José D. Meisel

Universidad de Ibagué

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Olga L. Sarmiento

Universidad de Los Andes

Felipe Montes

Universidad de Los Andes

Pablo Lemoine

Universidad de Los Andes

J. A. Valdivia

Worcester Polytechnic Institute

Roberto Zarama

Universidad de Los Andes

Ivana Stankov

University of South Australia

Ana V. Diez Roux

Drexel University

Ross A. Hammond

Brookings Institution

Andrés F. Useche

Universidad de Los Andes

Silvia A. González

Universidad de Los Andes

Cooperative Institutions

Universidad de Los Andes

Drexel University

Universidad de Los Andes

University of Chile

Pontificia Universidad Católica de Chile

Instituto Nacional de Salud Pública

Fundação Oswaldo Cruz

Universidade Federal de Minas Gerais

Johns Hopkins University

University of California, Berkeley

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A systematic review of empirical and simulation studies evaluating the health impact of transportation interventions

Environmental Research (2020)

Ivana Stankov Leandro Martin Totaro Garcia Maria Antonietta Mascolli Felipe Montes José D. Meisel

Urban transportation is an important determinant of health and environmental outcomes, and therefore essential to achieving the United Nation's Sustainable Development Goals. To better understand the health impacts of transportation initiatives, we conducted a systematic review of longitudinal health evaluations involving: a) bus rapid transit (BRT); b) bicycle lanes; c) Open Streets programs; and d) aerial trams/cable cars. We also synthesized systems-based simulation studies of the health-related consequences of walking, bicycling, aerial tram, bus and BRT use. Two reviewers screened 3302 unique titles and abstracts identified through a systematic search of MEDLINE (Ovid), Scopus, TRID and LILACS databases. We included 39 studies: 29 longitudinal evaluations and 10 simulation studies. Five studies focused on low- and middle-income contexts. Of the 29 evaluation studies, 19 focused on single component bicycle lane interventions; the rest evaluated multi-component interventions involving: bicycle lanes (n = 5), aerial trams (n = 1), and combined bicycle lane/BRT systems (n = 4). Bicycle lanes and BRT systems appeared effective at increasing bicycle and BRT mode share, active transport duration, and number of trips using these modes. Of the 10 simulation studies, there were 9 agent-based models and one system dynamics model. Five studies focused on bus/BRT expansions and incentives, three on interventions for active travel, and the rest investigated combinations of public transport and active travel policies. Synergistic effects were observed when multiple policies were implemented, with several studies showing that sizable interventions are required to significantly shift travel mode choices. Our review indicates that bicycle lanes and BRT systems represent promising initiatives for promoting population health. There is also evidence to suggest that synergistic effects might be achieved through the combined implementation of multiple transportation policies. However, more rigorous evaluation and simulation studies focusing on low- and middle-income countries, aerial trams and Open Streets programs, and a more diverse set of health and health equity outcomes is required.

Bus rapid transit

Sustainable transport

Mode choice

Mode of transport

10.1016/j.envres.2020.109519

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Citations (37)

Uncovering physical activity tradeoffs in transportation policy: A spatial agent-based model of Bogotá, Colombia

Research Square (Research Square) (2023)

Ivana Stankov José D. Meisel Olga L. Sarmiento Xavier Delclòs‐Alió Darío Hidalgo

Abstract Background: Transportation policies can impact health outcomes while simultaneously promoting social equity and environmental sustainability. We developed an agent-based model (ABM) to simulate the impacts of fare subsidies and congestion taxes on commuter decision-making and travel patterns. We report effects on mode share, travel time and transport-related physical activity (PA), including the variability of effects by socioeconomic strata (SES), and the tradeoffs that may need to be considered in the implementation of these policies in a context with high levels of necessity-based physical activity. Methods: The ABM design was informed by local stakeholder engagement. The demographic and spatial characteristics of the in-silico city, and its residents, were informed by local surveys and empirical studies. We used ridership and travel time data from the 2019 Bogota Household Travel Survey to calibrate and validate the model by SES. We then explored the impacts of fare subsidy and congestion tax policy scenarios. Results: Our baseline model reproduced commuting patterns observed in Bogotá. Its outputs were also robust to sensitivity analyses. At the city-level, congestion taxes fractionally reduced car use, including among mid-to-high SES groups but not among low SES commuters. Neither travel times, or physical activity levels were impacted at the city-level or by SES. Comparatively, fare subsidies promoted city-level public transit (PT) ridership, particularly under a ‘free-fare’ scenario, largely through reductions in walking trips. ‘Free fare’ policies also led to a large reduction in very long walking times, and an overall reduction in the commuting-based attainment of physical activity guidelines. Differential effects were observed by SES, with free fares promoting PT ridership primarily among low-and-middle SES groups. These shifts to PT reduced median walking times among all SES groups, particularly low-SES groups. Moreover, the proportion of low-to-mid SES commuters meeting weekly physical activity recommendations decreased under the free fare policy, with no change observed among high-SES groups. Conclusions: Transport policies can differentially impact SES-level disparities in necessity-based walking and travel times. Understanding these impacts is critical in shaping transportation policies that balance the dual aims of reducing SES-level disparities in travel time (and time poverty) and the promotion of choice-based physical activity.

Equity

Baseline (sea)

Mode choice

Discrete choice

Sustainable transport

10.21203/rs.3.rs-3539008/v1

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Urban Transformations and Health: Methods for TrUST—a Natural Experiment Evaluating the Impacts of a Mass Transit Cable Car in Bogotá, Colombia

Frontiers in Public Health (2020)

Olga L. Sarmiento Diana Higuera-Mendieta Maria A. Wilches-Mogollon Luis A. Guzmán Daniel A. Rodrı́guez

Background: Cable cars provide urban mobility benefits for vulnerable populations. However, no evaluation has assessed cable cars' impact from a health perspective. TransMiCable in Bogotá, Colombia, provides a unique opportunity to 1) assess the effects of its implementation on the environmental and social determinants of health (microenvironment pollution, transport accessibility, physical environment, employment, social capital, and leisure time), physical activity, and health outcomes (health-related quality of life, respiratory diseases, and homicides); and 2) use citizen science methods to identify, prioritize, and communicate the most salient negative and positive features impacting health and quality of life in TransMiCable's area, as well as facilitate a consensus and advocacy-building change process among community members, policymakers, and academic researchers. Methods: TrUST (In Spanish: Transformaciones Urbanas y Salud: el caso de TransMiCable en Bogotá) is a quasi-experimental study using a mixed-methods approach. The intervention group includes adults from Ciudad Bolívar, the area of influence of TransMiCable. The control group includes adults from San Cristóbal, an area of future expansion for TransMiCable. A conceptual framework was developed through group-model building. Outcomes related to environmental and social determinants of health as well as health outcomes are assessed using questionnaires (health outcomes, physical activity, and perceptions), secondary data (crime and respiratory outcomes) use of portable devices (air pollution exposure and accelerometry), mobility tracking apps (for transport trajectories), and direct observation (parks). The Stanford Healthy Neighborhood Discovery Tool is being used to capture residents' perceptions of their physical and social environments as part of the citizen science component of the investigation. Discussion: TrUST is innovative in its use of a mixed-methods, and interdisciplinary research approach, and in its systematic engagement of citizens and policymakers throughout the design and evaluation process. This study will help to understand better how to maximize health benefits and minimize unintended negative consequences of TransMiCable.

Health Impact Assessment

10.3389/fpubh.2020.00064

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Citations (30)

Identifying Potential Managerial Personnel Using PageRank and Social Network Analysis: The Case Study of a European IT Company

Applied Sciences (2021)

Jan Y. K. Chan Zhihao Wang Yunbo Xie Carlos A. Meisel José D. Meisel

Behavioral theory assumes that leaders can be identified by their daily behaviors. Social network analysis helps to understand behavioral patterns within their social networks. This work considers leaders as the managerial personnel of the organization and differentiates managements from non-managerial staff by their behavior with five different types of interactions with PageRank and their attributes in modern organizations. PageRank and word embedding using word2vec with phrases from features are adopted to extract new features for the identification of managerial staff. Both traditional machine learning methods and graph neural networks are utilized with real-world data from an Austrian IT company called Knapp System Integration. Our experimental results show that the proposed new features extracted using PageRank with different types of interactions and word2vec with phrases significantly improve the identification accuracy. We also propose to use graph neural networks as an effective learning algorithm to identify managers from organizations. Our approach can identify managerial staff with an accuracy of around 80%, which demonstrates that managers could be identified through social network analysis. By analyzing the behaviors of members, the proposed method is effective as a performance appraisal tool for organizations. The study facilitates sustainable management by helping organizations to retain managerial talents or to invite potential talents to join the management team.

PageRank

Word2vec

Identification

Social Network Analysis

Organizational identification

10.3390/app11156985

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UN ALGORITMO GENÉTICO HÍBRIDO Y UN ENFRIAMIENTO SIMULADO PARA SOLUCIONAR EL PROBLEMA DE PROGRAMACIÓN DE PEDIDOS JOB SHOP

Revista EIA (2010)

José D. Meisel Liliana Katherine Prado

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A system dynamics model of the nutritional stages of the Colombian population

Kybernetes (2016)

José D. Meisel Olga L. Sarmiento Camilo Olaya J. A. Valdivia Roberto Zarama

Purpose – Overweight, obesity, and physical inactivity have in recent years become an important public health problem worldwide. Investigations that study obesity using a systemic approach in low- and middle-income countries (LMICs) are limited. Therefore, the purpose of this paper is to study the nutritional stages dynamics within the Colombian urban population. Design/methodology/approach – The authors used a population-level systems dynamics (SD) model that captures the transitions of population by body mass index (BMI) categories. The authors proposed a heuristic to estimate the transference rates (TRs) between BMI categories using data from the Colombian Demographic and Health Survey 2005 and 2010. Findings – The Colombian urban population is moving to overweight and obese categories. The TRs from not overweight to overweight and from overweight to obese (0.0076 and 0.0054, respectively) are higher than the TRs from obese to overweight and from overweight to not-overweight (1.025×10e−7 and 3.47×10e−7, respectively). The simulation results show that the prevalences of overweight and obesity will increase by 6.2 and 7.5 percent by 2015, and by 13.4 and 18.9 percent by 2030, respectively. Originality/value – Investigations that study obesity using a systemic approach in LMICs are limited. A SD model was proposed to examine changes in the population’s nutritional stages using population accumulation structures by BMI categories. The authors propose a heuristic to estimate the TRs of individuals between BMI categories. The proposed model can be used to study the effects of policy interventions to prevent overweight and obesity. The authors analyze a few policy intervention strategies.

10.1108/k-01-2015-0010

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A HYBRID GENETIC ALGORITHM AND A SIMULATED ANNEALING FOR SOLVING THE JOB SHOP SCHEDULING PROBLEM

Revista EIA (2010)

José D. Meisel Liliana Katherine Prado

Job Shop Scheduling Problem (JSP), classified as NP-Hard, has been a challenge for the scientific community because achieving an optimal solution to this problem is complicated as it grows in number of machines and jobs. Numerous techniques, including metaheuristics, have been used for its solution; however, the efficiency of * Ingeniero Industrial, Universidad de Ibague; Magister en Ingenieria Industrial, Universidad de los Andes. Docente e Investigador, Grupo de Investigacion GINNOVA, Universidad de Ibague. Ibague, Colombia. Jose.meisel@unibague.edu.co ** Ingeniera Industrial, Universidad de Ibague. Ibague, Colombia. liloprado@hotmail.com

Job shop

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TransMilenio, a Scalable Bus Rapid Transit System for Promoting Physical Activity

Journal of Urban Health (2016)

Pablo Lemoine Olga L. Sarmiento José D. Pinzón José D. Meisel Felipe Montes

Sedentary Behavior

10.1007/s11524-015-0019-4

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Citations (29)

Characterization of the Key Actors Involved in Humanitarian Supply Chains at the Local Level From a Theoretical and Academic Perspective

Advances in logistics, operations, and management science book series (2019)

Juan Camilo López-Vargas Diana María Cárdenas-Aguirre José D. Meisel

The incremental trends in the amount of human and material losses, added to a higher frequency of natural disasters, have generated greater interest from different sectors regarding the processes of disaster management. In this sense, it is recognized that the context of disasters is strongly marked by the high diversity and quantity of actors which seek common or conflicting objectives. The aim of this chapter is to present the actors involved in the humanitarian supply chains (HSC) and to highlight the importance of key local actors involved in disaster preparedness and response, the latter from an inter-sectoral perspective towards the importance implied by the coordination of the key actors in terms of the humanitarian purposes. The discussion developed allows for the inference about the critical role of local actors in disaster management and HSC, as well as several topics for the theoretical development of humanitarian logistics, such as the application of decision tools and information technologies, and the use of sustainability approach for disaster management.

Preparedness

Humanitarian Aid

Humanitarian Logistics

Disaster Response

10.4018/978-1-5225-8160-4.ch011

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Postoperatieve belasting en sportief vermogen na een endoprothetische heupvervanging Behandelingsconcepten in Duitse revalidatieklinieken

Stimulus (1998)

J. Jerosch José D. Meisel

10.1007/bf03062578

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