Urban Dynamics Research Articles

Intraurban spatial configuration, hydrologic similarity areas and their roles in urban drainage dynamics

ABSTRACT Hydrologic Similarity Areas (HSA) were delimited in the Belém catchment, and their responses on the water balance were evaluated. A cluster analysis of intraurban spatial configuration was conducted to delimit six HSA. The urban water balance was performed in the Aquacycle model, whose calibration resulted in satisfactory adherence to the measured streamflow. Indeed, the modeling results show that the intraurban spatial heterogeneity is reflected in the annual and daily water balance. The evapotranspiration rates can represent 25% to 50% precipitation in the different HSA. Moreover, infiltration and runoff can range five times among the HSA. In analyzing the daily events, we identified the areas that most contributed to runoff and those with higher infiltration capacity during flood events. Such results may support future studies on understanding flood dynamics and guide the implementation of sustainable urban drainage solutions that aim to reduce runoff and control flood risk.

Bridging Perceptual Gaps: Designers vs. Non-Designers in Urban Wayfinding Signage Preferences

As urban environments become increasingly complex and the costs and challenges of infrastructure upgrades continue to rise, wayfinding signage has become an effective solution to cope with urban dynamics due to its low cost and high flexibility. Although the functionality of wayfinding signage has been extensively studied, the perceptual differences between designers and non-designers have not been adequately explored. Ignoring these differences may lead to the overlooking of users’ real and diverse needs, resulting in suboptimal signage performance in practical applications and ultimately a reduction in the overall functionality and user experience of urban spaces. This study aims to bridge this perceptual gap. For this study, we conducted a questionnaire survey in China to compare the visual preferences of designers and non-designers regarding text, shape, color coding, and patterns. The results indicate that designers prioritize functionality and clarity to ensure the effective use of signage in complex urban environments, whereas non-designers prefer wayfinding signages that reflect local cultural symbols and characteristics. Our conclusions suggest that the public’s expectations for wayfinding signage extend beyond basic navigational functions, with an emphasis on cultural expression and visual appeal. Understanding these perceptual differences is crucial in developing design strategies that balance functionality, esthetics, and sustainability, thereby facilitating the sustainable integration of signage into urban landscapes.

THE PULSE OF THE CITY: 'GOUARIR' STREET AND THE EVOLUTION OF PUBLIC SPACES IN ALGERIA

The transformation of a neighborhood street into a city-wide street reflects the adaptation of urban forms to new usages, evolving as a space of urbanity where animation and social activity develop. Often located on the public domain, the street differs from the layout of plots, which is constantly changing, its underground infrastructure transforming as networks evolve. In this regard, the concept of the street needs to be assessed in light of the transformations induced by the new urban trends in Algeria. The study of the various urban and architectural transformations of “rue Gouarir” in Bordj Bou Arreridj and its evolution enables us to examine both urban recompositions as an expression of changing patterns of life, and the significance of place in contemporary Algerian cities. This study, conducted from an interdisciplinary perspective involving architecture, urban planning and economics. The aim is to assess the urban transformations and dynamics affecting this street and the people who live on it and build it. In order to better understand the dynamics of street transformation into public space, an analytical method mainly founded on socio-spatial investigation was employed. As a result, “Rue Gouarir” is overseen by community residents and business proprietors, with a conspicuous lack of involvement from local authorities. The interactions within “Rue Gouarir” have substantially transformed the surrounding area, propelling it to become a sought-after and attractive district within the city.

LEAF: A Lifestyle Approximation Framework Based on Analysis of Mobile Network Data in Smart Cities

The increasing use of mobile networks is an opportunity to collect and model users’ movement data for extracting knowledge about life and health while considering privacy leakage risk. This study aims to approximate the lifestyles of urban residents, employing statistical information derived from their movements among various Points of Interest (PoI). Our investigations comprehend a multidimensional analysis of key urban factors to provide insights into the population’s daily routines, preferences, and characteristics. To this end, we developed a framework called LEAF that models lifestyles by interpreting anonymized cell phone mobility data and integrating it with information from other sources, such as geographical layers of land use and sets of PoI. LEAF presents the information in a vector space model capable of responding to spatial queries about lifestyle. We also developed a consolidated lifestyle pattern framework to systematically identify and analyze the dominant activity patterns in different urban areas. To evaluate the effectiveness of the proposed framework, we tested it on movement data from individuals in a medium-sized city and compared the results with information collected through surveys. The RMSE of 5.167 between the proposed framework’s results and survey-based data indicates that the framework provides a reliable estimation of lifestyle patterns across diverse urban areas. Additionally, summarized patterns of criteria ordering were created, offering a concise and intuitive representation of lifestyles. The analysis revealed high consistency between the two methods in the derived patterns, underscoring the framework’s robustness and accuracy in modeling urban lifestyle dynamics.

A Comprehensive Framework for Understanding Urban Forests as Social-Ecological Systems

AbstractUrban forest management is a multistakeholder, multi-objective situation whereby a surfeit of synergistic or competing goals may exist. Greater research and applied guidance for what works in which urban forest contexts could help improve urban tree and forest outcomes. The challenge in conducting research of this nature is systematic definitions of “what works” and “which contexts” across multidimensional, polycentric urban forest social-ecological systems. This paper presents a comprehensive framework for studying the complexities in urban forest systems (synthesized from numerous other frameworks in the field) that could be used to generate context-specific insights into urban forest management and dynamics. The logic of using frameworks and specific frameworks that already exist within the field are reviewed. Then, I present the urban forest social-ecological system (UFSES) framework. The UFSES framework specifies 5 first-tier factors: theCharacteristics of Trees in the Urban Forest (T); theSurrounding Growing Environment (E);Management & Institutions (M); andCharacteristics of the Human Community (H); which influenceUrban Forest Outcomes (O). A detailed set of second-tier variables nested within these factors are presented in tables at the end of the paper. The framework can foster holistic systems thinking in a systematic yet flexible way; provide a working draft of a common language for thinking about and studying urban forest systems; and enable comparative case research.

Towards Predictive Pollution Control Through Traffic Flux Forecasting With Deep Learning: A Case Study in the City of Valencia

ABSTRACTTraffic congestion represents a significant urban challenge, with notable implications for public health and environmental well‐being. Consequently, urban decision‐makers prioritize the mitigation of congestion. This study delves into the efficacy of harnessing extensive data on urban traffic dynamics, coupled with comprehensive knowledge of road networks, to enable Artificial Intelligence (AI) in forecasting traffic flux well in advance. Such forecasts hold promise for informing emission reduction measures, particularly those aligned with Low Emission Zone policies. The investigation centers on Valencia, leveraging its robust traffic sensor infrastructure, one of the most densely deployed worldwide, encompassing approximately 3500 sensors strategically positioned across the city. Employing historical data spanning 2016 and 2017, we undertake the task of training and characterizing a Long Short‐Term Memory (LSTM) Neural Network for the prediction of temporal traffic patterns. Our findings demonstrate the LSTM's efficacy in real‐time forecasting of traffic flow evolution, facilitated by its ability to discern salient patterns within the dataset.

Assessment of dyna clue model for prediction of spatio-temporal dynamics of urbanisation and green space in Jaipur district, Rajasthan (India)

Urbanisation in Jaipur, Rajasthan’s capital, has significantly impacted land use and land cover (LULC) over the past four decades. This study addresses the pressing issue of how rapid urban expansion affects green spaces and environmental balance. Utilizing satellite imagery and a support vector machine (SVM) algorithm, LULC maps for 1993, 2003, 2013, and 2023 were generated to analyze changes in land cover, including agriculture, barren land, built-up areas, vegetation, wasteland, fallow land, and water bodies. The Dyna-CLUE model, incorporating variables such as elevation, slope, aspect, and proximity to streams and roads, was employed to forecast LULC changes for 2033 and 2043. The findings reveal a marked increase in built-up areas at the expense of vegetative cover, driven by urbanization, infrastructural development, agricultural expansion, climate change, and policy decisions. With Kappa coefficients indicating high agreement between classified land cover and ground truth data (84–90% accuracy), the study projects continued urban growth and further decline in vegetation. This underscores the urgent need for sustainable land use planning and environmental conservation in Jaipur. Proposed strategies to address these issues include establishing ecological zones, enforcing green building regulations, promoting mixed-use development, and implementing a 15-min green space policy. These measures aim to enhance green space distribution and support Jaipur’s transition towards a greener urban environment.

Community Engagement in the Management of Urban Green Spaces: Prospects from a Case Study in an Emerging Economy

Urban green spaces (UGSs) play a vital role in enhancing the quality of life in cities, particularly in rapidly urbanizing regions such as the Metropolitan Region of São Paulo (MRSP). However, significant challenges related to equitable management and access persist, often exacerbated by socio-environmental inequalities. While much of the existing literature on UGS management focuses on developed economies, there is a gap in our understanding of how community engagement influences UGS outcomes in emerging economies, which face unique socio-economic and infrastructural constraints. This study addresses this gap by investigating the impact of community engagement on UGS management in the MRSP, specifically examining how increased participation correlates with improved UGS access and reduced socio-environmental inequality. Utilizing survey data from 33 municipal environmental departments across the MRSP, this research applied correlation tests, generalized linear models, and a non-parametric analysis of variance to evaluate the relationships between community engagement, UGS coverage, and inequality. The findings reveal a moderate positive correlation between community engagement and UGS coverage, alongside a negative correlation with socio-environmental inequality. Increased levels of community participation were associated with greater access to UGSs and a reduction in disparities across socio-economic groups. These results underscore the potential of fostering community involvement in UGS management to promote urban equity and environmental sustainability in emerging economies, particularly through institutional support and transparent information sharing. Future research should focus on longitudinal studies to better understand the long-term effects of sustained community engagement and incorporate qualitative data from community members to provide a more comprehensive analysis of participatory processes. Additionally, expanding the scope of analysis to include informal and private green spaces will offer a more holistic understanding of urban greening dynamics.

Centro e centralidades em foco: um olhar acerca do Gávea Centro e suas centralidades no Setor Sul de Uberlândia-MG

The general objective of this article is to explore the urban dynamics and the different conceptions of center and centrality; The specific objectives are to address the emergence of new centralities and their dialectic in the continuous movement of space production in the city and to highlight centrality as a possibility for improving the quality of urban life. Given its character as a reflexive effort, it is methodologically supported by a bibliography review and a brief approach to the empirical reality of Uberlândia-MG. It does not have the purpose of exhausting the theoretical framework on the subject, but is more of a brief interpellation, an invitation to debate. The text is divided into three parts, in addition to the introduction. Initially, it addresses the conceptualization of city and urban, in order to highlight the constant change in the structure of cities, well understood in the following topic, which addresses the concepts of center and centrality. In the following part, possibilities inherent to centralities are suggested. The last topic, in turn, is discussed based on the theories presented the conjuncture of the Southern Sector of the city of Uberlândia-MG, where will be constituted the Gávea Center with its centralities: Villa Gávea, Park Gávea and Gávea Garden.

Modeling urbanization dynamics by labor force migration

Modeling urbanization dynamics by labor force migration

How workable is a 20-minute city in Australia? Re-examining the challenge of change in spatial labour and job relations

ABSTRACT Most x-minute city studies focus on liveability and neighborhood accessibility to local services, but rarely include primary employment. This paper complements these studies by examining the urban employment structure and transport dynamics of an Australian city under the 20-minute city concept framework. To do this, we develop a comprehensive method to model residents’ job access time using census-based journey to work (JTW) data and detailed household activity and travel survey. Analysing JTW time stepping down to diverse industry and employment categories and transport modes allows new insight into the disparity in residents’ job and housing locations and transport choices at local scales. By evaluating the distribution of working residents, types of employment, and transport performance, this paper examines possible policy responses and challenges of change in expanding the 20-minute planning target for employment. The analysis suggests that housing infill development could support reduced JTW time for residents experiencing longer time for work travels. However, this would require active planning of both land-use mix and dwelling design to meet prevalent household expectations about dwelling size and quality.

Analysis and assessment of urbanization dynamics: actors and forms of encroachment on the agricultural land of Constantine in eastern Algeria (1985-2020)

The environmental concern has increasingly become a focus in recent research on town planning and regional development. This paper discusses the renewed issue of urbanization affecting agricultural land and natural environments, with a new approach combining spatio-temporal monitoring of the evolution of the urban area of the province of Constantine, in relation to the agronomic quality of the land. In this context, the present study is based on the agronomic classification of land in the province of Constantine carried out by BNEDER study office in 1987. In addition, it uses maps extracted from Landsat satellite images for the years 1985, 2000, and 2020, and the annual land use data from the agriculture department (DSA), recorded between the years 2000 and 2020. The results obtained from this approach highlight the negative impact of urbanization over the last two decades in the Constantine agglomeration, as well as the strong vulnerability of natural environments and agricultural soil expected in the coming years. The accelerated pace of land artificialization has led to a significant reduction in agricultural space in the Constantine province. The urbanization of the city of Constantine alone consumed more land in 13 years (between 1987 and 2000) than it had in the twenty-seven years following independence, and more than it had consumed in a century before independence. In the event that public authorities do not take corrective and environmental protection actions, the situation regarding this problem will become more difficult to resolve.

MUSE: an open-access platform for urban expansion simulation with multitype patch generation engine and multilevel morphology regulation

Urban expansion models (UEMs) help unfold the mechanism, future pathways, and relevant repercussions of urban landscape dynamics. Although a plethora of UEMs have been developed, the field of open-access modeling platform for urban expansion simulation still presents gaps in terms of representing urban development events, regulating multilevel urban morphologies, and reflecting underlying regularities of physical urban growth. This study develops an open-access Multiengine Urban Expansion Simulation (MUSE) platform together with software that addresses some of these limitations. MUSE employs patch-based concepts and different patch generation engines to represent urban development events of distinctive types, enabling control over spatial morphology at landscape, class and patch levels. Moreover, MUSE incorporates two general regularities on urban development waves and urban diffusion and coalescence to govern physical urban expansion processes. Experiments in two cities examine MUSE’s ability in simulating realistic urban dynamics, and a series of synthetic experiments verify the operational behavior of the patch generation engines. These experiments show that MUSE can simulate a range of urban expansion types, including infill, edge growth and leapfrog expansion, and various morphologies, such as aggregated, sprawl, fragmented and compact. MUSE can empower practitioners to better project, analyze and understand complex urbanization dynamics.

Ground-Based MAX-DOAS Observations for Spatiotemporal Distribution and Transport of Atmospheric Water Vapor in Beijing

Understanding the spatiotemporal distribution and transport of atmospheric water vapor in urban areas is crucial for improving mesoscale models and weather and climate predictions. This study employs Multi-Axis Differential Optical Absorption Spectroscopy to monitor the dynamic distribution and transport flux of water vapor in Beijing within the tropospheric layer (0–4 km) from June 2021 to May 2022. The seasonal peaks in precipitable water occur in August, reaching 39.13 mm, with noticeable declines in winter. Water vapor was primarily distributed below 2.0 km and generally decreases with increasing altitude. The largest water vapor transport flux occurs in the southeast–northwest direction, whereas the smallest occurs in the southwest–northeast direction. The maximum flux, observed at about 1.2 km in the southeast–northwest direction during summer, reaches 31.77 g/m2/s (transported towards the southeast). Before continuous rainfall events, water vapor transport, originating primarily from the southeast, concentrates below 1 km. Backward trajectory analysis indicates that during the rainy months, there was a higher proportion of southeasterly winds, especially at lower altitudes, with air masses from the southeast at 500 m accounting for 69.11%. This study shows the capabilities of MAX-DOAS for remote sensing water vapor and offers data support for enhancing weather forecasting and understanding urban climatic dynamics.

Spatio-temporal Evolution of Coupling Coordination Degree between Urbanization and Tourism Industry: A Case Study of Rural Revitalization Strategy of the Wuling Mountain Area in Central China

China is currently at a critical juncture in implementing the rural revitalization strategy, with urbanization and tourism development as crucial components. This study investigates 41 counties (cities) in the Wuling Mountain area of central China, constructing an evaluation system for the coordinated development of these two sectors. The coupling coordination degree is calculated using a combination weighting method and the coupling coordination degree model. Spatio-temporal evolution characteristics are analyzed through spatial autocorrelation, while the geographic detector explores the driving factors of spatial variation. The findings reveal a significant increase in coupling coordination between urbanization and tourism, transitioning towards a coordinated phase. Spatially, urbanization and tourism exhibit positive correlations, with high-value clusters in the southeast and northwest and low-value clusters in the south. The geographical detector identifies industrial factors as the most critical drivers of spatial variation. This study offers novel insights into the dynamics of urbanization and tourism, contributing to the broader literature by providing practical implications for regional planning and sustainable development. The results are relevant to the Wuling Mountain area and serve as a reference for similar regions globally. However, the study has certain limitations, such as regional specificity and data availability, which should be considered in the context of this research.

Long-Term Evolution of Ecologically Fragile Waterside Rural Areas and Strategies for Local Spatial Planning: An Empirical Study in Baiyangdian, China

Under the dynamics of urbanization and counterurbanization, rural areas in China face both challenges and opportunities with the government’s new-town policy. A comprehensive analysis is essential for developing effective strategies. Characterized by traditional water settlements and high ecological sensitivity, Anxin County, which encompasses 50% of Baiyangdian Lake, was selected as a case study. Anxin County was incorporated into the National New Area in 2017, and it served as an experimental site for green ecological development. This study aims to provide insights into the sustainable spatial planning of Anxin County’s settlements by examining their long-term evolution and locational differences, modeling the driving mechanisms, and proposing differentiated spatial planning strategies based on predictive outcomes. Our research findings indicate the folllowing: (1) Anxin County’s settlements have expanded significantly in the past, with a notable surge between 1975 and 1996. Initially, semi-waterside settlements experienced the fastest growth before the 1970s, followed by land settlements. (2) Natural and socio-economic factors are modeled as independent variables to explain the evolution of settlement areas. The results indicate a decreasing impact of natural factors and an increasing influence of socio-economic factors over time. Furthermore, the evolution of settlements in water areas is relatively straightforward and random, whereas land settlements are influenced by a complex array of factors. (3) Utilizing the model to predict settlement growth, the study identifies settlements requiring relocation, and it proposes the most suitable relocation targets for them. A total of 23 villages, including Bei Tianzhuang and Cai Putai, are identified for relocation, while villages such as Ma Village, Bian Village, and Liu Lizhuang have strong capacities for accepting in-migrants. The study also offers recommendations for enhancing waterfront landscapes, flexible land use, road network systems, and internal construction.

Assessing spatial and racial equity of subway accessibility: Case study of New York City

Enhancing the utility of public transportation through easy and equitable access has become one of the focal points in the pursuit of social justice goals. This study aims to provide a comprehensive analysis of equitable access to the subway system in New York City (NYC) based on geography and race/ethnicity, shedding light on the complex relationship between transportation equity, racial diversity, and urban dynamics. New York City is selected as the case study due to its diverse demographic makeup, extensive public transportation system, and paucity of previous research on the racial justice dimensions of its subway system. Gravity index is employed to investigate the accessibility of the NYC subway system in terms of distance from stops and the frequency of service while equity is analyzed by Gini coefficients and Lorenz curves. To conduct this analysis, American Community Survey (ACS) data and The General Transit Feed Specifications (GTFS) are used. The findings reveal that accessibility to the subway system varies across New York City's outer boroughs, with Queens, the largest borough by area, notably standing out due to its limited availability of subway stations. Moreover, the study uncovers stark racial disparities in accessibility within boroughs, with the non-Hispanic Black community in Queens (which represents 17 % of the borough's population) facing a pronounced lack of easy access to subway stations. These insights underscore the urgent need for targeted interventions and policy reforms to address the identified disparities. Policymakers and transportation planners should prioritize initiatives such as increasing subway infrastructure in underserved areas, improving the frequency of service, and enhancing connectivity to reduce racial and spatial inequities in subway accessibility.

Advances in Remote Sensing and Machine Learning Methods for Invasive Plants Study: A Comprehensive Review

This paper provides a comprehensive review of advancements in the detection; evaluation; and management of invasive plant species (IPS) using diverse remote sensing (RS) techniques and machine learning (ML) methods. Analyzing the high-resolution datasets received from drones, satellites, and aerial photography enables the perfect cartography technique and analysis of the spread and various impacts of ecology on IPS. The majority of current research on hyperspectral imaging with unmanned aerial vehicle (UAV) enhanced by ML has significantly improved the accuracy and efficiency of identifying mapping IPS, and it also serves as a powerful instrument for ecological management. The integrative association is essential to manage the alien species better, as researchers from multiple other fields participate in modeling innovative methods and structures. Incorporating advanced technologies like light detection and ranging (LiDAR) and hyperspectral imaging shows potential for improving spatial and spectral analysis approaches and utilizing ML approaches such as a support vector machine (SVM), random forest (RF), artificial neural network (ANN), convolutional neural network (CNN), and deep convolutional neural network (DCNN) analysis for detecting complex IPS. The significant results indicate that ML methods, most importantly SVM and RF, are victorious in recognizing the alien species via analyzing RS data. This report emphasizes the importance of continuous research efforts to improve predictive models, fill gaps in our understanding of the connections between climate, urbanization and invasion dynamics, and expands conservation initiatives via utilizing RS techniques. This study also highlights the potential for RS data to refine management plans, enabling the implementation of more efficient strategies for controlling IPS and preserving ecosystems.

From Modern Ideas-Theories, and Pandemic, Garden-Cities of To-Morrow, and Today

This research delves into the come-back of the garden-cities in the wake of recent pandemic changed urban dynamics and reshaping cities, particularly Istanbul. At the onset of the 20th century, E. Howard's book on Garden-cities of To-morrow and his idealized garden-city models gained global prominence. The Pandemic led to people to rethink their living and working conditions and patterns in a way that had not been considered before. Thus, with the regulations imposed by the pandemic, the people began to look for an airier, and greener lifestyle in nature. Initially in the popularized cities in the late-20th century, first innovative housing models resurfaced on the urban agenda in the context of climate-change concerns, green architecture, and sustainable design. While architectural and urban planning changes have historically revolved around innovative housing models driven by sustainability, the impact of COVID-19 prompted a renewed focus on these old models. The pandemic's effects surpassed initial expectations, became nearly permanent leading people to question old planning theories and the metropolitan life model imposed throughout the 20th century. Presently, with growing awareness of green architecture and renewed interest in historical concepts, E. Howard's garden-city model was the previous century’s phenomenal idea have recently come-back and unexpectedly regained attention following the recent pandemic. These models, widely recognized as English garden-city models in Europe, also found prevalence under different terms like <i>cité-jardins</i> in France and <i>Garten-stadts</i> in Germany. In Istanbul, the model was introduced by European, French, and Italian architects, adapting creating unique model for city, <i>cité-parc</i>, (park-city) Bosphorus-Heights by French architect-urbanist Henri Prost. According to the findings of case-study focused specifically in Istanbul, it is achieved that another unique model a healthy-city concept emerged during the pandemic as a novel derivative of E. Howard’s old garden-city model originally. Consequently, this study proves that not only come-back of the old garden-city models, but also it is possible to their adaptability within contemporary urban agendas, considering such as sustainability and pandemics.

Maintenance Challenges in Maritime Environments and the Impact on Urban Mobility: Machico Stayed Bridge

This article investigates the challenges of maintaining the Machico Cable-Stayed Bridge in a marine environment, focusing on its implications for urban mobility. The primary problem addressed is the impact of harsh marine conditions on the structural integrity of the bridge, which poses significant challenges for ongoing maintenance and safety. The research highlights unique aspects such as the effects of saltwater exposure on materials and the interplay between infrastructure and urban transit dynamics. By emphasizing these critical issues, this study aims to provide insights into effective maintenance strategies and contribute to the broader discourse on urban mobility in coastal regions.