Cycling Mobility in Slopping Cities: Trondheim and Other Lessons
نویسندگان
چکیده
منابع مشابه
Cycling intellectualization in Smart Cities
Intellectualization is the basis for managing Smart Cities. This involves infrastructure development and design of vehicles equipped with intelligent modules, which provide the control ability. Along with it, the transition to “green”, safe and sustainable modes of transport, such as bicycle, should be realized. The widespread use of environmentally friendly bicycles is constrained by a number ...
متن کاملCycling Trends and Policies in Canadian Cities
Bicycling accounted for an average of 1.2% of work trips in Canada in 2001, but with considerable variation by province and metropolitan area. In this study, we chose six Canadian cities for detailed analysis of their cycling trends and policies: Montreal and Quebec City in Quebec; Ottawa and Toronto in Ontario; and Vancouver and Victoria in British Columbia. All of these cities have made impre...
متن کاملMobility and accessibility in historic cities.
The historic cities of Brazil, despite its colonial structure, don't fail to go through transformations that affect contemporary cities, which is the main source of problems, leading to new approaches to urban issues such as mobility and accessibility. The uncontrolled growth of tourism in the historic cities can be considered as a big problem, because at the same time, they have committed to t...
متن کاملUrban Transportation and Environmental Management in Singapore: Lessons for Other Cities
To combat the environmental problems and congestion which arise from urban transportation, both end-of-pipe interventions such as traffic management and tailpipe emission control and more upstream measures such as urban and land-use planning have been implemented in many cities around the world. Singapore, in particular, has achieved rare success in managing congestion and the environment amid ...
متن کاملUniversal predictability of mobility patterns in cities.
Despite the long history of modelling human mobility, we continue to lack a highly accurate approach with low data requirements for predicting mobility patterns in cities. Here, we present a population-weighted opportunities model without any adjustable parameters to capture the underlying driving force accounting for human mobility patterns at the city scale. We use various mobility data colle...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: KnE Engineering
سال: 2020
ISSN: 2518-6841
DOI: 10.18502/keg.v5i5.6931