[ Research Article ]
Asian Journal of Atmospheric Environment - Vol. 14, No. 3, pp.210-224
ISSN: 1976-6912 (Print) 2287-1160 (Online)
Print publication date 30 Sep 2020
Received 12 Apr 2020 Revised 03 Jun 2020 Accepted 11 Jun 2020

# Personal Exposure to PM2.5 in the Massive Transport System of Bogotá and Medellín, Colombia

Maria Paula Castillo-Camacho1) ; Isabel Cristina Tunarrosa-Grisales1) ; Lina María Chacón-Rivera1) ; Marco Andrés Guevara-Luna2), 3), 4) ; Luis Carlos Belalcázar-Cerón2), *
1)Environmental Engineering Program, Sergio Arboleda University, Bogotá, Colombia
2)Universidad Nacional de Colombia, Departamento de Ingeniería Química y Ambiental, Bogotá, Colombia
3)Smart and Simple Engineering, Research Department, Bogotá, Colombia
4)Conservación, Bioprospección y Desarrollo Sostenible (COBIDES), Universidad Nacional Abierta y a Distancia, Escuela de Ciencias Agrícolas, Pecuarias y del Medio Ambiente (ECAPMA), Bogotá-Colombia

Correspondence to: * Tel: +(57-1) 3 16 50 00; Ext. 14094 E-mail: lcbelalcazarc@unal.edu.co

Copyright Ⓒ 2020 by Asian Journal of Atmospheric Environment
This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

## Abstract

Recent studies have shown that public transport users can be exposed to high levels of pollution emitted from their own vehicles and nearby sources. The purpose of this research is to determine the personal exposure of passengers to PM2.5 inside the vehicles of the massive public transport of two of the main and more populated cities of Colombia, Bogotá and Medellín. TM (TransMilenio powered by diesel) and SITVA (electric and gas natural vehicles) were the systems studied. Were evaluated the integration of new vehicles with technologies Euro V and Euro VI in the TM system, the impact of the weekend effect on personal exposure into public transport (TM and SITVA), and the possible differences between personal exposure regarding the ways of the systems (mixed lane or exclusive lane for TM and SITVA). To measure PM2.5 levels, a DustTrak monitor previously calibrated was used. This measurement campaigns lasted for more than 80 hours and a mean of 17000 data of PM2.5 concentrations were obtained for each route. The personal dose was calculated based on the recorded data. The mean PM2.5 concentrations and personal dose found in the research for TM are 167 μg/m³ and 2.3 μg/min, respectively, while, for SITVA they are 41 μg/m³ and 0.53 μg/min, respectively. Therefore, SITVA users have a 5 times lower personal exposure to PM2.5 than TM users. It was also found that due to the poor proportion of new TM vehicles during the monitoring period, the personal exposure in the old vehicles and in the new ones is similar. In the case of SITVA, it was evidenced that the mixed lane contributes to a high personal exposure to PM2.5 than the exclusive one.

## Keywords:

Particulate matter, Personal exposure, Air quality, Public transport systems, Self-contamination

## 1. INTRODUCTION

Air pollution is one of the biggest environmental problems worldwide today. Poor air quality causes about 4.2 million premature deaths annually, and 91% occur in developing countries (WHO, 2018). The main cause of these deaths is attributed to personal exposure to Particulate Matter of 2.5 microns or less (PM2.5). The WHO (2005) warns that by inhaling this type of particles constantly, the risk of lung, cardiovascular and ischemic diseases increases. Based on evidence of the effects on health of the exposure to PM2.5, the WHO has established a maximum safe level of exposure of 25 μg/m³ PM2.5 for an average of 24 hours and 10 μg/m³ PM2.5 for annual average.

Personal exposure is defined as the event in which a person comes into contact with an air pollutant. In other words, it can be understood as the measurement by a monitor of a pollutant of interest near a person’s breathing zone (Steinle et al., 2011). Studies worldwide have reported that one of the most important air pollutants to which citizens are exposed is PM2.5, from which 30% is attributed in urban centers to be emitted by different means of transport fueled with fossil fuels (Krzyzanowski et al., 2005). For this reason, it is relevant to evaluate the impact of the means of transport regarding personal exposure to pollutants. Additionally, some studies have determined various factors that condition this exposure. These factors can correspond to external variables of the city, such as road structure, traffic density, time of day and weather, or to internal conditions, such as the characteristics of the vehicle in terms of fuel type, technology, emission standards and ventilation system (Nazelle et al., 2017).

Li et al. (2015) evaluated the personal exposure to PM2.5 and Black Carbon in different transport scenarios in Shanghai. They found that diesel vehicles are significant sources of polluting emissions and that the doses inhaled on these buses are higher compared to other means of transport. A study in Santiago de Chile by Suárez et al. (2014) found that the average concentration of PM2.5 (17.5 μg/m³) is higher in diesel buses than in other means of transport evaluated, generating an exposure 8 times higher than in private cars and 0.4 times more than in bicycle. Similarly, in Barcelona, Moreno et al. (2015) compared personal exposure to PM2.5 in various means of transport and found that the concentrations of PM2.5 in diesel buses are 56% higher than in the tram, which had the least exposure.

On the one hand, in Bogotá, exposure to PM2.5 has been researched in the mass transit system TM (Trans-Milenio), which is one of the largest public transport systems with rapid transit buses (BRT) in the world and whose buses use diesel fuel with technologies Euro II, III and IV. Morales et al. (2017) determined that the exposure and inhalation dose of fine particles of PM2.5 is higher within the TM system, compared to other means of transport that include active modes such as cycling and walking. Additionally, Morales et al. (2019) found that in TM the dose of PM2.5 exceeds 1.2 times the one suggested by the WHO, and Euro II and III vehicles had twice the exposure of this pollutant than in the stricter Euro IV or higher standards.

The high exposure levels to PM2.5 are associated with self-contamination processes. According to Guevara (2018), this phenomenon represents an average of 20% and a maximum of 70% of the presence of PM2.5 inside the BRT for TM vehicles, while the remaining percentage corresponds to emissions from other nearby sources. The TM system has decided to gradually integrate buses with Euro V and VI standards (Transmilenio, 2019) that are expected to reduce emissions of these particles and improve exposure conditions and doses of PM2.5 in the system.

On the other hand, Medellín has the integrated public transport system for the Aburrá Valley (SITVA), which is constituted by Metro, Tram and Metrocable, which use electricity as an energy source, while BRT buses of this system run with compressed natural gas (CNG). Since Medellin has an integrated low emission system, low levels of personal exposure to PM2.5 are expected. However, there are still no studies that evaluate the exposure and potential dose for passengers of these means of transport, nor previous researches comparing this system with the TM system of Bogotá or with other means of mass public transport.

The objective of this study is to determine the levels of personal exposure to PM2.5 by users of the Bogotá and Medellín mass transit systems and identify the segments where there is greater exposure to PM2.5 in these systems. Some specific scenarios are also evaluated, such as the introduction of Euro V vehicles in the TM fleet, the impact of the mixed lane on the path of the BRT Line 2 of the SITVA and the implications of the weekend effect on some routes of both systems.

## 2. METHODOLOGY

### 2. 1 Massive Transport System of Bogotá and Medellín

TM is the massive transport system of Bogotá that started operations in the city in the 2000, with only 14 BRT vehicles in its first three trunk lines, AutoNorte, Calle 80, and Avenida Caracas, that comprised the Phase I. Between 2001 and 2003, other four trunk lines that comprised Phase II were built: Américas, NQS, AutoSur, and Avenida Suba. Finally, Phase III was delivered in 2012, which is constituted by Calle 26, Carrera 10, and Calle 6. Nowadays, the system has a length of 114.4 km, 12 trunk lines, 9 portals, and 139 stations (TansMilenio, 2018b). For this research, six trunk lines were considered, as described in Table 1.

Description of the trunk lines of TM evaluated on the research, Alcaldía Mayor de Bogotá (2016) and TM (2018).

In Medellín, the SITVA was created with the purpose of being a strategic transport system with different modes adapted to the morphologic conditions of the city. This transport modes are Metro, Metrocable, Tranvía, and BRT. The description of this system is shown in Table 2.

Description of the SITVA. Information taken from AMVA (2019).

### 2. 2 Monitoring

Near 80 hours of PM2.5 measurement and monitoring campaigns were performed into the massive transport vehicles of TM and SITVA. In Bogotá, the campaign was done in the trunk lines Calle 80, Caracas, AutoNorte, NQS, Calle 26, and AutoSur. In Medellín, the campaign was in the whole multimodal SITVA system.

PM2.5 concentrations were measured with two aerosol monitors DustTrack (DRX 8533EP and 8530EP), which were calibrated previously to ensure a correct operation and accurate results. The 2.5 microns filter was chosen, as it is the size of the particulate matter for the research. The monitors were put at chest height with the purpose of obtaining a similar catching to the input air in the breathing process. It was set in a sampling interval between 1 and 15 seconds. Monitoring was done in high and low user flow schedules to ensure a suitable rendering. The geolocation was also recorded during the journeys by the app MyCarTracks, with an accuracy of 10 meters and time intervals of 10 seconds. Additionally, a field record was kept to identify the monitor work into the vehicles or out of them, the start and end time of journeys and relevant punctual events that could have an impact on the PM2.5 concentration.

DustTrak measures the particulate matter concentration by 1 hz photometry process, it has a wavelength of 780 nm, taking samples continuously. Measurement is done by an impact with a chosen particle size of 2.5 microns in this case. Then, these particles pass through the monitor by the action of a suction pump (TSI Incorporated, 2012).

The details of the monitoring campaigns in Bogotá and Medellín are shown at Tables 3 and 4.

Monitoring campaign in TM, Bogotá.

Monitoring campaign in SITVA, Medellín.

In Bogotá, the monitoring campaign was developed measuring PM2.5 concentrations into different vehicles of the system that were chosen randomly in each of the trunk lines. Measurements were done at the middle and back corners of the buses. The monitoring lasted for four weeks, two days for each trunk line and with an average of four hours per day, in schedules between 9 to 13 and 14 to 19 hours, getting close to 88000 data points for personal exposure to TM. The measurements were performed in two different periods: the first one from May to June of 2018, which is a rainy season, and the second one from April to May of 2019, which is a rainy season too, according to the Instituto Colombiano de Hidro logía, Meteorología y Estudios Ambientales (IDEAM). During the journeys, the license plate and serial of each monitored vehicle were registered, identifying the journeys with start and end hour, and the relevant events that happened in the way.

It is important to highlight the vehicles technologies of TM where the personal exposure was evaluated, considering that is a system with diesel ACPM Euro II and Euro III as power source in Phases I and II (Departamento Nacional de Planeación, 2008). For Phase III, the diesel used is technology Euro IV. The vehicles monitored were 39 in total, from which 30 of them have Euro II, III and IV technology and the remaining 9 have Euro V technology.

In Medellín, the monitoring campaign was done for 10 days, completing about 30 monitoring hours, the measurement was made taking random positions into the vehicles. The schedule also took into account high and low users flows, between 9 to 18 hours, with an average length of 6 daily hours, getting near to 77000 data points. The first monitoring season was on January of 2019, in dry season, and the second season was on April 2019, in rainy season according to the IDEAM, 2019.

The measuring campaign was developed during the time periods detailed in Table 3 and Table 4 because of the availability of the equipment and logistics, the measurements were performed during dry days. It will be interesting for future research to develop measurements in days different seasons. Even so, the results obtained in this research were developed in dry days.

During the journeys, the vehicles identification was registered as well as the start and end time, journeys description and relevant events that happened in the journeys. According to this the data of the trips were recorded and can be summarized as: average percentage of occupancy inside the vehicles (60% in TM and 50% in SITVA), average ventilation in terms of window opening level (90% in TM and SITVA) with the exception of the hybrid-hermetic buses of SITVA (0%).

### 2. 3 Specific Scenarios

Some of the collected data during the monitoring campaigns were used to evaluate three particular scenarios of interest for this study, such as the weekend effect, the impact of the BRT bus fleet renewal in Bogotá, and the impact of the exclusive lane in contrast to a mixed lane found in the BRT system in Medellín. To evaluate the weekend effect, weekdays and Saturdays were monitored on the same BRT route. In Bogotá, this evaluation was done on the Troncal Caracas and in Medellín on the tramcar.

In Bogotá, the gradual renovation of the TM BRT bus fleet is under way. The renovation consists in the replacement of the Euro II, Euro III, and Euro IV technology buses, with Euro V and Euro VI technologies buses. To evaluate the impact of this renovation, monitoring was carried out on the AutoNorte, NQS, AutoSur, on Euro IV technology buses and on some of the first Euro V new buses implemented in the system.

The line 2 BRT buses of Medellín circulate through an exclusive lane in a 7 km section, while in this same line, buses must share the road with other vehicles such as cars, trucks, motorcycles, among others, in a section of 5.5 km. To assess the impact that the type of lane has on personal exposure within buses, location data was used to separate the data recorded in the exclusive and mixed lane sections. In all scenarios, the evaluation is performed by comparing the concentrations recorded in each case.

### 2. 4 Data Analysis

With the monitoring campaigns, a database consisting in the concentration of PM2.5 and location was created for each evaluated path. Data analysis was developed using different computational tools. Through the Rstudio® interface, a statistical and graphic analysis was done applying position measurements for ungrouped data of all the concentration obtained in each of the monitoring sessions.

With the ArcGIS® program, the geospatial analysis of the personal exposure was carried out, in which the PM2.5 concentration database and location database was loaded and visualized for each route of the different transports. Based on a base map of the cities of Bogotá and Medellín, concentration mapping was established in a scale system consisting of four chromatographic divisions. This classification was based on the trend of concentration levels obtained during the monitoring, starting with the suggested level by the WHO from 0-25 μg/m³ PM2.5. In this way, the critical points of exposure to PM2.5 are determined geographically.

The calculation of the average doses of PM2.5 was developed for each path studied, implementing the formula of the potential inhaled dose (equation 1) proposed by Morales et al. (2017). This formula represents the potential dose of an inhaled contaminant by a person during a trip, from the starting point to the end point of the journey, integrating to the formula the exposure concentration, the inhalation rate associated with the type of transport and the duration of exposure.

 $\mathrm{D}={\mathrm{C}}_{\mathrm{P}\mathrm{M}2.5}×\mathrm{I}\mathrm{R}×∆\mathrm{t}$ (1)

where D is the potential dose of PM2.5 inhaled by a person (in units of mass), CPM2.5 is the average concentration of PM2.5 obtained (units of mass over volume), IR is equal to 1.30×10-2 m3/min, which refers to the average inhalation rate for public transport users, considering a light level of activity, according to Morales (Morales et al., 2017) and based on standards defined by the Environmental Protection Agency (EPA). Finally, Δt is the duration of the exposure in minutes.

Additionally, to facilitate the performance of a standard analysis, the normalization of the calculation in relation to the unit of time is proposed, through the implementation of equation 2.

 ${\mathrm{D}}_{\mathrm{t}}=\mathrm{D}/∆\mathrm{t}$ (2)

Where Dt is the potential dose per unit of time, D is the formula for potential dose and Δt is the duration of exposure in minutes.

## 3. RESULTS AND DISCUSSION

### 3. 1 Concentrations of Exposure to PM2.5 in TM and SITVA

The data obtained from PM2.5 measurements into TM buses that were 80% Euro II and III technologies show a data distribution with large concentration differences in the trunk lines (Fig. 1). Caracas and Calle 80 had the higher PM2.5 personal exposure, since their exposure is 4 and 3 times, respectively, greater than in Calle 26, which had the lower exposure. The mean concentrations found in the monitoring were 246 μg/m³ (Caracas), 223 μg/m³ (Calle 80), 131 μg/m³ (Autopista Sur), and 69 μg/m³ (Calle 26).

The maximum concentrations shown in Table 5 exceed the limits of the boxplots because these points of data are outliers that can refer to punctual events or zones that present high concentrations of PM2.5 and do not meet the frequency characteristics that were used for the boxplot design.

PM2.5 concentration data in the massive transport systems of Bogotá and Medellín.

The concentrations found into the SITVA are shown in Fig. 1. The transport means with electric power and relative zero emissions such as metro, Metrocable and tramcar had PM2.5 average concentrations of 38 μg/m³, 39 μg/m³, and 28 μg/m³, respectively. These concentrations are lower than the PM2.5 concentrations found into the BRT system, which is powered with GNC and presented 45 μg/m³ PM2.5 to line 1 and 61 μg/m³ PM2.5 to line 2. The lowest personal exposure found in the SITVA was into the tramcar, while the BRT system had 2 times higher exposure than metro and Metrocable, which were exposed 73% more than the tramcar.

PM2.5 measured concentrations in TM and SITVA.

According to this outlines (Table 5), Line 2 of BRT presents a larger record of this data than the others microenvironments analyzed, due to the interaction with mix lanes in its journey, having greater exposure to external sources. Metro, Metrocable and tramcar have better personal exposure because of their controlled ventilation and exclusive lanes.

The statistical analysis of both studied cities show a pattern of the dispersion of pollutants in the vehicles. In Medellín, the values are more uniform and considerably lower than the exposure in TM. PM2.5 average concentration in TM is 167 μg/m³, which is 4.7 times higher than the average concentration in SITVA (41 μg/m³). The SITVA has maximum concentrations of about 500μg/m³, while in TM they are maximum 5000 μg/m³, which is 10 times higher than the SITVA.

Different research around the world in various cities have evaluated the personal exposure to PM2.5 in their transport systems. It has been found that the BRT diesel powered the higher personal exposure system. According to the present research, PM2.5 monitoring campaigns done in Guangzhou (China), Dublin (Ireland), and Jakarta (Indonesia) show similar average concentrations to those found in Bogotá in different studies, such as 167 μg/m³ (Castillo et al., 2019), 164 μg/m³ (Guevara, 2018), and 186 μg/m³ (Morales et al., 2017), which is the first approximate to 150 μg/m³. Similarly, exposure in BRT has also been evaluated in principal cities like Boston (U.S.A.) and Hong Kong (China) and showed average concentrations of about 100 μg/m³, while Florencia (Italia) had 50 μg/m³ close to the 53 μg/m³ PM2.5 found in Medellín (Castillo et al., 2019). However, European cities like Milan (Italia), London (United Kingdom), and Helsinki (Finland), had average concentrations of about the 25 μg/m³ suggested by the WHO (Kumar ., 2018).

Another research that evaluates the PM2.5 concentration in the elevated railway in the cities of Los Angeles (United States), Naples (Italy), and Taipei (Taiwan) presented average concentrations of 14 μg/m³, 13 μg/m³ (Cartení et al., 2015), and 19 μg/m³ (Cheng et al., 2012), respectively. Similarly, the subway system in London (England) had average concentrations of 29 μg/m³ in its elevated route (Cartení et al., 2015), closer to that presented in Medellin (38 μg/m³). These lower concentrations presented in the elevated routes are due to ventilation inside of the vehicles and the external air interaction free of pollution sources (Cartení et al., 2015).

### 3. 2 Spatial Distribution of PM2.5 TM and SITVA Journeys

The PM2.5 concentration data spatially represented for TM (Fig. 2a) demonstrates the high exposure by observing values greater than 100 μg/m³ on the Calle 80 (Portal 80 header) and Caracas (Heroes-Tercer milenio) ways, followed by the AutoSur (Portal South header). Calle 26 (El Dorado-Universidades) maintains concentrations of less than 100 μg/m³ throughout its route, with very little excess of this concentration.

Spatial distribution of PM2.5 in (a) TM and (b) SITVA PM2.5.

One of the main reasons that explain this distribution is the structure of the roads where the TM and SITVA are located. Regarding mainly the transverse amplitude of the roads along the way, the distribution can be observed in Table 6.

One of the characteristics that make a road open is the wide distance between sidewalk and sidewalk, favoring the ventilation process by dispersing the concentration of contaminants (Pachón et al., 2018). For this reason, according to Table 6, it becomes clear that the Caracas and Calle 80 have less amplitude than AutoSur and Calle 26, which additionally have higher density of buildings in quantity and in height. This amplitude factor is considered as one of the main reasons for the high presence of PM2.5 and the high number of critical points in these two trunklines. Additionally, it is possible to emphasize that, besides to the great amplitude of Calle 26, this road presents green corridors almost all along its entire route between the mixed traffic lanes, which contributes to the decrease of PM2.5 present in route.

The critical points shown in Fig. 2a have common characteristics that favor the presence of PM2.5 in the microenvironment of the TM system. These factors refer to the high presence of heavy traffic fueled with diesel and with low emissions control (Ramírez, 2018), the nearby industrial corridors and several strategic points for city mobility, where important high traffic avenues meet.

Different studies have shown that diesel vehicles emit 4 times more PM2.5 than gasoline vehicles (Rojas, 2004). In Bogotá, public buses, TM, and heavy traffic are powered by diesel (Ramírez, 2018). Under these conditions, circulating along the ways of the TM system or nearby generates high exposure to PM2.5. Besides, the number of TM buses with technologies below Euro V is numerous, contributing with high concentrations among the vehicles of the system. This concentrations are about 80% (Guevara, 2018) and the remaining proportion occurs due to self-pollution.

The geospatial characterization of the obtained concentrations for Medellín transport system observed in Fig. 2b evidences different levels of exposure to PM2.5, mostly less than 100 μg/m³. Elevated metro line A carries out routes from La Estrella station to Niquía. This route shows concentrations below 25 μg/m³ in journeys between stations located outside the city center due to the decrease in emissions in these areas. The points of line A with concentrations greater than 100 μg/m³ are found at the Itagüí, Envigado, El Poblado and Niquía stations. The high population density of Itagüí and Envigado have influenced the growth in the demand for services in these municipalities (Alcandía de Medellín, 2016), generating contributions of greater concentration of exposure to PM2.5. The metro line B that runs from San Javier station to San Antonio has concentrations in ranges of 25 μg/m³ and 100 μg/m³, as in line A, which is an effect of the city air quality. In the vicinity of San Javier station, concentrations are below 25 μg/m³ (Fig. 2b).

The San Javier - La Aurora metrocable line (Cable J) is exposed to similar concentrations to those of the Acevedo - Santo Domingo (Cable K), with concentrations below 100 μg/m³ and an average of 39 μg/m³. A critical point is observed in the cable K route due to an increase in the concentration of the Andalucía station, due to the crossing of existing urban traffic roads under this line. The behavior of PM2.5 concentrations in cable lines is similar to the average metro concentrations (Fig. 2b) because these two means (metro and cable) operate almost as isolated systems during movement and have exclusivity in their perimeter of operation.

In contrast, the tramcar has exposures of concentrations lower than 25 μg/m³ in a generalized way along its routes from San Antonio station to Oriente station. The tramway lane is not influenced by near emissions of vehicular traffic since it is mostly surrounded by pedestrian paths, with a controlled ventilation system inside the cars that favors the air quality in the microenvironment.

As shown in Fig. 2b, the BRT systems that operate with gas are in Line 1, from Universidad de Medellín to Parque Aranjuez in an exclusive lane. Line 2 takes part of this route in the exclusive lane of the system and changes to a mixed lane when the bus arrives at the city center. The two bus lines have a general exposure to concentrations below 100 μg/m³ when they are outside the central area of the city. In contrast, when arriving at the center, exposure to PM2.5 can increase up to 300 μg/m³ due to the influence of traffic on the surrounding roads and the industrial and commercial activity of this area. Additionally, the two lines have a more favorable behavior towards the periphery with concentrations less than or equal to those suggested by the WHO standard (2005).

### 3. 3 Potential Inhaled Dose of PM2.5 Exposure

Table 7 shows the average PM2.5 dose and concentration calculated in TM and SITVA. In TM, Caracas trunkline presented the highest dose in all the system (3.7 μg/min), while Calle 26 had the lowest dose with 0.8 μg/min. As discussed in section 3.2, the main reasons for this situation is that Avenida Caracas is characterized by being a narrow track surrounded by buildings with average height ratio of 20 m and width of 35 m. In contrast, the Calle 26 has a track average width of 100 m and green corridors which facilitate the ventilation process and improve the dispersion of pollutants. Additionally, in the Caracas Avenue there are still old TM vehicles circulating with poor technologies, whilst in the Calle 26 there are newer and better BRT technology (Guevara et al., 2020).

Average PM2.5 concentrations and dose in TM and SITVA.

In Medellín SITVA, the highest PM2.5 dose are found in Line 1 and Line 2 BRT system (0.57 and 0.78 μg/min). The electric power systems have lower doses than BRT. The found doses are higher in Metrocable with 0.50 μg/min than metro and tramcar, which have personal exposures of 0.49 μg/min and 0.36 μg/min, respectively.

When comparing the calculated dose in TM system and SITVA, it is found that the TM dose is 4 times higher than the personal exposure in SITVA. When compared with the OMS concentration dose suggested, both systems exceed the average 25 μg/m³ PM2.5 in 24 hours. SITVA is twice that dose and TM is 7 times higher. Applying the dose estimation by time of the OMS regulation, this dose is 0.38 μg/m³, and it is exceeded by all mean transports, except for the tramcar of SITVA.

### 3. 4 Scenario Analysis

3. 4. 1 Weekend Effect Trunkline Caracas

The average concentration found on Friday was 29% higher than the one measured on Saturday. Likewise, the maximum concentration on Friday was twice higher than the one measured on Saturday and the Friday PM2.5 dose is 30% higher than the Saturday dose (Table 8).

Specific scenario statistics.

In Fig. 3, the difference between personal exposure to PM2.5 on Friday and Saturday can be observed. The decrease presented on Saturday is evident, mainly at critical points on Friday that exceeded 300 μg/m³. On Saturday, there are much less values higher than 300 μg/m³, and this can be attributed to a decrease in urban activity and the change of surrounding traffic density.

(a) Boxplot and (b) Spatial representation of the weekend effect in the Caracas trunkline of TM.

3. 4. 2 Weekend Effect in the Tramcar of SITVA

Table 8 presents the measured concentrations on weekdays and saturday, where it is remarkable the decrease of PM2.5 concentrations in doses on Saturday of 23% and 25%. Saturday is considered as an atypical day because of the weekend effect that refers to a decline and change of anthropogenic activities on Saturdays and Sundays, especially in urban zones. PM2.5 concentration is reduced due to the low presence of PM2.5 sources such as private traffic and load diesel vehicles, and to urban activity in the central and perimeter zones between San Antonio and Bicentenario stations (Franco and Parra, 2016). This effect is observed in Fig. 4.

Weekdays and Saturday Tram scenario (a) PM2.5 concentrations (b) Spatial representation of concentrations.

The average and maximum PM2.5 values are higher on weekdays (PM2.5 average: 30 μg/m³) than on Saturday (PM2.5 average: 23 μg/m³). This low concentration can be remarkable because of the exclusive lane of the tramcar that has interaction only with pedestrian paths. In this case, the Saturday concentration is within the OMS limit for PM2.5 exposure.

3. 4. 3 Pilot Test Implementation TM Euro V B

The route chosen to monitor the implementation of a new fleet with Euro V technology in TM was the B-G-12, which runs through the system from the Portal Norte to the Portal Sur. The buses that operate this route are biarticulated, which means they are part of Phase III and until 2018 they were mostly Euro IV technology. In 2019, Euro V buses were implemented as a pilot test to the B-G-12 route. The data found show no significant difference in the exposure to PM2.5 with respect to the other technologies, since the old fleet had an average concentration of 116 μg/m³ and the new fleet of 106 μg/m³ (Fig. 5).

TM Euro V new fleet scenario: (a) PM2.5 concentrations graph and (b) PM2.5 concentrations in the route.

Euro IV technology or lower refers to vehicle fuel emission standards periodically established (generally every 4 or 5 years) by the European Union before 2005. Euro V technology, declared in 2009, was established to reduce emissions of PM2.5 in 5 times, compared with the immediately previous technology. The fleet of old vehicles measured is Euro IV technology. However, Fig. 5 evidences that the distribution of PM2.5 is very similar in both scenarios, presenting almost the same critical areas along the way, where high concentrations are related to self-contamination but in addition to contributions from nearby external emissions.

It is noted that the interior of the buses measured for this analysis represents a microenvironment of prevailing concentrations between 25 μg/m³ and 100 μg/m³ and some exceedances of 300 μg/m³ of PM2.5. When compared with Calle 80 and Caracas trunklines, belonging to Phase I with technology buses below Euro III, this microenvironment demonstrates a less risky scenario. Even so, the average exposure in both Euro IV and Euro V technologies exceeds more than 4 times the WHO standard for 24 hours.

With the implementation of Euro V technology, the system would expect to present a more favorable outlook with lower PM2.5 exposure values, due to the emission standards for this pollutant with this technology. However, as Guevara (2018) stated, almost 80% of the concentration contributions come from nearby sources, thus, although there is a minimal reduction in PM2.5 exposure in the new fleet with respect to the old one, the low proportion of Euro V vehicles operating in this trunkline has no effect of a decrease in exposure, since there is a greater presence of old technology vehicles in this trunkline.

3 .4. 4 Mixed Lane Impact on Line 2 BRT SITVA

The scenario observed when monitoring the BRT bus line 2 shows variations that are evident in the three segments indicated in Fig. 6, where the boxed path indicates the mixed lane. The first trip from the Universidad de Medellín is in the exclusive BRT bus lane and then it is integrated into a mixed lane to cover the demand for transport through the central corridor of the city. The distribution of data in the exclusive lane has concentrations with a much smaller range compared with the data for the mixed lane. The reduction of the average concentration of PM2.5 (Table 8) of the exclusive lane with respect to the mixed one was of 45% and the dose reduction of 46%.

Scenario of PM2.5 concentrations in the mixed and exclusive lanes of BRT Line 2 of SITVA: (a) PM2.5 concentrations and (b) PM2.5 concentrations in the route. The boxed path refers to the mixed lane.

During the first journey in the exclusive lane from the Universidad de Medellín, the exclusive route of the gas BRTs is separated from the transit route of private vehicles and other types of transport mostly fueled by gasoline, which generate a smaller contribution of PM2.5 than vehicles that use diesel. When BRT buses enter to the mixed lane from Barrio Colombia station to Palos Verdes, there is an increase in the average concentration of 80 μg/m³, exceeding the average of the exclusive lane by 36 μg/m³. The reason is that this lane travels through the center of the city along the Oriental Avenue, where (i) higher buildings are located; (ii) there are passenger transport vehicles with a greater contribution of PM2.5 as they operate with diesel; and (iii) traffic increases as it is a highly busy main avenue where vehicles have acceleration and braking periods constantly under a low average speed that favors the emission of high concentrations of PM2.5 (Guevara, 2018).

## 4. CONCLUSIONS

PM2.5 personal exposure was evaluated in the massive public transport system of Bogotá (representative trunk lines of TM) and Medellín (all SITVA). Measuring campaigns were performed by continuous monitoring of PM2.5 concentrations in the chosen journeys, considering the differences between vehicle technologies, infrastructure system and surrounding road structure.

Results show that TM, with diesel powered BRT and most of its vehicles with technologies inferior to EURO IV, has a personal exposure 5 times higher than the SITVA. The main reasons are attributed to the particular structure and characteristics of each system, as the SITVA is an electric powered system and some of its vehicles have GNC motors.

Likewise, the almost isolated microenvironments of SITVA electric vehicles create lower risk environments regarding dose and personal exposure to PM2.5 emissions, also due to the low exchange of air with the external sources. Despite the tramcar system is at ground level, it has the lowest personal exposure because its surrounding areas are pedestrian paths.

TM is characterized for being composed of heavy diesel-powered vehicles. Due to this technology, the system produces high PM2.5 emissions, additionally to its trunkline structure and vehicles with open system. All these factors favors the high personal exposure because of the exchange of polluted air from close emissions sources (mostly the same buses of the TM system) and the self-pollution process. Besides, the semi-closed structure of trunklines such as Caracas and Calle 80, specifically, makes difficult ventilation and dispersion process, hence these trunk lines had the highest personal exposure zones.

Meteorology and the time of year can play an important role in the levels of personal exposure to pollution within vehicles (Nazelle et al., 2017). In times with high levels of urban pollution in cities, higher levels of personal exposure can occur within vehicles. This study did not consider the impact of meteorology or seasonality on the results. For future studies, it is recommended to carry out monitoring at different times of the year to evaluate its impact on the results. Even so, the measurements were developed during dry days.

## Acknowledgments

We acknowledge to the environmental programs of Sergio Arboleda and EAN Bogotá Universities that allowed the development of monitoring campaigns through the DustTrak monitors lending and with their trust on this research. We also acknowledge GICA (Grupo de Investigación de Calidad del Aire) of Universidad Nacional de Colombia for its support in the data analysis and cooperation to achieve the results contained in this article. Special thanks to Fredy Alejandro Guevara Luna MSc. and S&S S.A.S company who participated and collaborated with the project development, and the theoretical and technical support.

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### Fig. 1.

PM2.5 measured concentrations in TM and SITVA.

### Fig. 2.

Spatial distribution of PM2.5 in (a) TM and (b) SITVA PM2.5.

### Fig. 3.

(a) Boxplot and (b) Spatial representation of the weekend effect in the Caracas trunkline of TM.

### Fig. 4.

Weekdays and Saturday Tram scenario (a) PM2.5 concentrations (b) Spatial representation of concentrations.

### Fig. 5.

TM Euro V new fleet scenario: (a) PM2.5 concentrations graph and (b) PM2.5 concentrations in the route.

### Fig. 6.

Scenario of PM2.5 concentrations in the mixed and exclusive lanes of BRT Line 2 of SITVA: (a) PM2.5 concentrations and (b) PM2.5 concentrations in the route. The boxed path refers to the mixed lane.

### Table 1.

Description of the trunk lines of TM evaluated on the research, Alcaldía Mayor de Bogotá (2016) and TM (2018).

Trunk line Power source Length Daily average users Phase Start year
Calle 80 Diesel 10.1 km 40000 I 2000
Caracas (Héroes - Tercer Milenio) Diesel 8.3 km 60000 I 2000
AutoNorte Diesel 11.8 km 95000 I 2000
NQS (NQS+AutoSur) Diesel 22.9 km 60000 II 2001-2003
Calle 26 Diesel 12.2 km 34000 III 2012

### Table 2.

Description of the SITVA. Information taken from AMVA (2019).

Transport mode Power source Length Daily average users Start year
Metro Electric 31.3 km 800000 1995
Metrocable Electric 11.9 km 41000 2004
Tramcar Electric 4.3 km 45000 2016
Metroplús BRT Compressed natural gas (CNG) 26.0 km 125000 2011

### Table 3.

Monitoring campaign in TM, Bogotá.

Trunk line Campaign dates Journey Measuring duration (min) Technology of vehicles
Calle 26 Wednesday 23/05/2018 Universidades station - Portal El Dorado 209 Euro II, III, IV
Thursday 24/05/2018 200
Calle 80 Monday 28/05/2018 Polo station - Portal 80 177 Euro II, III, IV
Wednesday 30/05/2018 183
Caracas Friday 25/05/2018 Héroes station - Tercer Milenio 208 Euro II, III, IV
Saturday 26/05/2018 182
Autopista Sur Tuesday 05/06/2018 Comuneros station - Portal Sur 178 Euro II, III, IV
Thursday 07/06/2018 126
AutoNorte NQS-AutoSur Wednesday 03/04/2019 Portal Norte - Portal Sur 102 Euro IV
Thursday 11/04/2019 99
Friday 03/05/2019 115
Monday 06/05/2019 204
Tuesday 07/05/2019 170
AutoNorte NQS-AutoSur Friday 03/05/2019 Portal Norte - Portal Sur 54 Euro V
Tuesday 07/05/2019 45
Wednesday 08/05/2019 43
Thursday 09/05/2019 216

### Table 4.

Monitoring campaign in SITVA, Medellín.

Mean of transport Monitoring dates Journey Id transport Measuring duration (min)
Metro Wednesday 09/01/2019 La Estrella - Niquía. Línea A. 98
Friday 11/01/2019 La Estrella - Niquía, San Antonio - San Javier. Línea A. Línea B. 90
Monday 14/01/2019 La Estrella - Niquía, San Antonio - San Javier. Línea A. Línea B. 169
Wednesday 16/01/2019 La Estrella - Niquía. Línea A. 155
Thursday 17/01/2019 La Estrella - Niquía, San Antonio - San Javier. Línea A. Línea B. 106
Wednesday 17/04/2019 San Antonio - San Javier. Línea B. 31
Metrocable Saturday 12/01/2019 Oriente - Villa Sierra Cable H 19
Monday 14/01/2019 Oriente. San Javier. Santo Domingo Cable H, Cable J, Cable K 89
Wednesday 16/01/2019 Acevedo - Santo Domingo Cable k 184
Thursday 17/01/2019 Oriente. San Javier. Santo Domingo Cable H, Cable J, Cable K 106
Wednesday 17/04/2019 Oriente - Villa Sierra Cable H 38
Tramcar Saturday 12/01/2019 Oriente - San Antonio TA 55
Monday 14/01/2019 40
Thursday 17/01/2019 78
Wednesday 17/01/2019 20
BRT vehicle L1 Tuesday 15/01/2019 Línea 1 BRT L1 192
Friday 18/01/2019 82
BRT vehicle L2 Thursday 10/01/2019 Línea 2 BRT L2 245
Tuesday 15/01/2019 203
Friday 18/01/2019 122

### Table 5.

PM2.5 concentration data in the massive transport systems of Bogotá and Medellín.

Bogotá Average concentration (μg/m³) Standard deviation Max concentration (μg/m³) Total data Total outline % Outline
Caracas 246 223 3100 18073 1813 10%
Calle 80 223 205 4690 21720 1265 5, 8%
AutoSur 131 127 975 23401 1291 5, 5%
Calle 26 69 53 669 25105 1836 7, 3%
Medellín
Metro 38 11 211 27427 471 2%
Cable 39 11 121 8880 611 7%
Tranvía 28 14 221 10465 684 7%
Línea 1 45 16 448 10603 669 6%
Línea 2 61 28 510 14675 1183 8%

### Table 6.

Road Average transverse amplitude Surrounding lanes of mixed traffic
Caracas 35 meters 2
Calle 80 45 meters 3-4
AutoSur 49 meters 4-5
Calle 26 95-100 meters 5-6

### Table 7.

Average PM2.5 concentrations and dose in TM and SITVA.

Bogotá Average concentration (μg/m³) Average time in system (min) Inhaled dose by journey (μg) Average dose by time (μg/min)
Calle 80 223 20 57.9 2.9
AutoSur 131 20 34.0 1.7
Caracas 246 30 95.9 3.7
Calle 26 69 20 17.9 0.8
MedellÍn
Metro 38 45 22.2 0.49
Metrocable 38.5 30 15.0 0.50
Tramcar 28 20 7.2 0.36
Line 1 44.5 42 24.3 0.57
Line 2 60.6 84 66.2 0.78

### Table 8.

Specific scenario statistics.

Monitoring time (min) Average concentration (μg/m³) Average dose (μg/min) Standard deviation Maximum concentration (μg/m³)
Weekend effect trunk line Caracas Bogotá (1 pm-7 pm)
Friday 208 286 3.7 255 3100
Saturday 182 203 2.6 171 1670
Decrease 29% 30% 46%
Weekend effect Tramcar Medellín (10 am-2 pm, 5 pm-6 pm)
Week 138 30 0.4 9 203
Saturday 55 23 0.3 6 80
Decrease 23% 25% 61%
Pilot test EURO V TM (9:30 am-5 pm)
Old TM (Euro IV) 358 116 1.5 52 508
New TM (Euro V) 690 106 1.4 71 805
Decrease 9% 7% -58%
Fleet renewal TM Initial stage
Old TM
New TM
BRT line 2 Mixed lane (10:30 am-5 pm)
Mixed lane 312 80 1.1 33 396
Exclusive lane 257 44 0.6 12 128
Decrease 45% 46% 209%