Urban mobility encompasses all forms of movement within cities, such as public transportation systems, car sharing networks and walking networks.
Efficient urban mobility systems can substantially enhance both competitiveness and quality of life in any city. They can reduce pollution, decrease traffic congestion, increase productivity and make cities safer and more accessible for everyone.
Modes of transport
Modes of transport are an integral component of urban mobility, and their choice plays an integral part in people’s travel choices and choices of where and what to do. Understanding mode choice can aid policymakers in developing policies to promote more environmentally-friendly transportation modes that promote accessibility for all citizens. Travel modes are determined by socio-economic and cultural influences such as access to walking/cycling paths, parking facilities, buses or trains as well as land use patterns or urban design features and transportation policies – among many other considerations.
Popular transportation modes include private cars, public transit and bikes – particularly bicycles which produce lower emissions than vehicles that emit air pollutants. Bikes have become especially popular in urban environments as a soft form of transport because they allow individuals to cover longer distances while accessing jobs without depending on cars or taxicabs for accessing jobs.
Soft mobility also includes carpooling and ridesharing services, which allow travelers to share vehicles together to reduce traffic congestion and promote sustainable transport solutions. These forms of soft mobility serve to increase sustainability.
Commutes
Commuting is an integral component of urban mobility, linking various locations within a city–from home and work–on an ongoing basis. Influenced by cultural norms – for instance work-life balance being prioritized in some cultures while others place greater importance on minimal travel time – technology has also had a dramatic impact on commuter patterns; with Ridesharing services and electric scooters helping shorten commute times dramatically while remote work allowing workers to reduce physical commuting altogether.
Commuting can exacerbate inequalities in social mobility and environmental degradation. Emissions from daily vehicle travel contribute to climate change and air pollution, negatively affecting public health – effects compounded by inadequate transportation systems serving low-income communities. To alleviate such impacts, cities must invest in sustainable public transportation systems, encourage frequent use of green modes of transport and support multi modality and micromobility initiatives.
Trip generation
Trip generation is a widely employed method for forecasting travel demand in development and land use planning. This technique relies on the concept that trips generated from any given site depend on its activity level; residential uses often generate more trips than non-residential ones, and so on. The Institute of Transportation Engineers’ Trip Generation Manual serves as one such standard tool; however, some critics contend this methodology performs poorly in urban contexts due to an inherent bias favoring auto travel over all other modes.
Regression and cross-classification models can be employed to estimate trip generation. Regression models utilize existing trip data to predict future trip volumes; they can be applied to transit, walking and auto travel modes. Cross-classification models disaggregate household characteristics data into curves that estimate trip generation rates that can then be integrated into traffic impact analysis workflows; this method may also be applicable for both single family residential uses as well as multifamily residences.
Traffic congestion
Traffic congestion is a key obstacle to urban mobility, posing significant costs to both individuals and businesses while leading to greater inequalities within society. At WRI Ross Center we’re working on this problem through research and innovation.
TomTom reports that people living in some of the world’s most congested cities spend approximately 75% longer travelling than necessary due to congestion on road networks sustaining accessibility and economic prosperity.
Traffic congestion is closely correlated with a city’s economic health. This is because it reflects job creation, income generation, car and gas purchases as well as leisure driving time spent visiting cultural or sporting events or friends across town. Furthermore, congestion imposes opportunity costs as an unproductive activity that costs time and money from drivers and passengers alike; hence reducing congestion improves regional economic health.