Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many modern and growing cities are facing declines in public transport usage, with few e cient methods to explain why. In this article,  show that urban mobility patterns and transport mode choices can be derived from cellphone call detail records coupled with public transport data recorded from smart cards. Specifically,  present new data mining approaches to determine the spatial and temporal variability of public and private transportation usage and transport mode preferences across Singapore. Our results, which re validated by Singapore’s quadriennial Household Interview Travel Survey (HITS), revealed that there are 3.5 (HITS: 3.5 million) million and 4.3 (HITS: 4.4 million) million inter-district passengers by public and private transport, respectively. Along with classifying which transportation connections are ak or underserved, the analysis shows that the mode share of public transport use increases from 38 % in the morning to 44 % around mid-day and 52 % in the evening.
['Thomas Holleczek', 'Liang Yu', 'Joseph Kang Lee', 'Oliver Senn', 'Kristian Kloeckl', 'Carlo Ratti', 'Patrick Jaillet']
I am writing a research paper on a idea Digital breadcrumbs: Detecting urban mobility patterns and transport mode choices from cellphone networks
[{"from": "human", "value": "I am writing a research paper on a idea Digital breadcrumbs: Detecting urban mobility patterns and transport mode choices from cellphone networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many modern and growing cities are facing declines in public transport usage, with few e cient methods to explain why. In this article,  show that urban mobility patterns and transport mode choices can be derived from cellphone call detail records coupled with public transport data recorded from smart cards. Specifically,  present new data mining approaches to determine the spatial and temporal variability of public and private transportation usage and transport mode preferences across Singapore. Our results, which re validated by Singapore\u2019s quadriennial Household Interview Travel Survey (HITS), revealed that there are 3.5 (HITS: 3.5 million) million and 4.3 (HITS: 4.4 million) million inter-district passengers by public and private transport, respectively. Along with classifying which transportation connections are ak or underserved, the analysis shows that the mode share of public transport use increases from 38 % in the morning to 44 % around mid-day and 52 % in the evening."}]