Housing Values Research Articles

THE SYMBOLIC MEANING OF COLORS IN HARRY POTTER AND THE DEATHLY HALLOWS

This study examines the symbolic meanings of colors in Harry Potter and the Deathly Hallows by J.K. Rowling, utilizing archetypal criticism and Carl Jung's theory of archetypal symbols. Through a qualitative analysis, the research explores how color functions as a tool for conveying deep thematic elements, enhancing the narrative, and reflecting the emotional and psychological states of the characters. Colors such as red, gold, green, black, white, and blue are shown to symbolize various abstract concepts, including friendship, bravery, immortality, power, love, and death. For instance, red and gold are associated with Gryffindor House values like courage and friendship, while green symbolizes both dark power and the protective love of Harry’s mother. Black is linked to death and darkness, and white signifies purity and sacrifice. By investigating these symbolic associations, the study reveals how Rowling employs color as a narrative device to enrich the reader's understanding of the characters' journeys and the larger themes of good versus evil, sacrifice, and the pursuit of truth. This research highlights the significance of color symbolism as an integral part of the storytelling in the Harry Potter series, providing deeper insights into the novel's thematic layers and the psychological motivations of its characters.

Persistence and variation of schools as housing amenities

Research from the 1980’s to early 2000’s documents that home values reflect characteristics of neighborhood schools, but recent shifts in education and housing could be changing these patterns. In this paper, I first revisit an old question: how are neighborhood school characteristics capitalized into the value of housing? I then ask, how has this capitalization effect changed over time? In particular, I explore variation from 2008–2023, a period marked by rapid change in school choice, recovery from a housing bust, pandemic-related disruptions, and an increasingly competitive housing market. I use a boundary discontinuity design to compare property sales on either side of elementary school boundaries and explore variation in the capitalization of a variety of school characteristics across years and school and housing conditions. Overall, I document average patterns that are highly consistent with past literature, where test scores and student racial and socioeconomic demographics significantly affect housing sales prices but measures of school growth do not. I also find that the capitalization of test scores and student demographics varies over time, coinciding with the prevalence of school choice and the competitiveness of the housing market.

Race, profit, and algorithms: Neighborhood-level analysis of iBuyers’ profit margin

ABSTRACT iBuyers are firms that use automated valuation models (AVMs), streamline home buying processes, and provide all-cash offers to purchase homes. Although the previous literature has explored the roles and limitations of iBuyers in the housing market, empirical research on the racial implications of these algorithmic home buying processes remains understudied. Using a spatial lag model, this study shows the spatial clustering of iBuyer profit margins, that iBuyers gain more profits when they resell to individuals than institutions, and that some iBuyers have a statistically significant correlation between their profit margins and the proportion of marginalized racial groups within a census tract, while controlling for individual housing characteristics, neighborhood housing quality and demand, and neighborhood amenities and socioeconomic factors. These findings suggest that the more adeptly iBuyers can forecast housing values, the greater the potential to maximize profits from homeowners in communities of color. Consequently, this research contributes to the understanding of how technological mechanisms operate within a purportedly race-neutral framework and advocates for the development and deployment of algorithmic systems guided by the principles of antisubordination, rather than relying solely on notions of “fairness” and anticlassification.

Nature’s Neighborhood: The Housing Premium of Urban Parks in Dense Cities

Urban parks, a core component of urban landscapes, play a crucial role in mitigating the negative effects of rapid urbanization and achieving sustainable urban development. In densely populated urban environments, providing urban parks fairly and efficiently, taking social preferences into account, is an important challenge. In this regard, we take Hangzhou, China, as an example and use a hedonic pricing model with a difference-in-differences estimator to test the effect of different types of urban parks on housing prices, quantify their respective economic values, and reflect homebuyers’ preferences. The findings indicate that the construction of new urban parks leads to an overall increase in the value of the surrounding real estate to some extent. Specifically, the construction of comprehensive parks and large parks significantly enhances the value of nearby housing, while proximity to new medium-sized parks also results in a housing price premium, albeit to a lesser extent. In contrast, community parks and specialized parks have a less significant impact on housing prices. These findings provide valuable insights for equitable urban development and planning, optimizing the allocation of urban parks and determining investment priorities for different types of parks to enhance the sustainability of the urban environment and human well-being.

Towards equal neighborhood evolution? A longitudinal study of soundscape and visual evolution and housing value fluctuations in shenzhen

The equitable evolution of neighborhood environments is closely linked to housing economics. However, the lack of quantitative and longitudinal evaluation methods makes it challenging to assess residents' neighborhood perceptions and achieve social inclusiveness goals. Using long-time series street view imagery, we quantified Shenzhen residents' multidimensional neighborhood perceptions before and after micro-renovations, including visual and soundscape dimensions, and revealed the association between perceptual evolution and the housing value. We identified inequitable results during neighborhood renewal: Neighborhoods with high soundscape scores are accompanied by low visual perception scores, and vice versa. The spatial inequality is reflected in the perceptual differentiation prevalent between urban and suburbs. Visual aspects showed a stable but weak relationship with housing value fluctuations, while soundscape aspects had a strong but more dynamic impact. The inequitable spatial evolution is facilitated by changes in residents' perceptions: expectations for positive audio-visual perceptions are increasing, but sensitivity for negative soundscape is decreasing. Meanwhile, residents are increasingly seeking diverse and rich visual neighborhood landscapes and atmospheres filled with human voices. This study provides quantitative support for the equitable evolution of neighborhoods and the economics of neighborhood landscapes. It offers a novel method for measuring multidimensional perceptions that can be applied to settlements worldwide.

All (economic) politics is local: Voting responses to localized price shocks during the great recession

AbstractThe connection between individual and macroeconomic conditions and voting behavior is well‐established. We contribute to the less resolved “spatial gap” in the literature that centers on how the localized economic conditions of where voters live influence their likelihood to vote. We test how space mediates the tension between voter mobilization and withdrawal in the face of economic shocks. We consider a scenario, the Great Recession, where economic shocks were quite localized and sudden, and compile an extensive dataset of all registered voters in the four‐county Tampa metropolitan area between 2006 and 2015. Using sales prices and property characteristics from the tax assessor rolls, we estimate a neighborhood‐level shock to housing values induced by the Great Recession. Results show that when we do not account for local neighborhood variation, the Great Recession is associated with a significant decrease in voter turnout. However, when we account for localized economic shocks, we find that residents in neighborhoods with negative price shocks were more likely to vote after the Recession, especially in non‐local elections. In addition, the propensity to vote increases with the size of the negative price shock. There is some evidence that variation at the neighborhood level matters more than voter‐level heterogeneity. The positive voting response is most profound in predominantly Black neighborhoods, and, to a lesser extent, in predominantly Hispanic and the lowest income neighborhoods. Increases in the propensity to vote are robust to models controlling for baseline economic vulnerabilities, such as localized unemployment, the weakness of the local housing market and exposure to sectors hit hardest by the Recession. The results indicate that dramatic and sudden changes in localized economic conditions can drive voting behavior, and in ways that are distinct from macroeconomic drivers. In addition, the housing asset channel appears to be a powerful one, which can induce significant voting responses at the national level apart from other localized economic drivers, especially among homeowners.

Variety Of Bhenga And Manu Ornaments At The Sa'o Traditional House Of Gurusina Traditional Village

East Nusa Tenggara (NTT) has a rich culture and diverse traditions. Several ethnic sub-groups, including the Ngada-Lio ethnic sub-group, mark this diversity. This ethnic sub-group inhabits the Ngada Regency area, where traditional villages are scattered at several points. Traditional villages are places to preserve a culture that has been passed down from generation to generation, one of which is weti carvings. These carvings have a variety of figures, including Bhénga and Manu. The depiction of these two figures is like a buffalo horn and a chicken. In some traditional houses in Indonesia, there are also similar figures, namely in the Tongkonan Toraja traditional house and the Karo Batak traditional house. This research is a qualitative descriptive research. The researcher chose this method to describe the figures of Bhéngaand Manu in detail and depth. This research began with observation and interviews, after which the research continued by analyzing the data using morphological, stylistic, and comparative analysis. The results of this study show that various ornamental figures of buffalo and chicken are depicted on the walls of the Sao traditional house because the two animals have a special closeness to the community. Besides that, the ornamental variety is carved on the wall of the traditional house as an addition to the aesthetic value of the traditional house.

Abstract C154: Clinical, genomic, and socioeconomic factors underlying low survival rates from colorectal cancer in African American patients

Abstract Background: Colorectal cancer (CRC) patients of African ancestry (AFR) have higher incidence, higher mortality, and shorter overall survival (OS) than patients of non-African ancestry (non-AFR) in the United States. This disparity is likely due to a combination of clinical, genomic, and socioeconomic factors. We investigated real-world data of patients from a single tertiary cancer center to delineate the contribution of each of those variables. Methods: We analyzed data from 3,995 CRC patients, including 247 AFR and 3,748 non-AFR patients, diagnosed after 2014 and treated at Memorial Sloan Kettering Cancer Center. Every patient had a specimen sequenced with MSK-IMPACT, a targeted DNA sequencing assay that identifies genomic alterations in 341-505 genes. Genetic ancestry was determined using previously published methods by our group. Clinical annotations included sex, age at diagnosis (Dx), stage at Dx, and tumor location. Billing records were used to identify the type of insurance per patient and estimate their Yost Index (YI), a location-dependent socioeconomic status (SES) percentile score based on household incomes, house values, rent, poverty, education, and employment statistics. A multivariate cox proportional hazards model was used to assess the association between clinical variables (stage at Dx, age at Dx, sex, primary tumor location), genomic features (MSI status, BRAF, APC, SMAD4 alterations, chromosome 20Q amplifications), SES (YI) and OS. Propensity score matching (PSM) was performed using all features included in the multivariate model to assess outcome differences after matching for clinical, genomic, and socioeconomic variables. OS was measured in months from time of Dx to last follow-up and compared using the log-rank test. Results: AFR patients had worse OS compared to non-AFR patients (median OS: AFR, 44.9 vs. non-AFR, 64.3, p<0.001). AFR patients were younger at Dx (median 53 vs. 57 yo, p<0.001), had higher rates of right-sided tumors (41.1% vs. 30.2%, p<0.001), and less often had microsatellite unstable (MSI) tumors (5.26% vs 10.0%, p=0.014). Among microsatellite stable cases, AFR patients had a higher frequency of KRAS (57.1% vs. 44.7%, p=0.004) and a lower frequency of BRAF mutations (4.3% vs. 7.7%, p=0.069). Medicaid was more frequent among AFR patients (10.12% vs. 4.87%, p<0.001). AFR patients had lower SES (median YI 42 vs. 17, p<0.001). In a multivariate model accounting for clinical, genomic and socioeconomic features, AFR ancestry remained associated with worse outcomes (HR: 1.35, p = 0.007). AFR patients also had significantly shorter OS than the set of non-AFR patients matched for clinical, genomic, and socioeconomic features (5-yr OS was 31.6% for AFR vs 45.7% for non-AFR, log-rank p-value = 0.014). Conclusions: Colorectal cancer patients of AFR ancestry had significantly shorter OS than patients of other ancestries after accounting for basic clinical, genomic, and socioeconomic variables. Further research is needed in order to understand the causes of this disparity. Citation Format: Sharafudeen D. Abubakar, Henry Walch, Xuechun Bai, Tejiri Agbamu, Michele Waters, Kanika Arora, Farheen Shah, Christopher Fong, Justin Jee, Hannah Williams, Michael F Berger, Karuna Ganesh, Julio Garcia- Aguilar, Nikolaus Schultz, Rona Yaeger, Walid K Chatila, Francisco Sanchez-Vega. Clinical, genomic, and socioeconomic factors underlying low survival rates from colorectal cancer in African American patients [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C154.

Abstract A047: Neighborhood disadvantage and multiple myeloma risk among Black women living in the United States

Abstract Introduction: Multiple myeloma (MM) is a rare cancer of the plasma cells. Black men and women are at a greater than 2-fold increased risk of MM as compared to other racial/ethnic groups. In 2021, Black women living in the United States (U.S.) were diagnosed with MM at a rate of 13.9 per 100,000 women, and incidence has increased by more than 30% since 2000. Factors associated with the neighborhood in which Black women live and work may be one area to consider to disentangle this racial disparity in MM incidence and reduce the burden of disease for Black women. Methods: We evaluated the association between two neighborhood-level indices and MM within the Black Women’s Health Study, a longitudinal cohort of 59,000 self- identified Black women ages 21-69 at enrollment in 1995. Participant addresses at baseline were geocoded and linked with U.S. Census Bureau and American Community Survey data. We conducted a factor analysis to a create neighborhood concentrated disadvantage (nDIS) score, which included 6 variables: percentage of individuals below the poverty line, percentage of individuals on public assistance, percentage of female headed households, percentage unemployed, percentage of individuals ≤18 years, and percentage of Black residents. A neighborhood socioeconomic status (nSES) score included median household income, median housing value, percentage of households receiving interest, dividend or net rental income, percentage of adults aged ≥25 years who completed college, percentage of employed persons aged ≥16 years in occupations classified as managerial, executive or professional, and percentage of families with children that are not headed by a single female. We used Cox proportional hazards regression to calculate hazard ratios (HRs) and 95% confidence intervals (CI) for the association of quartiles of nSES and nDIS in relation to MM risk. Multivariable models were adjusted for age, body mass index, educational attainment, alcohol consumption, physical activity, and cigarette smoking. Results: During follow-up through 2021, we identified 276 incident cases of MM. Multivariable-adjusted HRs were 1.43 (95% CI: 1.00, 2.03) for women living in the highest quartile of neighborhood disadvantage relative to the lowest quartile, and 1.23 (95% CI: 0.86, 1.76) for women living in neighborhoods in the lowest quartiles of nSES compared to the highest. Conclusions: Black women in the U.S. living in neighborhoods of high concentrated disadvantage have an increased risk for MM compared to women who live in more advantaged communities, even after adjustment for individual SES as measured by educational attainment. Future studies to further tease apart specific neighborhood-level factors (e.g., walkability, chronic stress, environmental pollution, opportunities to engage in healthy behaviors) that might influence risk of MM would be beneficial. Ultimately, community reinvestment may offer an opportunity to reduce the increasing burden of MM among Black women. Citation Format: Etienne X. Holder, Julie R. Palmer, Kimberly A. Bertrand. Neighborhood disadvantage and multiple myeloma risk among Black women living in the United States [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A047.

Structural analysis of reverse mortgages in Taiwan

This study investigated the framework of reverse mortgage (RM) programs in Taiwan, with a particular emphasis on the perspectives of both debtors and creditors. Employing the Lee–Carter model, the research estimated mortality rates in Taiwan while utilizing the theoretical framework to analyze various aspects of RM. House prices were assessed using the house price index as a foundational metric for estimating prices, along with lump-sum loanable amounts and RM considerations. Empirical analysis was conducted on debtors’ loans and incomes and financial institutions’ perspectives. The study delved into parameters such as maximum loanable amounts and income replacement ratios for debtors based on demographic factors such as sex, age, and occupation. Furthermore, the structure of RM programs was scrutinized from the viewpoint of financial institutions, considering factors such as rental income, remaining house value, creditor insurance protection, premium expenses, and creditor profitability. A series of simulations were performed to gauge the effects of different variables on the outcomes. The normal distribution of the house price index (HPI), as verified through the Anderson-Darling (AD) test and Kolmogorov–Smirnov (KS) test, bolstered the theoretical findings. This study’s primary contribution lies in its comprehensive exploration of the structure and advantages of RMs from the dual perspectives of debtors and creditors, a departure from insights from previous research predominantly focused on financial institutions. This research can aid debtors and creditors in evaluating RM programs and making informed decisions regarding asset allocation, thereby facilitating the selection of more suitable programs tailored to debtor characteristics.

Assessing property value impacts near utility-scale solar in the Midwestern United States

Utility-scale solar energy project proposals have been accelerating exponentially in the United States (U.S.) as the energy transition from fossil fuels to renewables continues to unfold. While the emissions and economic related benefits of deploying large-scale solar photovoltaics (PV) for electricity generation are well documented, relatively less is known about their impact on nearby property values. This paper investigates the location of utility-scale solar facilities in the U.S. Midwest, the average home value in each relevant zip code, and whether the presence of a utility-scale solar project affects nearby property values in any manner. Our study includes 70 utility-scale solar facilities built in the Midwest from 2009 to 2022 using data from the Lawrence Berkeley National Laboratory. Alongside housing value data from Zillow (i.e., Zestimate), we incorporate additional data, including solar project size in installed capacity, rurality, and state. Using the difference-in-differences method, our results indicate that utility-scale solar projects increase nearby property values by roughly 0.5–2.0 %. Moreover, our results show that smaller projects have more of a positive impact on nearby property values than projects that are 20 megawatts or larger. Ultimately, having a better understanding of how these larger-scale solar projects impact property values is essential for a variety of stakeholders – especially local officials and property owners – as they are increasingly faced with making decisions about whether to permit the construction of these facilities in their communities.

Beyond the hype: Digital transformations in global land, housing, and property

This theme issue investigates how 21st-century digital innovations are changing the nature and value of land, housing, and property. Contributors bring together an array of cases to understand how digitization is remaking land and housing on a global scale and, in turn, how existing property relations structure digital transformations in particular geographies. In this introduction to the theme issue, we outline how hype can be used as an analytical entry point to characterize the collection’s contribution, demonstrating how hype elides unequal relations of land and labor while stoking speculation in immovable property, even as it creates new markets for less tangible assets—whether rental data or virtual plots—that usher in new global connections and familiar market dynamics.

Spatial valuation of urban green lungs: Unveiling the true worth of urban parks through MGWR in Chengdu, China

Urban green spaces (UGS), often metaphorically referred to as the “green lungs of cities,” play a crucial role in sustainable urban development and are a key element of land-use policy. This study evaluates the economic value conferred by UGS through urban parks, employing a Multi-scale Geographically Weighted Regression (MGWR) model within a hedonic pricing framework. By focusing on the localized impact of UGS on housing markets in developing megacities, this research utilizes Chengdu, China, as a case study to reveal spatial patterns in property valuations. The findings demonstrate a significant localized impact of UGS on housing prices, characterized by pronounced spatial heterogeneity. A substantial premium on housing values is correlated with proximity to urban parks, reflecting a high market valuation of these green spaces. This premium varies spatially, diminishing in more peripheral urban zones but still significantly influencing overall housing market dynamics. The study highlights the importance of reassessing rapid, policy-driven park expansions. There is a need for value-based UGS integration in sustainable urban planning, emphasizing strategic, ecologically informed decision-making that balances land development with conservation and meaningful resident engagement.

The spatial planning of housing and urban green space: A combined stated choice experiment and land-use modeling approach

Urban green space (UGS) is receiving increasing attention as a means to make cities better adapted to climate change and to create high-quality living environments for citizens. The spatial planning of UGS generally asks a trade-off between optimizing land-use and accessibility characteristics which may differ between housing types. In this paper, we use a stated choice experiment to estimate residential location preferences related to neighborhood land-use, UGS and accessibility characteristics in the framework of a land-use model. A national sample of 394 Dutch homeowners participated in the experiments and mixed logit models were estimated by housing type distinguishing detached, row houses and apartments. The estimation results show that trade-offs made between a green neighborhood and accessibility to urban amenities tend to differ between the housing types. The estimates are used as parameters in a housing land-use allocation model. An application of the model to a residential area development problem shows that creating green buffers along road infrastructure is the most beneficial way of allocating UGS considering the housing value for residents. The application further shows that apartments benefit more strongly from UGS in the neighborhood than from high accessibility of urban amenities compared to detached and row houses. Finally, we find that the optimal spatial allocation of UGS depends on whether maximizing housing market-value or residents’ utility is the prime objective.

Housing Market Appreciation and the White-Black Wealth Gap

Abstract Real house prices in the United States have risen by 55 percent over the last four decades, driving substantial wealth benefits to homeowners. However, research has not explored how this rise in house prices has affected White-Black wealth gaps, or the mechanisms that may underlie this relationship. Using geocoded longitudinal household-level wealth data from the Panel Study of Income Dynamics and tract-level house price index data, I estimate that housing market appreciation between 1984 and 2021 explains 70 percent of the increase in the median White-Black wealth gap over this period. I find that most of this effect is due to White-Black gaps in homeownership, with White-Black gaps in house values playing a smaller role. In contrast to recent findings about racialized housing markets, I do not find that gaps in neighborhood house price appreciation between White and Black homeowners contributed to White-Black wealth gaps in the 2000s and 2010s. These results highlight the importance of cumulative advantage processes in driving wealth inequalities and demonstrate how the legacies of institutional racism contribute to contemporary racial wealth gaps.

The Impact of Ventilation System Type on the Microclimate of Boar's Pen and Their Clinical Triad Parameters

The purpose of the study was the impact of different types of ventilation systems in boar`s pen on the microclimate and their physiological parameters. The control group of boars was kept in a house with a transverse ventilation system, and the animals of the experimental group were kept in a geothermal air supply. It was found that, regardless of the season, transverse ventilation provides a significantly higher air velocity and relative humidity: in Winter - 0.15 m s–1 and 5.4%; in Spring - 0.35 m s–1 and 5.3%; in Summer - 0.41 m s–1 and 0.7%; in Autumn - 0.28 m s–1 and 8.1%. Maintaining a stable temperature by the normative values in the boar housing was due to geothermal ventilation, regardless of the season, especially the "basement effect" was observed in the summer months, where the air temperature was cooled to 4.5°C (P < 0.001), compared to the transverse ventilation system. Compared with the boars in the experimental group, under the influence of the temperature increase in Summer, the boars in the control group increased significantly the respiratory rate to 50.9 ppm (P < 0.001) and heartbeat rate of 45.7 ppm (P < 0.001). An increase in rectal temperature in boars at elevated ambient temperature under both air ventilation systems was not found. The obtained results make it possible to introduce the use of cost-effective geothermal air supply technology in pig farms to harmonize the physiological parameters of boars to meet their biological needs, even in closed housing to improve their welfare.

What explains intergenerational associations in home ownership and value in the UK? Investigating the transmission mechanisms

Evidence shows strong associations in wealth across generations, yet the underlying mechanisms are not fully understood. Some studies attribute these associations to direct financial transfers between generations, while others suggest more indirect mechanisms such as the impact of parental wealth on children’s earnings, family formation, or saving and investment behaviour. Factors such as residential homophily and house value appreciation may also play a role. This study examines the extent to which these mechanisms explain intergenerational associations in home ownership and home value in the UK. Using 30 years of high-quality panel survey data, we link 1341 parent-child pairs, track children’s sources of wealth accumulation in early adulthood, and assess their home ownership and value outcomes at mid-life (around age 35). We employ mediation analysis to determine the relative importance of different transmission mechanisms. Our findings reveal significant age-adjusted correlations in home ownership (0.27) and home value (0.40) between parents and their adult children. These correlations are mainly explained by children’s accumulated earnings, savings and investment income, while parental financial transfers and children’s family lives play limited roles. A substantial part of the correlations in home values are also explained by parental characteristics other than their housing wealth, particularly their place of residence. Future research should pay more attention to the role of place and the influence that parental housing wealth has on the earnings and financial behaviour of young adults.

The research on factors influencing house value-take California as an example

Housing price is a popular and important topic in todays society. This article aims to find the factors that have impacts on the housing price. To find the relationships between factors, this article uses Multiple Linear Regression as the method to perform a significant analysis of factors. 1000 samples of Californias block groups in 1990 are selected for this research. Based on the assumption, this research chooses 8 explanatory variables for the analysis. Because of the relationships between explanatory variables, the article also adds interaction terms between latitude and longitude, and population and total bedrooms to solve the multicollinearity problem among explanatory variables. To optimize model analysis effectiveness, this research compares the significance, VIF value, and GVIF value of explanatory variables. The analysis result shows that the geographical location (Latitude and longitude), the housing median age, the total bedrooms, the population, and the median income make significant impacts on the housing value. Among these factors, the median income is the main factor.

Housing amenity and affordability shape floodplain development

Flood damage has severe and long-term repercussions for households and communities, and continued housing development in floodplains escalates damages over time. Policies and interventions to reduce damage depend on assumptions about housing stock and residents, but assessments of flood exposure to date largely focus on community-scale characteristics at a single point in time, masking potential within-community differences and their evolution through time. We measure residential development in the floodplain nationwide over time to characterize the type and value of U.S. floodplain housing stock and to assess how new development contributes to flood exposure. Over 4M U.S. residences built from 1700 to 2019 (4.8% of all residences built during that time) are located within current regulatory floodplains. These residences are concentrated at the affordable and expensive extremes of the housing value spectrum, reflecting deep differences in the social vulnerability of floodplain residents. Floodplain housing stock often differs substantially from the local market, with coastal floodplains containing relatively expensive housing and inland floodplains containing relatively affordable housing. New housing development has not occurred equally across these contexts. In the past two decades, more floodplain development has occurred in communities with relatively expensive floodplain housing, and mobile home construction in floodplains has slowed. The bifurcated patterns in floodplain housing, across values and geographies, demonstrate the importance of considering the specific population at risk and how it may differ from the broader community when tailoring flood risk management approaches.

An Agent-based Approach to Study Spatial Structure Effects on Estimated Distance Deterrence in Commuting

We provide an experimental design to study how estimates of the distance deterrence parameter in a standard doubly-constrained gravity model respond to different patterns of spatial structure. The design is defined as an agent-based simulation framework that simultaneously considers the response of commuting and migration to changes in the spatial structure, accounting for labor and housing market issues. The agents are equipped with a utility function and are expected to maximize their utilities corresponding to their disposable income net of commuting costs and house value. We study how the estimates of the distance deterrence parameter respond to where the central business district is located, to the clustering of local and basic sector jobs, to changes in the road transportation network, and to the compactness in the system of towns in the geography.