4 research outputs found
The impact of the congestion charge on retail: the London experience
The effect of London's congestion charge on the retail sector has aroused considerable interest since the introduction of the scheme in February 2003. We investigate the impact of the congestion charge using a variety of econometric models applied to a total retail sales index for central London (monthly) and weekly retail sales data for the John Lewis Oxford Street store within the congestion charging zone. The analysis suggests that the charge had a significant impact on sales at the John Lewis Oxford Street store over the period studied. However, it also suggests the charge did not affect overall retail sales in central London, an area larger than but encompassing the congestion charging zone
Changes in the frequency of shopping trips in response to a congestion charge
This paper presents an analysis of shopping trips into London’s central shopping district (Oxford Street area) before and after the introduction of
the congestion charging scheme in February 2003. In collaboration with a major department store, three surveys have been conducted in order to
understand the changes in shopping frequency and the reasons for so doing. The analysis is based on tabulations of the raw data, binary logit
models to analyse which customer groups have reduced their shopping frequency and ordered logit models to analyse which groups have reduced
their shopping more than others. The outcome shows that within the sample surveyed the congestion charging scheme has caused a significant
number to shop less often in central London and only a few to shop more often in the Oxford Street area. Negative experiences with the congestion
charging scheme or a generally bad perception of the scheme are the main reasons for this. Other events, such as the Central Line closure or
terrorist threats occurring at the same time also have a temporary influence on the shopping frequency in central London. Evidence from other
travel demand measures on city centre shopping activities suggest that the long-term effects of the congestion charge could be more positive
Estimating trip generation of the elderly and disabled: an analysis of London data
The aging of populations has implications for trip-making behaviour and the demand
for special transport services. The London Area Travel Survey 2001 is analysed to
establish the trip-making characteristics of elderly and disabled people. Ordinal probit
models are fitted for all trips and trips by four purposes (work, shopping, personal
business and recreational), taking daily trip frequency as the latent variable. A loglinear
model is used to analyse trip length. A distinction must be made between the
young disabled, the younger elderly and the older elderly. Retired people initially
tend to make more trips, but as they get older and disabilities intervene, trip-making
tails off. Household structure, income, car ownership, possession of a drivers license,
difficulty walking and other disabilities are found to affect trip frequency and length
to a greater or lesser extent
Mode choice of older and disabled people: a case study of shopping trips in London
This paper attempts to understand mode choice decisions among older and disabled people in London, with the objective of determining what policies can best meet their mobility and activity needs. A literature review is followed by a description of the data sets and modelling methods used in this analysis. Two assumptions are made on the marginal costs of car usage and it is shown that large investments (car, travelcards) are not amortized in the mode choice decisions made, but that marginal costs need to be appropriately specified. Age and disability interactions are shown to influence public transport use with those with disabilities preferring not to use public transport, although if healthy, older people will use buses and trams. The preference for taxis also increases with age when there is a disability. Public transport accessibility measures were also found to be associated with increased public transport use