URBAN MAGNETISM IN THE GLOBAL CITY FRAMEWORK: EXPLORING THE LINK BETWEEN URBAN FUNCTIONS AND POPULATION GROWTH

Dynamics in global processes have led to a number of political, economic and cultural changes that have resulted in the emergence of global cities. In the hierarchy of global cities, those who successfully use the limited available resources and offer an adaptable and flexible living environment, represent the most competitive global cities. Nonetheless, accelerated globalization has conditioned direct competition of global cities for different resources, and one of the most desirable being highly-skilled, talented and creative residents. In such conditions, city leaders face the need to understand the concept and factors of urban magnetism. The analysis of the determinants of urban magnetism can facilitate the formulation of concrete actions aimed at increasing the attractiveness of the city, which ultimately leads to the preservation of long-term socio-economic development of cities. Although financial wellbeing and incentives were considered to be a key factor of urban magnetism, contemporary research approaches have emphasized other factors that may influence urban attractiveness. Starting from that point of view, this paper aims to identify the main urban functions that influence the cities’ size with an analysis focusing on global cities worldwide. The panel regression analysis is applied to the sample of 39 global cities over the period from 2013 until 2019 and the data on urban functions are obtained from the Global Power City Index (GPCI). The results indicate that the size of the global cities population is positively affected by urban functions related to the cultural interaction and accessibility, while research and development function influences negatively on the size of the urban population. Results of the paper led to the conclusion that contemporary urban management strategies need to be defined and implemented aimed at improving the urban magnetism beyond economic performance of the city, focusing on sustainability and urban quality of life.

An assessment of the correlation between urban green space supply and socio-economic disparities of Tehran districts—Iran

Contact with UGS (urban green spaces) is a critical element for urban quality of life and an essential aspect of environmental justice, so all citizens should be able to access UGS regardless of their social and economic condition. In this regard, several studies have shown a positive correlation between UGS justice with socio-economic status in different contexts. In recent decades, Tehran has also experienced much wider socio-economic inequalities, reflected in its spatial configuration. Therefore, this study explored the possible correlation between the UGS supply and accessibility in the 22 Tehran municipal districts and their socio-economic development level. For this purpose, UGS supply (per capita) and accessibility (areas within 800 m walking distance to UGS) indicators are used to assess the UGS justice in Tehran. The research data are drawn from official spatial and statistical data, analysed using ArcGIS. This quantitative data are converted into map layers to shape a basis for UGS assessment indicators in conjunction with socio-economic status. The findings show an unbalanced distribution of UGS in Tehran. However, the areas with highest socio-economic status are at an optimum level of UGS justice in relation to all 22 districts, but no direct correlation confirms the same results for areas with lower socio-economic status.

We shape our buildings, but do they then shape us? A longitudinal analysis of pedestrian flows and development activity in Melbourne

Cities are increasingly promoting walkability to tackle climate change, improve urban quality of life, and address socioeconomic inequities that auto-oriented development tends to exacerbate, prompting a need for predictive pedestrian flow models. This paper implements a novel network-based pedestrian flow model at a property-level resolution in the City of Melbourne. Data on Melbourne’s urban form, land-uses, amenities, and pedestrian walkways as well as weather conditions are used to predict pedestrian flows between different land-use pairs, which are subsequently calibrated against hourly observed pedestrian counts from automated sensors. Calibration allows the model extrapolate pedestrian flows on all streets throughout the city center based on reliable baseline observations, and to forecast how new development projects will change existing pedestrian flows. Longitudinal data availability also allows us to validate how accurate such predictions are by comparing model results to actual pedestrian counts observed in following years. Updating the built-environment data annually, we (1) test the accuracy of different calibration techniques for predicting foot-traffic on the city’s streets in subsequent years; (2) assess how changes in the built environment affect changes in foot-traffic; (3) analyze which pedestrian origin-destination flows explain observed foot-traffic during three peak weekday periods; and (4) assess the stability of model predictions over time. We find that annual changes in the built environment have a significant and measurable impact on the spatial distribution of Melbourne’s pedestrian flows. We hope this novel framework can be used by planners to implement “pedestrian impact assessments” for newly planned developments, which can complement traditional vehicular “traffic impact assessments”.

Transport Systems and Mobility for Smart Cities

Nowadays, cities appear to be the best place to live, attracting more and more people and activities. However, not only does this movement represent a threat to the environment but also provides challenges and opportunities for everyone, e.g., people, companies, organizations, and governments. To provide a good urban quality of life, the efficiency of all assets, buildings, infrastructures, and all systems, as well as taking care of the natural environment, must be addressed and achieved. This paper will, therefore, present the available literature on the subject to discuss the present context, the main challenges, as well as the concept of smart cities, with future cities relying on the mobility and evolution of transport systems for smart, sustainable, resilient, and inclusive mobility. As a result of the research, it is possible to infer that an integrated smart mobility approach can support the efficiency of all transport networks for everyone, today and tomorrow, while faced with the threat of climate change and the challenges of citizens.

Voluntary Local Review Framework to Monitor and Evaluate the Progress towards Achieving Sustainable Development Goals at a City Level: Buraidah City, KSA and SDG11 as A Case Study

Around the world, cities are on the front lines of sustainable development. They are responsible for more than 70% of global carbon emissions. Many of these cities are experiencing dangerous levels of pollution, underemployment, and health disparities. Since 2015, 193 countries have endorsed the 17 Sustainable Development Goals (SDGs), intended to help address a wide range of challenges affecting cities and ultimately secure the resources for their next generations. All states are expected to present the national progress towards the SDGs through a Voluntary National Review (VNR). Despite the importance of the cities within this framework, only a handful of them worldwide have actively begun to review and assess progress towards these SDGs on a city scale. This paper seeks to develop a Voluntary Local Review (VLR) framework to assess and evaluate the progress of cities towards contributing to the SDGs. This framework has been developed by localizing the international and national frameworks to measure the performance of cities as they advance towards achieving the SDGs. Such a framework can serve as a tool for benchmarking progress on different aspects of sustainable development and help urban planners and policymakers prioritize policies and actions to improve urban quality of life. This framework is applied to monitor and evaluate the progress of the city of Buraidah in Saudi Arabia, as it strives towards achieving the targets of SDG11 (“Make cities and human settlements inclusive, safe, resilient and sustainable”).

Framing Electric Mobility for Urban Sustainability in a Circular Economy Context: An Overview of the Literature

The development of electro-mobility is one of the centerpieces of European country attempts to reduce carbon emissions and increase the quality of life in cities. The goals of reducing emissions from the transport sector and phasing out fossil-fueled vehicles in (urban) transport by 2050 present unrivaled opportunities to foster electro-mobility. This paper provides a comprehensive review of the literature and provides a detailed analysis of the current development of electro-mobility in Europe, assessing social, economic, and environmental aspects under a circular economy (CE) context. It also examines the existing challenges and suggests ways of addressing them towards improving the environmental performance of electro-mobility and the urban quality of life. The paper argues that a narrow technology-only agenda in electro-mobility will be less successful without the imperative of the CE, including not just materials and resources but also energy, to unlock the medium-term co-benefits of de-carbonization of both the transport as well as the building and energy sectors. The paper critically reviews some of the anticipated future developments that may guide the growth of this rapidly growing field into a CE.

THE USE OF NEW TECHNIQUES IN SPATIAL MODELING AND ANALYSIS OF URBAN QUALITY OF LIFE: MULTIPLE-CRITERIA DECISION ANALYSIS AND GIS

The research aims to analyze and evaluate the quality of urban life using modern technologies by engaging residents and experts to choose criteria for analyzing and evaluating the quality of life (QoL)using multi-criteria analysis and a geographic information system to conduct spatial modeling to extract a Qol analysis and evaluation map and determine its geographical ranges. The study showed that (4.44%) represent a high QOL and (47.23%) represent an acceptable QOL and (48.33%) represent a low QOL. The study proved that there are geographical differences between the city center and the suburbs that can be spatially determined.