Urban mobility is a central concern in cities worldwide. Accessible and sustainable public transport must provide people with access to locations within cities as well as across cities.
Studies confirm that human travel patterns abide by a two-parameter power-law distribution, yet few investigate the factors responsible for this distribution and their implications for urban resilience.
Synthetic phase
Urban mobility refers to how people access food, engage in economic activity, access entertainment and meet up with friends and family – all through seamless movements between locations. Over the years various transport technologies and infrastructures have been implemented worldwide to create various urban transportation systems.
Urban planning demands a paradigm shift to reduce travel distances, increase modal share for sustainable modes, and optimise energy efficiency. Achieve this will require new tools which capture travel decisions instantly and deliver real-time data analysis of individual trips.
Synthetic data refers to artificially generated information created using algorithms and simulation models, which reproduce various structural and statistical characteristics of real datasets with greater precision. Such artificially created datasets can be used for testing controlled scenarios of planned changes to urban traffic or human mobility; moreover, synthetic population can also be created utilizing this approach.
Pendulum phase
Urban transportation infrastructure and services development can have an impactful effect on peoples’ modal choices; however, they alone cannot solve all of the mobility problems in urban areas; it is necessary to foster an attitude of mobility that aligns with peoples’ needs.
The initial era of urban mobility was marked by high density cities and public transit systems, while its second iteration saw widespread automobile ownership and declining public transport usage; at the same time, suburban developments expanded commercial activities within city limits, leading to passenger and freight mobility systems independent from public transit.
Lack of public transit options has resulted in spatial restrictions that restrict mobility of some individuals residing in remote locations, potentially increasing levels of isolation if they do not own an automobile.
Professional phase
Urban mobility refers to all modes of transportation within urban environments. From metro lines and e-scooters to delivery robots and traffic management platforms, this field includes innovative technological solutions designed to reduce pollution and congestion.
Successful urban mobility projects demand careful project planning and management. From research and community engagement through infrastructure design and technology implementation, these endeavors involve multiple interdependent phases that must be carefully coordinated for success.
As cities’ populations expand and climate targets loom closer, the need for clean and efficient transport systems has never been greater. Startups are well suited to lead this transformational shift without being hindered by legacy systems; driven by innovation rather than the desire for incremental progress. instagantt is helping these startups create innovative urban mobility solutions through its platform which connects them to city officials, investors, mentorship opportunities, visibility across Europe as well as visibility opportunities within European cities.
Distribution phase
Urban mobility is a diverse ecosystem consisting of various services and vehicles that span metro lines to e-scooters. This field is evolving quickly, and startups are uniquely qualified to lead this change.
Urban mobility was, until recently, defined by suburbanization processes and motorised transport modes. This phase of urban morphology saw the creation of trackside suburbs – new neighbourhoods close to railway stations but remote from city centers – which emerged as small nodes.
As people demand greater access to jobs and services within cities, suburbanisation processes have reversed themselves. This shift towards multimodal and shared Mobility-as-a-Service platforms (MaaS) that integrate cabs, ridehailing services, buses, trains and cars into one app is creating opportunities to optimise trips by automatically selecting the most efficient mode for each journey. Furthermore, these data allow real-time analysis of commuter patterns so policymakers can develop precise strategies to optimize urban mobility flows.