From November 2020 until February 2021, TInnGO WP7 “Data analysis and modelling”, led by the Portuguese company VTM, ran a survey to explore mobility patterns in different European cities.

This study aims to explore the effects that the intrinsic/ socio-economic/ background characteristics of individuals have on the way they move and how it affects their ability to integrate into society and access employment opportunities. Therefore, the role of the transport system in different environments is being explored. The way in which the transport system affects individuals with different attributes, and the impact of these on perceptions and evaluations of the transport system will be analysed.

The objective of this survey is to understand, for the ten hub countries involved in this project:

  • the main drivers of mobility for different groups in terms of age, gender and diversity (AGD);
  • commuters’ choices, particularly women in different metropolitan areas with distinct transport systems;
  • the impact of personal characteristics and daily activities in the choice of transport modes, including, for example, constraints in terms of physical access to services;
  • how each transport system affects women’s mobility behaviour;
  • the perception of different AGD groups regarding new transport policies, technologies, and services.

Following an intersectional approach, the outcome will be sustainable Gender Smart Mobility Plans seeking to engage different AGD groups in the ten metropolitan areas analysed for policymakers and transport planners.

Below you will find the results collected from four cities: Turin (Italy), Thessaloniki (Greece), Valencia (Spain) and Paris (France). The results for each case study are based on at least 400 responses.

A second batch of results from Copenhagen and some Swedish cities (Denmark & Sweden), Vilnius and other cities in the Baltic countries (Baltic countries), Hannover (Germany) and Lisbon (Portugal) will be published before the end of September 2021. A third batch containing the results from Alba lulia (Romania) and West Midlands (Northampton, Coventry, and Birmingham – United Kingdom) will be made available in the following months.

Modes of transport used in the metropolitan areas

The following graphs show the distribution of the most used modes of transport (PT-public transport, private vehicle, and soft modes) during the most frequent journey during the current situation of the pandemic in the metropolitan areas of Paris, Turin, Thessaloniki, and Valencia.

Mode choice by trip purpose in the metropolitan areas

The aim of these graphs is to provide a better understanding of the mode of transport used by the respondents for each type of trip. Therefore, in these graphics you can see the percentage of people who use each transport mode for each trip purpose in the metropolitan areas case studies.

Mobility patterns by gender vs trip purpose

This graphic aims to analyze travel patterns according to gender. This means that through different survey questions the study achieved to identify by gender and by trip purpose, whether the respondents usually make stops during their most frequent journeys, and the reasons for those stops. This is to provide a better understanding of how sociodemographic characteristics affect mobility patterns of different users and to what extent cultures and societies have an impact on the comparison of all participating hubs.

Mobility patterns by gender vs trip purpose: Valencia case study

This graphic represents the results for the Valencia data analyses including the variable “dependents”. The graphic shows the most used mode of transport by gender filtered by this variable. In this case we have decided to show the Valencia case study because regarding the choice of mode of transport for people who travel with dependents, it was possible to see that both genders choose private vehicles. However, the case of Valencia is the exception. As you can see in the figure, women choose more the car while more men have stated that they move with their dependents on foot.

Distance traveled in the metropolitan areas

Trends:

  • Working age men travel longer distances (25 to 64);
  • Younger  women travel longer distances  (18 to 25);
  • For women over 75 years-old there is no clear trend.
  • In Turin and Valencia, women make the longest journeys.

Trip duration in the metropolitan areas

Trends:

  • Paris:
    • Women (25-34 and 65-74) take longer on the most frequent journey
  • Turin:
    • In younger age groups, women stated that it took them in average 40 min to go to work/school, while the same journey took men 25 min

Harassment in the metropolitan areas - Greek hub case: Thessaloniki

27 occurrences in the same 250 meters radius

50% of people affected belonging to the “below average” category

Harassment in the metropolitan areas - French hub case: Paris

People who reported harassment experiences feel:

  • less safe from harassment at stations
  • less safe from harassment inside public transport vehicles

Among women, women older than 45 feel less safe than younger women

Age, gender and diversity do not have any significant differences in the way they perceive security aspects

Satisfaction levels concerning safety and security for the 4 hubs

Older people are more sensitive in the assessment of safety and security aspects

Among younger people the service is perceived in almost the same way (no difference between men and women)

Younger women feel safer

Future trends in public transport

  • Transport services that adjust the routes according to passenger needs (Turin)
  • Provision of suitable connections between sidewalk and bus/train/metro to facilitate the boarding process (Paris)
  • Provision of panic/alarm buttons at bus stops/ stations (Paris, Valencia)
  • Provision of panic/alarm buttons inside vehicles (Paris, Valencia)
  • Provision of a reliable camera surveillance system at bus stops/ stations