<abstract xmlns="http://www.w3.org/1999/xhtml">

For achieving sustainable cities, sustainable mobility is one of the key elements. Policymakers around the world are taking different strategies to ensure sustainable urban mobility at the local level. However, sustainable urban mobility assessment at neighborhoods of a developing country received a significant research gap. This study attempts to close this research gap by deriving and comparing neighborhood sustainability based on three indicators: modal share, travel time, and travel cost, in Dhaka city, Bangladesh. Using a two-step cluster model, neighborhoods were grouped into three clusters. Study results classified 41 (44.6%) neighborhoods as sustainable, 30 (32.6%) as potentially sustainable, and 21 (22.8%) as unsustainable neighborhoods due to less positive outcomes of sustainable mobility policies. Later, median income and jobs-housing ratio value for different neighborhood types validated the classification result. Findings from this study reveal insights for transport planners, development agencies, policymakers to identify areas where mobility of the residents needs to be improved on a priority basis; advocate further research on comprehensive sustainability assessment at the neighborhood level.
<bold>Highlights for public administration, management and planning:</bold>
<list list-type="bullet">
<list-item><label>•</label> There is a significant difference in modal share, travel time, and travel cost in neighborhoods.</list-item>
<list-item><label>•</label>A traditional neighborhood of the city is comparatively more sustainable than newly developed ones.</list-item>
<list-item><label>•</label> Neighborhoods with similar sustainability status tend to be clustered on the city scale.</list-item>
<list-item><label>•</label>Median income and jobs-housing ratio can effectively capture the difference in sustainability level in terms of urban mobility.</list-item>
<list-item><label>•</label>Sustainable urban mobility assessment can contribute city planning and development process.</list-item>
</list>

</abstract>

Department of Urban and Regional Planning

Bangladesh University of Engineering and Technology (BUET)

Assessment of neighborhood sustainability in terms of urban mobility: A case study in Dhaka City, Bangladesh

<abstract xmlns="http://www.w3.org/1999/xhtml">

There are only little doubts that territorial competition related to attracting new investments is getting increasingly severe. This competition is closely connected with the wide spectrum of location factors that bear economic as well as social and environmental dimensions. While some of these factors are barely manageable, majority of them can be actively shaped via policies of different kinds and scales. Not surprisingly, intense differentiation applying to both time and spatial perspectives is concomitant to afore mentioned factors. The main objective of this article consists in the analysis and assessment of location factors and mechanisms offered by the managements of Czech towns to potential investors. At the same time, we will examine which location factors and mechanisms these towns regard as important for individual investors. As it turned out, the investment environment in Czechia cannot be considered entirely standard from international perspective, which subsequently rises transaction costs involved in investment location.
<bold>Highlights for public administration, management and planning:</bold>
<list list-type="bullet">
<list-item><label>•</label> In nearly one half of investigated Czech towns, there are no systemic standardized procedures how to deal with a new investor.</list-item>
<list-item><label>•</label> There are distinct differences between average evaluations of location factors towns consider as important for investment preferences and average evaluations of location factors provided by towns to investors.</list-item>
<list-item><label>•</label> When attracting new investors, towns rely primarily on their own endogenous activities. Individual towns should modify their communication with investors during covid/post-covid times.</list-item>
</list>

</abstract>

What places bait investments? Urban management stance

<abstract xmlns="http://www.w3.org/1999/xhtml">

Although medium-sized towns are key components in the polycentric structuring of regional spaces, their evolutionary pathways are less clear than those of cities. This paper considers a set of four medium-sized towns with provincial capital status located in the southern zone of Lombardy, on the fringes of a densely urbanised area dominated by Milan. The population trajectories of these towns and their agglomerations (firstand second-belt municipalities) are investigated in the decade from 2010 to 2020, with a descriptive analysis. The research resulted in three main findings: 1) even in a challenging economic climate, the population trends of the towns considered were affected by proximity to the vibrant Milan metropolitan area; 2) all the towns have gone down the route of reurbanisation, but the suburbanisation process is still ongoing and very intense, especially for the Italian population; 3) there are gaps between cores and belts in terms of population distribution by age group and land take intensity, resulting in differing drives for population concentration or deconcentration.
<bold>Highlights for public administration, management and planning:</bold>
<list list-type="bullet">
<list-item><label>•</label> Medium-sized towns that are more able to “work together as part of a network” enjoy greater population vitality.</list-item>
<list-item><label>•</label> Medium-sized towns are not a unitary group: even in an area featuring similar structural characteristics, their evolutionary dynamics differ, calling for place-based policies.</list-item>
<list-item><label>•</label> A drive for population deconcentration is under way in agglomerations linked to medium-sized towns, powered by certain population groups, which could adversely affect the quest for a sustainable development model.</list-item>
</list>

</abstract>

Moving towards repolarisation? The population trajectories of medium-sized towns in Lower Lombardy, Italy (2010‒2020)

<abstract xmlns="http://www.w3.org/1999/xhtml">

Renewal, revitalisation, or reconstruction of public spaces is an inevitable part of the urban dynamics process. However, before any decision of future development is made, it is necessary to be acquainted with the given place. Mapping urban spaces is essential for recognizing the specifics of a certain area, while a relevant analysis should be performed on the basis of multiple data sources. Nonetheless, identification of relevant data sources as well as their limits, which need to be considered, represent challenges in the process. The study aims to highlight the importance of socio-spatial analyses as tools which help to familiarize place makers with public space as well as with the small nuances of its everyday functioning. Relevant online data sources for urban space analysis (Instasights, Strava) and their limits were explored, described, and applied to the area of interest - two banks of the Danube riverfront in Bratislava, Slovakia. The method was supplemented by mapping of human movement and behaviour. The combination of the methods is a relatively fast and simple way to get to know the spatial, social, environmental, aesthetic, and other dimensions of the given space. The interpretation of data illustrates possible outcomes that can be gained through mapping of public spaces before changes or development plans are proposed. Hence, the paper contributes to the repertory of the possible sources of online data that can be used for recognizing the specific characteristics of individual public spaces. This contributes to responsible decision-making about the future of the urban environment, built on data-based arguments.
<bold>Highlights for public administration, management and planning:</bold>
<list list-type="bullet">
<list-item><label>•</label> Online data represents a valuable source of city-related information as well as a relevant addition to other mapping methods.</list-item>
<list-item><label>•</label> Mapping an area of interest is a necessary step of the data-based planning process and should always precede any development of urban spaces.</list-item>
<list-item><label>•</label> A combination of data from various data sources which reflect life in public space can support user-oriented planning and contribute to responsible decision making.</list-item>
</list>

</abstract>

Slovak University of Technology in Bratislava

Behavioural mapping and online data as tools for socio-spatial analysis of public spaces – Bratislava, Slovakia waterfront case study

<abstract xmlns="http://www.w3.org/1999/xhtml">

Between 2017 and 2020 the number of households living in slums in Chile has increased by 73.52%, which has led the state to urgently develop housing solutions to reorient public policy in this area. This article contributes to this discussion through an exploratory statistical analysis to identify the socio-economic drivers that best help to explain the formation of slums in Chilean cities. The resulting predictive model is tested in Greater Santiago, the nation’s capital, with good results, validating its usefulness for the design of housing policies. Among the results, low household income and the presence of international immigrants explain an increase in the probability of housing precariousness, while the presence of renters and heads of household with postgraduate degrees decreases this possibility. In addition to the specific scope for the Chilean case, the article shares a methodological strategy that can be replicated in other countries and cities to develop similar diagnoses.
<bold>Highlights for public administration, management and planning:</bold>
<list list-type="bullet">
<list-item><label>•</label> A predictive model is developed using census data to identify the areas of the city where vulnerability of housing measured by socioeconomic factors may reflect precariousness of housing.</list-item>
<list-item><label>•</label> Areas of the city with high rate of international immigrants and/or low-income households tend to predict precariousness of housing.</list-item>
<list-item><label>•</label> Areas of the city where households’ heads have postgraduate degrees and/or are tenants tend to have less probability of developing precarious housing.</list-item>
</list>

</abstract>

Socio-economic drivers of increasing number of slums in Chile

<abstract xmlns="http://www.w3.org/1999/xhtml">

The scarcity of public open space has compelled urbanites to use residential rooftops as an interaction space. In Dhaka, rooftops are used for various social and recreational purposes which has extensively increased due to COVID-19 restrictions. During this period, few rooftops are used frequently while few are less occupied. Hence, the study identifies different variables that impact rooftop activities and finds correlations between them using the Pearson correlation coefficient. The study further shows the direction for accelerating the use of rooftops as an interaction space in residential buildings.
<bold>Highlights for public administration, management and planning:</bold>
<list list-type="bullet">
<list-item><label>•</label> Rooftops represent important places of public life in Dhaka.</list-item>
<list-item><label>•</label> The variables that affect the social and recreational activities of residential rooftop space are analysed.</list-item>
<list-item><label>•</label>Statistically significant correlations were found between rooftop occupied by various services and number of activities, floor dampness and number of activities, the rooftop occupied by various services and a comfort zone with a pleasant view, parapet height and number of activities, and parapet height and safety.</list-item>
<list-item><label>•</label>The paper sets recommendations for designing and managing rooftop spaces.</list-item></list>

</abstract>

Dhaka University of Engineering and Technology

Correlation between user activity at different rooftop typologies in residential buildings in a compact urban context

<abstract xmlns="http://www.w3.org/1999/xhtml">

The unplanned expansion of cities has become a serious concern in India these days. They exert pressure on the city’s resources, resulting in uncontrolled expansion and unliveable circumstances. As a result, there is a need to design certain techniques to reduce this issue in order to have planned growth both within and outside the city. In this research, the demographic, physical and environmental transformations of the peri-urban areas of Pune City have been analysed using GIS and parameters have been suggested to develop a selection index to help identify the areas having urban traits and suggest separate urban local bodies for their governance and planning.
<bold>Highlights for public administration, management and planning:</bold>
<list list-type="bullet">
<list-item><label>•</label> Peri-urban regions experience a lot of changes as they transition from rural to urban features, and assessing these changes using GIS is critical for better planning of such areas’ development.</list-item>
<list-item><label>•</label> This study provides parameters and creates a selection index to determine if periurban regions have high or low urban traits, and then determines whether those areas should be combined with current municipal boundaries or formed into new urban local bodies using the ArcGIS software.</list-item>
</list>

</abstract>

Assessing transformations in peri-urban areas using GIS: A case of Pune city, India

AHEAD OF PRINT

Volume 17 (2023): Issue 2 (December 2023)

Volume 17 (2023): Issue 1 (June 2023)

Volume 16 (2022): Issue 2 (December 2022)

Volume 16 (2022): Issue 1 (June 2022)

Volume 15 (2021): Issue 2 (December 2021)

Volume 15 (2021): Issue 1 (June 2021)

Volume 14 (2020): Issue 2 (December 2020)

Volume 14 (2020): Issue 1 (June 2020)

Volume 13 (2019): Issue 2 (December 2019)

Volume 13 (2019): Issue 1 (June 2019)

Volume 12 (2018): Issue 2 (December 2018)

Volume 12 (2018): Issue 1 (June 2018)

Volume 11 (2017): Issue 2 (December 2017)

Volume 11 (2017): Issue 1 (June 2017)

Volume 10 (2016): Issue 2 (December 2016)

Volume 10 (2016): Issue 1 (June 2016)

Volume 9 (2015): Issue 2 (December 2015)

Volume 9 (2015): Issue 1 (June 2015)

Volume 8 (2014): Issue 2 (December 2014)

Volume 8 (2014): Issue 1 (June 2014)

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