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This paper aims to consider the relationship between urban events and urban public space, asking whether cities have enough space for events and whether events have enough space in cities.

Policy analysis surrounding events and festivals in the Netherlands is used to understand the dynamics of urban events, supported by content analysis of policy documents. A vignette of event space struggles in Amsterdam illustrates the contradictions of the event/space relationship.

The research identifies a policy shift in the Netherlands towards urban events from expansive, festivalisation strategies to defensive, NIMBYist policies. It exposes contradictions between protecting space as a living resource and the exploitation of space for regenerative purposes. Three future scenarios for urban events are outlined: conflict and competition, growth and harmony and digitalisation and virtualisation.

Develops scenarios for the future relationship between events and urban space.

Provides an analysis of the recursive spatial implications of the growth of the events sector for cities and the growth of cities for events.

The purpose of the study is to examine the efficiency of linear, nonlinear and artificial neural networks (ANNs), in predicting property prices.

The present study uses a dataset of 1,468 real estate transactions from 2020 to 2022, obtained from the Department of Property Taxes of Republic of Kosovo. Beginning with a fundamental linear regression model, the study tackles the question of overlooked nonlinearity, employing a similar strategy like Peterson and Flanagan (2009) and McCluskey et al. (2012), whereby ANN's predictions are incorporated as an additional regressor within the ordinary least squares (OLS) model.

The research findings underscore the superior fit of semi-log and double-log models over the OLS model, while the ANN model shows moderate performance, contrary to the conventional conviction of ANN's superior predictive power. This is notably divergent from the prevailing belief about ANN's superior predictive power, shedding light on the potential overestimation of ANN's efficacy.

The study accentuates the importance of embracing diverse models in property price prediction, debunking the notion of the ubiquitous applicability of ANN models. The research outcomes carry substantial ramifications for both scholars and professionals engaged in property valuation.

Distinctively, this research pioneers the comparative analysis of diverse models, including ANN, in the setting of a developing country's capital, hence providing a fresh perspective to their effectiveness in property price prediction.

Climate hazards in the form of cyclones are projected to become more intense under the pressures of future climate change. These changes represent a growing hazard to low lying coastal cities like Beira, Mozambique. In 2019, Beira experienced the devastating impact of Cyclone Idai. One of the many impacts resulting from this Cyclone was disrupted drinking water access. This investigation explores the distribution of Cyclone Idai’s impact on drinking water access via an environmental justice lens, exploring how preexisting water access characteristics may have predisposed households to the impacts of Cyclone Idai in Beria.

Relying on household survey data collected in Beira, the investigation applied a decision tree algorithm to investigate how drinking water disruption was distributed across the household survey sample using these preexisting vulnerabilities.

The investigation found that households that mainly relied upon piped water sources and experienced inconsistent access to water in the year prior to Cyclone Idai were more likely to experience disrupted drinking water access immediately after Cyclone Idai. The results indicate that residents in formal areas of Beira, largely reliant upon piped water supply, experienced higher rates of disrupted drinking water access following Cyclone Idai.

These findings question a commonly held assumption that informal areas are more vulnerable to climate hazards, like cyclones, than formal areas of a city. The findings support the inclusion of informal settlements in the design of climate change adaptation strategies.

Municipalities seek new opportunities for co-producing services in rural areas. One potential partner is community-based social enterprises (CBSEs). However, whilst service co-production through CBSEs obscures the traditional roles of actors, it may lead to a legitimation crisis in local service provision. In this paper, the ways CBSEs are legitimised as service providers in rural areas are addressed from the CBSE and municipality perspectives.

Empirical data combine interviews with CBSE representatives and open-ended national survey responses from municipality decision-makers. The data analysis is based on a qualitative content analysis to examine legitimation arguments.

Results show that unestablished legitimacy and un-institutionalised support structures for co-production models build mistrust between CBSEs and municipalities, which prevents the parties from seeing the benefits of cooperation in service production.

The research focusses on the legitimation of CBSEs in service co-production in rural areas. As legitimation seems to be a context-specific process, future research is needed regarding other contexts.

Municipalities interested in the co-production of services might benefit from establishing a collaborative and responsive (rural) service policy forum that would institutionalise new models of co-production and enable better design and governance of service provision.

Results will give new theoretical and practical insights into the importance of legitimacy in the development of service co-production relationships.

This paper aims to explore the opinions of business owners in an industrial area of Abu Dhabi that could be potentially turned into an art tourism destination.

By mobilizing the concept of “gentrification aesthetics,” the authors use a recall technique to explore support toward art from business owners, regression analyses to understand how the type and content of art predicts gentrification support and chi-square to research the differences between respondents who support the area to become a creative place and those who do not.

A model that explains the connection between gentrification aesthetics and art tourism is presented.

The authors’ proposed model results from testing the possibilities for expanding art tourism specifically and may not apply to other types of tourism. Future research is needed to understand whether and how the model can be applied to other forms of tourist consumption.

The current research presents a case study on how tourism can be strategically expanded into more rural places in a city.

The authors found significant differences between respondents who would like to see Mussafah becoming a creative place in five years and those who believe Mussafah needs to be(come) something else.

While work on tourism gentrification has been conducted, the nexus between gentrification aesthetics and art tourism cannot be found. Their relation can help to expend (art) tourism from busy cultural attractions to industrial areas. The present research fills this gap.

The purpose of this paper is to develop a practical implementation blueprint for the attainment of food security for all Nigerians based on sustainable agricultural practices.

This paper conducted a critical review of 66 peer-reviewed empirical articles on various sustainable agricultural case studies. The evidence obtained from this review and the in-depth knowledge of the authors regarding the Nigerian agricultural landscape was used to develop a practical implementation blueprint for achieving food security in the country.

The food security for all Nigerians (FOSFAN) blueprint was developed and comprising of eight practical and interconnected steps. These steps take into consideration the synergistic effort of the government, the ministry of agriculture and its corresponding agencies in ensuring that farmers attain sustainable practices in their endeavour.

The findings of this paper will contribute to existing literature on food security and will also serve as a baseline for deeper empirical exploration of the impact of sustainable agricultural practices on food security in Nigeria (a country in the Sub-Saharan region).

The FOSFAN blueprint provides a practical and comprehensive step-by-step guide, which the Nigerian Ministry of Agriculture can use to achieve food security for all Nigerians.

This paper is addressed towards the development of food security plan in the Nigerian context in which the Nigerian Government ensures the availability of food to all its citizens in a bid to achieve “Zero Hunger”, which is the second Sustainable Development Goal.

The FOSFAN blueprint is a proactive guide that takes into consideration the importance of cultural and socioeconomic nuances in the development of a sustainable agriculture policy in a developing country context.

This chapter addresses the question of what normatively binding claims can be associated with the principle of sustainability. It proposes a theoretical reading of justice that requires a new level of morality, namely a global (spatial), intergenerational (temporal) and ecological (material) extension of the scope of responsibility. This makes it plausible that responsibility for those who are distant in space and time, as well as for nature, becomes a matter of conscience. At the same time, it is shown how the binding claims resulting from the principle of sustainability can be internalised in the course of a conscience formation and how the gap between knowledge and action in questions of sustainable development can be closed by means of an emotional underpinning. Finally, it is proposed to transfer the question of conscience to spatial units and tourism through the model of ‘Destination Conscience’ and to institutionalise the idea of ‘inner commitment’ or self-commitment. One suggestion is the creation of committees that could be a collective ethical conscience for the future issues.

The purpose of this study is to identify the situation of spatial inequality in the residential system of Tehran city in terms of housing prices in the year 2021 and to examine its changes over time (1991–2021).

In terms of purpose, this study is applied research and has used a descriptive-analytical method. The statistical population of this research is the residential units in Tehran city 2021. The average per square meter of a residential unit in the level of city neighborhoods was entered in the geographical information system (GIS) in 2021. Moran’s spatial autocorrelation method, map cluster analysis (hot and cold spots) and Kriging interpolation have been used for spatial analysis of points. Then, the change in spatial inequality in the residential system of Tehran city has been studied and measured based on the price per square meter of a residential unit for 30 years in the 22 districts of Tehran by using statistical clustering based on distance with standard deviation.

The result of spatial autocorrelation analysis with a score of 0.873872 and a p-value equal to 0.000000 indicates a cluster distribution of housing prices throughout the city. The results of hot spots show that the highest concentration of hot spots (the highest price) is in the northern part of the city, and the highest concentration of cold spots (the lowest price) is in the southern part of Tehran city. Calculating the area and estimating the quantitative values of data-free points by the use of the Kriging interpolation method indicates that 9.95% of Tehran’s area has a price of less than US$800, 17.68% of it has a price of US$800 to US$1,200, 25.40% has the price of US$1,200 to US$1,600, 17.61% has the price of US$1,600 to US$2,000, 9.54% has the price of US$2,000 to US$2,200, 6.69% has the price of US$2,200 to US$2,600, 5.38% has the price of US$2,600 to US$2,800, 4.59% has the price of US$2,800 to US$3,200 and finally, the 3.16% has a price more than US$3,200. The highest price concentration (above US$3,200) is in five neighborhoods (Zafaranieh, Mahmoudieh, Tajrish, Bagh-Ferdows and Hesar Bou-Ali). The findings from the study of changes in housing prices in the period (1991–2021) indicate that the southern part of Tehran has grown slightly compared to the average range, and the western part of Tehran, which includes the 21st and 22nd regions with much more growth than the average price.

There is massive inequality in housing prices in different areas and neighborhoods of Tehran city in 2021. In the period under study, spatial inequality in the residential system of Tehran intensified. The considerable increase in housing prices in the housing market of Tehran has made this sector a commodity, intensifying the inequality between owners and non-owners. This increase in housing price inequality has caused an increase in the informal living for the population of the southern part. This population is experiencing a living situation that contrasts with the urban plans and policies.

Despite large bodies of research related to the impacts of e-commerce on last-mile logistics and sustainability, there has been limited effort to evaluate urban freight using an equity lens. Therefore, this study proposes a modeling framework that enables researchers and planners to estimate the baseline equity performance of a major e-commerce platform and evaluate equity impacts of possible urban freight management strategies. The study also analyzes the sensitivity of various operational decisions to mitigate bias in the analysis.

The model adapts empirical methodologies from activity-based modeling, transport equity evaluation, and residential freight trip generation (RFTG) to estimate person- and household-level delivery demand and cargo van traffic exposure in 41 U.S. Metropolitan Statistical Areas (MSAs).

Evaluating 12 measurements across varying population segments and spatial units, the study finds robust evidence for racial and socio-economic inequities in last-mile delivery for low-income and, especially, populations of color (POC). By the most conservative measurement, POC are exposed to roughly 35% more cargo van traffic than white populations on average, despite ordering less than half as many packages. The study explores the model’s utility by evaluating a simple scenario that finds marginal equity gains for urban freight management strategies that prioritize line-haul efficiency improvements over those improving intra-neighborhood circulations.

Presents a first effort in building a modeling framework for more equitable decision-making in last-mile delivery operations and broader city planning.