scholarly journals El entorno caminable como co-modalidad para el transporte público: el caso de Quito = The walkability as a function of co-modality to public transportation

2019 ◽  
pp. 130
Author(s):  
Alejandra Trujillo Hidalgo
Keyword(s):  
Sustainable Development ◽  
Urban Environment ◽  
Public Transport ◽  
Public Transportation ◽  
Transport Systems ◽  
Pedestrian Movement

ResumenEl transporte público y el desplazamiento a pie en las ciudades son elementos clave para el desarrollo sostenible. Distintas ciudades han optado por la implementación de sistemas de transporte público masivo para mejorar la movilidad y promover un desarrollo sostenible. Diversos autores han hablado de la importancia de la marcha a pie como parte de los viajes en transporte público. Los radios de cobertura de las estaciones de metro en distintas ocasiones podrían considerar un aumento del desplazamiento a pie. La investigación se centra en aumentar la caminabilidad alrededor de las estaciones de metro en Quito, de manera que, el caminar puede cumplir una función de co-modalidad para el transporte público. A partir del análisis de la accesibilidad, la densidad y la diversidad de usos se propone una metodología que permite demostrar la validez de las variables seleccionadas para fomentar la caminabilidad en un punto de conexión con transporte público en un entorno urbano en su mayor parte consolidado.AbstractPublic transportation and pedestrian movement in cities are key elements for sustainable development. Different cities have opted for the implementation of massive public transport systems to improve mobility and promote sustainable development. Several authors have talked about the importance of pedestrian movement as part of public transport trips. The investigation focuses on increasing the walkability around the stations of metro in Quito in order to promote walking as a function of co-modality for public transport. A methodology is proposed to demonstrate the validity of the selected variables to promote walkability at a point of connection with public transport in an urban environment for the most part consolidated.

scholarly journals El entorno caminable como co-modalidad para el transporte público: el caso de Quito = The walkability as a function of co-modality to public transportation

2019 ◽  
pp. 130
Author(s):  
Alejandra Trujillo Hidalgo
Keyword(s):  
Sustainable Development ◽  
Urban Environment ◽  
Public Transport ◽  
Public Transportation ◽  
Transport Systems ◽  
Pedestrian Movement

ResumenEl transporte público y el desplazamiento a pie en las ciudades son elementos clave para el desarrollo sostenible. Distintas ciudades han optado por la implementación de sistemas de transporte público masivo para mejorar la movilidad y promover un desarrollo sostenible. Diversos autores han hablado de la importancia de la marcha a pie como parte de los viajes en transporte público. Los radios de cobertura de las estaciones de metro en distintas ocasiones podrían considerar un aumento del desplazamiento a pie. La investigación se centra en aumentar la caminabilidad alrededor de las estaciones de metro en Quito, de manera que, el caminar puede cumplir una función de co-modalidad para el transporte público. A partir del análisis de la accesibilidad, la densidad y la diversidad de usos se propone una metodología que permite demostrar la validez de las variables seleccionadas para fomentar la caminabilidad en un punto de conexión con transporte público en un entorno urbano en su mayor parte consolidado.AbstractPublic transportation and pedestrian movement in cities are key elements for sustainable development. Different cities have opted for the implementation of massive public transport systems to improve mobility and promote sustainable development. Several authors have talked about the importance of pedestrian movement as part of public transport trips. The investigation focuses on increasing the walkability around the stations of metro in Quito in order to promote walking as a function of co-modality for public transport. A methodology is proposed to demonstrate the validity of the selected variables to promote walkability at a point of connection with public transport in an urban environment for the most part consolidated.

scholarly journals Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Network

2021 ◽  
Vol 13 (12) ◽  
pp. 6949
Author(s):  
Gang Lin ◽  
Shaoli Wang ◽  
Conghua Lin ◽  
Linshan Bu ◽  
Honglei Xu
Keyword(s):  
Sustainable Development ◽  
Public Transport ◽  
Public Transportation ◽  
Evaluation Criteria ◽  
Performance Standards ◽  
Transport Network ◽  
Process Models ◽  
Transport Infrastructure ◽  
Transport Networks ◽  
Ahp Model

To mitigate car traffic problems, the United Nations Human Settlements Programme (UN-Habitat) issued a document that provides guidelines for sustainable development and the promotion of public transport. The efficiency of the policies and strategies needs to be evaluated to improve the performance of public transportation networks. To assess the performance of a public transport network, it is first necessary to select evaluation criteria. Based on existing indicators, this research proposes a public transport criteria matrix that includes the basic public transport infrastructure level, public transport service level, economic benefit level, and sustainable development level. A public transport criteria matrix AHP model is established to assess the performance of public transport networks. The established model selects appropriate evaluation criteria based on existing performance standards. It is applied to study the Stonnington, Bayswater, and Cockburn public transport network, representing a series of land use and transport policy backgrounds. The local public transport authorities can apply the established transport criteria matrix AHP model to monitor the performance of a public transport network and provide guidance for its improvement.

Performance Comparison of Bus Travel Time Prediction Models across Indian Cities

2018 ◽  
Vol 2672 (31) ◽  
pp. 87-98 ◽  
Author(s):  
Jairam R ◽  
B. Anil Kumar ◽  
Shriniwas S. Arkatkar ◽  
Lelitha Vanajakshi
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Public Transportation ◽  
Prediction Models ◽  
Road Traffic ◽  
Performance Comparison ◽  
Heterogeneous Traffic ◽  
Transport Systems ◽  
Intelligent Transport System ◽  
Travel Time Prediction

Road traffic congestion has become a global worry in recent years. In many countries congestion is a major factor, causing noticeable loss to both economy and time. The rapid increase in vehicle ownership accompanied by slow growth of infrastructure has resulted in space constraints in almost all major cities in India. To mitigate this issue, authorities have shifted to more sustainable management solutions like Intelligent Transport System (ITS). Advanced Public Transportation System (APTS) is an important area in ITS which could considerably offset the growing ownership of private vehicles as public transport holds a noticeable mode share in several major cities in India. Getting access to real-time information about public transport would certainly attract more users. In this regard, this work aims at developing a reliable structure for predicting arrival/travel time of various public transport systems under heterogeneous traffic conditions existing in India. The data used for the study is collected from three cities—Surat, Mysore, and Chennai. The data is analyzed across space and time to extract patterns which are further utilized in prediction models. The models examined in this paper are k-NN classifier, Kalman Filter and Auto-Regressive Integrated Moving Average (ARIMA) techniques. The performance of each model is evaluated and compared to understand which methods are suitable for different cities with varying characteristics.

scholarly journals Masivo: Parallel Simulation Model Based on OpenCL for Massive Public Transportation Systems’ Routes

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1501
Author(s):  
Juan Ruiz-Rosero ◽  
Gustavo Ramirez-Gonzalez ◽  
Rahul Khanna
Keyword(s):  
Simulation Model ◽  
Transport System ◽  
Public Transport ◽  
Public Transportation ◽  
High Performance ◽  
Simulation Models ◽  
Transportation Systems ◽  
Transport Systems ◽  
Public Transport System ◽  
Speed Up

There is a large number of tools for the simulation of traffic and routes in public transport systems. These use different simulation models (macroscopic, microscopic, and mesoscopic). Unfortunately, these simulation tools are limited when simulating a complete public transport system, which includes all its buses and routes (up to 270 for the London Underground). The processing times for these type of simulations increase in an unmanageable way since all the relevant variables that are required to simulate consistently and reliably the system behavior must be included. In this paper, we present a new simulation model for public transport routes’ simulation called Masivo. It runs the public transport stops’ operations in OpenCL work items concurrently, using a multi-core high performance platform. The performance results of Masivo show a speed-up factor of 10.2 compared with the simulator model running with one compute unit and a speed-up factor of 278 times faster than the validation simulator. The real-time factor achieved was 3050 times faster than the 10 h simulated duration, for a public transport system of 300 stops, 2400 buses, and 456,997 passengers.

scholarly journals Rationalizing Urban Transportation using Smart Card Data

2019 ◽  
Vol 8 (11S) ◽  
pp. 507-515
Keyword(s):  
Smart Card ◽  
Public Transport ◽  
Public Transportation ◽  
Urban Population ◽  
Transport Systems ◽  
Living Standard ◽  
Transit System ◽  
Advantages And Disadvantages ◽  
Smart Card Data ◽  
The Impact

The urban population in 2014 accounted for 54% of the total global population, up from 34% in 1960, and continues to grow. The global urban population is expected to grow approximately 1.84%, 1.63% and 1.44% between 2015 and 2020, 2020 and 2025, and 2025 and 2030 respectively. This growing population puts pressure on government not only to accommodate the current and potential citizens but also provide them facilities and services for a better living standard. Providing a sustainable growing environment for the citizens is the biggest challenge for the government. As the populations increase, complexity network of transportation, water and sanitation, emergency services, etc. will increase many folds. SMART CITY Mission is being implemented to resolve this issue. As the cities turn smart, so should the transportation facilities. India on June 2018 had only 20 cities with populations of over 500,000 have organized public transport systems, pointing to the large gap to be bridged in their journey to turn smart. The aim of this paper is to examine the impact of smart card data from public transport for improving the predictions and planning of public transport usage and congestions. The mobile apps like M-Indicator, Google Maps don’t interlink, do not have a real time tracking of vehicles, fare distribution, congestion-based route mapping for public transportation. These factors are addressed in the paper with its advantages and disadvantages. This paper also talks about how information from smart card is to be extracted, how Big Data is to be managed and finally come to a smart, sustainable Urban Transit System. This paper also brings into light the data security issues and measures to curb those issues. This paper proposes and emphasizes on a single smart card for all modes of public transport

scholarly journals To crash on the bus (or sit on needles and pins)? – buses and subways in teenage everyday geographies

2019 ◽  
Vol 197 (2) ◽  
pp. 280-294
Author(s):  
Maja Lagerqvist
Keyword(s):  
Young People ◽  
Everyday Life ◽  
Public Transport ◽  
Public Transportation ◽  
Daily Life ◽  
Social Sustainability ◽  
Transport Systems ◽  
Strategic Choices ◽  
The Everyday ◽  
Complex Picture

When young people travel, they are often very dependent on public transport or parents. This study uses interviews with 16–19 years old teenagers in Stockholm to investigate their everyday experiences of public transit. The paper explores the experiences of buses and subways, here conceptualized as mobile places, to understand how they shape teenagers’ daily life. Understanding teenagers’ experiences of public transportation is part of understanding their everyday life, struggles, and possibilities to be mobile and participate in society. It is also a step towards ensuring that they find public transportation inclusive, safe, and worth traveling with today and in the future. Conceptually, the analysis focuses on how these mobile places are experienced as providing weights or reliefs to the everyday and if, how and when they may be places of interaction or retreat, addressing two needs in teenagers’ personal being and development. The study shows how various experiences of traveling with buses and subways shape how the teenagers feel, and how they make strategic choices in relation to this. A quite manifold, varying, and complex picture of public transportation arises, with stories of wellbeing, comfort, discomfort, and exclusion, and with sharp differences between girls and boys, and between buses and subways. These nuances are essential in planning and evaluation of transport systems in regard to how, when, where, or for whom public transport can be a part of social sustainability, as public policies often assume. 

scholarly journals Walking Access to Public Transportation Stops for City Residents. A Comparison of Methods

2019 ◽  
Vol 11 (14) ◽  
pp. 3758
Author(s):  
Piotr Kaszczyszyn ◽  
Natalia Sypion-Dutkowska
Keyword(s):  
Sustainable Development ◽  
Public Transport ◽  
Public Transportation ◽  
Housing Estate ◽  
Comparison Of Methods ◽  
Residential Areas ◽  
Bus Stop ◽  
Circular Buffer ◽  
Band Method ◽  
The City

Public transportation in cities is crucial for their sustainable development. The attractiveness of public transport for city residents depends largely on whether they are able to access the nearest stop on foot. The actual time of walking to the nearest stop and the distance covered can be measured using the band method or the circular buffer method. The accuracy of the two methods was compared for the city of Szczecin and one of its residential areas, Pomorzany (ca. 20,000 inhabitants, ca. 7 km2 area). The city provides public tram and bus transportation and has 90 km of streets and pedestrian paths. As shown by the results, the band method proved more accurate in measuring public transport stop accessibility. It showed 53.8% of the stops to be highly accessible, whereas 37.8%, 7.8%, and 0.5% were classified as moderately accessible, poorly accessible, and inaccessible, respectively; the latter would be hardly expected to be used by pedestrians in the Pomorzany neighborhood. The band method allowed also to indicate potential location of a new bus stop which would significantly improve accessibility of public transportation to residents of a housing estate (3000 inhabitants) in the area.

scholarly journals Building and Publishing Fundamental Transit Data for Regional Public Transportation Provided by Municipalities

2020 ◽  
Vol 308 ◽  
pp. 01005 ◽  
Author(s):  
Chinasa Sueyoshi ◽  
Hideya Takagi ◽  
Yoshihiro Yasutake ◽  
Kentaro Inenaga
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Transportation Systems ◽  
Transport Systems ◽  
The Internet ◽  
Local Resident ◽  
Lack Of Information ◽  
Residential Population ◽  
Transportation Routes ◽  
Route Search

Public transportation is becoming increasingly important in regions where the residential population is decreasing. In Japan, many regional transportation systems are experiencing financial challenges. It is difficult for fixed-route transportation systems to operate at a surplus when serving only local resident users. We consider one of the problems of these regional public transport systems to be the lack of information on the Internet about regional public transportation routes. For people who are unfamiliar with the region, such as inbound tourists, there is no easy way to conduct a route search. In this paper, we describe our efforts to build a fundamental database of the regional public transportation provided by municipalities and to publish this data for those conducting route searches on the Internet. Specifically, we converted fundamental data regarding regional public transportation to the feed of the General Transit Feed Specification-Japan (GTFS-JP), which is based on the Google GTFS, as formulated by the Ministry of Land in Japan. Then we encouraged municipalities to publish these transit data to enable route searches on Google Maps and other domestic-content providers.

scholarly journals Exploring the Interoperability of Public Transport Systems for Sustainable Mobility in Developing Cities: Lessons from Johannesburg Metropolitan City, South Africa

2020 ◽  
Vol 12 (15) ◽  
pp. 5875 ◽  
Author(s):  
Trynos Gumbo ◽  
Thembani Moyo
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Transportation Systems ◽  
The State ◽  
Transport Systems ◽  
Moran's I ◽  
Transit Systems ◽  
The Public ◽  
Metropolitan City ◽  
Local Moran’S I Index

There have been growing concerns with regards to the state public transportation systems, particularly in the cities of developing countries. Chief among these concerns has been the lack of well-coordinated, efficient, and reliable transportation systems. The city of Johannesburg, just like any other fast-growing municipality in developing and emerging economies, has not been spared with regards to incessant public transport challenges. Consequently, there have been collective efforts from both public and private stakeholders to invest immensely in both innovative rail and road transport systems in the past decade. This article sought to achieve twin objectives. First, the work identified the state of connectivity between the rapid rail transportation and rapid bus transit systems based on Geoweb 2.0 data. Second, the work visualized the level of connectivity between these two modes to develop and formulate policy frameworks in integrating public transit systems in cities of the developing world, learning from the metropolitan city of Johannesburg. A mixed-method approach consisting of spatial and quantitative aspects was used to examine the state of connectedness and the promotion of access and mobility between the two modes. The local Moran’s I index was used to compute node clusters within the public transport system. Results from the analysis demonstrated that both high-clusters and low-clusters exist in the public transportation network, which have a high degree of centrality. It was revealed that commuters navigate from these nodes/stops with relative ease due to the short walking radius. However, the work revealed that most rail networks and bus routes, as well as the stations and bus stops, are not connected and are not significant in the local Moran’s I index, thus, making it difficult for commuters to conveniently move from the Gautrain to the Rea Vaya bus. There are, therefore, gaps with regards to the sharing of infrastructure between the two public transport modes and systems.

scholarly journals Strategic Planning for Integrated Mobility-on-Demand and Urban Public Bus Networks

2020 ◽  
Vol 54 (6) ◽  
pp. 1616-1639
Author(s):  
Konrad Steiner ◽  
Stefan Irnich
Keyword(s):  
Real World ◽  
Public Transport ◽  
Public Transportation ◽  
Network Planning ◽  
Transport Systems ◽  
Real World Data ◽  
Public Network ◽  
On Demand ◽  
Route Network ◽  
Bus Networks

App-based services and ridesharing in the field of mobility-on-demand (MoD) create a new mode of transport between motorized individual transport and public transportation whose long-term role in the urban mobility landscape and within public transport systems is not fully understood as of today. For the public transport industry, these new services offer new chances but also risks, making planning models and tools for integrated intermodal network planning indispensable. We develop a strategic network planning optimization model for bus lines that allows for intermodal trips with MoD as a first or last leg. Starting from an existing public transport network, we decide simultaneously on the use of existing line segments in the future fixed-route network, on areas of the city where an integrated MoD service should be offered, on how MoD interacts with the fixed-route network via transfer points, and on passenger routes fulfilling given service-level requirements. The main challenges from a modeling point of view are to capture the interplay between MoD services and the fixed public network, as well as the approximation of MoD costs taking into account that vehicle utilization is a key factor influencing these costs. We develop a path-based formulation and a branch-and-price algorithm, as well as an enhanced enumeration-based approach, to solve real-world instances to proven optimality. The solution methods are tested on instances generated with the help of real-world data from a medium-sized German city, Göttingen, that currently operates around 20 bus lines.

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