Household Mobility Survey for the Integrated Mass Transit System in the Metropolitan Area of La Paz and El Alto: 2015
Metadata & use
| Identifier | https://doi.org/10.60966/g0s0xd7b |
|---|---|
| License | Creative Commons Attribution 4.0 International |
| Related Knowledge Product | |
| Citation |
Suárez-Alemán, Ancor, et al. (2023). Household Mobility Survey for the Integrated Mass Transit System in the Metropolitan Area of La Paz and El Alto: 2015. IDB Open Data. https://doi.org/10.60966/g0s0xd7b |
| Published date | 2023-03-24 |
| Modified date | 2026-07-15 |
| Tags/Keywords | Urban Mobility · Urban Transport |
| Language |
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| Temporal coverage | 2015-2015 |
| Country |
Bolivia
|
| Region | Latin America and the Caribbean |
| Publisher |
Inter-American Development Bank
|
| Author |
Suárez-Alemán, Ancor
Serebrisky, Tomás
Inter-American Development Bank
|
| Data collection type | Survey Data |
| Statistical type | Cross-sectional Data |
| Data structure | Structured Data |
| Data notes |
What is this dataset?This is the Household Mobility Survey conducted for the integrated mass transit system in La Paz and El Alto, Bolivia. It captures information on residents’ travel behavior and socioeconomic characteristics in mid-2015. What is the geographic and population coverage?The survey covers the metropolitan areas of La Paz and El Alto. How was sampling and timing done?Sampling was conducted at the sub-district (block) level using random selection to ensure coverage across all city districts. Interviews took place between 6 p.m. and 9 p.m. on weekdays and weekends. Respondents were asked about their last two trips before the interview. What variables or indicators are included?The dataset includes:
- Socioeconomic and demographic information at individual and household levels What is the temporal nature of the survey?This is a cross-sectional survey collected in 2015 (June–July). It does not have a longitudinal (panel) component. What is the license and how should the dataset be cited?The dataset is licensed under Creative Commons Attribution 4.0 International. What limitations or caveats should users keep in mind?
What types of research and applications does this dataset support?This dataset helps analyze urban travel patterns, transport demand, and mode choice behavior, and informs public transit planning in Bolivian cities. What is a household travel survey, and how does it work?It is a structured survey where households report their daily trips, including origins, destinations, travel modes, times, and costs. The La Paz–El Alto survey collected data from 6,208 households, covering 6,720 residents, using household-based questionnaires and travel diaries. What is the purpose of household mobility surveys in urban transportation planning?They provide evidence on how residents move through the city, enabling planners to design integrated transit systems. In La Paz and El Alto, the survey informed the development of the SITM (Sistema Integrado de Transporte Masivo), including Mi Teleférico and PumaKatari buses. What are the key differences between the household mobility survey and traffic volume counts?Traffic counts measure vehicles on roads. Household surveys measure people's trips, including walking, biking, and transit. The La Paz–El Alto survey captured multimodal trip chains, not just vehicle flows. How is household mobility data used to improve public transit?Findings guided integration of cable cars and buses, highlighting trip chains, transfer points, and demand for feeder services. The results supported the expansion of the Mi Teleférico and PumaKatari routes. What are the sample size requirements for statistically significant regional mobility surveys?The La Paz–El Alto survey interviewed 6,720 individuals. Stratified sampling ensured representativeness across districts and socioeconomic groups. What is the household mobility study definition for transportation engineering?It is a survey capturing household-level trip generation, mode choice, and travel behavior. The La Paz–El Alto survey is a case study of such an instrument. What is the primary purpose of a household mobility survey in urban planning?To measure how households travel daily, enabling planners to design efficient, equitable, and integrated transport systems. What are the key components and data points collected in a standard household travel survey?
What is the role of household mobility data in predicting future public transit demand?By analyzing trip chains and mode shares, planners can forecast demand for new routes and integration points. In La Paz–El Alto, data supported SITM expansion. How do researchers account for non-response bias in mobility survey sampling?The La Paz–El Alto survey used stratified random sampling and quotas to reduce bias. Non-response adjustments were applied during weighting. Why are statistical weighting methods used to calibrate household travel survey results with census data?Weights were applied to align household samples with census distributions of La Paz and El Alto. How can a municipal city planner use mobility survey results to optimize bike lane placement?By analyzing reported walking and biking trips, planners can identify corridors with high non-motorized demand. The dataset includes trip modes and distances. How is 'latent demand' for transit captured in surveys where current service is non-existent?Respondents can report unmet needs or reliance on informal modes. In La Paz–El Alto, questions captured perceptions of service gaps. What are the best practices for designing survey questions to capture multi-modal trip chains?The La Paz–El Alto survey asked respondents to detail each stage of trips, including transfers between teleférico, buses, and walking. What is the impact of household size and composition on daily trip generation rates?The dataset includes household composition variables, enabling analysis of how family size affects trip frequency. What are the common pitfalls in self-reported travel time data in mobility surveys?Respondents may under- or overestimate times. The dataset mitigated this by interviewer probing and structured trip diaries. What are the methods for measuring 'equity' and 'accessibility' using household mobility survey data?The dataset allows disaggregation by income, education, and disability status, supporting equity analysis. |