The Commuters Collection

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When it comes to why riders choose electric scooters over other modes of transportation, the results are split between efficiency and enjoyment. The global survey results come on the heels of similar reports released this summer in cities like Chicago , Minneapolis and Warsaw , where micromobility has been tied to increases in mobility access and reductions in car use. To stay up to speed on the latest data and information in the field of micromobility, subscribe to 2nd Street , or download the Lime app to take an e-scooter ride around your city today.

As far as occupation is concerned, the type of work influences the use of and need for a car.

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Commercial functions, for instance, imply many trips during the day, making the use of a car necessary for the job. In Brussels, however, a significant number of jobs are created by public authorities and administrations which are often located near public transport stops, making the use of the car less essential. These choices influence the development of skills concerning the different travel modes. For instance, when deciding on the residential location, the commuting mode choice is one of the factors taken into account.

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  5. The car is usually seen as quite positive, and a dependence on the car therefore seems to arise. Such car dependency is not easily reversed. What are the obstacles that need to be overcome in order to make public transport more attractive? What are the advantages of public transport according to the commuters and how can they be exploited?

    The survey was tested on a pilot sample of members from the target population: people living outside Brussels who commute to the region on a regular basis to go to work. It is important to mention, however, that it was not a goal to be representative with respect to the travel mode. Attention is paid to two major groups: car users and train users, the latter possibly in combination with other transport modes.

    Within each of these two groups a representative sample was taken. These surveys were part of an assignment for their market research course. The students were instructed to use reference proportions of gender and age corresponding to the proportions of the commuting population as guidelines, but they were free to decide where they searched for respondents. Consequently, it can be expected that some of them were posted at a train station and others questioned people they encountered near their residential location, for the most part situated in Flanders.

    As such, the sample is rather regionally selected. The analysis grid provided by Kaufmann was used to categorise the factors being analysed. The aim was to identify the variables which influence the modal choice made by commuters.

    As mentioned before, this study focused on two main groups: car and train users, thus ignoring the very small group of other transport mode commuters. Table 1. In this case, the model is formulated such that the probability of using the train for commuting is contrasted with the probability of using the car. As binomial logistic regressions can only be applied to numerical or categorical independent variables, this statistical analysis could only be used on the factors categorised under access and skills.

    The Symbolic, Practical and Sometimes Painful History of the Commuter Bag

    As for the appropriation factors, the analysis is rather descriptive. Initially, the model contained the following variables: company car availability, home-work distance and income as access factors, and professional status, educational level and age as skills factors. In addition, two interaction terms were also included to control for potential relations between income on the one hand, and age and education on the other hand.

    Table 2. Logistic regression parameters for access factors. For instance, with regard to car availability, both variables number of cars in the household and company car ownership have negative B coefficients, indicating that car availability reduces the odds of commuting by train.

    Car ownership is related to income but is also determined by the number of adults in the household: when adult children are still living at home, this creates a situation with multiple drivers and earners in the household. This not only results in a rise in the household income, but it also increases the need for additional cars.

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    The more cars available in the household, the more likely it is that the respondent will commute by car. The analysis shows that each additional car in the household decreases the odds of using the train as a commuting mode. Having a company car influences the commuting mode choice in favour of the car. Compared to people without a company car, the odds of using the train decrease for company car owners. Beyond this distance, the train becomes more competitive because of its characteristic of being more cost-effective for longer distances.

    Car ownership as well as car use are more sensitive to car purchase costs than to the variable costs of car use, such as fuel prices. However, the analyses in this research do not identify income as one of the predictors for the commuting mode choice. This may result from the fact that in most cases it is not the employee, but the employer who pays part of the costs related to commuting.

    When the company provides company cars or a financial reimbursement, the employees are stimulated to use their car for commuting. When the company pursues a policy encouraging public transport, employees are more likely to commute by public transport. It was also verified whether education and age interact with net income by adding two interaction terms controlling for these potential relations. Table 3. Civil servants are more likely to commute by train compared to the other types of profession.

    The results show that commuters who belong to the group of respondents with a low educational level are more likely to use the train than those with a high educational level. Higher educated people in general have higher income levels and consequently also higher car ownership levels, which explains why they are more likely to use the car for their commuting trips. Although an interaction term was included to control for the interaction between education and income, it was not retained in the final model as it did not contribute significantly to improving the model SIG.

    Compared to the youngest group, the respondents in the other categories are less likely to commute by train.

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    This can be explained by the fact that many young people do not posses their own car immediately and by the differences in household income over the lifecycle. The average commute in the UK now stands at 54 minutes, with two thirds of Londoners finding their minute journey on public transport the most stressful part of their day [i]. The thriving social scene of bars, restaurants and retail stores of Canary Wharf are a short distance away, and can be reached in nine minutes by bike via Cycle Superhighway 1, or a minute walk.

    Residents also have around-the-clock access to a concierge service, and a private fitness suite, with a selection of state-of-the art equipment. A landscaped piazza along with a courtyard garden provide the perfect place to relax, reflect and benefit from the outdoors whilst still being close to home. Liberty at Crossharbour is very well-located, buyers actually have a choice about how they get to work — something not often associated with a location that is so close to the capital. The collection of Shared Ownership homes is set across seven floors within the striking storey Liberty Building, and have been meticulously designed with luxury living in mind.

    Generous open plan living and dining areas provide a great space for relaxing and entertaining.