scholarly journals Urban form, transit supply, and travel behavior in Latin America: Evidence from Mexico's 100 largest urban areas

2018 ◽  
Vol 69 ◽  
pp. 98-105 ◽  
Author(s):  
Erick Guerra ◽  
Camilo Caudillo ◽  
Paavo Monkkonen ◽  
Jorge Montejano
Keyword(s):  
Latin America ◽  
Travel Behavior ◽  
Urban Form ◽  
Urban Areas

scholarly journals Identifikasi Perilaku Perjalanan Melalui Metode Critical Path Method (CPM)

2020 ◽  
Vol 22 (3) ◽  
pp. 453-462
Author(s):  
Lulu Mari Fitria ◽  
Mutiasari Kurnia Devi ◽  
Muhammad Sani Roychansyah ◽  
Yori Herwangi ◽  
Siti Nurjanah
Keyword(s):  
Travel Behavior ◽  
Urban Form ◽  
Urban Areas ◽  
Critical Path ◽  
Age Groups ◽  
Travel Patterns ◽  
Critical Path Method ◽  
Community Based ◽  
Optimum Path ◽  
Travel Behaviors

Mobilization in urban areas has increased every year along with the population growth and urban's development. Travel behaviors of the population in urban areas can be classified based on their travel characteristics. The identification of communities' travel behavior of Yogyakarta is based on the origin - destination and length of trip based on age characteristics. It will effects the travel patterns in the urban environment through spatial mapping. The method used in this research is critical path method. Critical Path Method (CPM) is used to determine the optimum path taken by the community based on its duration, which in this study CPM is used to determine the average travel of the community based on age groups when viewed from distance, length of trip and the number of daily trips. Based on the analysis, it shows that the average age of 15-22 years and 31-37 years have the highest travel time, which is about 9 hours and the average age of 23-30 years traveled the longest by 12.5 km. The average mobilization of travel behaviors in KPY is to the urbancenter of Yogyakarta. The KPY urban form does not have a compact form. 

scholarly journals relationship between urban form and mode choice in US and Mexican cities: A comparative analysis of workers’ commutes

2021 ◽  
Vol 14 (1) ◽  
pp. 441-462
Author(s):  
Erick Guerra ◽  
Meiqing Li
Keyword(s):  
Travel Behavior ◽  
Urban Form ◽  
Urban Areas ◽  
Mode Choice ◽  
The United States ◽  
Logit Models ◽  
Empirical Relationships ◽  
Private Vehicle ◽  
Multinomial Logit Models ◽  
The Us

This paper examines empirical relationships among commuters’ mode choice, metropolitan urban form, and socioeconomic attributes in the 100 largest urban areas in the United States and Mexico. Fitting multinomial logit models to data for more than 5 million commuters and their home urban area, we find several consistent relationships and several important differences in relationships among urban form and travel behavior. In both countries, urban residents living in housing types associated with more centrally located housing in more densely populated urban areas with less roadway are less likely to commute by private vehicle than similar residents in other housing types and other urban areas. In addition to some differences in the strength, significance, and signs of several predictor variables, we find large differences in elasticity estimates across contexts. In particular, the US’s high rates of driving and generally car-friendly urban form mean that even dramatic shifts in urban form or income result in only small predicted changes in the probability of commuting by private vehicle. We conclude that land use and transportation policies likely have a more substantial role in shaping commute patterns in countries like Mexico than in countries like the US.

Developing physical resilience strategies in passive defense according to identification of endangered areas of urban environments (case study: Ahvaz city)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mozhdeh Pouryarmohammadi ◽  
Hasan Ahmadi ◽  
AliAkbar Salaripour
Keyword(s):  
Risk Assessment ◽  
At Risk ◽  
Urban Form ◽  
Urban Areas ◽  
Quality Function Deployment ◽  
Quantitative Methods ◽  
City Centre ◽  
Urban Resilience ◽  
Content Type ◽  
Oil Companies

Purpose This paper aims to focus on reducing the vulnerability of Ahvaz city against urban disasters and lowering the number of casualties and amount of financial losses using modern approaches to develop resilience strategies that can increase urban safety to an acceptable level. The strategic situation of Ahvaz city, because of its abundant resources, the war experience and its location on the boundary regions of Iran, highlights its significance. Ahvaz has a high population and an extended texture, and the existence of extraordinary constructions increases the importance of physical resilience in this city. Design/methodology/approach The present study investigates built environment aspects such as the urban structure, the urban form, land-use proximity pattern, urban road network and crucial and vulnerable centres in Ahvaz, using a combination of qualitative and quantitative methods. Hence, the areas at risk in Ahvaz were identified and illustrated in a comprehensive risk assessment map, and then, by using the strengths, weaknesses, opportunities and threats technique and finally by using the Delphi method, some strategies and plans were presented to reduce the level of vulnerability in Ahvaz. Then, these strategies are prioritized by applying quality function deployment (QFD) technique. Findings The risk assessment result shows that most parts of Ahvaz’s urban areas are highly at risk. The central and northern parts of Ahvaz have the highest vulnerability at a time of crisis. These zones include district 1 (city centre) and districts 2, 3 and 7 at the city’s margins. The result of QFD process showed that the essential urban resilience strategy is to positively consider the passive defence studies with a physical resilience approach. Also, the proper distribution of strategic points in the city, moving the industrial and oil companies from the peripheral area, and facilitating access to vital, crucial centres to support urban regions are considered the most effective strategic plans. Originality/value This paper, with an integrated approach, examines and prioritizes the main physical problems of Ahvaz city based on the spatial analysis and opinions of experts. The physical strategies presented in this paper can significantly reduce the risks and increase the urban resilience of Ahvaz city in the face of crisis.

Exploring the relationships between urban form metrics and the vegetation biomass loss under urban expansion in China

2018 ◽  
Vol 47 (3) ◽  
pp. 363-380
Author(s):  
Tong Zhang ◽  
Sophia Shuang Chen ◽  
Guangyu Li
Keyword(s):  
Urban Form ◽  
Urban Areas ◽  
Yangtze River ◽  
Green Space ◽  
Yangtze River Delta ◽  
Urban Morphology ◽  
Total Biomass ◽  
Urban Metrics ◽  
Biomass Loss ◽  
Loss Index

Compact urban form has been applied as a strategy to reduce the loss of green space that occurs from development, but the impact of this policy on the provision of green space still presents many uncertainties. This research investigated the statistical relationship between urban form indicators and the loss of vegetation biomass to understand the response of quality green space provision to changes in urban morphology. A methodology combining multi-source data assimilation, statistical analysis, and spatial analysis was adopted for the Yangtze River Delta cities of China. First, six urban metrics were selected to describe the shape and layout of urban patches in each city, and the total biomass loss index was then introduced as a parameter. The values of urban metrics and total biomass loss index were calculated for the 50 Yangtze River Delta cities. Second, ordinary least squares regression and geographically weighted regression analyses were then used to establish a quantitative relationship between total biomass loss index and urban form indicators. The results revealed an extremely negative correlation between total biomass loss index and the three urban variables of Richard compactness, density gradient, and the Gini coefficient; moreover, the parameter estimates for the three variables in the geographically weighted regression model were local and varied over space. Third, the mechanisms by which the urban form influences biomass loss were discussed and different urban form planning strategies for particular urban areas were suggested. In conclusion, compact urban form in a clustered layout of urban areas with a dense central agglomeration was verified to be ecologically superior and conducive to green space protection. For the physical interpretation of the statistical relationship between urban morphology and vegetation loss, the interface effect of urban agglomeration on vegetation merits further study.

scholarly journals Topological analysis of contemporary morphologies under conflict: The urban transformation of Dobrinja in Sarajevo and the Central District of Beirut

2017 ◽  
Author(s):  
Inés Aquilué ◽  
Estanislao Roca ◽  
Javier Ruiz
Keyword(s):  
Civil War ◽  
Urban Form ◽  
Urban Areas ◽  
Urban Morphology ◽  
Specific Method ◽  
Evolutionary Analysis ◽  
Lebanese Civil War ◽  
Post Conflict ◽  
Bosnian War ◽  
Central District

Regarding topological interpretation of space, this research aims to identify urban morphologies, whose topology becomes increasingly determining under high uncertainty. This topological approach has been applied in an evolutionary analysis of urban spaces under siege, fear and conflict, which conducted to the construction of a specific method. This method analyses the transformation of urban areas in five consecutive phases: urban form [1], increase of uncertainty [2], application of the apparatus [3], change in urban form [4], information flows [5]. These five phases were applied to different empirical studies, analysed through specific morphological and topological models. In the light of this method, two selected urban morphologies Dobrinja –a suburb in Sarajevo– and the Beirut Central District have been examined. The urban morphology of both areas was dramatically transformed after both civil conflicts –the Bosnian War and the Lebanese Civil War–. Dobrinja suffered severe modifications, first provoked by the violence of the siege during the Bosnian War [1992-1995], and then by the Inter-Entity Boundary Line as a result of the Dayton Peace Agreement [December 1995], which divided the neighbourhood and caused serious alterations in its ethno-demographic and spatial structure. The Beirut Central District was first destroyed by the violence experienced in the Lebanese Civil War [1975-1990] and then by the process of subsequent reconstruction [since 1992], which led to a simplification of its structure. The two morphological and topological analyses enable us to determine the initial causes and their spatial consequences in both urban areas, regarding their conflict and post-conflict stage.

scholarly journals The “Paris-End” of Town? Deriving Urban Typologies Using Three Imagery Types

Urban Science ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 27
Author(s):  
Kerry A. Nice ◽  
Jason Thompson ◽  
Jasper S. Wijnands ◽  
Gideon D. P. A. Aschwanden ◽  
Mark Stevenson
Keyword(s):  
Neural Networks ◽  
Satellite Imagery ◽  
Urban Form ◽  
Urban Areas ◽  
Global Scale ◽  
Lessons Learned ◽  
Targeted Interventions ◽  
Advantages And Disadvantages ◽  
Street View ◽  
Social Demographic

Urban typologies allow areas to be categorised according to form and the social, demographic, and political uses of the areas. The use of these typologies and finding similarities and dissimilarities between cities enables better targeted interventions for improved health, transport, and environmental outcomes in urban areas. A better understanding of local contexts can also assist in applying lessons learned from other cities. Constructing urban typologies at a global scale through traditional methods, such as functional or network analysis, requires the collection of data across multiple political districts, which can be inconsistent and then require a level of subjective classification. To overcome these limitations, we use neural networks to analyse millions of images of urban form (consisting of street view, satellite imagery, and street maps) to find shared characteristics between the largest 1692 cities in the world. The comparison city of Paris is used as an exemplar and we perform a case study using two Australian cities, Melbourne and Sydney, to determine if a “Paris-end” of town exists or can be found in these cities using these three big data imagery sets. The results show specific advantages and disadvantages of each type of imagery in constructing urban typologies. Neural networks trained with map imagery will be highly influenced by the structural mix of roads, public transport, and green and blue space. Satellite imagery captures a combination of both urban form and decorative and natural details. The use of street view imagery emphasises the features of a human-scaled visual geography of streetscapes. However, for both satellite and street view imagery to be highly effective, a reduction in scale and more aggressive pre-processing might be required in order to reduce detail and create greater abstraction in the imagery.

Breast Cancer in Latin America: A Map of the Disease in the Region

2018 ◽  
pp. 451-456 ◽  
Author(s):  
Eduardo Cazap
Keyword(s):  
Breast Cancer ◽  
Health Care ◽  
Latin America ◽  
Urban Areas ◽  
Access To Health Care ◽  
Cancer Control ◽  
Public Health Problem ◽  
The United States ◽  
High Morbidity ◽  
Patient Organizations

In the next few decades, breast cancer will become a leading global public health problem as it increases disproportionately in low- and middle-income countries. Disparities are clear when comparisons are made with rates in Europe and the United States, but they also exist between the countries of the region or even within the same country in Latin America. Large cities or urban areas have better access and resource availability than small towns or remote zones. This article presents the status of the disease across 12 years with data obtained through three studies performed in 2006, 2010, and 2013 and based on surveys, reviews of literature, patient organizations, and public databases. The first study provided a general picture of breast cancer control in the region (Latin America); the second compared expert perceptions with medical care standards; and the third was a review of literature and public databases together with surveys of breast cancer experts and patient organizations. We conclude that breast cancer is the most frequent cancer and kills more women than any other cancer; we also suggest that aging is the principal risk factor, which will drive the incidence to epidemic levels as a result of demographic transition in Latin America. The economic burden also is large and can be clearly observed: in countries that today allocate insufficient resources, women go undiagnosed or uncared for or receive treatment with suboptimal therapies, all of which results in high morbidity and the associated societal costs. The vast inequities in access to health care in countries translates into unequal results in outcomes. National cancer control plans are the fundamental building block to an organized governance, financing, and delivery of health care for breast cancer.

scholarly journals Quantifying the Effects of Urban Form on Land Surface Temperature in Subtropical High-Density Urban Areas Using Machine Learning

2019 ◽  
Vol 11 (8) ◽  
pp. 959 ◽  
Author(s):  
Yanwei Sun ◽  
Chao Gao ◽  
Jialin Li ◽  
Run Wang ◽  
Jian Liu
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Urban Form ◽  
Urban Areas ◽  
Thermal Environment ◽  
High Density ◽  
Cooling Effects ◽  
Urban Thermal Environment ◽  
The Impact

It is widely acknowledged that urban form significantly affects urban thermal environment, which is a key element to adapt and mitigate extreme high temperature weather in high-density urban areas. However, few studies have discussed the impact of physical urban form features on the land surface temperature (LST) from a perspective of comprehensive urban spatial structures. This study used the ordinary least-squares regression (OLS) and random forest regression (RF) to distinguish the relative contributions of urban form metrics on LST at three observation scales. Results of this study indicate that more than 90% of the LST variations were explained by selected urban form metrics using RF. Effects of the magnitude and direction of urban form metrics on LST varied with the changes of seasons and observation scales. Overall, building morphology and urban ecological infrastructure had dominant effects on LST variations in high-density urban centers. Urban green space and water bodies demonstrated stronger cooling effects, especially in summer. Building density (BD) exhibited significant positive effects on LST, whereas the floor area ratio (FAR) showed a negative influence on LST. The results can be applied to investigate and implement urban thermal environment mitigation planning for city managers and planners.

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