship of crime and urban gardens in Minneapolis, Minnesota [Master’s thesis, University of Minnesota]. https://hdl.handle.net/11299/200178
Troy, A., & Grove, J. M. (2008). Property values, parks, and crime: A hedonic analysis i n Baltimore, MD. Landscape and Urban Planning, 87(3), 233–245. https://doi.org/10.1016/j.landurbplan.2008.06.005
Troy, A., Grove, J. M., & O’Neil-Dunne, J. P. M. (2012). The relationship between tree canopy and crime rates across an urban–rural gradient in the Greater Baltimore Region. Landscape and Urban Planning, 106(3), 262–270. https://doi.org/10.1016/j.landurbplan.2012.03.010
U.S. Census Bureau. (n.d.). Methodology for the United States population estimates: 2020. https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html
U.S. Department of Agriculture Forest Service. (2021). The relationship between tree canopy and crime rates across an urban–rural gradient in the Greater Baltimore Region. https://doi.org/10.1016/j.landurbplan.2012.03.010
U.S. Department of Justice. (2016). Investigation of the Baltimore City Police Department. https://www.justice.gov/opa/file/883366/download
Wilson, J. Q., & Kelling, G. L. (1982). Broken windows: The police and neighborhood safety. The Atlantic Monthly, 249(3), 29–38.
Wooldridge, J. M. (2021). Introductory econometrics: A modern approach (7th ed.). Cengage Learning.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99760-
dc.description.abstract本論文檢視了2011年至2021年巴爾的摩市綠地與財產犯罪之間的關係,特別關注綠地維護和社區收入水準如何影響這種關係。研究借鑒了環境設計預防犯罪、破窗效應和隱瞞假說等理論,探究維護綠地是否真的有助於減少犯罪,以及這種效果在富裕社區和低收入社區是否有所不同。該研究使用來自55個社區統計區域的面板數據,建立了固定效應回歸模型,檢驗了維護和未維護的綠地與財產犯罪隨時間的變化關係。維護良好的綠地通常與較低的犯罪率相關,但在大多數模型中,這種關係並不具有統計顯著性。收入是降低財產犯罪率更顯著且更一致的預測因子。我們使用了交互項來檢驗收入是否會增強綠地的影響,但數據並未明確支持這一觀點。視覺化地圖顯示,雖然自2011年以來,全市綠地維護規模已擴大,但成長幅度並不均衡。有些地區的維護活動大幅增加,而其他地區則基本保持不變。這些模式表明,獲得綠地改善的機會仍取決於居住地。研究結果揭示了一個比理論本身更複雜的圖像。綠地固然有價值,但它並非孤立運作。在一個長期不平等的城市中,如果沒有更廣泛的結構性支持,綠化工作的角色就會受到限制。zh_TW
dc.description.abstractThis thesis examines the relationship between green space and property crime in Baltimore City between 2011 and 2021, with special attention to how green space maintenance and neighborhood income levels may shape that relationship. Drawing from theories like Crime Prevention Through Environmental Design, Broken Windows, and the Concealment Hypothesis, the research asks whether keeping green spaces maintained actually helps reduce crime, and whether that effect looks different in wealthier versus lower-income communities. Using fixed-effects regression models on panel data from 55 Community Statistical Areas, the study tests how maintained and unmaintained green spaces relate to property crime over time. Maintained green space was generally linked with lower crime, but this relationship was not statistically significant in most models. Income stood out as a stronger and more consistent predictor of lower property crime. An interaction term was used to see if income made the effects of green space stronger, but the data did not clearly support that idea. Visual maps show that while green space maintenance has expanded across the city since 2011, the growth has not been equal. Some areas saw major increases in maintenance activity, while others remained largely untouched. These patterns suggest that access to green space improvements still depends on where someone lives. The results point to a more complicated picture than what theory alone suggests. Green space has value, but it does not operate in isolation. In a city shaped by long-standing inequalities, the role of greening efforts is limited without broader structural support.en
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dc.description.tableofcontentsVerification Letter from the Oral Examination Committee i
摘要 ii
Abstract iii
Table of Contents iv
Chapter 1 Introduction 1
1.1 Motivation and Background 1
1.2 Research Objectives 2
1.3 Research Hypotheses 3
Chapter 2 Literature Review 4
2.1 Theoretical Foundations Linking Green Space and Crime 4
2.2 Research on Green Space Design and Crime Reduction 5
2.3 When and Where Green Space Does Not Help 6
2.4 Lessons from Baltimore: What the Local Data Tells Us 7
2.5 Contribution of This Thesis 8
Chapter 3 Data and Variables 9
3.1 Data Sources and Variable Explanations 9
3.2 Accounting for Pandemic Effects 16
3.3 Summary Statistics 17
Chapter 4 Methodology 32
Chapter 5 Analysis Results 35
5.1 Maintained Green Space and Crime (H1) 37
5.2 Low-Income CSAs and Unmaintained Green Space (H2) 38
5.3 The Interaction between Income and Maintenance (H3) 39
5.4 Maintained Green Space Effects on CSAs 40
5.5 Limitations 43
Chapter 6 Discussion 45
6.1 Revisiting the Hypotheses 45
6.2 Structural and Spatial Context 46
6.3 Policy Implications 47
Chapter 7 Conclusion 49
References 52
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dc.language.isoen-
dc.subject犯罪zh_TW
dc.subject綠地zh_TW
dc.subject巴爾的摩zh_TW
dc.subjectBaltimoreen
dc.subjectgreen spaceen
dc.subjectcrimeen
dc.title分析綠地對巴爾的摩市財產犯罪率的影響zh_TW
dc.titleAnalyzing the Effect of Green Space on Property Crime In Baltimore Cityen
dc.typeThesis-
dc.date.schoolyear113-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee葉家瑜;魯真;張焯然zh_TW
dc.contributor.oralexamcommitteeChia-Yu Yeh;Jane Lu;Jow-Ran Changen
dc.subject.keyword綠地,犯罪,巴爾的摩,zh_TW
dc.subject.keywordgreen space,crime,Baltimore,en
dc.relation.page53-
dc.identifier.doi10.6342/NTU202504347-
dc.rights.note同意授權(全球公開)-
dc.date.accepted2025-08-15-
dc.contributor.author-college生物資源暨農學院-
dc.contributor.author-dept農業經濟學系-
dc.date.embargo-lift2025-09-18-
顯示於系所單位:農業經濟學系

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