Urban Mobility Berlin India (UMBI II)

 Women travel not only for work and education, but also for various essential tasks such as shopping, accessing healthcare facilities, and accompanying family members. Trip chaining, where multiple errands are linked in a single journey, is a common practice among women commuters in the city. Therefore, ensuring that cities and transport systems are perceived as safe and comfortable by women is paramount for promoting gender inclusivity and enhancing overall urban liveability. 
Women in Bengaluru face unique challenges while traveling, including concerns about safety and access to reliable travel information. Navigating the city’s diverse transportation options can be daunting, especially during certain times of the day or in specific locations known for safety issues. This problem is further compounded by the lack of personalized travel advice tailored to individual needs and circumstances, leaving women vulnerable to potential risks and discomfort during their journeys. Sometimes, lack of information related to women help centres such as NGOs working on issues faced by women, Pink Hoysalas of the Bengaluru Police, Public toilets for women/pregnant women/women with infants, etc. lead to women and caregivers not venturing out of homes and traveling with the same comfort that men enjoy.

In this context, the innovation challenge seeks an AI-powered chatbot solution that addresses the specific safety concerns of women, a surveillance and grievance redressal system tailored to address these concerns along with a platform with information on the various women-centric facilities created in the city. There is a critical need for an innovative solution that leverages AI technology to empower women travellers with personalized travel advice and safety tips. This solution should consider factors such as the user’s current location, the time of day, and the mode of transportation they are using, to provide real-time recommendations and guidance. By harnessing AI capabilities, such as natural language processing and machine learning algorithms, this chatbot should be able to analyse data from various sources, including traffic updates, crime statistics, and user preferences, to offer customized travel suggestions that prioritize safety and convenience.

The envisioned AI-powered chatbot will not only enhance the overall travel experience for women in Bengaluru but also contribute to building a safer and more inclusive urban mobility ecosystem. By providing accurate and timely information, empowering users to make informed decisions, and fostering a sense of security during their travels, this innovation has the potential to significantly impact women’s mobility and well-being in the city.

What Does the Winning Company Get?

An opportunity to conduct a pilot implementation of the tool in Bengaluru for the Directorate of Urban Land Transport, Government of Karnataka, and in collaboration with the Green Urban Mobility Innovation Living Lab – a joint initiative of GIZ and Bosch Limited.

STARTING POINT: In India, there is still a gender gap in the use of public transport and other sustainable mobility schemes, with women often facing accessibility and safety concerns that deter them from using these services. The lack of safe and reliable public transport options often limits women’s access to education, employment, and other opportunities. To address these challenges, various promising digitally supported initiatives and apps have been launched, e.g., the program “She Rises”, “Women on Wheels” program to provide safe and reliable transport options from women for women, or apps such as “SafetiPin” or “Suraksha” to report and rate the safety of different areas and safe route information. 

PROBLEM PART (1): these approaches are rather problem specific and weakly promoted among female public transport users, further design and features are limited. Among others, this results in lack of scale and community network, lack of mode integration, lack of user engagement, interaction, and information as well as lack of multi-layered user analysis. Consequently, the true potential of such initiatives stays untapped, particularly when related to data-based decision and policymaking. 

In Bangalore, India’s fast-growing technology-hub with around 13 million inhabitants in 2024, the public transport system has seen a significant increase in ridership over the past few years, including women, with now have a share of approximately of 46%. 

PROBLEM PART (2): Even with increased female ridership there is still a lack of greater knowledge and understanding of the travel behaviour of women and implications on sustainable mobility planning and management are rather unclear. Considering the ever-growing public transport network in Bengaluru in and beyond its urban perimeters, there is still a long way to go in ensuring data-based equitable access to sustainable mobility for all women but also for other vulnerable groups.

Ground laying steps have already been taken, setting the right framework for action: (i) To derive comprehensive insights on the travel challenges faced by women in the city of Bengaluru across all transport modes, and to enhance existing policies by incorporating data-driven gender-inclusive interventions, DULT has set up a project on institutionalizing Gender SMART and Gender Astute Mobility. (ii) In addition, in context of the Bengaluru Suburban Rail Project (BSRP) co-financed by KfW the existing comprehensive mobility plan as well as the Sustainability Impact Assessment & Gender Action Plan serve as valid sources of information on gender in mobility status quo in Bangalore.

OUTPUT AND OBJECTIVE

Overall, the aim of this challenge is to develop a community-based CONCEPT to help solve the problems stated above:

• increasing community engagement
• understanding female ridership
• promoting female ridership

OUTCOME FOR THE WINNER

The winning concept provides the initial framework and direction for the development process. Depending on the final evaluation of the jury DULT, KfW, GIZ and public urban transport representatives, as well as the availability of funds, the winning concept may qualify for the conducting of a pilot in the scope of the BSRP. 

SCOPE OF THE CONCEPT

• Gender-inclusion: While women and girls are the key focus group of the app, the concept shall incorporate users from all genders.
• Your ideas: Challenge participants are warmly invited to share their ideas and suggestions for additional measures!

DATA COLLECTION AND DATA ANALYSIS

Data collection: Gathering relevant data is crucial. We need both quantitative and qualitative data from various sources.

Key data points include:

1. Demographic Data: 
   • Age, income, occupation, education level, and marital status of women passengers.
   • Geographic distribution (urban vs. rural).
2. Public Transport Usage Data: 
   • Frequency of public transport usage by women.
   • Preferred modes of transport (buses, trains, metro, etc.).
   • Peak travel times for women.
   • Routes frequently used by women.
3. Safety and Security Data: 
   • Incidents of harassment or crimes reported on public transport.
   • Perceived safety of different modes and times.
   • Availability and use of women-only compartments or seats.
4. Accessibility Data: 
   • Proximity of transport stops to residential areas.
   • Infrastructure supporting accessibility (ramps, lighting, etc.).
5. Cost and Affordability Data: 
   • Cost of different transport modes.
   • Women’s income and how it affects transport affordability.
6. Satisfaction and Feedback Data: 
   • Surveys and feedback on service quality, punctuality, cleanliness, and safety.
   • Suggestions and complaints from women passengers.

Data analysis: Once the data is collected, analyse it to understand the current trends and challenges faced by women. Key analytical steps include:

1. Descriptive Statistics: 
   • Summarize the data to find means, medians, modes, variances, and standard deviations.
   • Create visualizations (charts, graphs, heat maps) to identify patterns and trends.
2. Correlation Analysis: 
   • Identify correlations between different factors (e.g., income level and transport mode choice, time of day and perceived safety).
3. Geospatial Analysis: 
   • Use GIS tools to map the spatial distribution of public transport usage and safety incidents.
   • Identify hotspots for interventions.
4. Sentiment Analysis: 
   • Analyse textual feedback from surveys and social media to gauge public sentiment about public transport services.

Data collection, Data analysis and primitive model building will be in scope of the UMBI II project. As a result of the UMBI II project, we can have innovators presenting insights to the jury. For further recommendations and policy suggestions plus building a product like an app, will not be feasible during the tenure of the UMBI II project. To do so, we will have to expand the scope of the project next year together with KfW and together we can target such a problem with an intended solution.

LEVERAGE YOUR CONCEPT

The concept will lay the groundwork for development of a pilot, setting the stage for the successful empowerment of women and vulnerable groups in public transport in Bangalore while maximizing the use of the app and effective data collection. However, we encourage to incorporate the following aspects:

• Problem Understanding, Narrative and Storytelling: As part of your concept, present your understanding of the problems, of user needs, of challenges and alike. Develop a compelling pitch and narrative for the concept to attract potential users, collaborators, stakeholders, funders.
• Holistic ecosystem: Identify key elements and non-technical strategies that can encourage widespread adoption and user engagement as part of your concept.
• Joint creative effort: The challenge brings together experts from diverse disciplines. Use them as a resource to enrich your ideas and as sparring partners for joint creative effort and ideation. 

Background: As the automotive and IoT industries evolve, integrating these technologies presents an opportunity to significantly enhance safety, convenience, and overall quality of life. For women, in particular, this integration can offer increased security, peace of mind, and seamless connectivity between their home and vehicle. However, the challenge lies in identifying the right startups that can provide effective, reliable, and innovative solutions for IoT integration in cars, tailored to the specific needs and concerns of women.

Problem Statement: The primary challenge is to identify and evaluate innovators that develop smart IoT integration technologies for cars, with a focus on enhancing safety, convenience, and user experience for women. These innovators should offer solutions that address key issues such as real-time home monitoring from the car, automated safety responses, seamless connectivity, and personalized user experiences. The evaluation process must consider factors such as technological innovation, reliability, ease of use, security, scalability, and the startup’s ability to understand and cater to the specific needs of women.

The following areas are where we welcome ideas:

Real-Time Tracking and Emergency Assistance

• GPS Tracking: IoT-enabled cars can have real-time GPS tracking systems that allow family members or designated contacts to monitor the vehicle’s location. This can be crucial in case of emergencies or if the driver feels unsafe.
• Panic Button: A dedicated panic button connected to a central monitoring system can alert emergency services and send the car’s location to pre-defined contacts immediately.
• Voice-Activated Assistance: Voice commands can be used to activate emergency protocols, contact emergency services, or notify trusted contacts without having to fumble with a phone or controls.

Enhanced Communication Systems

• In-Car Communication: Integration with smartphones and smart devices can allow for hands-free calls and messages, enabling continuous communication without distraction.
• Emergency Messaging: Automated messaging systems can be triggered by specific events, such as sudden stops or panic button activation, sending pre-written messages to emergency contacts.

Smart Surveillance

• In-Car Cameras: IoT-enabled cameras inside the car can monitor the vehicle’s interior and record footage. This can be useful for both live monitoring and reviewing incidents.
• Exterior Cameras and Sensors: Cameras and sensors around the vehicle can detect unusual activities or approach from strangers, triggering alarms or notifications.

Predictive Maintenance and Security Alerts

• Vehicle Diagnostics: IoT can monitor the car’s health and predict maintenance needs, reducing the likelihood of breakdowns in unsafe locations.
• Security Alerts: Systems can detect attempts at unauthorized entry or tampering, alerting the owner and authorities immediately.

Smart Route Planning and Navigation

• Safe Route Suggestions: IoT systems can suggest safer routes based on real-time data, avoiding areas with higher crime rates or poor lighting.
• Geo-Fencing: Setting up virtual boundaries can alert the driver if they enter high-risk areas, providing an extra layer of situational awareness.

Wearable Integration

• Smart Wearables: Integration with wearables like smartwatches can offer additional safety features, such as remote vehicle control, health monitoring, and emergency alerts.

Community and Support Networks

• Connected Community: IoT can link to community safety networks, enabling a cooperative approach to safety where neighbours and local businesses can provide mutual assistance.
• Support Services Integration: Direct integration with support services for women, including hotlines and local authorities, ensures that help is readily available when needed.

Implementation Considerations

• Privacy and Security: Ensuring data privacy and robust security measures to protect against hacking and unauthorized access.
• User-Friendly Interfaces: Developing intuitive and easy-to-use interfaces so that all users, regardless of technical proficiency, can benefit from these features.
• Affordable Solutions: Making sure that these advanced safety features are accessible and affordable to a wide range of users.