Open AccessInfluence of Land Use, Socio-demographic and Travel Attributes on Travel Behaviour in City of Lahore
Author(s) -
Nabeel Shakeel,
Muhammad Jahanzaib
Publication year - 2019
Publication title -
rīgas tehniskās universitātes zinātniskie raksti. 10.sērija, arhitektūra un pilsētplānošana/arhitektūra un pilsētplānošana
Language(s) - English
Resource type - Journals
eISSN - 2255-8764
pISSN - 1691-4333
DOI - 10.2478/aup-2019-0009
Subject(s) - trips architecture , multinomial logistic regression , demographics , travel behavior , land use , transport engineering , scale (ratio) , business , travel survey , mode (computer interface) , mode choice , transportation planning , geography , marketing , environmental planning , socioeconomics , public transport , computer science , economics , engineering , sociology , civil engineering , demography , cartography , machine learning , operating system
Travel behaviour exists in both culture and the surrounding environment. It is crucial to understand it because it helps the policymakers to effectively develop the urban and transportation planning policies. Large scale mobility of people by motorized transport is making our cities polluted and more congested that ultimately affects urban assets. A single paradigm, e.g. land use or socio-demographics, might not clearly demonstrate people’s preferences, it is necessary to take several paradigms in isolation. This study examined the joint influence of multiple attributes that includes land use, socio-demographic and travel information on travel behaviour and particularly preferred travel mode. A structured questionnaire was designed and interviews were conducted to obtain the data. Multinomial logit model (MNL) was applied to estimate the relationships among variables. Furthermore, spatial maps were prepared to highlight the classification of land uses. It was estimated that with the increase in income level people switched from walking to riding a vehicle and most of them prefer to ride a vehicle for longer trips. It was further investigated that people prefer to walk or ride a vehicle in residential and commercial areas. Based on the results, several planning related policies were recommended.