Special Issue — Gendered Mobility
Urban transport systems are not gender-neutral
Transport planning has historically centred male 9-to-5 commuting patterns, overlooking the distinct mobility needs, safety concerns, and caregiving realities of women and gender minorities. This summary covers six key dimensions of gendered disparity identified across the research literature.
6
Key dimensions of gendered disparity
16 km
Daily walking distance for some informal female workers
Compounded risk for transgender & non-binary individuals
0
Change in men's commute after fatherhood — vs. significant shift for women
🔗
Trip chaining
Men make linear home-to-work commutes. Women weave together multiple shorter trips — school drop-off, groceries, errands — around paid work every day.
Time poverty
Juggling productive and reproductive roles forces many women into part-time work or jobs near home, directly capping wages and career development.
Life-cycle impact
Having a child significantly shrinks women's commute distances and shifts their travel modes. Men's commuting patterns remain essentially unchanged after becoming fathers.
Key insight: The mobility burden of caregiving is not a personal choice — it reflects deeply structural inequalities in how household work is divided, with direct consequences for women's economic independence.
⚠️
Avoidance behaviours: High rates of harassment produce hypervigilance. Women regularly alter routes, stop using transit at night, or pay more for private transport to guarantee their safety.
Route alteration
Women frequently choose longer or less direct routes to avoid perceived risk — a hidden "safety tax" on daily mobility.
Mode switching
Switching from buses to ride-hailing for safety is common, placing a financial burden on women who can least afford it.
Gender minorities
Transgender and non-binary people face compounded risk: discrimination based on both gender presentation and existing marginalisation. In conservative contexts, public transport can be hostile enough to cause severe social exclusion.
🚌
Private car accessMen significantly higher
Public transit relianceWomen significantly higher
Bicycle & e-scooter useMen dominant globally
Bars indicate relative male dominance or female reliance — illustrative of research direction, not absolute percentages.
Captive users
Lower average incomes mean women depend more heavily on public transit — yet off-peak and peripheral routes, which serve caregiving trips, are systematically underfunded.
Micromobility
Women cite traffic aggression and poor infrastructure as barriers to cycling. Dense cities with traffic calming (e.g. Barcelona) see much higher female scooter adoption.
Built environment
Well-lit streets, clean stations, and active shopfronts ("eyes on the street") make women feel safer. Dead-end streets and segregated corridors deter female mobility.
📍
Mobility entropy: Big data from mobile phones reveals that men visit a wider, more diverse set of locations. Women's activity spaces are smaller, more local, and more predictable.
Urban vs. peripheral
Women in suburban or rural areas face a "double disadvantage" — limited local opportunities combined with poor public transit. When rural roads improve, women disproportionately benefit.
Job-housing imbalance
Women are far less likely than men to commute long distances due to family responsibilities. Low-income women forced to travel from the periphery carry the heaviest time and physical burdens.
Income
Gender disparities widen at lower income levels. Low-income women are trapped in slow, affordable modes. High-income women achieve near-parity through car access.
Generational shift
Post-COVID data from cities like Madrid shows young women making more trips than young men — a sign of shifting cultural norms and growing female labour participation.
Informal labour
Female waste pickers in the Global South walk up to 16 km daily pushing heavy carts while managing childcare — their street is simultaneously their workplace and a hostile public space.
Bottom line: Gender is not the only axis of disadvantage. Class, age, location, and labour type interact to create sharply different experiences of urban mobility.
🚲
Gig drivers
Female ride-hailing drivers work shorter routes, stay close to home to manage family duties, and avoid night shifts entirely for safety reasons.
Female couriers
Women couriers demand higher pay to accept cycling and walking assignments — modes they perceive as more physically demanding and less secure.
Recreational running
Female runners prefer populated parks and lit paths. Many significantly shorten routes or stop running outdoors altogether after dark due to threat of harassment.
Insight: Gendered mobility inequality extends beyond commuting into leisure and the gig economy — even time for personal health and recreation is shaped by the threat of violence.