Different Types Of Residents Research Articles

Understanding the relationship between perceived accessibility, housing and transport equity of different types of residents: A structural equation modelling approach

This study uses structural equation modelling (SEM) to analyse the relationship between perceived accessibility, housing and transport equity and their influencing factors in Nanjing, China. It aims to address the current shortfall in studies to compare differences in perceived (rather than objective) measures of accessibility using a transport equity lens. A comparison sample of 664 affordable housing residents and 828 commercial housing residents living in different locations across the city was collected through an online survey. The research shows that affordable housing residents are in a more disadvantaged position than commercial housing residents based on their perceived accessibility, housing and transport equity evaluation results are all worse than those of commercial housing residents. Therefore, two SEM models were constructed to understand the underlying factors driving these perceptions. The results show that both housing location and transport provision significantly affect perceived accessibility, housing and transport equity. Improving people’s transport affordability is the most effective way to improve perceived accessibility, and transport equity for both groups, however, improving the housing environment is more critical for affordable housing residents, while improving housing affordability is more important for commercial housing residents.

Mapping the X-Minute City: Visualizing how different types of residents interact with their “15-Minute Cities”

Mapping the X-Minute City: Visualizing how different types of residents interact with their “15-Minute Cities”

Beijing Symbiotic Courtyard Model’s Post Evaluation from the Perspective of Stock Renewal

Stock renewal is one of the important methods of urban renewal, which focuses on optimizing and reusing existing urban spaces. With the increasing land pressure in present-day China and the need for land to be reclassified, the thinking mode of stock updating has become increasingly important. Beijing symbiotic courtyard is a representative urban renewal model that combines the characteristics of traditional quadrangle dwelling and modern architecture, aiming to achieve the symbiosis of history and modernity. After several years of implementation, the effectiveness of this model has become a matter of concern for all parties involved. Therefore, this paper takes stock renewal as the observation perspective, describing an evaluation for the Beijing symbiotic courtyard model, which contains different types of residents living in particular historical districts. It attempts to propose corresponding strategies, aiming to provide a more comprehensive thinking angle and planning method for the sustainability of stock renewal. In contrast to earlier studies, the proposed methods involve a specific mathematical statistical model called the IPA-KANO model, in addition to other traditional urban renewal methods. For a wide range of problems including historical district evaluation and renewal, the approach leads to potentially less errors than caused by manual operation. This comes from the fact that all the data are collected through survey questionnaires and big data, so the technical restriction of using mathematical model is to some extent ruled out in this new approach. Moreover, the approach offers new potential problems that cannot be handled using earlier techniques. After the calculation, although there are still defects, local residents are generally satisfied with the Beijing symbiotic courtyard model. The result suggests that it is of importance to reference this model for urban renewal so that can be widely promoted in historical district vitality regeneration.

Residents’ perceptions of ecosystem services in an urbanizing basin: A case study in the Guanting Reservoir basin, China

Understanding stakeholders’ differences in perceptions of ecosystem services (ES) is crucial for guiding ecological conservation and planning. However, the variations of ES perception amongst different types of residents in urbanizing areas along an urban-rural gradient are still poorly understood. Combining a questionnaire-based survey, redundancy analysis, and statistical tests, we delineated the urban-rural gradient according to local residents’ socio-economic characteristics, and investigated the differences in local residents’ perceptions of ES and potential factors affecting them in the Guanting Reservoir basin, a rapidly urbanizing basin in China. The results showed that residents living in urban-rural transitional areas attached great importance to provisioning services of providing food and domestic water, regulating services of carbon sequestration and air purification, and cultural services of providing education and training, which were 0.7%–13.1%, 0.7%–9.1% and 2.5%–21.2% higher than that of residents in other areas, respectively. Age and occupation were major factors affecting residents’ perceptions. In terms of land-use types that deliver ES, the difference in perceptions of ES delivered by grassland was the greatest amongst residents. Our results support recommendations for policymakers to take into account the stakeholders’ diverse perceptions, thus promoting residents’ sense of gain on ES.

Types of Resident and Price Distribution in Urban Areas: An Empirical Investigation in China Mainland.

Finding an ideal residence in the city is a common and long-lasting topic for city residents. Therefore, understanding the value composition of urban residences and consumer preference can assist other future consumers in purchasing the appropriate residence in the appropriate urban location. Similarity, this information is helpful to municipal government planners in determining the use of urban land, to real estate developers in choosing where to develop commercial residences, and to the relevant research community in determining the effects of changes on the use of urban land. Although the study on housing prices influencing variables has long attracted scholarly attention, there has been limited research on the types of residences and developers, so it is essential to expand the research on this subject. In the study, Fuzhou, China, serves as the research context. The study employs econometrics to investigate the impact of residence and developer types on housing prices. Based on the study, it is shown that the price of commercial residences can vary depending on the types of residences and developers. The study also revealed that different types of residences and developers are subject to distinct levels of price regulation. In addition, it is found that different housing price impact variables have varying degrees of impact on different types of commercial residences and developers.

Do Deep Regional Trade Agreements Improve Residents' Health? A Cross-Country Study.

The development trend of deepening regional trade agreements (RTAs) is becoming more prominent, traditional RTAs based on border terms continue to shift to deep RTAs based on the high level of border terms and a series of post-border terms, but the relationship between deep RTAs and residents' health has not drawn much attention. Based on Gallup World Poll data from 2009 to 2017 covering 786,040 respondents in 143 countries, this study empirically examined the impact of deep RTAs on the health of residents as well as its influence mechanisms by using the combination of fixed effects and stepwise regression. The results show that deep RTAs have a significantly positive impact on residents' health, which means that an increase in the depth of RTAs can improve residents' health. However, the impact of deep RTAs on residents' health is heterogeneous, caused by the different terms of RTAs, the different income levels of different countries, and the different types of residents. Meanwhile, deep RTAs mainly improve the health of residents through employment effects and environmental effects. This study highlights the importance of deep RTAs for improving the health of residents and provides new ideas for governments to assist in the formulation of policies that can effectively improve their residents' health.

A Game-Theoretic Approach to Design Solar Power Generation/Storage Microgrid System for the Community in China

The utilization of solar power generation/storage microgrid systems has become an important approach, transforming the energy structure of China in order to achieve the emission peak and carbon neutrality. Meanwhile, the commercialization of household photovoltaic (PV) systems is also at the transitional period between its beginning to its maturity. This study considers developers intending to invest in building community microgrids with the concept of sustainable development, and focuses on the relationship between the developers and residential users. Firstly, an operation framework considering the autonomous behavior patterns of stakeholders is proposed. Then, a two-level mathematical programming model based on the leader–follower game is established in this paper. In the upper level, the developer decides the capacity size and the system price of the microgrid system in order to maximize profit. In the lower level, the residential users in the community optimize their power consumption behaviors in the microgrid system taking into account both benefit and fairness. They need to decide whether to support the construction of a microgrid system by comparing their electricity bills before and after participating in a microgrid system. Through solving the model and analyzing the relationship between the two sides of the game, it can be seen that only by designing the optimal system configuration and coordinating with weather conditions in terms of better sunshine intensity can the developer and all kinds of users benefit from the project under the current market data. Meanwhile, the users with higher power consumption benefit more from the microgrid system among different types of residents. Under the market structure dominated by developer, the government’s PV subsidy will greatly increase the revenue of system developer. However, it does not increase the installed capacity of system, nor does it bring more benefits to residential users. Moreover, compared with the independent operation mode, the centralized management mode can bring more benefits to both sides and encourage the developer to build larger installations.

Local Residents’ Social-Ecological Adaptability of the Qilian Mountain National Park Pilot, Northwestern China

Protected areas are critical for biodiversity conservation and ecosystem services. In the last few years, there has been growing recognition of the role of indigenous peoples and local communities in the management of government designated protected areas, and thus their perceptions and adaptability were paid much attention. Drawing on a survey of 487 residents in the Qilian Mountain National Park Pilot of Northwestern China, this study used the adaptive analysis framework to study the adaptability of local residents. The main contribution of this paper is to select a typical social-ecological system to study the adaptability of local residents, and using Elinor Ostrom’s Social-Ecological System framework to analyze the adaptability mechanism. The results show that different types of residents had different adaptability to environmental change. People whose income mainly depends on work salary with a small part of herding have the highest level of adaptability, while people whose income mostly comes from farming with a small part of herding have the lowest level. This result is related to people’s living location, as people living in the core zone and buffer zone of the reserve mainly earned from grazing, and people living in the experimental zone and peripheral zone earned mainly from outside work. Moreover, people living in the core zone and buffer zone are mostly elders and ethnic groups, while people in the experimental zone and buffer zone are Han people. To improve management effectiveness and to avoid conflict between local residents and managers, this paper suggests that more attention should be paid to these who have lived for a long time in the core zone and buffer zone. They are the most vulnerable groups and show low adaptability in almost all domains. For the long run, education quality should be improved to decrease the population in the reserve.

An Analysis of Community Group Buying Behavior of Urban Residents Based on Big Data

By using keywords crawled by big data as a survey reference, this research applied latent category clustering method and binary logistic regression model analysis method to analyze the differences in community group buying behaviors of residents from different city scale and summarize the shopping behavior and features of different types of residents, for the purpose of offering advice on different marketing methods for different types of urban residents, so as to realize the precise marketing of community e-commerce and promote the further development of the industry.

The Different Types of Residents and the Precedence Order of Community Mobilization

Community development is inseparable from the residents’ participation. However, in the post unit society of China, community mobilization often encounters the dilemma of insufficient participation. Methods to put forward targeted community mobilization strategies according to the types of residents and their participation levels is the aim of this paper. The findings show that there are four types of residents: red armbands, masked men, followers and sarcasm men. Different types of residents have different participation level. Community mobilization needs not only targeted strategies that depends on the types of residents, but also a precedence order.

The Impact of Rising Housing Rent on Residents’ Consumption and Its Underlying Mechanism: Empirical Evidence from China

Based on 465 panel data from 31 provinces, autonomous regions, and municipalities in China from 2001 to 2015 (data come from “China Statistical Yearbook”), static and dynamic panel models were established by Stata16.0 software to analyze the impact of housing rent on household consumption. In order to explore the specific impact of rising housing rents on residents’ consumption, and then adjust housing policies to stimulate consumer demand, this article analyses three research topics: (a) the impact of rising housing rent on the overall consumption level of residents and whether there are regional differences; (b) the internal mechanism underlying the effect of rising housing rent on residents’ consumption; and (c) the different impacts of rising housing rent on different types of residents’ consumption by establishing fixed-effects and random-effects models. The results show that a rise in housing rent causes a wealth effect on residents’ consumption at the national level in all regions. The upgrading of the industrial structure plays a positive role in the relationship between the fluctuation in housing rent and residents’ consumption, that is, the more rational the industrial structure, the stronger the wealth effect of rising housing rent on residents’ consumption. The rise in housing rent positively affects residents’ daily necessities and services consumption; transportation and telecommunication consumption; education, culture, and entertainment consumption; and habitation consumption; while negatively affects food, tobacco, and alcohol consumption; clothing consumption; and other supplies and services consumption. However, the impact on health care consumption is not significant. Accordingly, the government should start by improving the housing rental market and reasonably promote the further development of the housing rental market, thereby further stimulating Chinese consumption level.

Epidemic spreading in heterogeneous networks with recurrent mobility patterns.

Much recent research has shown that network structure and human mobility have great influences on epidemic spreading. In this paper, we propose a discrete-time Markov chain method to model susceptible-infected-susceptible epidemic dynamics in heterogeneous networks. There are two types of locations, residences and common places, for which different infection mechanisms are adopted. We also give theoretical results about the impacts of important factors, such as mobility probability and isolation, on epidemic threshold. Numerical simulations are conducted, and experimental results support our analysis. In addition, we find that the dominations of different types of residences might reverse when mobility probability varies for some networks. In summary, the findings are helpful for policy making to prevent the spreading of epidemics.

Identifying Flow Clusters Based on Density Domain Decomposition

Flow clustering is one of the most important data mining methods for the analysis of origin-destination (OD) flow data, and it may reveal the underlying mechanisms responsible for the spatial distributions and temporal dynamics of geographical phenomena. Existing flow clustering approaches are based mainly on the extension of traditional clustering methods to points by redefining basic concepts or some spatial association indictors of flows and the implementation of classic clustering processes, such as aggregating, collecting or searching. However, current techniques still suffer from two main problems: poor identification accuracy and complicated parameter selection processes. To resolve these problems, a new clustering method is proposed in this study for arbitrarily shaped flow clusters based on the density domain decomposition of flows. Simulation experiments based on our method and existing methods show that our method outperforms the three most commonly used methods in terms of the overall identification rate and almost all F1 measures, and it does not require any manual adjustments during the parameter selection process. Finally, a case study is conducted on taxi trip data from Beijing. Several flow clusters are identified to represent different types of residents' travel behaviors, including daily commuting, return travel, tourism and behaviors on special days.

Aging and the changing urban environment: the relationship between older people and the living environment in post-reform Beijing, China

ABSTRACT The Chinese population is aging rapidly. In Beijing, older people’s immediate environments have seen great changes and are important for their everyday aging experiences. This study explains the changing relationships between older people and their living environments by conducting in-depth interviews with 47 older people living at home in Beijing. Results show that older people’s perceptions of their living environments can be categorized by their relocation experience, residential and neighborhood type. Growing housing inequality in post-reform urban China reflects how older people assess their built environments changes. Social relations have changed tremendously with the formation of new social and residential spaces in the city, especially for those who have relocated to different types of residences. Current urban spaces create a sense of insecurity for the older generation that is familiar with the previous Work-unit system.

Perspectives of Socio-Spatial Differentiation from Soaring Housing Prices: A Case Study in Nanjing, China

Launched in 1998, the market-oriented reform of urban housing has given urban housing the dual attributes of residence and investment, and led to the rapid growth of housing prices as well as the intensification of its spatial differentiation within cities. However, the spatial patterns of the differentiation and its mechanism as well as socio-spatial effects are rarely touched. This paper studies 3963 urban residential districts in central Nanjing and explores the socio-spatial differentiation pattern and process of the urban housing prices and its growth in Nanjing based on the sample data of housing transactions over 30 quarters during the period of 2009–2017. The paper concludes that, by splitting the research duration into phases of six quarters each, the average housing prices in Nanjing alternates between “rapid growth” and “relatively stable” phases. At the same time, this paper finds that the spatial heterogeneity of housing prices in the city has been enhanced constantly, and the price gap in different types of residential housing has been clearly widened. In combination with the price level, location characteristics and architectural attributes of residential districts, this paper has categorized housing in Nanjing into nine typical types in a comprehensive manner. Based on the differences in their spatial attributes such as location, comfort and scarcity etc., different types of residences exhibit different pricing and price-to-rent ratio growth models. Based on those findings, we discussed the mechanism of the socio-spatial differentiation of housing prices in Nanjing from the housing reform and strategies of urban renewal and expansion. Beyond that, we discussed the role of urban housing consumption in the process of (re)production of urban classes, and its negative effects on urban young people, rural immigrants and other disadvantaged families. At the end of the paper, the policy suggestion about the supply-side reform of the housing market to promote socio-spatial equity and sustainable development is also presented.

Evacuee Perception of Geophysical Hazards for Hurricane Irma

AbstractHurricane Irma was one of the strongest Atlantic hurricanes in history before landfall and caused a large evacuation. A total of 155 evacuees at interstate rest areas were asked to rank their concern about damage at their residence for six different geophysical hurricane hazards. Additionally, they were asked about their perceived maximum wind speeds (PMWS) and the wind speeds at which they thought damage would occur (DW) at their residence. These wind speeds were then compared to the actual peak wind gusts (APG) nearest to each resident’s location. Results show a significantly greater concern for wind and storm size, compared to other hazards (tornadoes, rainfall/flooding, storm surge, falling trees). The mean PMWS of evacuees was greater than the mean APG, suggesting widespread misperception of wind speeds. Furthermore, the mean APG was less than the mean DW, and the mean PMWS was also higher than the DW. Additional tests found no significant differences in wind perception between residents with previous storm experiences and no experience, and no significant differences between those who resided in mandatory evacuation zip codes and those who did not. These results suggest that wind speed risk is poorly understood, even though it is a high concern for evacuees from hurricanes. The communication of wind speed risk in forecasts should possibly be modified by placing greater emphasis on postlandfall impacts, wind speed decay after landfall, and wind speeds that cause damage to different types of residences.

Chief Resident Skills: A Study on Resident Perceptions of Skill Importance and Confidence

CONTEXTChief residents (CRs) generally play a pivotal role in the graduate medical education mission to facilitate the professional development of resident physicians. Courses designed to prepare CRs for their new role previously have primarily focused on developing their teaching, evaluation and interpersonal communication skills. What remains unclear is how different types of residents (CRs versus Non-CRs and men versus women) may vary in their perception of how important particular skills are, and their confidence in performing these same skills. The purpose of this cross-sectional descriptive correlational study was to investigate the potential differences in sample respondents’ perceived importance of CR skills and respondents’ perceived confidence to perform these skills.METHODSThe authors administered a 28-item survey questionnaire to a population of 457 CR and Non-CR respondents from 20 clinical specialties regarding their perceived importance of 11 skills, as well as their self-assessed confidence in performing each skill. This study also sought to examine whether gender-based differences existed for the perceived importance and confidence of these same CR skills.RESULTSStatistically significant differences in perceived importance and confidence levels between sample subgroups for the majority of key CR skills were observed. When asked about importance of CR skills, both CR and Non-CR respondents identified administrative and time management skills as most important, contrary to the other types of skills (e.g., teaching skills) the authors had generally expected to be most highly rated. As expected, the largest overall gap in perceived importance and self-reported confidence as either a CR or Non-CR was in the area of conflict management. Males reported higher confidence than females in each of the CR skills, with differences for five items found to be statistically significant. (p < 0.05) CR respondents also reported higher confidence in performing 10 of 11 skills at statistically significant levels. (p < 0.05)CONCLUSIONSAlthough this project contributes baseline data from a relatively large sample, further studies are still required to replicate these results in other resident populations to further examine the perceptions of contemporary resident physicians concerning this vital role.

Motivation to maintain sobriety among residents of sober living recovery homes.

BackgroundThe study of motivation in the substance abuse field has typically examined the extent to which substance users want to quit or reduce substance use. Less frequently examined is the desire to maintain sobriety after achieving abstinence. The current study examined motivation to maintain sobriety among residents of sober living houses (SLHs), a type of recovery home for individuals with alcohol and drug problems. Previous research on this population showed favorable longitudinal outcomes over 18 months. Resident views about the costs of not using substances (ie, the difficulties encountered when not using), as well as the perceived benefits of not using, were strong predictors of substance use outcomes.MethodsThis study adds to these findings by conducting two focus groups with individuals familiar with the structure and day-to-day operations of SLHs, including administrators of SLH organizations, owners, and peer managers.ResultsFocus group results supported the importance of costs and benefits as motivational forces influencing abstinence. However, participants also emphasized characteristics of the sober living recovery environment as important factors influencing motivation. Interactions among recovering peers offer unique opportunities for feeling understood, recognizing vulnerability in others, identifying with the recovery processes of others, receiving supportive confrontation, and engaging in mutual accountability. These experiences are important elements of motivation that become activated by involvement in the SLH environment and are difficult to replicate outside of that context.ConclusionIn addition to recognizing how motivation can be enhanced by addressing costs and benefits experienced by individuals, operators of recovery homes need to understand motivation as a function of the recovery home social environment. Additional studies are needed on motivation as a longitudinal construct in a variety of peer-oriented environments. Studies are also needed to better specify interactions within SLHs that increase and hinder motivation among different types of residents.

Pediatric emergency medicine asynchronous e-learning: a multicenter randomized controlled Solomon four-group study.

Asynchronous e-learning allows for targeted teaching, particularly advantageous when bedside and didactic education is insufficient. An asynchronous e-learning curriculum has not been studied across multiple centers in the context of a clinical rotation. We hypothesize that an asynchronous e-learning curriculum during the pediatric emergency medicine (EM) rotation improves medical knowledge among residents and students across multiple participating centers. Trainees on pediatric EM rotations at four large pediatric centers from 2012 to 2013 were randomized in a Solomon four-group design. The experimental arms received an asynchronous e-learning curriculum consisting of nine Web-based, interactive, peer-reviewed Flash/HTML5 modules. Postrotation testing and in-training examination (ITE) scores quantified improvements in knowledge. A 2 × 2 analysis of covariance (ANCOVA) tested interaction and main effects, and Pearson's correlation tested associations between module usage, scores, and ITE scores. A total of 256 of 458 participants completed all study elements; 104 had access to asynchronous e-learning modules, and 152 were controls who used the current education standards. No pretest sensitization was found (p = 0.75). Use of asynchronous e-learning modules was associated with an improvement in posttest scores (p < 0.001), from a mean score of 18.45 (95% confidence interval [CI] = 17.92 to 18.98) to 21.30 (95% CI = 20.69 to 21.91), a large effect (partial η(2) = 0.19). Posttest scores correlated with ITE scores (r(2) = 0.14, p < 0.001) among pediatric residents. Asynchronous e-learning is an effective educational tool to improve knowledge in a clinical rotation. Web-based asynchronous e-learning is a promising modality to standardize education among multiple institutions with common curricula, particularly in clinical rotations where scheduling difficulties, seasonality, and variable experiences limit in-hospital learning.

Introduction to the Special Issue: Architecture Enhances Mutual Aid in Sober Living Houses.

Introduction to the Special Issue: Architecture Enhances Mutual Aid in Sober Living Houses.