Relevant bibliographies by topics / Residential choices

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Residential choices'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Residential choices"

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Patacchini, Eleonora, and Tiziano Arduini. "Residential choices of young Americans." Journal of Housing Economics 34 (December 2016): 69–81. http://dx.doi.org/10.1016/j.jhe.2016.08.003.

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Clark, William A. V. "Residential Preferences and Residential Choices in a Multiethnic Context." Demography 29, no. 3 (August 1992): 451. http://dx.doi.org/10.2307/2061828.

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Sørensen, Jens F. L. "The impact of residential environment reputation on residential environment choices." Journal of Housing and the Built Environment 30, no. 3 (August 9, 2014): 403–25. http://dx.doi.org/10.1007/s10901-014-9419-0.

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Kasanen, Pirkko, and T. R. Lakshmanan. "Residential Heating Choices of Finnish Households." Economic Geography 65, no. 2 (April 1989): 130. http://dx.doi.org/10.2307/143777.

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Zang, Xiaowei, and Riaz Hassan. "Residential Choices of Immigrants in Australia." International Migration 34, no. 4 (October 1996): 567–82. http://dx.doi.org/10.1111/j.1468-2435.1996.tb00545.x.

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Tichá, Renáta, K. Charlie Lakin, Sheryl A. Larson, Roger J. Stancliffe, Sarah Taub, Joshua Engler, Julie Bershadsky, and Charles Moseley. "Correlates of Everyday Choice and Support-Related Choice for 8,892 Randomly Sampled Adults with Intellectual and Developmental Disabilities in 19 States." Intellectual and Developmental Disabilities 50, no. 6 (December 1, 2012): 486–504. http://dx.doi.org/10.1352/1934-9556-50.06.486.

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Abstract This article examines everyday choices made by 8,892 adults with intellectual and developmental disabilities (IDD) and support-related choices made by 6,179 adults with IDD receiving services from 19 state developmental disabilities program agencies that participated in the 2008–2009 National Core Indicators Project. Controlling for physical and sensory impairment, age, behavioral support, communication, and state, people in residential settings with 16 or more people had less everyday choice than those in other living arrangements. People with mild and moderate IDD had more control over everyday choices when living in their own homes, whereas people with severe and profound IDD had more control when living in agency homes of 3 or fewer residents. For people of all levels of IDD, institutional settings of 16 or more residents offered the lowest levels of everyday choice. Controlling for the same covariates, individuals with all levels of IDD living in their own homes had significantly more support-related choices than those in any other residential arrangement. Controlling for individual and residential setting characteristics, the state in which sample members lived was notably predictive of support-related choice. Overall, the tested variables accounted for 44% of the variability in everyday choice and 31% in support-related choice.
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Zondag, Barry, and Marits Pieters. "Influence of Accessibility on Residential Location Choice." Transportation Research Record: Journal of the Transportation Research Board 1902, no. 1 (January 2005): 63–70. http://dx.doi.org/10.1177/0361198105190200108.

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There has been substantial discussion among planners about the influence of transport in residential location choices. The purpose of this paper is to analyze the importance of accessibility in explaining residential location choices. The paper addresses this issue by presenting and analyzing findings from the literature and results of a housing market estimation study in the Netherlands. The research findings for the Netherlands illustrate that the transport system influences residential moves at three stages: in move–stay choice, estimation results show that households are less likely to move away from a more accessible location; travel time variables are significant for all household types, and therefore changes in the transport system will affect the size of the housing market and search area of the households; the model estimation results suggest that accessibility of a specific location for many household types is not a significant variable in their location choice. Overall, the empirical results suggest that the role of accessibility is significant but small compared with the effect of demographic factors, neighborhood amenities, and dwelling attributes in explaining residential location choices. The empirical findings are confirmed by findings in the literature; the present results are located at the lower end of findings reported in the literature. An important factor contributing to this result is that accessibility changes among regions in the Netherlands are rather small.
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Peterson, Paul E., and Mark Rom. "American Federalism, Welfare Policy, and Residential Choices." American Political Science Review 83, no. 3 (September 1989): 711–28. http://dx.doi.org/10.2307/1962057.

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The relationship between welfare benefit levels and the residential choices of the poor raises two issues for federalism in the United States. Do state benefit levels affect the residential choices of the poor? Do residential choices of the poor affect the level at which a state sets its benefit levels? Empirical studies have seldom studied the interconnection between these two issues. This research estimates simultaneously the mutual effects of welfare benefits and poverty rates while controlling for other economic and political variables. When benefit levels become high, the size of the poverty population increases. Conversely, when poverty rates become high, benefit levels are cut. The findings are consistent with the claim that state-determined benefit levels distort policy and residential choices.
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Bonvalet, Catherine, and Jim Ogg. "Ageing in Inner Cities The Residential Dilemmas of the Baby Boomer Generation." International Journal of Ageing and Later Life 2, no. 2 (April 2, 2008): 61–90. http://dx.doi.org/10.3384/ijal.1652-8670.072261.

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Although residential mobility decreases with age, rates rise around the age of retirement, especially for people living in cities. The post-war birth cohort of 1945–1954 differs in many respects from previous generations, and these differences are currently influencing residential choices made around the age of retirement. Using data from 60 semi-structured interviews in four areas of London and Paris that have undergone gentrification, this paper examines the residential trajectories and choices facing members of the 1945–1954 birth cohort. The analysis reveals three types of residential trajectories – ’pioneers of gentrification’, ’city movers’ and ’local inhabitants’. These trajectories are intertwined with contextual factors such as life course events, family situation, housing market conditions, and the institutions of Britain and France. The analysis shows that pioneers of gentrification have more opportunities for choice in future residential locations, and are tending to adopt complex residential patterns that often involve a combination of extended stays throughout the year in different locations. Whilst they still favour a city life, their current neighbourhood location is not a priority in any future residential choice. City movers have lived in diverse locations over the life course and although they too express a continued preference for the city, ties to the local neighbourhood remain relatively weak. Among the ’local’ inhabitants, differentiation from the gentrifers is strong, and attachment to the local neighbourhood depends upon the context of the urban setting. The British and French contexts of housing policy and markets play an important role in determining residential mobility. Collectively, the analysis shows that there is little ’stability’ in the choices for current cohorts of people in cities approaching retirement, with few interviewees having formed a definitive plan for a future residential location.
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Wang, Yang, Kangmin Wu, Jing Qin, Changjian Wang, and Hong’ou Zhang. "Examining Spatial Heterogeneity Effects of Landscape and Environment on the Residential Location Choice of the Highly Educated Population in Guangzhou, China." Sustainability 12, no. 9 (May 9, 2020): 3869. http://dx.doi.org/10.3390/su12093869.

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The residential location choice of the highly educated population is an important consideration to construct a livable city. While landscape and environment are important factors, few studies have deeply analyzed the spatial heterogeneity effects of landscape and environment on the residential location choices of a highly educated population. Taking Guangzhou as the sample, we built a livability-oriented conceptual framework of landscape and environment, and constructed datasets for highly educated population proportion, landscape, and environment factors, and other influencing factors for Guangzhou’s 1364 communities. Global regression and geographically weighted regression (GWR) models are used for analysis. The GWR model is more effective than the global regression model. We found spatial heterogeneity in the strength and direction of the relationship between the highly educated population proportion and landscape and environment. We find that landscape and environment exert spatial heterogeneity effects on the residential location choice of the highly educated population in Guangzhou. The conclusions will be of reference value to further understand how the spatial limitations of landscape and environment affect residential location choices. This study will help city managers formulate spatially differentiated environment improvement policies, thereby increasing the city’s sustainable development capabilities.
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Dissertations / Theses on the topic "Residential choices"

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Zolfaghari, Alireza. "Methodological and empirical challenges in modelling residential location choices." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/12565.

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The modelling of residential locations is a key element in land use and transport planning. There are significant empirical and methodological challenges inherent in such modelling, however, despite recent advances both in the availability of spatial datasets and in computational and choice modelling techniques. One of the most important of these challenges concerns spatial aggregation. The housing market is characterised by the fact that it offers spatially and functionally heterogeneous products; as a result, if residential alternatives are represented as aggregated spatial units (as in conventional residential location models), the variability of dwelling attributes is lost, which may limit the predictive ability and policy sensitivity of the model. This thesis presents a modelling framework for residential location choice that addresses three key challenges: (i) the development of models at the dwelling-unit level, (ii) the treatment of spatial structure effects in such dwelling-unit level models, and (iii) problems associated with estimation in such modelling frameworks in the absence of disaggregated dwelling unit supply data. The proposed framework is applied to the residential location choice context in London. Another important challenge in the modelling of residential locations is the choice set formation problem. Most models of residential location choices have been developed based on the assumption that households consider all available alternatives when they are making location choices. Due the high search costs associated with the housing market, however, and the limited capacity of households to process information, the validity of this assumption has been an on-going debate among researchers. There have been some attempts in the literature to incorporate the cognitive capacities of households within discrete choice models of residential location: for instance, by modelling households’ choice sets exogenously based on simplifying assumptions regarding their spatial search behaviour (e.g., an anchor-based search strategy) and their characteristics. By undertaking an empirical comparison of alternative models within the context of residential location choice in the Greater London area this thesis investigates the feasibility and practicality of applying deterministic choice set formation approaches to capture the underlying search process of households. The thesis also investigates the uncertainty of choice sets in residential location choice modelling and proposes a simplified probabilistic choice set formation approach to model choice sets and choices simultaneously. The dwelling-level modelling framework proposed in this research is practice-ready and can be used to estimate residential location choice models at the level of dwelling units without requiring independent and disaggregated dwelling supply data. The empirical comparison of alternative exogenous choice set formation approaches provides a guideline for modellers and land use planners to avoid inappropriate choice set formation approaches in practice. Finally, the proposed simplified choice set formation model can be applied to model the behaviour of households in online real estate environments.
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Lo, Stephanie. "Increasing healthy food choices among individuals in a residential facility." OpenSIUC, 2017. https://opensiuc.lib.siu.edu/theses/2216.

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AN ABSTRACT OF THE THESIS OF Stephanie Lo, for the Masters of Science degree in Behavior Analysis and Therapy, presented on May 11, 2017, at Southern Illinois University Carbondale. TITLE: INCREASING HEALTHY FOOD CHOICES AMONG INDIVIDUALS AT A RESIDENTIAL FACILITY. MAJOR PROFESSOR: Dr. Ryan N. Redner Obesity and being overweight are rising issues in the United States and present unique challenges for individuals with disabilities. Even though individuals with disabilities are one of the most at risk groups for overweight and obesity, research with this population is lacking. The present study sought to build on behavior analytic research targeting weight loss in individuals with disabilities. The study examined the effect of goal setting plus feedback on eating behavior, specifically caloric intake, in two adult females with comorbid psychiatric and developmental disabilities. Results were variable, with only one participant completing all phases in the study. However, the intervention (goal plus feedback) was effective in decreasing caloric intake for both participants. This study adds to the limited research currently published on weight loss interventions with individuals with disabilities. Additionally, implications for future behavior analytic interventions on eating behaviors were discussed. Keywords: disabilities, overweight, obesity, food choice, goal setting, feedback
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Akinbogun, Solomon Pelumi. "Modelling residential tenants' choices with a grave as a negative externality." Thesis, Heriot-Watt University, 2015. http://hdl.handle.net/10399/2978.

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Economic theory considers every household as a rational being operating by the principles of bounded rationality to make a home choice with optimum utility in the residential market. This study investigates the impact of the negative externality of a grave on tenants' residential choice. Using Stated Preference method, the study examines three inter-twined problems of residential choice, willingness to pay and market regulatory mechanism. First, is the question on whether the location of a grave within a home affects tenants' residential choice and social welfare? It hypothesized that there is no significant relationship between income, education, family size and accessibility on the choice of home with grave. Second, is the question on economic value of a grave on a residential property's rent? Third, is the question on the efficiency of the Environmental Health law regulating the residential market? Fourth, is the question on the adequacy of neoclassical economics solution to the negative externality of a grave on residential property. The research methodology is dominantly quantitative. In particular, it applies choice modelling in an experimental study agenda to explore the effect of a residential property with a grave on tenants' residential choice and rent. It also examines tenants' sensitivity to a rent discount on a home with a grave in different parts namely, frontage, side, backyard and room. The context is the Private Renter Sector within the informal residential market in Akure, a State capital city in Southwestern Nigeria. To achieve these raison d'êtres, respondents are presented with discrete residential choices developed by Sawtooth software in a stochastic process. The choice context requires some moment of trade-off to reach a stated choice decision, which reveals tenants' WTP. Data analysis involves the use of basic probabilistic models; namely ordinary least square (OLS) and multinomial logit model (MNL). It progresses to the application of a Hierarchical Bayes (HB) model for a more robust and reliable parameter estimates The study reveals that most of the respondents prefer a choice of un-impacted property. The fixed choice model estimates shows that the majority of them would protect their social welfare by WTP 10 percent above the open market value of a property without a grave. Parameter estimates show that preference varies with respect to different locations of a grave within a residential property. Tenants most prefer a property with a grave at the backyard; this is followed by a preference for a home with a grave at the side, frontage and in a room respectively. The model's distribution of WTP estimates shows that a residential property with a grave would lose between 15 and 20 percent in rental. Sensitivity analysis shows that tenants' responsiveness to a high rent discount on residential property with a grave is inelastic; thus exposing the limitation of a neoclassical economics approach to welfare issues. Parameter estimates on attributes importance and contribution to the residential choice decision show that rent, accessibility and other variables all pale into insignificance in the face of the grave factor. The property market regulatory mechanism exemplified by the Environmental Health Law shows ambivalence and lack of definiteness in its exception to the rule. In conclusion, the study noted that the negative externality of a grave on residential property emerges from the violation of property right and partly the law. It problematizes the law and its' implementation as crucial to tenants' residential choice, rental value and welfare. Consequently, it argues for remedies from both legal perspective and market process; and advances a course for reappraisal of the Burial on Private on Premises Law. Ultimately, it argues for a welfare approach as exemplified in planning values to strike a healthy balance between land use for graves, residential choice, rental and social welfare.
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Zinser, Margaret Leah. "Culex quinquefasciatus host choices in residential, urban Tucson and at a constructed wetland." Thesis, The University of Arizona, 2005. http://hdl.handle.net/10150/292083.

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Blood fed Culex quinquefasciatus were collected from residential and wetland sites in Tucson, Arizona for three years using CDC gravid traps. An ELISA distinguishing human, bird, dog, cat, and rabbit blood meals was used. In residential areas, approximately 47% of all identified blood meals were from humans, with fewer blood meals from bird, dog, cat, and rabbit. At Sweetwater Wetland, humans were also the most common host, with 11 (41%) identified blood meals. Birds were the hosts of 19% blood meals. Ten (seven residential, three wetland) mosquitoes were identified to have blood from both bird and human hosts. Since the transmission of West Nile Virus to humans is dependent on mosquitoes feeding both on birds and humans, this finding is particularly relevant. These data only describe the feeding choices of the mosquitoes collected from a limited number of sites in Tucson, and therefore, may not reflect feeding preferences more generally.
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Schoeppner, Heidi Jo. "Overweight adolescents in West Virginia report healthier diet choices after a two-week residential camp." Morgantown, W. Va. : [West Virginia University Libraries], 2009. http://hdl.handle.net/10450/10271.

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Thesis (M.S.)--West Virginia University, 2009.
Title from document title page. Document formatted into pages; contains vii, 64 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 38-40).
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Min, Jihoon. "Energy Efficient Lighting: Consumer Preferences, Choices, and System Wide Effects." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/431.

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Lighting accounts for nearly 20% of overall U.S. electricity consumption, 14% of U.S. residential electricity consumption, and 6% of total U.S. carbon dioxide equivalent (CO2e) emissions. A transition to alternative energy-efficient technologies could reduce this energy consumption considerably. We studied three questions related to energy efficiency lighting choices and consequences, which are: • Question 1: How large is the system-wide effect of a residential lighting retrofit with more efficient lighting technologies? • Question 2: Based on stated preference (SP) data, which factors influence consumer choices for general service light bulbs? What is the effect of the new lighting efficiency label mandated by the Federal Trade Commission? • Question 3: What can we learn about market trends and consumer choices from consumer panel data (i.e. revealed preference (RP) data) for general service light bulbs between 2004 and 2009? How can we compare the findings from SP and RP data, and which findings are robust across the two? In Chapter 2, we focus on the issue of lighting heat replacement effects. The issue is as follows: lighting efficiency goals have been emphasized in various U.S. energy efficiency policies. However, incandescent bulbs release up to 95% of input energy as heat, and it has been argued that replacing them with more efficient alternatives has a side effect in the overall building energy consumption: it increases the heating service that needs to be provided by the heating systems and decreases the cooling service that needs to be provided by the cooling systems. We investigate the net energy consumption, CO2e emissions, and saving in energy bills for single family detached houses across the U.S. as one moves towards more efficient lighting systems. In some regions, these heating and cooling effects from more efficient lighting can undermine up to 40% of originally intended primary energy savings, erode anticipated carbon savings completely, and lead to 30% less household monetary savings than intended. However, this overall effect is at most one percent of total emissions or energy consumption by a house. The size of the effect depends on various regional factors such as climate, electricity fuel mix, differences in emission factors of main energy sources used for heating and cooling, and electricity prices. Other tested factors such as building orientation, insulation level, occupancy scenario, or day length do not significantly affect the results. Then, in Chapter 3, we focus on factors that drive consumer choices for light bulbs. We collected stated preference data from a choice-based conjoint field experiment with 183 participants. We estimate discrete choice models from the data and find that politically liberal consumers have a stronger preference for compact fluorescent lighting technology and for low energy consumption. Greater willingness-to-pay for lower energy consumption and longer life is observed in conditions where estimated operating cost information was provided. Providing estimated annual cost information to consumers reduces their implicit discount rate by a factor of five, lowering barriers to adoption of energy efficient alternatives with higher up-front costs; however, even with cost information provided, consumers continue to use implicit discount rates of around 100%, which is larger than that estimated for other energy technologies. Finally, we complemented the stated preference study with a revealed preference study. This is because stated preference data alone have limitations in explaining consumer choices, as purchases are affected by many other factors that are outside of the experimenter control. We investigate consumer preferences for lighting technology based on revealed preference data between 2004 and 2009. We assess the trends in lighting sales for different lighting technologies across the country, and by store type. We find that, across the period between 2004 and 2009, sales of all general service light bulbs are almost monotonically decreasing, while CFL sales peaked in 2007. Thanks to increasing adoption of CFLs during the period, newly purchased light bulbs contributed to lowering carbon emissions and electricity consumption, while not sacrificing total produced lumens as much. We study consumer preferences for real light bulbs by estimating choice models, from which we estimate willingness-to-pay (WTP) for light bulb attributes (watt and type) and implicit discount rates (IDR) consumers adopt for their purchases. We find that the campaign for efficient bulbs in Wal-Mart in 2007 is potentially related to the peak in CFL adoption in 2007 in addition to the effects of the EISA or other factors/programs around the same period. Consumers are willing to pay, $1.84 more for a change from an incandescent bulb to a CFL and -$0.06 for 10W increase, the values which also include willingness-to-pays for corresponding changes in unobserved variables such as life and color. IDRs for four representative states range between around 230% and 330%, which is in a similar range we estimate from the choice experiment. Overall, even with energy efficiency labels, nationwide promotion of CFLs by retailers, or better availability of CFLs in the transforming residential lighting market, we see the barriers to energy efficient residential lighting are still persistent, which are reflected in high implicit discount rates observed from the models. While we can expect the EISA to be effective in lowering the barriers through regulation, it alone will not close energy efficiency gap in the residential lighting sector.
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Foti, Fletcher Scott. "A Behavioral Framework for Measuring Walkability and its Impact on Home Values and Residential Location Choices." Thesis, University of California, Berkeley, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3640431.

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Walking is underrepresented in large area models of urban behavior, largely due to difficulty in obtaining data and computational issues in representing land use at such a small scale. Recent advances in data availability, like the ubiquitous point-of-interest data collected by many private companies, as well as a worldwide dataset of local streets in OpenStreetMap, a standard format for obtaining transit schedules in GTFS, etc, provide the potential to build a scalable methodology to understand travel behavior at a pedestrian scale which can be applied wherever these datasets are available.

This dissertation improves on similar indexes like WalkScore by estimating a model that represents the substitution of destinations around a location and between the modes of walking, automobile, and transit. This model is estimated using the San Francisco Bay Area portion of the 2012 California Household Travel Survey to capture observed transportation behavior, and accounts for the demographics included in the survey. These representations of travel behavior can then be used as right-hand side variables in other urban models: for instance, to create a residential location choice model where measures of accessibility and available demographics are used to understand why people choose to live where they do.

This dissertation is organized into four topics, one for each of chapters 2-5. The first topic establishes a framework for measuring the network of destination opportunities in the city for each of the walking, transit, and auto transportation modes. Destinations in the form of parcels and buildings, businesses, population, and points of interest are tied to each network so that the distance from each location to every destination can be computed by mode. The use of a points-of-interest dataset as the set of public-facing destinations is novel in the context of a traditional travel demand destination model.

This chapter also creates a case study model of trip generation for home-based walking trips is the 2012 California Household Travel Survey. This model finds that WalkScore is predictive of walking trips, that residential density and 4-way intersections have an additional but small impact, and that regional access by the transit network has a synergistic effect on walking, but regional access by auto has no impact when controlling for regional access by transit.

The second topic engages with the question of the impact of accessibility to local amenities on home values. Although early research has found that the composite index WalkScore is positively correlated with home values, this dissertation unpacks the impact of each category of destination used in WalkScore (as well as several others) on home values. The model shows that some amenities are far more predictive of home values in the datasets used here; in particular, cafes and coffee shops tend to be the indicator of neighborhood-scale urban fabric that has the largest positive relationship with home values, where a one standard deviation increase in access to cafes is associated with a 15\% increase in home values.

Although the previous topic provides some evidence that walkable amenities are related to increased home values with the datasets analyzed here, it does not prove that households are valuing walking to these amenities; it is equally plausible that households are capitalizing short driving trips into increased home values. The third topic thus creates a nested mode-destination model for each trip purpose (with destinations nested into modes) so that the logsums of the lower nest give an absolute measure of the accessibility by mode for each purpose for each location in the region.

These logsums are then weighted by the number of trips made for each purpose, and segmented by income and weighted by the incomes of the people that live at each location in the city. The result is an index based only on empirically observed behavior (in this case, the primary dataset is the 2012 CHTS) which is an absolute measure of walking behavior, not just of walkability. The methodology from this chapter yields an index for all three modes, and all indexes are included in the hedonic model described above. The model shows that a one standard deviation change in the auto index has the largest impact on home values, but that the walking index is positive, statistically significant, and almost as large. Although part of the reason for this finding might be that these neighborhoods are undersupplied, where they exist they are clearly in high demand. (Abstract shortened by UMI.)

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Block-Schachter, David. "Hysteresis and urban rail : the effects of past urban rail on current residential and travel choices." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/73697.

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Thesis (Ph. D. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2012.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (p. 265-284).
Cities are endowed with and accumulate assets based on their unique histories, which in turn define the choice set of the present. These assets range from the natural-sheltered ports, fertile land--to the constructed--concrete and cement, institutions and people. This dissertation examines the effects of one of these assets, urban rail, on residential location and travel behavior, from the era of horsecars and streetcars to the present in Boston. It explores the hysteretical effects of past access to rail--the extent to which the urban system retains the impacts of rail even when it no longer exists. Current density and travel behavior are measurably influenced by past access to rail. The built environment and demographic patterns are found to be the strongest mechanism for these persistent effects. Past access to rail has shaped the city, and that shape has, in turn, affected travel behavior. For density and auto ownership there is an additional measurable effect of past access unexplained by the built environment or demographic patterns. This legacy is plausibly explained by cultural effects--mnemonics--due to personal history, behavioral norms, and zoning/politics. Past access to rail has a stronger effect on density than on auto ownership. The daily choice of modes is almost entirely conditioned on current circumstances. Because places shaped by rail retain its imprint, these findings imply that there is need to consider how policy decisions will influence the city's future choice set. The greatest benefits from the endowments of urban rail are likely where redevelopment costs are low and growth potential is high--particularly light industrial areas near strong central cities. Realizing these changes requires mechanisms that allow and encourage government and private entities to be patient with the long time frames for adaptation to rail infrastructure. One such step is requiring, rather than allowing, supportive zoning and other policies within the Federal Transit Administration's New Starts capital program--including such items as increased as-of-right density, reasonable limits on parking, car sharing, and graduated drivers licensing laws. This research strengthens prior findings that similar approaches can encourage sustainable cultural norms.
by David Block-Schachter.
Ph.D.in Transportation
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Ozturk, Erdogan. "Accounting for space in intrametropolitan household location choices." Columbus, OH : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1054271160.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xiv, 134 p.: ill. (some col.). Includes abstract and vita. Advisor: Elena G. Irwin, Dept. of Agricultural, Environmental, and Developmental Economics. Includes bibliographical references (p. 123-134).
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Limbumba, Tatu Mtwangi. "Exploring social-cultural explanations for residential location choices : the case of an African City - Dar es Salaam." Doctoral thesis, KTH, Skolan för arkitektur och samhällsbyggnad (ABE), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-12136.

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This study explores the factors urban residents consider when making residential location decisions. The context of the study is informal residential areas in a rapidly urbanising African city – the city of Dar es Salaam in Tanzania. A central concern in the study is how the urban poor make their residential location decisions; the assumption is that with income limitations the urban poor rely on other non-economic resources to enable their residential location decisions in the context of rapid urban growth and urban poverty. The study attempts to question residential location choice concepts that rely on economic approaches as well as question explanations based on the developing world experiences.The study suggests that in the absence of reliable incomes, social networks and informalchannels prevail in the decision-making process. The concept of social capital where networks and social relationships are used as a resource by individuals or groups to achieve goals is explored in a residential choices framework. Demonstrated through in-depth interviews with heads of households settling close to the CBD (termed the inner city), the intermediate informal residential areas and the peri-urban residential areas; the study shows how socio-cultural factors play a role in the decision makingprocess of households. This is illustrated inter alia, in the form of informal channels for information on accommodation and residential plots, being accommodated rent-free by a relative, the actions of subsequently making short-distance moves to a location within proximity of a relative, or seeking people of the same socio-economic status. The context within which the actions have taken place has also been shown to be important in corroborating the network and relationship elements in the concept of social capital. The uncertainty that residents in rapidly urbanizing cities have to deal with on an everyday basis calls for networks and relations as an important resource for survival. The study goes further to suggest how urban planning practice can learn from the social processes. The study is based on qualitative methods such as in-depth interviewing with heads of household and key informants.
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Books on the topic "Residential choices"

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Varady, David P. Neighborhood choices: Section 8 housing vouchers and residential mobility. New Brunswick, NJ: Center for Urban Policy Research, 2005.

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Victoria. Department of Human Services. Aged Care Branch. Residential care, your choices: A guide for older Victorians. Melbourne, Victoria: Aged Care Branch, Victorian Government, Department of Human Services, 2008.

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Pagliara, Francesca, John Preston, and David Simmonds, eds. Residential Location Choice. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5.

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Pagliara, Francesca. Residential Location Choice: Models and Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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Zetterström, Erik. Residential mobility and tenure choice in the Swedish housing market. Uppsala: Uppsala University, Dept. of Economics, 2001.

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Wal F. J. van Lierop. Spatial interaction modelling and residential choice analysis. Aldershot, Hants, England: Gower, 1986.

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Spatial interaction modelling and residential choice analysis. Aldershot: Gower, 1986.

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Is FHA limiting choices for home finance?: An examination of fair housing compliance : hearing before the Subcommittee on Housing and Community Opportunity of the Committee on Banking and Financial Services, U.S. House of Representatives, One Hundred Fifth Congress, second session, May 13, 1998. Washington: U.S. G.P.O., 1998.

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Lierop, Wal van. Disaggregate residential choice models: Review and case study. Amsterdam: Vrije Universiteit, Faculteit der Economische Wetenschappen, 1986.

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Wood, Susan. Residential care for older people: The concept of choice. Surbiton: SCA (Education), 1995.

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Book chapters on the topic "Residential choices"

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Kim, Ayoung, and Brigitte S. Waldorf. "Retirement, Relocation, and Residential Choices." In New Frontiers in Regional Science: Asian Perspectives, 181–96. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9275-1_8.

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Bottero, Marta, Marina Bravi, Federico Dell’Anna, and Carlos Marmolejo-Duarte. "Energy Efficiency Choices and Residential Sector: Observable Behaviors and Valuation Models." In Values and Functions for Future Cities, 167–79. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23786-8_9.

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Flint, Shlomit. "Residential Choices as a Driving Force to Vertical Segregation in Whitechapel." In Lecture Notes in Geoinformation and Cartography, 39–57. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56759-4_3.

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Akinbogun, Solomon Pelumi, Clinton Aigbavboa, Trynos Gumbo, and Wellington Thwala. "The Socio-economic Implications of a Sustainability Issue “Grave” on Residential Choices." In Modelling the Socio-Economic Implications of Sustainability Issues in the Housing Market, 113–44. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48954-0_7.

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Manley, David. "Segregation in London: A City of Choices or Structures?" In The Urban Book Series, 311–28. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64569-4_16.

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AbstractThis chapter provides a comprehensive overview of the socio-economic segregation in London. The cosmopolitan nature of the city means there is an interwoven complexity that prevents the separation of social, cultural and economic residential trajectories of the population. As a result, the chapter explores socio-economic segregation within the context of the changing nature of the (sub)urban contexts. In particular, the chapter documents not only the occupational segregation but also introduces the often-used dimension of ethnicity and pairs it with the less commonly explored age and tenure dimensions through which the social structure of the city is inscribed. This enables a broader understanding of the rapid changes that have been wrought on the micro-scale can be understood in the context of a city that has, in terms of the overall composition, changed little.
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Pagliara, Francesca, and Alan Wilson. "The State-of-the-Art in Building Residential Location Models." In Residential Location Choice, 1–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_1.

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Arentze, Theo, Harry Timmermans, and Jan Veldhuisen. "The Residential Choice Module in the Albatross and Ramblas Model Systems." In Residential Location Choice, 209–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_10.

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Feldman, Olga, Roger Mackett, Emma Richmond, David Simmonds, and Vassilis Zachariadis. "A Microsimulation Model of Household Location." In Residential Location Choice, 223–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_11.

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Pagliara, Francesca, and David Simmonds. "Conclusions." In Residential Location Choice, 243–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_12.

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Hunt, J. D. "Stated Preference Examination of Factors Influencing Residential Attraction." In Residential Location Choice, 21–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_2.

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Conference papers on the topic "Residential choices"

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"Modelling Tenants’ Choices with a Negative Externality; , the Case of Residential Property Market." In 21st Annual European Real Estate Society Conference. ERES, 2014. http://dx.doi.org/10.15396/eres2014_223.

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Sakakibara, Hiroyuki, and Shin-ya Uramoto. "Empirical analysis of the reference point effect in residential choices under the risk of slope disasters." In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2016. http://dx.doi.org/10.1109/smc.2016.7844876.

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He, Xiang, and Lei Zhang. "Quantifying the Self-Selection Effect in Residential Location and Vehicle Use Choices with a Structural Equation Model." In The Twelfth COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412442.361.

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Craig, Andrew, Xiaokuan Li, Patrick Sesker, Alex Mcinerny, Thomas DeAgostino, and Christopher Depcik. "Small-Scale Smart Electrical Grid Design, Construction, and Analysis." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65219.

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As society moves into the digital age, the expectation of instantaneous electricity at the flip of a switch is more prominent than ever. The traditional electric grid has become outdated and Smart Grids are being developed to deliver reliable and efficient energy to consumers. However, the costs involved with implementing their infrastructure often limits research to theoretical models. As a result, an undergraduate capstone design team constructed a small-scale 12 VDC version to be used in conjunction with classroom and research activities. In this model Smart Grid, two houses act as residential consumers, an industrial building serves as a high-load demand device, and a lead-acid battery connected to a 120 VAC wall outlet simulates fossil fuel power plants. A smaller lead-acid battery provides a microgrid source while a photovoltaic solar panel adds renewable energy into the mix and can charge either lead-acid battery. All components are connected to a National Instruments CompactRIO system while being controlled and monitored via a LabVIEW software program. The resulting Smart Grid can run independently based on constraints related to energy demand, cost, efficiency, and environmental impact. Results are shown demonstrating choices based on these constraints, including a corresponding weighting according to controller objectives.
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Tiedemann, Kenneth H. "Split Incentives and Residential Fuel Choice." In Power and Energy Systems and Applications. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.788-035.

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Beria, Paolo, and Rasa Ušpalytė-Vitkūnienė. "Transport Modelling During Preparation of General Plans in Big Cities: Reasons and Challenges." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.099.

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Rapidly growing mobility of people in European cities attaches greater importance to the sustainable development concept. The dynamics of European cities are however different. Cites such as Lithuanian, Slovakian and Polish ones will rapidly increase traffic flows and car ownership at fast pace. Also in most of Western Europe, even if at lower rates, private mobility is increasing. In some cities, however, car use and car ownership are finally decreasing, also thanks to policies implemented. Of course, an increase of traffic flows poses problems in terms of street space, pollution and liveability of cities. Sustainable integration of all kinds of transport into the urban development process is one of the most effective actions in the hands of city planners. The coordination between the planning of residential and business development areas and the expansion of public transport and its hierarchical integration is however a difficult but necessary exercise. Transport modelling tools, in particular, need important advancements to integrate transport and land use in simulations. This article analyses the main challenges in the use of transport models to support the construction of city plans by means of two case studies of Milan and Vilnius. The analysis deals both with traditional aspects, such as the proper simulation of multimodal choices, the level of detail of zoning, the issues associated to the simulation of traffic management policies. Then, we will focus on two aspects still open: the integration of transport modelling and economic assessment or ranking of actions, and the inclusion of land use changes in the modelling.
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Moussa, Sonia, Manel Jebali-Ben Ghorbal, and Ilhem Slama-Belkhodja. "DC voltage level choice in residential remote area." In 2018 9th International Renewable Energy Congress (IREC). IEEE, 2018. http://dx.doi.org/10.1109/irec.2018.8362444.

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Matovu, Augustine, Racheael Mirembe, Isaac Nkote, and Nabirye Immaculate. "Predictors of choice of residential housing in Kampala, Uganda." In 25th Annual European Real Estate Society Conference. European Real Estate Society, 2016. http://dx.doi.org/10.15396/eres2016_165.

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M'Tovu, Augustine, Isaac Nkote, Nabirye Immaculate, and Rachael Mirembe. "PREDICTORS OF CHOICE OF RESIDENTIAL HOUSING IN KAMPALA, UGANDA." In 16th African Real Estate Society Conference. African Real Estate Society, 2016. http://dx.doi.org/10.15396/afres2016_125.

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Zhang, Lin, Di Xia, and Nana Lv. "Residential Choice Based on Traffic and Location Fuzzy Attributes." In 2016 International Forum on Management, Education and Information Technology Application. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/ifmeita-16.2016.25.

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Reports on the topic "Residential choices"

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Clifton, Kelly, Steven Gehrke, and Kristina Currans. Understanding Residential Location Choices for Climate Change and Transportation Decision Making: Phase 2 Report. Portland State University Library, February 2015. http://dx.doi.org/10.15760/trec.118.

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Horowitz, Marvin. Economic determinants of residential mortgage choice. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.827.

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Lee, A. D., J. E. Englin, and S. A. Harkreader. Residential fuel choice in the Pacific Northwest. Office of Scientific and Technical Information (OSTI), February 1989. http://dx.doi.org/10.2172/6185154.

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Rose, Jonathan. Contract Choice in the Interwar US Residential Mortgage Market. Federal Reserve Bank of Chicago, 2018. http://dx.doi.org/10.21033/wp-2018-13.

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Wang, Chih-Hao, and Na Chen. Do Multi-Use-Path Accessibility and Clustering Effect Play a Role in Residents' Choice of Walking and Cycling? Mineta Transportation Institute, June 2021. http://dx.doi.org/10.31979/mti.2021.2011.

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The transportation studies literature recognizes the relationship between accessibility and active travel. However, there is limited research on the specific impact of walking and cycling accessibility to multi-use paths on active travel behavior. Combined with the culture of automobile dependency in the US, this knowledge gap has been making it difficult for policy-makers to encourage walking and cycling mode choices, highlighting the need to promote a walking and cycling culture in cities. In this case, a clustering effect (“you bike, I bike”) can be used as leverage to initiate such a trend. This project contributes to the literature as one of the few published research projects that considers all typical categories of explanatory variables (individual and household socioeconomics, local built environment features, and travel and residential choice attitudes) as well as two new variables (accessibility to multi-use paths calculated by ArcGIS and a clustering effect represented by spatial autocorrelation) at two levels (level 1: binary choice of cycling/waking; level 2: cycling/walking time if yes at level 1) to better understand active travel demand. We use data from the 2012 Utah Travel Survey. At the first level, we use a spatial probit model to identify whether and why Salt Lake City residents walked or cycled. The second level is the development of a spatial autoregressive model for walkers and cyclists to examine what factors affect their travel time when using walking or cycling modes. The results from both levels, obtained while controlling for individual, attitudinal, and built-environment variables, show that accessibility to multi-use paths and a clustering effect (spatial autocorrelation) influence active travel behavior in different ways. Specifically, a cyclist is likely to cycle more when seeing more cyclists around. These findings provide analytical evidence to decision-makers for efficiently evaluating and deciding between plans and policies to enhance active transportation based on the two modeling approaches to assessing travel behavior described above.
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Dinan, T. M. An analysis of the impact of residential retrofits on indoor temperature choice. Office of Scientific and Technical Information (OSTI), October 1987. http://dx.doi.org/10.2172/5534022.

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Wakabayashi, Midori, and Charles Horioka. Is the Eldest Son Different? The Residential Choice of Siblings in Japan. Cambridge, MA: National Bureau of Economic Research, October 2006. http://dx.doi.org/10.3386/w12655.

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Stanek, Richard. Residential Options for the Institutionalized Chronically Mentally Ill: The Impact of Psychosis on Choice. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6515.

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Yang, Yizhao. Understanding School Travel: How Residential Location Choice and the Built Environment Affect Trips to School. Portland State University Library, January 2010. http://dx.doi.org/10.15760/trec.22.

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McClellan, Rita. The relationship of the perception of choice and positive behavior change in adolescent residential treatment with future success in the community. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5695.

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