Centre for Internet and Society

Anushree Gupta - Ladies ‘Log’: Women’s Safety and Risk Transfer in Ridehailing

Anushree Gupta — 2020-05-19T06:29:12Z

Working in the gig-economy has been associated with economic vulnerabilities. However, there are also moral and affective vulnerabilities as workers find their worth measured everyday by their performance of—and at—work and in every interaction and movement. This essay by Anushree Gupta is the third among a series of writings by researchers associated with the 'Mapping Digital Labour in India' project at the CIS, supported by the Azim Premji University, that were published on the Platypus blog of the Committee on the Anthropology of Science, Technology, and Computing (CASTAC). The essay is edited by Noopur Raval, who co-led the project concerned.

Originally published by the Platypus blog of CASTAC on August, 1, 2019.

Summary of the essay in Hindi: Audio (YouTube) and Transcript (text)

Mumbai, India’s financial capital, is also often considered one of the safest cities for women in India, especially in contrast with New Delhi which is infamously dubbed as the “rape capital” within the country. Sensationalised incidents of harassment, molestation and rape serve as anecdotal references and warnings to other women who dare to venture out alone even during the daytime. The Delhi government recently proposed a policy for free transport for women in public buses and metro trains with the objective of increasing women’s affordability and access and to ensure safety in public transportation. [1] Despite such measures to increase women’s visibility and claims to public utilities and spaces, women who use public transport have historically suffered groping and stalking on buses and trains, which uphold self-policing and surveillance narratives. The issue of women’s safety in India remains a priority as well as a good rhetorical claim and goal to aspire to, for public and private initiatives. Ironically, the notion of women’s safety is also advanced to increase moral policing and censure women’s access to public spaces, which also perpetuates exclusion of other marginalised citizens (Phadke 2007). Further, and crucially, whose safety is being imagined, prioritized and designed for (which class of women are central to the imagination of the safety discourse) is often a point of contention.

In this context, ridehailing services offered by Uber and Ola have come to be frequently cited as safer and more reliable options for women to traverse the cityspace, compared to overcrowded buses and trains. Their mobile applications promise accountability and traceability, enforcing safety standards by way of qualified and well-groomed drivers, SOS buttons and location-sharing features. However, it has increasingly become common knowledge that these alternatives are prone to similar, if not worse, categories of crimes against women. While reports of violence against women in cabs have mostly been outside of Mumbai, due to “platform-effects,” such incidents have widespread ramifications for drivers across the country. Cab drivers who operate via cab aggregator platforms have come under heavy scrutiny not only by the corporate and legal infrastructures of aggregator companies but also in the public eye. On the other hand, platform companies independently, and in partnership with city and state administrations, continue to launch “social impact” initiatives aimed at women’s safety as well as employment (through taxi-driving training). [2] Incidents of violence against women present jarring narratives of risk not only for female passengers but also for the platform-workers, both of whom are responsible for abiding by the constructed notions of safety for women in urban spaces.

In this post, I explore women’s presence as workers as well as passengers/customers in the ridehailing platform economy, in the context of women’s safety, situating the analysis with a focus on Mumbai. The related discourses around risk for female commuters give rise to various interventions and women-centric services through female-only cab enterprises and training more women drivers to mitigate this risk. Through these, I will think through the figure of the woman in the ridehailing economy in Mumbai and by extension in India.

Platforms in Gendered Cityscapes

Mumbai’s public transport is comprised of the local train network, BEST buses and auto rickshaws, with the metro being the newest addition to the mix. Unlike in most of India, kaali-peelis (black-yellow cabs) have been a permanent feature of Mumbai’s landscape since the 1950s and, taking a cab is not necessarily a luxury. Against this backdrop, platform companies have sought to make the claims of democratizing public transport and providing safer travel options to women in the city.

Cab drivers on ridehailing platforms in Mumbai are usually domestic male migrants or Muslim drivers from within and outside the city, who are more often than not overworked and stressed due to the falling incomes and rising debts. It is important to recognise the ‘veiled masculinities’ (Chopra 2006) which labor to service the emergent platform economy and the hierarchies of caste and class which are sustained through their labor. The incongruence between the masculinity of a working class man and the demands of the service economy (Nixon 2009) exacerbates emotional pressures in customer-facing services, which can offer an explanation for angry outbursts and conflicts between drivers and customers.

Uber’s ad on a billboard in Mumbai promises earnings of more than Rs. 1 lakh per month. Using a woman’s image illustrates the extent of their potential for transforming lives and livelihoods. Source: Drivers’ Union Telegram Group.

While Uber and Ola claim that a large number of women drivers work on their platforms, actual experiences of passengers and the male drivers I spoke to, suggested otherwise. Ironically, mass driver-training programs are seen as a quick way to make low-skilled and migrant male workers employable in Indian cities while, despite public-private partnerships to train women, it has been impossible to retain women drivers due to stereotypical perceptions of gender and persistent social stigma. [3] This made the ridehailing passenger woman (upper middle class, affording professional) a stakeholder to design for, while female drivers (but all female workers) appeared as liability for platforms.

These narratives speak directly to the construction of insecurity and risk for women (Berrington and Jones 2002) on public transport systems as they highlight vulnerabilities due to public exposure of women’s bodies. Pandering to a moral panic standpoint and creating personalised or ‘inside’ safe spaces for women to manage risk (Green and Singleton 2006), these platforms can then be imagined as a boundary-setting exercise. Access to public spaces is encouraged but it is delimited by confining the woman’s body to a singular vehicle in the custody of the cab driver. Autonomy and access afforded by the platform manages to transform women—particularly upper class and upper caste women who can afford these services—into potential customers. Their agency is bounded though by tasking the driver to ferry her across the otherwise hostile cityscape filled with ‘unfriendly bodies’ (Phadke 2013). The production of the city’s gendered space goes hand in hand with the confinement/erasure of female bodies in the public space as they embody patriarchal norms even in a city as ‘progressive’ as Mumbai. As demonstrated by studies mapping the movement of women in the city (Ranade 2007), the spatio-temporal factors lend themselves to creating gendered bodies in order to keep patriarchal norms intact. These norms, as I argue in this post, are detrimental not just to women but also other marginalised sections of the urban population, in this case platform workers.

Terms of Safety

Male drivers’ social identities as lower class, lower caste individuals do not inspire confidence in the standards of safety boasted by these companies in the eyes of their predominantly upper caste and upper class customer base. Risk to female passengers is further exaggerated due to the closed space in which the service is provided, highlighting the proximity to a potential aggressor by way of these platforms. In specific situations wherein a female passenger is inebriated or is travelling alone at night, drivers report being extra cautious and helpful towards her. Many respondents proudly mention going out of their way to make sure women get home safely, for instance, prolonging waiting time or escorting them to the entrance of their residential buildings or involving the security guard at the gate.

However, there have also been cases wherein the driver has been under scrutiny either by an overly careful passenger or by the public. One driver reported being surrounded by a crowd at a traffic signal, only to realise that he was being suspected of foul play with the female passenger who had fallen asleep on the backseat of the car. In contrast to their western counterparts, the class differences between drivers and passengers in India exacerbate doubts, fears and insecurities in India which tend to take a caste-purity angle as well. The woman’s body undergoes an exchange of custody in these instances wherein she is deemed incapable of taking care of herself and requires external assistance. Imagining a deterrence effect of ridesharing services (Park et. al 2017) reinforces the logic of guardianship and protectionism for the woman. The risk of carrying her in the vehicle in these situations is borne by the cab driver, operating under a framework of overbearing protectiveness which holds him culpable for any misgivings, assumed or otherwise.

Cautionary listicles advise women to not take a cab alone at night, carrying pepper sprays/umbrellas as tools for self-defence, refrain from conversations with drivers or talk continuously on the phone, among other things. The onus of the woman’s safety is either on the individual herself or the driver who is ferrying her. Moreover, the driver is a likely assailant whom the woman should guard against as well. Source: HelloTravel.

Notions of safety and risk are embodied in everyday interactions in urban spaces and mediated by disparate infrastructures of knowledge across distinctions of caste, class and gender. These distinctions define constraints which govern social interactions between actors of these categories. Interactions between lower caste or Muslim men and upper caste/class women are circumscribed by what Tuan (1979) describes as ‘landscapes of fear’. Be it the apprehensions about sharing a ride with a passenger of the opposite sex (Sarriera et. al 2017) or reports of gang-rapes by cab drivers, the boundaries of social conduct are laid out clearly by constructing narratives of risk and safety. The protection of the female body and her sexual safety is not her responsibility alone but that of the society as a whole. The so called preventive measures for rape and violence against women produce the dichotomies of frailty and strength (Campbell 2005) in so far as they project the woman as always at risk with the shadow of a potential assault always looming large.

When asked about interactions with women as customers or fellow drivers, drivers performed exaggerated respectability for women. The catch in these narratives however was that drivers justified and extended respect only to ‘good’ customers, where a ‘good’ woman was a certain kind of a moral actor.

Given the prevailing discontent with redressal mechanisms for workers on the platforms, it was not surprising to witness a group of drivers at the Uber Seva Kendra (help centre) in Mumbai, debating whether they should be accepting requests from any female customers at all. Drivers also had to attend mandatory training sessions for ‘good conduct’ with customers wherein they underwent behavioral correction and gender sensitisation lessons. [4] The gendering of the platform economy is baked into these instructions and trainings that reproduce male drivers as figures of safety and constant positive affect.

Gender, Safety, and Enterprise

In my fieldwork, I also came across a slew of ventures run by fleet owners and others that sought to service women passengers and employ women drivers exclusively. Claiming to fill in the gaps of inadequate vetting mechanisms in existing platforms, these alternate ventures purportedly smoothened out some anxieties by eliminating the risk of interacting with a man from different socio-economic strata. The premium charged by these companies was telling of the value of safety and affordability of these services for a large section of their intended audience, namely women with higher disposable incomes residing in metropolitan cities.

On the flipside, these enterprises encouraged women to break stereotypical perceptions about women drivers, also giving a nod to increasing and diversifying opportunities of employment for women. However, these ideas remained attractive only in principle and fizzled out sooner or later as most of these ventures did not succeed. A severe capital crunch due to unsustainable business models, limited funding options and lack of substantial supportive ecosystems for training and upkeep are possible reasons for failure. [5] Even so, the idea of a women-centric service continues to remain valuable because of the promise of safety which is produced through considerations of class, caste, gender and religion (Phadke 2005). Any alternative to avoid interaction with men from a lower class or caste background or from another religion (especially Hindu/Muslim in Mumbai) is welcome in a society which is deeply stratified and entrenched in caste-class systems of religion and economy alike.

Conclusion

The pervasiveness of the discourses of safety and risk in the ride hailing space became apparent to me during field research. Respondents indicated a heightened awareness of my gender, referring to me as “madam” and taking measures to ensure my safety. They advised me to use a separate phone to interact with drivers and moderated my interactions with drivers on the Telegram group (run by one of the Unions in Mumbai). Union representatives were also diligent in moderating the group to filter out abusive language as a token of respect for women. My apprehensions in interacting with drivers, most of whom were older men from a lower class/caste community, were also indicative of my social conditioning as an upper class and upper caste woman. Self-policing and boundary setting in both physical and virtual interactions, while necessary to some extent, were often rendered useless as the shifting of risks became apparent to me in my interactions with the drivers.

In this piece, I have tried to show how gendered norms govern the construction of safety and risk which in turn regulate social interactions. Limiting exposure in a personal cab as opposed to a public bus/train also heightens considerations of intimacy and proximity to a potential aggressor (often from a marginalised sociocultural background). Women-centric cab services mitigate this by promoting the image of the female driver who breaks social norms. However, these services dwindle till they completely disappear due to a capital crunch or insufficient infrastructural support. Patriarchal contexts reaffirm the woman as a risky object by highlighting narratives of vulnerabilities and insecurities in the ridehailing space. Besides the woman, the cab drivers are held accountable for bearing this risk and ensuring her sexual and physical safety. These patriarchal hierarchies of protectionism are sustained by platform workers’ affective labour which lubricate the wheels of the platform economy.

Endnotes

[1] https://www.thehindu.com/news/cities/Delhi/free-rides-for-women-only-the-starting-point-say-activists/article28111938.ece

[2] https://www.olacabs.com/media/in/press/ola-foundation-launches-drive-to-enable-sustainable-livelihoods-for-500000-women-by-2025

[3] https://www.buzzfeed.com/soniathomas/girl-power

[4] https://yourstory.com/2018/11/uber-gender-awareness-sensitisation-driver

[5] https://www.livemint.com/Companies/bo4534H8mOWo0oG6VQ0xbM/As-demand-for-womenonly-cab-services-grow-challenges-loom.html

References

Berrington, E. and Jones, H., 2002. Reality vs. myth: Constructions of women’s insecurity. Feminist Media Studies, 2(3), pp.307-323.

Campbell, A., 2005. Keeping the ‘lady’ safe: The regulation of femininity through crime prevention literature. Critical Criminology, 13(2), pp.119-140.

Chopra, R., 2006. Invisible men: Masculinity, sexuality, and male domestic Labor. Men and Masculinities, 9(2), pp.152-167.

Green, E. and Singleton, C., 2006. Risky bodies at leisure: Young women negotiating space and place. Sociology, 40(5), pp.853-871.

Nixon, D., 2009. I Can’t Put a Smiley Face On’: Working‐Class Masculinity, Emotional Labour and Service Work in the ‘New Economy. Gender, Work & Organization, 16(3), pp.300-322.

Park, J., Kim, J., Pang, M.S. and Lee, B., 2017. Offender or guardian? An empirical analysis of ride-sharing and sexual assault. An Empirical Analysis of Ride-Sharing and Sexual Assault (April 10, 2017). KAIST College of Business Working Paper Series, (2017-006), pp.18-010.

Phadke, S., 2005. ‘You Can Be Lonely in a Crowd’ The Production of Safety in Mumbai. Indian Journal of Gender Studies, 12(1), pp.41-62.

Phadke, S., 2007. Dangerous liaisons: Women and men: Risk and reputation in Mumbai. Economic and Political Weekly, pp.1510-1518.

Phadke, S., 2013. Unfriendly bodies, hostile cities: Reflections on loitering and gendered public space. Economic and Political Weekly, pp.50-59.

Ranade, S., 2007. The way she moves: Mapping the everyday production of gender-space. Economic and Political Weekly, pp.1519-1526.

Raval, N. and Dourish, P., 2016, February. Standing out from the crowd: Emotional labor, body labor, and temporal labor in ridesharing. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (pp. 97-107). ACM.

Sarriera, J.M., Álvarez, G.E., Blynn, K., Alesbury, A., Scully, T. and Zhao, J., 2017. To share or not to share: Investigating the social aspects of dynamic ridesharing. Transportation Research Record, 2605(1), pp.109-117.

Tuan, Y.F., 2013. Landscapes of fear. U of Minnesota Press.

For more details visit https://cis-india.org/raw/anushree-gupta-ladies-log-women-safety-risk-transfer-ridehailing

Noopur Raval and Rajendra Jadhav - Power Chronography of Food-Delivery Work

Noopur Raval and Rajendra Jadhav — 2020-05-19T06:33:39Z

Working in the gig-economy has been associated with economic vulnerabilities. However, there are also moral and affective vulnerabilities as workers find their worth measured everyday by their performance of—and at—work and in every interaction and movement. This essay by Noopur Raval and Rajendra Jadhav is the fourth among a series of writings by researchers associated with the 'Mapping Digital Labour in India' project at the CIS, supported by the Azim Premji University, that were published on the Platypus blog of the Committee on the Anthropology of Science, Technology, and Computing (CASTAC).

Originally published by the Platypus blog of CASTAC on August 15, 2019.

The ethnographic research was conducted by Rajendra and this short essay was collaboratively produced by the field researcher and Noopur (co-PI). The accompanying audio recording has been produced by Noopur.

Summary of the essay in Hindi: Audio (YouTube) and Transcript (text)

This post presents the observations around the design of temporality within app-based food-delivery platforms in India. It draws on semi-structured interviews by field-researcher Rajendra and his time spent “hanging out” with food-delivery workers who are also often referred to as “hunger saviors” and “partners” in the platform ecosystem in India. Like in the earlier post by Simiran Lalvani on food-delivery workers in Mumbai, we also observed that app-based work was structured and monitored along similar lines. However, in this post, we go into a detailed description of how work-time and temporality of work are configured in order to fulfill the promises that app companies make to customers in urban India. Before such app-based services came into existence, there were some popular claims around delivery-time (“30 minutes or free pizza” by Domino’s) but the entire process of food preparation, travel and delivery had not been made as transparent and quantified in a granular way as they are now through popular apps such as Swiggy, Zomato and UberEats. While such companies exist in the other parts of the world and make the promise of “anytime work” to potential workers, as we observed during fieldwork, app-based food delivery-work is anything but flexible. People could indeed start working at any time of the day, but it had real consequences to earn a living wage. While they were free to logout or switch off their app also at their convenience, they would be constantly nudged in the form of calls by warehouse managers as well as through text messages telling them how they were missing out on earnings. It is also important to note that, in India especially, food-delivery as a standardized form of work, exists in a regulatory grey space. In that sense, there is not a lot of clarity on the maximum limit of working hours in a day and in a week. In the following sections, I provide details about how work is structured temporally in this system.

Shift-based Work

When Rajendra spoke to workers in the Delhi-NCR region, they reported that they could choose to work different kinds of shifts like part-time (8 AM – 3 PM or 7 PM – 12 AM), full-time (11 AM -11 PM) or ultra full-time (7 AM -11 PM). While workers could pick their timings or slots on weekdays, it was mandatory to work on the weekends. As mentioned earlier, while companies claimed that riders could log in and out at any time of the day, their pay depended on the number of deliveries they make and the hours they worked. But it’s not that simple. It is not just the wholly quantified units (an hour, a day) that become exigent and overbearing; it was in fact how these rules demanded high levels of alertness and care from the workers. Any kind of carelessness, not paying attention (to time, text message announcements) could be detrimental to claiming pay for the work they had done already. For instance, like a worker described, if he even logged out a minute before the end of the shift, he would lose out on his incentive. Another worker added,

If you log off even five minutes before eleven (pm), a call comes from the company and they ask you to log back in immediately.

In such cases, those managing the backend systems even make these calls to shield workers from the eventuality of losing pay and the hassle of resolving disputed payments later by simply urging and pushing workers to stay on-time and online. In that sense, there is not only an expectation of punctuality and always being-on as a desirable thing, but it is also imperative for the workers to meet these expectations while they interact with the app itself.

Sticker provided by a food-delivery platform to promote its brand. Source: Noopur Raval, author.

Time of Eating, Time of Sleeping

Typically, restaurants and food businesses in Indian cities are heavily regulated, especially in terms of closing times. While these rules differ for each city, in and around Delhi, restaurants are expected to close down by 10 pm, and those that seek to remain open for longer need special permissions. With the arrival of app-based delivery companies, the time of food production and consumption has stretched. Also, with the right kinds of permits, cloud kitchens and home-based producers are also allowed to operate through these platforms, thus making multiple food choices and cuisines available until as late as 4 am in the morning. Whose consumption needs are being serviced at these late hours is a question beyond the scope of this post, but it also means that there is opportunity/compulsion for workers to stay up late at night, making deliveries. Not surprisingly, it is also often these late-night shifts that are better incentivized, not just money-wise but also because there is less traffic at night (a constant source of stress in day-time shifts). As other studies have also noted, platform companies, especially food-delivery services that mostly engage bike and scooter riders (Lee et al. 2016) globally, enforce this cruel temporal inversion where being a service-worker in this economy also means working on others’ (customers’) time of leisure and/or comfort. Especially in Delhi, where the winters get brutally cold, ironically, the profitability of delivering hot food increases. However, it is not that straightforward. One worker Rajendra spoke to in March (springtime) explained,

I am not going to work with any of the food delivery company from April onwards because of the hot summer in Delhi, it is very difficult to ride in a day time of summer.

Temporary Work

Temporariness is the dominant temporal fate of gig-work at-large—workers in our study (food-delivery as well as ride-hailing) often insisted how gig-work was only temporary until they could become business-owners, find a better job, or fund their education and so on. However, as we observed in food-delivery work, there was also a lot of seasonal movement of workers, a reminder of the contextual, ecological and urban migration continuities that inform, support and shape who comes to the reserve force/waiting zone of gig-work. In classic labour terms, the push and pull factors that move people out of agricultural labour or other kinds of work must be studied with an eye to new forms of easy-entry jobs such as gig-work. On the other hand, there were also other considerations on time such as responsibilities and social obligations to family that made food-delivery work (fast paced, inhering a certain amount of recklessness and the willingness to put oneself at risk) less attractive to some (older men and women with a family) and more to some others (younger single men). This made us think of the way in which Sarah Sharma (2011) emphasizes temporal power over speed discourses (she offers the term ‘power-chronography’) where, the ways in which food-delivery work is temporally arranged, distributed and rewarded, privileges certain actors (the customers but also some kinds of workers) over others in the city’s labour market.

References

Lee, Do J., et al. “Delivering (in) justice: Food delivery cyclists in New York City.” Bicycle Justice and Urban Transformation. Routledge, 2016. 114-129.

Sharma, Sarah. “It changes space and time: introducing power-chronography.” Communication Matters: Materialist Approaches to Media, Mobility and Networks (2011): 66-77.

For more details visit https://cis-india.org/raw/noopur-raval-rajendra-jadhav-power-chronography-of-food-delivery-work

From Health and Harassment to Income Security and Loans, India's Gig Workers Need Support

Zothan Mawii (Tandem Research), Aayush Rathi (CIS), and Ambika Tandon (CIS) — 2020-05-19T06:57:36Z

Deemed an 'essential service' by most state governments, and thereby exempt from temporary suspension during the COVID-19 lockdown, food, groceries and other essential commodities have continued to be delivered by e-commerce companies and on-demand services. Actions to protect workers, who are taking on significant risks, have been far less forthcoming than those for customers. Zothan Mawii (Tandem Research), Aayush Rathi (CIS) and Ambika Tandon (CIS) spoke with the leaders of four workers' unions and labour researchers to identify recommended actions that public agencies and private companies may undertake to better support the urgent needs of gig workers in India.

Originally published by The Wire on April 29, 2020.

Nearly two weeks ago, news broke that a Zomato delivery worker tested positive for COVID-19 in New Delhi.

As many as 72 families in the south Delhi neighbourhood where he made deliveries have been quarantined, along with 17 other people he worked with. With the luxury of social distancing not extended to delivery workers, the incident further fuelled the apprehensions and uncertainties that they already were contending with. This was only a matter of time.

Deemed an “essential service” by most state governments, and thereby exempt from temporary suspension during the lockdown, food, groceries and other essential commodities have continued to be delivered by e-commerce companies and on-demand services including Swiggy, Zomato, BigBasket, Dunzo, Housejoy and Flipkart.

In choosing to continue operations, these companies have then rushed to enforce measures to put customers at ease. Such measures have included no-contact deliveries, card-only payments, and displaying temperature readings of workers.

Uber and Ola Cabs suspended services in most areas, and announced that in places where they are providing essential services, workers have been instructed to wear masks and observe hygiene standards.

Swiggy and Zomato announced they were communicating with workers about safety and hygiene standards. Zomato has more recently announced that the company is making the Aarogya Setu app mandatory for workers to receive orders.

Relief funds have been set up— donations to these funds continue to be solicited from the public and company executives have made grandiose gestures of contributing their salaries to these funds.

Stark reality

The situation on the ground, however, tells another story. Actions to protect workers, who are taking on significant risks, have been far less forthcoming than those for customers. Workers are also bearing the brunt of arbitrary surveillance measures, like being asked to download the Aarogya Setu app, in addition to scrutiny they are placed under regularly. No such surveillance measures have been placed on customers. The priorities of on-demand service companies are clear: protect the bottom line at the expense of vulnerable workers.

In the absence of any concerted support from the companies, service workers could have looked to the state for relief. None has been forthcoming. Government action has pegged the targeting of relief works and services to those currently eligible for welfare programs and registered under its various schemes. Most gig workers, if not all, are ineligible as a result of the arbitrary conditions underlying these schemes.

We spoke to the leaders of four unions — including the Indian Federation of App-based Transport Workers (IFAT) and the Ola and Uber Drivers and Owners’ Association (OTU)– who represent gig workers across the country about the risks and vulnerabilities that they are having to contend with.

The precariousness characterising gig work could not be starker. A summary of the discussions can be found here, while the recommendations emerging from these discussions have been shared with government officials and company representatives and can be found in full here.

Below are some of the key recommendations that emerged from these discussions.

Health

Many on-demand service companies have not provided workers with any personal protective equipment (PPE), not even to delivery workers who face heightened risks of exposure to the coronavirus at nearly every step of the delivery process.

Some unions had to take to distributing masks, while many other workers continue to incur repeated costs to safeguard their own health. At a later stage, Swiggy announced that workers would be reimbursed for these purchases, but the process is so tedious that workers have found it untenable.

In addition, health awareness campaigns regarding safety measures and risks were also launched very late into the crisis, and then were not in vernacular languages and could not be comprehended by most workers.

In terms of insurance, most platforms have announced financial assistance for workers who test positive for COVID-19. This is aimed at covering their hospital expenses, as well as providing a daily stipend for a limited period. However, these come short as there are no provisions for OPD consultations or even for the cost of going and getting tested (losing one day’s work and then potentially one more before the results come in).

Additionally, the difficulty and expenses of obtaining a test could place an additional burden on workers — as without proof of a positive test, workers will be unable to access this fund in the first place. This is far from the robust health insurance that must be provisioned to ensure workers’ health and safety. Some platforms have made telemedicine services available for workers and while this is a step in the right direction, it must be backed by more tangible protections like covering part of the costs incurred for treatment.

Unions demand that companies provide adequate PPE to workers free of cost —masks, gloves, hand sanitisers, and soap. If platforms continue to ask workers to log in at significant risks to themselves and their families, provision of safety equipment is the basic minimum requirement that must be met immediately. This should also include a plan to ensure workers’ access to clean and hygienic sanitation facilities, as they may not have access to these on their delivery routes.

In addition, platforms must provide health insurance cover in addition to accident insurance coverage and hospitalisation cover for COVID-19. This should include OPD consultations.

Income security and social protection

With services suspended or demand really low, gig workers have either lost their income or seen it fall drastically — delivery workers’ daily earnings are as low as Rs 150-Rs 300 for a full day’s work.

Almost a month into the lockdown, there is little clarity as to who is eligible for the funds that companies have raised, and in what manner and or what purposes it will be disbursed.

Ola Cabs has offered interest free loans to drivers for relief in the short term, while some Uber drivers have received a Rs 3,000 grant from the company. If disbursed universally this would ensure availability of some liquidity for workers, although at this stage it remains unclear if all drivers are eligible to receive the grant.

Workers and unions are afraid that this grant might only be accessible for workers with high ratings, or those who have logged longer hours especially through the course of the lockdown period. This would effectively penalise workers for going to their homes for the lockdown, or being otherwise unable to work. Unions have estimated that not more than 20 percent of workers continue to remain active through the lockdown period.

Moreover, research has shown that workers are not necessarily aware of the protections made available to them as a result of the legalese that companies couch these terms in.

To ensure income security, platforms must make direct cash transfers to all workers who have logged in for at least two weeks between January and April 2020. This should be fixed according to minimum wage standards for skilled work in each state or at Rs 1,000 per day of the lockdown, and will have to be enforced with retrospective effect.

The former should be treated as an entitlement of workers while a portion of the latter can be asked to be repaid by the workers over the course of the next year. The fiscal responsibility for the cash transfers can be shared with governments. Governments can request the data held by these companies for the transfers.

Rent and loans

Some states have announced moratoriums on house rent but again there is no explicit mention of gig workers being included in this — and in states where such a move hasn’t been announced, gig workers must continue to pay house rent without having a source of income to rely on.

On the issue of loan repayments, the RBI allowed lending institutions to grant a three-month moratorium on retail loan repayments as a part of its COVID-19 regulatory package. On the one hand, availing of the moratorium will significantly increase the loan tenure and total amount to be repaid. On the other, several gig workers have reported that the enforcement of the moratorium itself has been piecemeal outside of public sector institutions.

Here again they have to make a Faustian bargain. The government should enforce the RBI’s directive strictly so gig workers get some relief.

Further, several companies themselves have leased vehicles to workers, for which payment of EMI must be ceased through the months of March to May to allow workers some relief without requiring the return of vehicles. Currently, EMIs have only been stalled on the condition of returning vehicles.

Harassment

Workers have been subject to harassment and discrimination by the police and customers alike, making it difficult to continue work. Despite the categorisation of delivery as an essential service, companies are finding it difficult to get easy access to movement passes in bulk, which implies that workers are penalised by being unable to work even if they are available. Companies have come out to allege harassment despite clear directions to allow movement of delivery workers, which points to gaps in enforcement.

Further, frequent barricading has implied that workers are not able to complete orders without diversions despite having passes for movement. Meanwhile, companies continue to mandate door-to-door delivery so as to ensure that customers are not inconvenienced at all. In some cases, this has implied that workers have to travel on foot in barricaded areas to deliver orders.

We recommend that companies urgently set up a helpline for workers to address such issues that may arise in delivery. We also recommend that companies proactively work with the government to map hotspots and containment zones and cease delivery in such areas. Thus far, there is no indication of any such measures by companies.

Post-lockdown revival

The lockdown brings to the fore just how vulnerable gig workers are.

This is a direct consequence of the gig work arrangements structured as disguised employment. Deeming workers as independent contractors and self-identifying as technology providers, on-demand service companies have washed their hands of the responsibility of providing labour protections and social security measures despite exerting extensive control over the conditions of work (such as wages, incentives) and the manner of its dispensing (such as the standard of work, hours of work).

Governments, too, have done little to recognise gig workers although they have been added as a category of workers in the draft Social Security code. Relief measures announced by the government exclude them. However, the government needs to intervene urgently in the current situation.

Platforms are likely to recover once the lockdown is lifted —home delivery services like BigBasket and Grofers have already seen their businesses skyrocket.

However, there is an urgent need to rebuild on-demand work as one that isn’t merely in the service of capital. A first step to that would be to reduce commissions to 5% for at least 6 months so that workers can recover financially. The unencumbered spending to capture market share at the expense of workers needs to be curbed. Enforcing these recommendations will require a coordinated effort between governments and on-demand service companies. As consumers, it is also our responsibility to question companies that do not take on the moral responsibilities of extending adequate worker protections.

With unemployment in the country skyrocketing, it may be the case that on-demand work opens up avenues to securing work. It then becomes imperative to ensure any future of work is one that is inclusive and accounts for the systemic changes that are now impossible to ignore.

While social distancing is a choice truly available to a privileged few, we need to ensure that social protection isn’t.

For more details visit https://cis-india.org/raw/gig-workers-need-support

Roundtable on India’s Gig-work Economy

Noopur Raval, Anushree Gupta, Rajendra Jadhav, Sarah Zia, and Simiran Lalvani — 2020-05-19T06:36:34Z

Working in the gig-economy has been associated with economic vulnerabilities. However, there are also moral and affective vulnerabilities as workers find their worth measured everyday by their performance of—and at—work and in every interaction and movement. This roundtable discussion marks the end of our series on 'India’s Gig-work Economy' published by the Platypus blog of the Committee on the Anthropology of Science, Technology, and Computing (CASTAC). In this discussion, the researchers reflect on methods, challenges, inter-subjectivities and possible future directions for research on the topic. Listen to the audio track below or read the transcript for the full discussion.

Originally published by the Platypus blog of CASTAC on September 5, 2019.

Full transcript of the roundtable in English.

Excerpts from the roundtable

Part 1: On continuities between traditional and newer forms of work in cab-driving

Anushree (researcher, taxi-driving in Mumbai): “Something that came out during field work was the flow of workers from traditional services to app-based services which kind of happened in phases and all these platforms have played a different function in the history of this. While the radio taxis were more important in teaching workers to become professionals in the service economy the new platforms have given them a larger customer base and hired access to audience.”

Sarah (researcher, taxi-driving in Delhi): “Prior to Ola and Uber there were radio cabs, but they were not the same phenomenon obviously. They used to work in specific pockets better, such as the airport route.”

Part 2: Regulation of platform companies and platform-work

The State’s response to disruptive technologies in India has always accounted for worker groups as electoral constituents as well. This means that there are no neat divisions between older black and yellow cabs and the newer ride-hailing app-based cabs. To pacify the threatened black and yellow cab drivers, they were accorded a special category on hailing apps as well:

Anushree: So there were a lot of issues around the emergence of the app-based platforms and services and how they were disrupting the existing arrangements so in a bid to pacify the yellow and black cab drivers who are already operating in the city, these platform companies decided to go ahead and provide access to traditional taxi services as well. But also the related development that happened there is at the Maharashtra state government also provided another app to the black and yellow Cab drivers and as far as I found out during my fieldwork there hasn’t been any resolution on that front and most black and yellow cab drivers also use the State government made app but they also log into apps and every time I tried to book a black and yellow cab using Ola and Uber I could not get one.

Part 3: On motivations and perceptions of gig-work

Simiran (researcher, food-delivery work in Mumbai): “So, I felt that these non app-based workers had difficulty joining apps because they lack domicile proof to prove they live in the city. There is also a perception that one needs to be English speaking. I am not implying that app-based workers have no rural roots or are all English speaking or educated but this is the perception that was held by non-app workers that was interesting.”

Rajendra (researcher, food-delivery work in Delhi): “In case of the food-delivery workers in Delhi, they push them to deliver orders on time. This pressure makes them violate traffic rules, they ride on pavements, they break traffic signals. This also disrupts the social understanding of how to move in the city.”

Part 4: On studying the gig-economy in India: how did you recruit, why?

Noopur: Why not order and recruit because so many people seem to be taking this pathway to approach gig-economy workers?

Simiran: “…One thing is that I have never ordered food online so I wanted to keep it a bit blind that way but also the other thing is that I did not want my first interaction with the worker to be as a consumer or in a consumer-provider relationship. So, I was searching on Youtube, looking for city names and looking for search terms such as strikes or protests. Looking for videos about these things and their views on the companies…This was very interesting because there were also people from non-metro cities, from small towns doing this work who were also very eager to speak to me. They were expressive already and wanting to speak…”

Anushree: “Apart from them fleet owners and union members were very eager to talk to us. They saw the study as a way to put their voice out. I had to establish my identity as well as a researcher. I used Telegram and facebook groups extensively…I think I relied on Telegram the most. It was also surprising that such a diverse set of people were on that platform. I had never used Telegram before this project but the comfort levels of all the people using it was really surprising. Drivers in the union members group was sort of surprising to me, they were posting images from the road, they were posting audio notes, they were moderating conversations in the group. Telegram was my major source of responses and I also got to know what was happening on the ground.”

Sarah: “So, when you identify as a researcher and ask them these questions there is a certain expectation of allyship. So, I started asking them what they think is a good customer. That was a good entry point to assuring them that I was on their side. Some of them were still very cautious. We were talking about things like drunk women and they would be quick to tell me that not all women are bad. Or not all customers are bad. But discussing customers and their behavior was generally a good way to connect with them…”

For more details visit https://cis-india.org/raw/india-gig-work-economy-roundtable