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This study aimed to explore the spatial accessibility dynamics of urban parks and their driving forces from 1901 to 2010 in terms of the dynamic relationships between spatial morphology and road networks, taking Nanjing City as an example.

This study mapped and examined the spatiotemporal distribution of urban parks and road networks in four time points at Nanjing: the 1910s, 1930s, 1960s and 2010s, using the analysis methodology of spatial design network analysis, kernel density estimation and buffer analysis. Two approaches of spatial overlaying and data analysis were adopted to investigate the accessibility dynamics. The spatial overlaying compared the parks' layout and the road networks' core, subcore and noncore accessible areas; the data analysis clarified the average data on the city-wide and local scales of the road networks within the park buffer zone.

The analysis of the changing relationships between urban parks and the spatial morphology of road networks showed that the accessibility of urban parks has generally improved. This was influenced by six main factors: planning implementation, political policies, natural resources, historical heritage and cultural and economic levels.

The results provide a reference for achieving spatial equity, improving urban park accessibility and supporting sustainable urban park planning.

An increasing number of studies have explored the spatial accessibility of urban parks through the relationships between their spatial distribution and road networks. However, few studies have investigated the dynamic changes in accessibility over time. Discussing parks' accessibility over relatively long-time scales has practical, innovative and theoretical values; because it can reveal correlational laws and internal influences not apparent in short term and provide reference and implications for parks' spatial equity.

The retail property market is constantly adopting to the continuous demand of retailers and their consumers. This paper aims to investigate retail property market dynamics through spatial accessibility measures of the City of York street network. It explores how spatial accessibility metrics (SAM) explain retail market dynamics (RMD) through changes in the city’s retail rental values and stock.

Valuation office agency (VOA) data sets (aspatial) and ordnance survey map (spatial) data form the empirical foundation for this investigation. Changes in rental value and retail stock between 2010 and 2017 VOA data sets represent the RMD variables. While, the configured street network measures of Space Syntax, namely, global integration, local integration, global choice and normalised angular choice form the SAM variables. The relationship between these variables is analysed through geo-visualisation and statistical testing using GIS and SPSS tools.

The study reveals that there has been an overall negative changes of 15 and 22% in rental value and retail stock, respectively, even though some locations within the sampled city (York, North Yorkshire, England) indicated positive changes. The study further indicated that changes in retail rental value and stock have occurred within locations with good accessibility index. It also verifies that there are spatial and statistical relationship between variables and 22% of RMD variability was jointly accounted for by SAM.

This research is first to investigates changes in retail property market variables through spatial accessibility measures of space syntax. It contributes to the burgeoning research field of real estate and Space Syntax.

This paper is an attempt to bridge the gap between, on the one hand, the mobility behaviour of households and their perception of accessibility to urban amenities and, on the other hand, house price dynamics as captured through hedonic modelling.

In order to analyse the mobility behaviour of individuals and households, their sensitivity to travel time from home to service places is estimated so as to assess their perceived accessibility, using “subjective” indices based on actual trips, as reported in the 2001 origin‐destination survey designed for Quebec City. For comparative purposes, both objective and subjective accessibility indices based, in the former case on observed travel times and, in the latter case on fuzzy logic criteria, are computed and used as a complement to a centrality index in a hedonic model of house prices.

Findings indicate that there are statistically significant differences in the way accessibility is structured depending on trip purposes and household profiles. They also suggest that, while an objective measure of accessibility yields good results, resorting to subjective, and more comprehensive, accessibility indices derived from fuzzy logic provides greater insight into the understanding of commuting patterns and travel behaviour of people.

Better understanding the complexity of individuals’ and households’ mobility behaviour should result in more adequate initiatives and decisions being taken by transportation and city planning authorities.

Accessibility to jobs and services has long been known as a major determinant of urban, residential and non residential, rents. Yet, it is more often than not assumed to derive from a rather straightforward process, which this paper shows is not the case.

The purpose of this paper is to model housing price temporal variations and to predict price trends within the context of land use–transportation interactions using machine learning methods based on longitudinal observation of housing transaction prices.

This paper examines three machine learning algorithms (linear regression machine learning (ML), random forest and decision trees) applied to housing price trends from 2001 to 2016 in the Greater Toronto and Hamilton Area, with particular interests in the role of accessibility in modelling housing price. It compares the performance of the ML algorithms with traditional temporal lagged regression models.

The empirical results show that the ML algorithms achieve good accuracy (R² of 0.873 after cross-validation), and the temporal regression produces competitive results (R² of 0.876). Temporal lag effects are found to play a key role in housing price modelling, along with physical conditions and socio-economic factors. Differences in accessibility effects on housing prices differ by mode and activity type.

Housing prices have been extensively modelled through hedonic-based spatio-temporal regression and ML approaches. However, the mutually dependent relationship between transportation and land use makes price determination a complex process, and the comparison of different longitudinal analysis methods is rarely considered. The finding presents the longitudinal dynamics of housing market variation to housing planners.

Within individual countries, the paths towards increasing educational attainment are not always linear and individuals are not equally affected. Differences between boys’ and girls’ educational attainments are a common expression of this inequality as boys are more often favored for continued schooling. We examine the importance of birth cohort, sibship size, migration, and school accessibility for explaining both the gender gap and its narrowing in secondary schooling in one district in Northeast Thailand between 1984 and 1994. Birth cohort is a significant explanation for the narrowing of the gender gap. Migration, sibship size, and remote village location are important explanations for limited secondary education opportunities, especially for girls.

Purpose: This chapter examines how healthcare technologies (electronic medical records, personal cell phones, and pagers) help manage patient care work to accelerate processes of communication and blur boundaries between work time and non-work time, thereby revealing dynamics of power as indicated through temporal capital, or the amount of time under an individual’s control.

Method: The data were collected from 35 in-depth semistructured interviews of health practitioners, which included 26 physicians, 7 nurses, and 2 administrators.

Findings: Communication technologies fulfill promises of temporal autonomy and efficiency, but not without cost, particularly as it intersects with organizational/institutional power structures and non-work-related social factors such as pre-existing technological literacy and proficiency. The blurring of work and non-work time gives practitioners perceived higher quality of life while also increasing temporal flexibility and autonomy. The higher up one is in the relevant hierarchy, the more control one has over one’s own time, resulting in higher levels of temporal capital. The power hierarchies serve to complicate the potential recuperation of temporal capital by communication technologies.

Implications: This study uses a critical cultural perspective that takes into consideration structures of institutional power hierarches impact temporal organization through the use of communication technologies by health practitioners. Practitioner-facing research is particularly crucial given the high rates of burnout within the profession and concerns around the well-being of health practitioners, and autonomy and control over one’s time is a factor in work and life satisfaction.

This chapter aims to investigate how a range of emerging trends within the international community can be used to build a connective educational ecosystem based on an inclusive and universal process (Biggeri et al., 2017; Ziegler, 2017). The starting question is: how multidisciplinary teams in Italy could take action toward inclusive education?

Partnering is becoming a central system organization strategy for schools to adopt for successful innovative teams with creative educational ideas (Kelly et al., 2002), and here it is declined in the Italian context in which inclusive education was officially embraced in 1977 as a national policy (D'Alessio, 2011). National legislation (104/92 Law) made explicit the mandate that students with disabilities receive their education (to the maximum extent possible) with nondisabled peers in the general education classroom using appropriate supplemental aids and services in the least-restrictive environment (Anastasiou et al., 2015; Canevaro & de Anna, 2010).

It is crucial to encourage new forms of practice which require collaboration capabilities (Hattie, 2015; Vangrieken et al., 2015) between multidisciplinary teams that comprised general teachers, special education teachers, health professionals, school psychologists, school leaders, and the students' family (Meirink et al., 2010). These resources could be distributed across inclusive ecosystems to support all students by enabling them to prosper in an increasingly diversified and complex environment in which creativity, ability to innovate, entrepreneurship, and a commitment to continuous learning are joint and connective (EU, 2008). This creates a state of positive multiagency collaboration that promotes the well-being of students and the system.

The purpose of this study is to understand the investment decision-making of real estate investors in housing, highlighting the interplay between rational and irrational factors. In this study, investment satisfaction was a mediator, while reinvestment intention was the dependent variable.

A quantitative, cross-sectional and descriptive research design was used, gathering data from a sample of 550 residential real estate investors using a multi-stage stratified sampling technique. The partial least squares structural equation modelling disjoint two-stage approach was used for data analysis. This methodological approach allowed for an in-depth examination of the relationship between rational factors such as location, profitability, financial viability, environmental considerations and legal aspects alongside irrational factors including various biases like overconfidence, availability, anchoring, representative and information cascade.

This study strongly supports the adaptive market hypothesis, showing that residential real estate investor behaviour is dynamic, combining rational and irrational elements influenced by evolutionary psychology. This challenges traditional views of investment decision-making. It also establishes that behavioural biases, key to adapting to market changes, are crucial in shaping residential property market efficiency. Essentially, the study uncovers an evolving real estate investment landscape driven by evolutionary behavioural patterns.

This research redefines rationality in behavioural finance by illustrating psychological biases as adaptive tools within the residential property market, urging a holistic integration of these insights into real estate investment theories.

The study reshapes property valuation models by blending economic and psychological perspectives, enhancing investor understanding and market efficiency. These interdisciplinary insights offer a blueprint for improved regulatory policies, investor education and targeted real estate marketing, fundamentally transforming the sector’s dynamics.

Unlike previous studies, the research uniquely integrates human cognitive behaviour theories from psychology and business studies, specifically in the context of residential property investment. This interdisciplinary approach offers a more nuanced understanding of investor behaviour.