Cumulative (and self-reinforcing) spatial inequalities: Interactions between accessibility and segregation in four Brazilian metropolises

Author(s):  
Tainá A Bittencourt ◽  
Mariana Giannotti ◽  
Eduardo Marques

The inequalities that mark global society have been deepening worldwide. They materialize in cities, putting pressure on public transport systems for spatial and temporal supply, at the same time as mobility itself generates multifaceted inequalities. From empirical evidence of four socially and spatially distinct Brazilian cities — São Paulo, Rio de Janeiro, Curitiba, and Fortaleza — we explore how differences in scale, geography, class, and race are related to spatial segregation, leading to different levels of access to jobs by public transport in the global peripheral context. These juxtaposed and combined inequalities create highly unfair and strongly cumulative effects on some social groups, contributing to the reproduction of inequality. Based on public and open data and combining methodologies of spatial analysis to enhance comparability and reproducibility, we explore different areal units, time thresholds, and metrics in order to examine transport inequalities in different urban contexts and refine our results. Upper classes have higher accessibility than lower classes, whites have higher accessibility than blacks, and large cities are more unequal than smaller ones. However, racial inequalities combine and overlap with class and city inequalities, changing these dichotomic notions when multiple dimensions are considered. The groups that polarize social hierarchy also polarize the urban space, since the white upper class and the black lower class are more segregated, but the way segregation interacts with accessibility is not straightforward and varies according to the socio-spatial structure.

2021 ◽  
Vol 7 (2) ◽  
pp. 146
Author(s):  
Can Bıyık ◽  
Ahmad Abareshi ◽  
Alexander Paz ◽  
Rosa Arce Ruiz ◽  
Rosaria Battarra ◽  
...  

Traffic congestion and air pollution continue to be serious concerns, especially in large cities, and going forward, this is not sustainable. Urban transport around the world is facing challenges, such as air pollution and inefficient use of resources, that often inhibit economic development. Simply building more roads cannot address such challenges. There is a need to integrate the urban infrastructure through smart connectivity. Smart mobility, as a vital cornerstone of a smart city, will potentially reduce traffic jams, commuting times, and road crashes and create an opportunity for passengers to customize their journeys. In fact, planning smart mobility solutions is among the top challenges for large cities around the world. It involves a set of deliberate actions backed by sophisticated technologies. The different elements and dimensions that characterize smart mobility are investigated to depict the overall picture surrounding the smart mobility domain. Additionally, the trends, opportunities, and threats inherent to smart mobility are addressed. There are four segments of smart mobility that are highlighted in this paper: intelligent transport systems, open data, big data analytics, and citizen engagement. These segments are all inter-related and play a crucial role in the successful implementation of smart mobility.


Author(s):  
Hermann Orth ◽  
Andrew Nash ◽  
Ulrich Weidmann

The public transport network level is defined and is used to describe the performance and future improvement of the public transport system in Zurich, Switzerland. A public transport level is a specific type of service designed to serve a particular market. “Service” is defined as a combination of vehicles, infrastructure, and operating characteristics. A pure level occurs when the service is targeted specifically at one particular market. A hybrid level occurs when a service is targeted to serve several markets. Urban travel is generally described as three markets: short, inter mediate, and long-distance trips. Consequently many cities have developed three-level public transport networks: surface buses and trams to serve short trips, rapid rail to serve intermediate trips, and regional rail to serve longer-distance trips. Often, by design or for historic reasons, cities have additional levels, fewer levels, levels that are not precisely matched to their markets, or all three. For example, two-level networks are often found in medium-sized cities. Their advantage is lower costs, and their main disadvantage is a mismatch between transport mode and market that manifests itself in capacity limitations. The level concept to help analyze and plan public transport service is useful because it focuses attention on matching service qualities to markets. This approach, used here to analyze the success of the public transport system of Zurich, Switzerland, and to provide a structure for planning improvements that will be needed to meet rapidly increasing public transport demand, could help other cities design or redesign their public transport systems to be more attractive and efficient. More specifically, the approach could show how two-level public transport networks would be a viable option for medium-sized cities and large cities with dispersed settlement patterns.


2020 ◽  
Vol 2020 (2) ◽  
pp. 57-64
Author(s):  
Ivanna Gits ◽  
◽  
Mykola Zhuk ◽  
Halyna Pivtorak ◽  
◽  
...  

The demand for public transport on the example of Lviv city is analyzed in the paper. The aim of the trip, the duration of the trip, vehicle occupancy rate, walking approach to the stop, and the choice of public transport mode are determined as the main impact factors. The questioning of 1100 users of public transport is carried out. During the formation of transport strategy of public transport system functioning in large cities, it is necessary to consider such factors of functioning as optimal, from the view of transport provision, location of places of work and study, trips are up to 45 min; vehicle occupation rate is up to 80% (on the most routes); the walking distance is up to 600 m; vehicles of large capacity. The provision of these indicators in transport systems will provide an opportunity to increase the effectiveness and enlarge the demand for public transport services as a result of qualitative functioning.


2021 ◽  
Vol 91 ◽  
pp. 102975
Author(s):  
Anderson Paulo Rudke ◽  
Jorge Alberto Martins ◽  
Alex Mota dos Santos ◽  
Witan Pereira Silva ◽  
Nathan F. da Silva Caldana ◽  
...  

2021 ◽  
Vol 13 (4) ◽  
pp. 2178
Author(s):  
Songkorn Siangsuebchart ◽  
Sarawut Ninsawat ◽  
Apichon Witayangkurn ◽  
Surachet Pravinvongvuth

Bangkok, the capital city of Thailand, is one of the most developed and expansive cities. Due to the ongoing development and expansion of Bangkok, urbanization has continued to expand into adjacent provinces, creating the Bangkok Metropolitan Region (BMR). Continuous monitoring of human mobility in BMR aids in public transport planning and design, and efficient performance assessment. The purpose of this study is to design and develop a process to derive human mobility patterns from the real movement of people who use both fixed-route and non-fixed-route public transport modes, including taxis, vans, and electric rail. Taxi GPS open data were collected by the Intelligent Traffic Information Center Foundation (iTIC) from all GPS-equipped taxis of one operator in BMR. GPS probe data of all operating GPS-equipped vans were collected by the Ministry of Transport’s Department of Land Transport for daily speed and driving behavior monitoring. Finally, the ridership data of all electric rail lines were collected from smartcards by the Automated Fare Collection (AFC). None of the previous works on human mobility extraction from multi-sourced big data have used van data; therefore, it is a challenge to use this data with other sources in the study of human mobility. Each public transport mode has traveling characteristics unique to its passengers and, therefore, specific analytical tools. Firstly, the taxi trip extraction process was developed using Hadoop Hive to process a large quantity of data spanning a one-month period to derive the origin and destination (OD) of each trip. Secondly, for van data, a Java program was used to construct the ODs of van trips. Thirdly, another Java program was used to create the ODs of the electric rail lines. All OD locations of these three modes were aggregated into transportation analysis zones (TAZ). The major taxi trip destinations were found to be international airports and provincial bus terminals. The significant trip destinations of vans were provincial bus terminals in Bangkok, electric rail stations, and the industrial estates in other provinces of BMR. In contrast, electric rail destinations were electric rail line interchange stations, the central business district (CBD), and commercial office areas. Therefore, these significant destinations of taxis and vans should be considered in electric rail planning to reduce the air pollution from gasoline vehicles (taxis and vans). Using the designed procedures, the up-to-date dataset of public transport can be processed to derive a time series of human mobility as an input into continuous and sustainable public transport planning and performance assessment. Based on the results of the study, the procedures can benefit other cities in Thailand and other countries.


2021 ◽  
Vol 10 (5) ◽  
pp. 321
Author(s):  
Alessandro Emilio Capodici ◽  
Gabriele D’Orso ◽  
Marco Migliore

Background: In a world where every municipality is pursuing the goals of more sustainable mobility, bicycles play a fundamental role in getting rid of private cars and travelling by an eco-friendly mode of transport. Additionally, private and shared bikes can be used as a feeder transit system, solving the problem of the first- and last-mile trips. Thanks to GIS (Geographic Information System) software, it is possible to evaluate the effectiveness of such a sustainable means of transport in future users’ modal choice. Methods: Running an accessibility analysis of cycling and rail transport services, the potential mobility demand attracted by these services and the possible multimodality between bicycle and rail transport systems can be assessed. Moreover, thanks to a modal choice model calibrated for high school students, it could be verified if students will be really motivated to adopt this solution for their home-to-school trips. Results: The GIS-based analysis showed that almost half of the active population in the study area might potentially abandon the use of their private car in favour of a bike and its combination with public transport systems; furthermore, the percentage of the students of one high school of Palermo, the Einstein High School, sharply increases from 1.5% up to 10.1%, thanks also to the combination with the rail transport service. Conclusions: The GIS-based methodology shows that multimodal transport can be an effective way to pursue a more sustainable mobility in cities and efficiently connect suburbs with low-frequent public transport services to the main public transport nodes.


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