Low-density Neighborhoods Research Articles

Mapping municipal land policies: applications of flexible zoning for densification

Municipalities develop individual land policies and can choose not to apply available planning instruments or to apply them differently than intended. While this strategic action can endanger the effectiveness of public policies, it is rarely considered in large-scale analyses. A new geospatial method is presented that captures such strategic action. Empirical evidence from the Canton of Bern, Switzerland, reveals municipalities’ application of planned unit development (PUD), an instrument potentially allowing for flexible zoning negotiations to promote densification. Detailed zoning and building data from the period 2002–23 are used to examine the variation in PUD application by municipalities and whether they apply it to enable densification. Distinguishing by municipality type (i.e. urban core, small town, suburban, rural or touristic) reveals that PUD application is connected to projects with higher building density, more complex parcel changes and, for urban and suburban municipalities, higher density gains in low-density neighbourhoods. However, rural municipalities seldom apply PUD. New indicators of planning complexity provide an insight into whether municipalities apply instruments to enable densification under difficult circumstances. Practice relevance Many policy instruments are provided for in the law, but it is unclear whether and how they are used in practice by municipalities. Following urban densification objectives, municipalities often struggle to implement planning or housing policy instruments, which target private landowners and developers. Therefore, evaluating how different municipalities apply policy instruments and how this application contributes to reaching stated policy goals is crucial. Therefore, this research explores new ways to capture the effect of policy instruments with spatial analysis. Furthermore, by examining the real-world implementation of PUDs, this research sheds light on possible barriers to PUD application for densification, thereby helping policymakers and urban planners improve the effectiveness of public policies.

Phonological neighbourhood effects in Italian speech production: Evidence from healthy and neurologically impaired populations

ABSTRACT In two speech production studies conducted in Italian, we investigated the impact of phonological neighbourhood properties such as the neighbourhood density and the mean frequency of the neighbours on speech processing. Two populations of healthy (Study 1) and neurologically impaired (Study 2) individuals were tested. We employed multi-regression methods to analyse naming latencies in Study 1 and accuracy rates in Study 2 while controlling for various psycholinguistic predictors. In Study 1, pictures with words from high-density neighbourhoods were named faster than those from low-density neighbourhoods. Additionally, words with high-frequency neighbours were named faster in Study 1 and yielded higher accuracy rates in Study 2. The results suggest facilitatory effects of both the phonological neighbourhood density and frequency neighbourhood variables. Furthermore, we observed interactions between these two phonological neighbourhood variables and name agreement and repetition. Specifically, the facilitation effect was more pronounced for pictures with lower name agreement and during the initial presentation of the pictures. These findings are discussed in the context of previous literature and within the framework of interactive models of speech production.

The spatial and social correlates of neighborhood morphology: Evidence from building footprints in five U.S. metropolitan areas.

Recent advances in quantitative tools for examining urban morphology enable the development of morphometrics that can characterize the size, shape, and placement of buildings; the relationships between them; and their association with broader patterns of development. Although these methods have the potential to provide substantial insight into the ways in which neighborhood morphology shapes the socioeconomic and demographic characteristics of neighborhoods and communities, this question is largely unexplored. Using building footprints in five of the ten largest U.S. metropolitan areas (Atlanta, Boston, Chicago, Houston, and Los Angeles) and the open-source R package, foot, we examine how neighborhood morphology differs across U.S. metropolitan areas and across the urban-exurban landscape. Principal components analysis, unsupervised classification (K-means), and Ordinary Least Squares regression analysis are used to develop a morphological typology of neighborhoods and to examine its association with the spatial, socioeconomic, and demographic characteristics of census tracts. Our findings illustrate substantial variation in the morphology of neighborhoods, both across the five metropolitan areas as well as between central cities, suburbs, and the urban fringe within each metropolitan area. We identify five different types of neighborhoods indicative of different stages of development and distributed unevenly across the urban landscape: these include low-density neighborhoods on the urban fringe; mixed use and high-density residential areas in central cities; and uniform residential neighborhoods in suburban cities. Results from regression analysis illustrate that the prevalence of each of these forms is closely associated with variation in socioeconomic and demographic characteristics such as population density, the prevalence of multifamily housing, and income, race/ethnicity, homeownership, and commuting by car. We conclude by discussing the implications of our findings and suggesting avenues for future research on neighborhood morphology, including ways that it might provide insight into issues such as zoning and land use, housing policy, and residential segregation.

The influence of the urban model on civic involvement and public time. A study applied to the commuting population of the Greater Metropolitan Area of San José, Costa Rica

A major problem for policymakers is to ensure that levels of citizen participation reflect the society in its diversity, but they must also ensure that those citizens who want to get involved have the means to do so. Despite empirical evidence of the role of urban planning in health, well-being, and livability, studies have not delved into the implications of how low-density sprawled urban forms influence civic involvement. This paper adds new evidence regarding the significance of urban form, built environment characteristics and more in general city planning, as intermediary factors between public and private life connected to civic engagement and public space use. Based on surveys and geographic data from the Greater Metropolitan Area of San José, in Costa Rica, the article investigates how the results of citizen participation change depending on whether residents are from a compact or dispersed study area, relating to urban rhythms and mobility metrics. Findings suggest that inhabitants of group A (lower-density neighborhoods) differ significantly from group B (compact-city areas) in four variables: means of mobility, commuting time, public space use, and civic activism, while having similar sociodemographic composition. Compared with residents of group A, group B report higher levels of use and knowledge of public spaces and civic participation. These two aspects constitute, the Urban Civic Participation Index, which, related to self-reported free time, forms what we define as Public Time. The main characteristics of the compact city (higher population and building density, high street connectivity, grid presence and proximity of services, mixed land use) were found to be positively related to the outcomes of accessibility to public space and community participation. In contrast, there are no significant differences in the availability of free time between the two groups. This study, along with others on the compact city, shows that there are other reasons to reduce daily commuting distances in cities and the need of urban time policies to redesign urban society's temporal dimension besides the known environmental impacts. It also raises the question of how low urban density affects people's time and disposition to participate in public life.

The heterogeneous impacts of widespread upzoning: Lessons from Auckland, New Zealand

Zoning reform is increasingly recognised as an important strategy to increase housing affordability and environmental sustainability. Few cities have undertaken significant upzoning of low-density neighbourhoods, making the 2016 Auckland Unitary Plan (AUP) probably the most ambitious zoning reform in the world. Parcels zoned for single houses previously dominated Auckland, but three-quarters of them now allow multiple units. Existing studies have documented the building boom that followed this zoning reform, yet the relatively rare case offers additional insights. In this article, we use appraisal, census and zoning data on over 200,000 parcels in Auckland to answer three research questions about the heterogeneous impacts of the AUP. First, to what extent did upzoning increase the appraised value of properties’ redevelopment options? Second, did upzoning increase appraised property values to a greater degree in higher-income and more centrally located neighbourhoods? Finally, was zoning reform in Auckland significantly influenced by similar political pressures as in other countries? That is, was upzoning less likely (and downzoning more likely) in higher-income neighbourhoods? The answers to these three questions are substantially, it’s complicated, and yes.

Aging in Place or Moving to Higher Ground: Older Adults’ Adaptation to Sea Level Rise in Honolulu, Hawaii

Coastal communities face escalating risks from rising sea levels and the increasing growth of vulnerable, aging populations in high-risk zones. These threats are expected to intensify as population growth and aging trends continue. In response to these challenges, this study represents a novel investigation into the synergistic impacts of demographic shifts and climate change in shaping the vulnerability of coastal communities, particularly focusing on elderly populations. This study’s primary objectives are to assess the potential impacts of these threats on vulnerable older adults and to explore effective adaptation strategies. To achieve these objectives, we used census tract data from Hawaii and the Hamilton–Perry cohort-component method to project the elderly population trends in each census tract for Honolulu in 2050. The vulnerabilities of older adults were estimated under different sea level rise level conditions and mapped according to three planning scenarios: (1) maintaining the status quo; (2) relocating or redeveloping vulnerable elderly residents to safer, low-density neighborhoods; (3) relocating or redeveloping vulnerable elderly residents to secure, high-density areas with amenities for older adults. We further evaluated transportation accessibility to emergency services in these scenarios. The findings reveal that with a projected sea level rise of 1.1 feet, the number of elderly individuals without timely access (within 8 min) to emergency and healthcare services would double by 2050. This is primarily attributed to reduced transportation access and increased aging in high-risk areas. Compared to the status quo, both relocation (or redevelopment) strategies significantly improve the vulnerable elderly population’s access to emergency and healthcare services, even without enhancements in transportation and infrastructure. Given that many developments and aging trends are yet to fully unfold, we propose that existing adaptation strategies should prioritize land use development, along with housing and transportation solutions that align with development scenarios 2 and 3, to support age-friendly activities and lifestyles. By directing population growth towards less vulnerable zones in the coming decades, we can achieve protective effects equivalent to those of future relocation efforts, but without incurring substantial protection or relocation costs.

Investigating the Nonlinear Relationship Between Car Dependency and the Built Environment

Car-dominated daily travel has caused many severe and urgent urban problems across the world, and such travel patterns have been found to be related to the built environment. However, few existing studies have uncovered the nonlinear relationship between the built environment and car dependency using a machine learning method, thus failing to provide policymakers with nuanced evidence-based guidance on reducing car dependency. Using data from Puget Sound regional household travel surveys, this study analyzes the complicated relationship between car dependency and the built environment using the gradient boost decision tree method. The results show that people living in high-density areas are less likely to rely on private cars than those living in low-density neighborhoods. Both threshold and nonlinear effects are observed in the relationships between the built environment and car dependency. Increasing road density promotes car usage when the road density is below 6 km/km<sup>2</sup>. However, the positive association between road density and car use is not observed in areas with high road density. Increasing pedestrian-oriented road density decreases the likelihood of using cars as the main mode. Such a negative effect is most effective when the pedestrian-oriented road density is over 14.5 km/km<sup>2</sup>. More diverse land use also discourages people’s car use, probably because those areas are more likely to promote active modes. Destination accessibility has an overall negative effect and a significant threshold effect on car dependency. These findings can help urban planners formulate tailored land-use interventions to reduce car dependency.

The role of built environment, personal, religious, cultural, and socioeconomic factors in increasing overweight and obesity rate in women vs men: a case study of Karachi, Pakistan

ABSTRACT Among many Asian countries, Pakistan is also facing an increase in overweight/obesity rate as an epidemic. This research explores how various built environment, personal, religious, cultural, and socioeconomic factors work differently for both sexes to contribute to increasing the Body Mass Index of female adults in all three Socioeconomic Statuses of the megacity Karachi, Pakistan. 210 random samples of 20 years or older male and female adults were selected, and the sample data, from survey questionnaires, was analyzed through Ordinary Least Square Regression in SPSS V.25. The results confirm that low-density neighborhoods, higher fast-food restaurant density, accessibility (walking distance in no. of min) to parks/playgrounds, household size, obesity running in the family, health condition of an individual, and discouraging behavior by others are positively associated with higher BMI. Whereas less junk food consumption in a week and availability of pleasant surroundings where people prefer walking are negatively associated with higher BMI. Although religious factors were not found connected to higher BMI, cultural, built environment, and religious factors combined were responsible for the choice of Physical Activity in both sexes. Walking was the most common whereas cycling was the least common PA in females in all SES.

Growth algorithms in the phonological networks of second language learners: A replication of Siew and Vitevitch (2020a).

A recent study by Siew and Vitevitch (2020a) investigated word form lexica and their growth in children acquiring English and Dutch as first languages from a network perspective. They identified a unique developmental trajectory in network growth, with high-density neighborhoods becoming enriched through growth at early acquisition stages (the "preferential attachment" mechanism) but low-density neighborhoods gaining new neighbors at advanced acquisition stages (termed "inverse preferential attachment"). Their findings were confirmed for various languages, they fit with assumptions of cognitive efficiency in lexical memory and retrieval and are intriguing for second language research as well. The present study was designed as a replication of Siew and Vitevitch (2020a) study "An investigation of network growth principles in the phonological language network" with data of English-as-a-second-language learners. Results mirror findings by Siew and Vitevitch and demonstrate that preferential attachment is the main network growth algorithm driving lexical learning at early second-language proficiency stages, while inverse preferential attachment prevails at more advanced proficiency stages. The similar growth dynamics observed in phonological networks of first and second language users may indicate a universal cognitive principle underlying word learning. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Spatial isolation impacts pollinator visitation and reproductive success of a threatened self-incompatible Mediterranean tree

Pollination service is crucial to achieve successful plant sexual reproduction and long-term population persistence. This pollination service can be affected by plant conspecific density and also by intrinsic features of individuals related to their flowering phenology and floral display. However, studies examining intrinsic and extrinsic traits on pollinator visitation and reproductive success of Mediterranean trees with limited reproduction are still scarce. We analyzed the effects of plant isolation, flowering phenology, flower weight and tree size on flower visitation probability, flowering patch visitation probability, fruit set and crop size. To this end, we intensively monitored pollinator visitation and fruit production of 67 (in 2019) and 73 (in 2020) Pyrus bourgaeana Decne trees within a threatened Mediterranean population. Our results revealed that isolated individuals received more pollinators than those on conspecific aggregations, suggesting intraspecific competition for pollinators in dense flowering neighborhoods. However, fruit set was higher in trees close to flowering conspecifics despite having fewer visits from pollinators, suggesting pollen limitation but not pollinator limitation in spatially isolated trees. Interestingly, we found increased crop sizes in spatially isolated trees which could be related to reduced intraspecific competition for resources in low-density neighborhoods (water, nutrients) and/or to higher reproductive investment (i.e. higher flower production). Overall, our results indicated pollen but not pollinator limitation in spatially isolated trees. Under this scenario of sexual reproduction mediated by pollinators, our findings stress the relevance of individuals' spatial distribution for self-incompatible trees exhibiting low individuals’ densities.

Differences in Weight Gain Following Residential Relocation in the Moving to Health (M2H) Study.

Neighborhoods may play an important role in shaping long-term weight trajectory and obesity risk. Studying the impact of moving to another neighborhood may be the most efficient way to determine the impact of the built environment on health. We explored whether residential moves were associated with changes in body weight. Kaiser Permanente Washington electronic health records were used to identify 21,502 members aged 18-64 who moved within King County, WA between 2005 and 2017. We linked body weight measures to environment measures, including population, residential, and street intersection densities (800 m and 1,600 m Euclidian buffers) and access to supermarkets and fast foods (1,600 m and 5,000 m network distances). We used linear mixed models to estimate associations between postmove changes in environment and changes in body weight. In general, moving from high-density to moderate- or low-density neighborhoods was associated with greater weight gain postmove. For example, those moving from high to low residential density neighborhoods (within 1,600 m) gained an average of 4.5 (95% confidence interval [CI] = 3.0, 5.9) lbs 3 years after moving, whereas those moving from low to high-density neighborhoods gained an average of 1.3 (95% CI = -0.2, 2.9) lbs. Also, those moving from neighborhoods without fast-food access (within 1600m) to other neighborhoods without fast-food access gained less weight (average 1.6 lbs [95% CI = 0.9, 2.4]) than those moving from and to neighborhoods with fast-food access (average 2.8 lbs [95% CI = 2.5, 3.2]). Moving to higher-density neighborhoods may be associated with reductions in adult weight gain.

Who loses and who wins in the ride-hailing era? A case study of Austin, Texas

Ride-hailing has redefined vehicle access and has the potential to reduce travel difficulties for transit-poor areas and people with poor access to private and public transportation resources. Due to the lack of data, current studies lack a holistic understanding of how transportation resources serve different social groups and places in the ride-hailing era in low-density areas. This study uses multiple sources of data in Austin, Texas to understand: (1) how ride-hailing usage, transit supply, and vehicle ownership distribute across neighborhoods with different densities, income, and racial and ethnic compositions; (2) who are ride-hailing users among those with and without private vehicles, and how their ride-hailing usage and attitudes towards ride-hailing versus transit differ. Our study has shown that the ride-hailing services have provided residents living in low-income, low-density neighborhoods, and neighborhoods with a majority of Hispanics with an alternative transportation mode. However, residents living in low-density and low-income neighborhoods still use ride-hailing services less frequently than those living in high-density and high-income neighborhoods. The user survey further shows that ride-hailing users without private vehicles tend to be racial and minorities or younger people with higher education attainments. Ride-hailing services provide people with a convenient and safe transportation mode, regardless of their vehicle ownership. Our study shows the importance of ride-hailing in mitigating the social and spatial disparity and the opportunity of integrating ride-hailing and transit in transportation planning in low-density areas.

COVID-19 impact on teleactivities: Role of built environment and implications for mobility.

This paper presents new evidence on changes in a broad range of teleactivities due to the Coronavirus disease (COVID-19) pandemic and investigates how the built environment relates to these changes. The paper relies on survey and geospatial data from Oslo and its surrounding Viken region in Norway. Findings suggest that most teleactivities increased due to COVID-19. Telework, teleconferencing, online learning, telehealth, and virtual meetings with friends and family all increased during COVID-19 compared to the pre-COVID-19 period. The next step in the analysis examined relationships between built environment characteristics and teleactivities before and during COVID-19. Telework and virtual meetings increased to a greater extent in denser neighborhoods than in lower-density neighborhoods. A larger increase in online learning was associated with lower neighborhood density, lower accessibility to public transport, and more local facilities. Numerous local facilities were associated with more frequent telework and virtual meetings both before and during COVID-19. The substantial COVID-19-induced increase in teleactivities found in the study highlights the potential of information and communications technology (ICT) for replacing travel for various activities.

Lessons Learned from the Covid-19 Pandemic to Raise the Quality of Residential Neighbourhoods: The Saudi Context

Saudi Arabia was one of the countries that undertook early precautionary measures from March 8 to June 21, 2020, to avoid the spread of Covid-19. These measures consisted of partial lockdowns and isolating some neighbourhoods from the rest of the city. The precautionary procedures impacted the isolated residents' ability to meet their needs and conduct `their daily activities, but the greatest impact appeared in low-density neighbourhoods that do not have full services. This paper proposes a set of recommendations and practical procedures to improve the quality of residential neighbourhoods and avoid negative effects as a result of a partial or total lockdown in the future. The steps involved in the study include the following: identify precautionary procedures; monitor and analyse the reactions resulting from their application; and identify the shortcomings that cause the negative effects and inability to meet the needs of the population. Based on the findings, this paper outlines recommendations for a set of procedures that would improve the quality of residential neighbourhoods and avoid negative effects should future precautionary measures be required. KEYWORDS Corona, precautionary measures, quality of residential neighbourhoods, Riyadh

Demolition-Based Urban Regeneration from a Post-Socialist Perspective: Case Study of a Neighborhood in Novi Sad, Serbia

Although a growing body of literature examines the post-socialist European context of urban regeneration, studies on the demolition-based approaches are relatively scarce. Moreover, the regeneration policies of cities in non-EU Balkan countries with a distinctive transitional path remain largely unexplored. The paper contributes to filling these voids by investigating a specific demolition-based urban regeneration strategy named permanent reconstruction, which has been launched in Novi Sad, Serbia’s second largest city, and applied to low-density neighborhoods with a derelict housing stock, being seen as a tool for achieving sustainable urban development. The specific research aims are to explain the origin of this strategy; analyze the institutional and planning framework, mechanisms, and dynamics of the regeneration process through a case study; and assess its outcomes based on a mixed methodology. The main research objective is to identify the issues of a post-socialist entrepreneurial urban governance, primarily deriving from Serbia’s distorted transition, which hampered the development of a strategic, integrated, and locale-conscious approach. The findings suggest that Novi Sad and other Serbian cities necessitate socially responsible and context-perceptive regeneration that would produce sustainable regeneration projects. The authors propose the means for redefining them, emphasizing the responsibilities of the public sector and the significance of involving the local community in the planning and decision-making process.

Land use densification revisited: Nonlinear mediation relationships with car ownership and use

We revisit the effectiveness of land use densification as a strategy to promote travel sustainability by investigating the nonlinearity and mediation in the effects of residential densities on home-work distance, car ownership, and driving distance. Using a 2017 travel survey dataset in Beijing, we adopt a quadratic generalized multilevel structural equation model to estimate nonlinear and mediating effects simultaneously. Results suggest that the total effects of densities on home-work distance, car ownership, and driving distance are significantly curvilinear. Over-densification may result in marginal or even countervailing travel consequences. The appropriate level of residential density should lie below a threshold at around 18,000 persons/km2. Moreover, the densification policy in low-density neighborhoods may have a trivial direct effect but a significant indirect effect on driving reduction, through the mediation of other travel decisions. These findings demonstrate the importance of incorporating nonlinearity with mediation to evaluate land use policies, particularly in high-density cities.

Sustainable built environment and travel behavior: New perspectives, new data, and new methods

We revisit the effectiveness of land use densification as a strategy to promote travel sustainability by investigating the nonlinearity and mediation in the effects of residential densities on home-work distance, car ownership, and driving distance. Using a 2017 travel survey dataset in Beijing, we adopt a quadratic generalized multilevel structural equation model to estimate nonlinear and mediating effects simultaneously. Results suggest that the total effects of densities on home-work distance, car ownership, and driving distance are significantly curvilinear. Over-densification may result in marginal or even countervailing travel consequences. The appropriate level of residential density should lie below a threshold at around 18,000 persons/km2. Moreover, the densification policy in low-density neighborhoods may have a trivial direct effect but a significant indirect effect on driving reduction, through the mediation of other travel decisions. These findings demonstrate the importance of incorporating nonlinearity with mediation to evaluate land use policies, particularly in high-density cities.

Orthographic neighborhood density modulates the size of transposed-letter priming effects

We used transposed-letter (TL) priming to test the lexical tuning hypothesis, which states that words from high-density orthographic neighborhoods have more precise orthographic codes than words from low-density neighborhoods. Replicating standard TL priming effects, target words elicited faster lexical decision responses and smaller amplitude N250s and N400s when preceded by TL primes (e.g., leomn-LEMON) compared with substitution primes (e.g., leuzn-LEMON) overall. We expected that if high-density words have more precise orthographic representations (i.e., with each letter assigned to a specific position), then they should be relatively less activated by TL primes and should give rise to smaller TL priming effects. In line with our prediction, N250 (but not N400 or behavioral) TL priming was significantly smaller for high-density words compared with low-density words over posterior sites. Such an interaction was not observed for pseudoword targets. Consistent with the lexical tuning hypothesis then, this pattern suggests that the nature of the orthographic code used to access lexical representations differs depending on the number of neighboring words in the lexicon. We conclude by discussing how lexical tuning could be implemented in current models of orthographic processing.

What is ‘neighborhood walkability’? How the built environment differently correlates with walking for different purposes and with walking on weekdays and weekends

Residential environments are associated with people's walking behavior. Transit-related, non-transit-related, and recreational walking may be differently associated with residential environments on weekdays and weekends, but empirical evidence is scarce. We therefore examined 1) to which extent these types of walking correlated with natural and built environmental characteristics of residential neighborhoods, 2) how these correlations differ for walking on weekdays and weekends, and 3) what substitution and complementarity effects between different types of walking exist. Our sample comprised 92,298 people aged ≥18 years from the pooled Dutch National Travel Survey 2010–2014. Multivariate Tobit regression models were used to assess the associations between the natural and built environment and the three types of walking (in average minutes per day). Our models accounted for cross-correlations between the walking types. Our results showed that denser residential areas encouraged both longer transit-related and non-transit-related transport walking on weekdays and weekends, whereas lower density neighborhoods were positively associated with recreational walking on weekdays. Shorter distances to public transport were only significantly associated with transit-related transport walking on weekdays. Shorter distances to daily facilities were positively associated with non-transit-related transport on weekdays. No significant associations between built environment and recreational walking were found on weekends. Additionally, some compensation effects between different types of walking seem to be at play: during weekends, recreational walking was inversely correlated with transit-related transport walking. Residential environments seem to affect walking types in a different way, suggesting that one size fits all policies might be less effective. Intervention strategies should be tailored for each walking type separately.

Residents' preferences for private amenities and trade-offs associated with various spatial densities and patterns

ABSTRACT Northwest Arkansas planning policies, like a number of communities across the country, have identified goals working toward more sustainable, livable, and subsequently denser development patterns. However, the understanding of residents’ perceptions of such living arrangements is limited. This study provides a more nuanced understanding of Northwest Arkansas residents’ spatial preferences through a survey of residents’ preferences for private amenities and their trade-off with various spatial densities and patterns in support of sustainability. Results of the survey indicate a preference for, and experience with, single-family residential living arrangements and amenities, with the preponderance (80%) of survey respondents currently living in single-family housing. There is a preference for low-density neighborhoods even if it means sacrificing other amenities. This study is in alignment with previous research suggesting that people may learn to prefer where they live. Additionally, while the majority of survey respondents indicated a preference for communal greenspaces, renters are more likely to prefer communal greenspaces when compared to homeowners. This study indicates that attached, multi-family development and renter development in Northwest Arkansas should consider the provision of communal green spaces, walkable access to transit, and walkable access to services as desired amenities for those residents.