Do Bus Rapid Transit Systems Improve Accessibility to Jobs?: The Case of Lima, Peru

Scholl, Lynn; Oviedo, Daniel; Innao, Marco; Pedraza, Lauramaría

doi:10.18235/0001525

Cited by 2 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Para calcular el tiempo, si bien algunos trabajos llegan a considerar el automóvil como medio de transporte para llegar al trabajo o los transportes informales como los taxis compartidos o las busetas (Niehaus, Galilea and Hurtubia, 2016;Domarchi, Coeymans and Ortúzar, 2019;Pereira, 2019), la mayoría de trabajos estudian la movilidad considerando el transporte público formal porque es el más fácil de medir y el que por excelencia utilizan los grupos en condición de exclusión. Algunos autores estudian el acceso a las paradas de transporte (Delmelle and Casas, 2012;Guzmán, Oviedo and Rivera, 2017;Scholl et al, 2018).…”

Section: Marco Teóricounclassified

Las variables de movilidad que limitan el acceso al empleo en Montevideo

Olarte¹,

Carrillo²,

Miño³

2023

ACE: Architecture, City and Environment

View full text Add to dashboard Cite

Aquesta recerca analitza com l'elevada desigualtat i la limitada política pública a Llatinoamèrica han permès que la segregació residencial socioeconòmica (SRS) produeixi una bretxa abismal entre els barris. Els atributs actius són característiques pròpies de cada barri que perpetuen el resultat de la SRS aprofundint la condició econòmica dels seus residents. En els barris marginats, la mala mobilitat és un atribut actiu que contribueix a la pobresa dels seus habitants en limitar l'accés a una ocupació formal de qualitat. En aquest treball analitzem per a la ciutat de Montevideo la relació entre la mobilitat i l'ocupació com a estratègia per a superar la pobresa. Apliquem estadística descriptiva i un model lineal estimat amb mètodes bayesians. Els resultats mostren que el temps de trajecte, la densitat del transport col·lectiu i la despesa es relacionen amb majors nivells de pobresa. Les troballes concorden amb l'evidència empírica existent per a altres ciutats de la regió. El transport públic en aquest cas el de Montevideo no contribueix a reduir la desigualtat com a resultat de la SRS. This research analyzes how high inequality and limited public policy in Latin America have allowed socioeconomic residential segregation (SRS) to produce an abysmal gap between neighborhoods. Active attributes are neighborhood-specific characteristics that perpetuate the outcome of SRS by deepening the economic condition of its residents. In marginalized neighborhoods, poor mobility is an active attribute that contributes to poverty by limiting access to quality formal employment. This paper analyzes for the city of Montevideo the relationship between mobility and employment as a strategy to overcome poverty. We apply descriptive statistics and a linear model estimated with Bayesian methods. The results show that travel time, public transport density and expenditure are related to higher levels of poverty. The findings are consistent with existing empirical evidence for other cities in the region. Public transport, in this case in Montevideo, does not contribute to reducing inequality as a result of the SRS. La presente investigación analiza como la elevada desigualdad y la limitada política pública en Latinoamérica han permitido que la segregación residencial socioeconómica (SRS) produzca una brecha abismal entre los barrios. Los atributos activos son características propias de cada barrio que perpetúan el resultado de la SRS profundizando la condición económica de sus residentes. En los barrios marginados, la mala movilidad es un atributo activo que contribuye a la pobreza de sus habitantes al limitar el acceso a un empleo formal de calidad. En este trabajo analizamos para la ciudad de Montevideo la relación entre la movilidad y el empleo como estrategia para superar la pobreza. Aplicamos estadística descriptiva y un modelo lineal estimado con métodos bayesianos. Los resultados muestran que el tiempo de trayecto, la densidad del trasporte colectivo y el gasto se relacionan con mayores niveles de pobreza. Los hallazgos concuerdan con la evidencia empírica existente para otras ciudades de la región. El transporte público en este caso el de Montevideo no contribuye a reducir la desigualdad como resultado de la SRS.

show abstract

Section: Marco Teóricounclassified

Las variables de movilidad que limitan el acceso al empleo en Montevideo

Olarte¹,

Carrillo²,

Miño³

2023

ACE: Architecture, City and Environment

View full text Add to dashboard Cite

show abstract

Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map

Malhotra

White

Cruz³

et al. 2021

Campbell Systematic Reviews

View full text Add to dashboard Cite

Background There are great disparities in the quantity and quality of infrastructure. European countries such as Denmark, Germany, Switzerland, and the UK have close to 200 km of road per 100 km2, and the Netherlands over 300 km per 100 km2. By contrast, Kenya and Indonesia have <30, Laos and Morocco <20, Tanzania and Bolivia <10, and Mauritania only 1 km per 100 km2. As these figures show, there is a significant backlog of transport infrastructure investment in both rural and urban areas, especially in sub‐Saharan Africa. This situation is often exacerbated by weak governance and an inadequate regulatory framework with poor enforcement which lead to high costs and defective construction. The wellbeing of many poor people is constrained by lack of transport, which is called “transport poverty”. Lucas et al. suggest that up to 90% of the world's population are transport poor when defined as meeting at least one of the following criteria: (1) lack of available suitable transport, (2) lack of transport to necessary destinations, (3) cost of necessary transport puts household below the income poverty line, (4) excessive travel time, or (5) unsafe or unhealthy travel conditions. Objectives The aim of this evidence and gap map (EGM) is to identify, map, and describe existing evidence from studies reporting the quantitative effects of transport sector interventions related to all means of transport (roads, rail, trams and monorail, ports, shipping, and inland waterways, and air transport). Methods The intervention framework of this EGM reframes Berg et al's three categories (infrastructure, prices, and regulations) broadly as infrastructure, incentives, and institutions as subcategories for each intervention category which are each mode of transport (road, rail trams and monorail, ports, shipping, and inlands waterways, and air transport). This EGM identifies the area where intervention studies have been conducted as well as the current gaps in the evidence base. This EGM includes ongoing and completed impact evaluations and systematic reviews (SRs) of the effectiveness of transport sector interventions. This is a map of effectiveness studies (impact evaluations). The impact evaluations include experimental designs, nonexperimental designs, and regression designs. We have not included the before versus after studies and qualitative studies in this map. The search strategies included both academic and grey literature search on organisational websites, bibliographic searches and hand search of journals. An EGM is a table or matrix which provides a visual presentation of the evidence in a particular sector or a subsector. The map is presented as a matrix in which rows are intervention categories (e.g., roads) and subcategories (e.g., infrastructure) and the column outcome domains (e.g., environment) and subcategories as (e.g., air quality). Each cell contains studies of the corresponding intervention for the relevant outcome, with links to the available studies. Included studies were coded according to the interve...

show abstract

Do Bus Rapid Transit Systems Improve Accessibility to Jobs?: The Case of Lima, Peru

Cited by 2 publications

References 13 publications

Las variables de movilidad que limitan el acceso al empleo en Montevideo

Las variables de movilidad que limitan el acceso al empleo en Montevideo

Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map

Contact Info

Product

Resources

About