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EN
Identification of the variables that influence a commuter’s decision to make or embark on a trip is perhaps one of the strategic guides for initiating or adopting any transportation policy in cities. This study aims to examine the influencing factors that determine intra-urban travel in the sub-Saharan city of Enugu, Nigeria. A qualitative esearch method is adopted, and from the city's various residential areas, three research clusters were identified and selected for investigation. A survey was conducted within the six selected neighbourhoods, which include Abakpa, Gariki and Ogbete neighbourhoods (high residential density areas); New Haven & Uwani neighbourhoods (medium residential density areas); and Trans-Ekulu (low residential density area). This was arrived at using a simple random and stratified sampling technique. The data collection instrument was a structured questionnaire distributed to 400 respondents based on the Yamane model. It was discovered that apart from socioeconomic determinants that influence the travel behaviour of commuters in the study area, other factors are related to public-transit service attributes. The results of the study also indicated that there is a statistically significant relationship between the various residential areas in Enugu metropolis and the residents’ perception of the factors influencing intra-city mobility (i.e. R = .488 and P = .006 at 0.05 significance level). It is concluded and recommended that urban transportation policies, which emphasize accessibility with policies related to landue planning and the decentralization of activity within the metropolis, need to be implemented. Other modes of non-motorized transportation should be reintroduced to address the determinants of intra-city mobility such as affordable prices of transport, safety of passengers on board, environmental pollution, traffic congestion and time wastage.
EN
Urban sprawl is considered as a western urban development pattern, which is common in different cities around the world. Although, a large number of studies have focused on urban sprawl, modelling urban sprawl has been less emphasised, especially in various geographical contexts. This study aims to investigate urban sprawl and its determinants in a post-socialist country and model urban sprawl based on disaggregated data. In addition, the correlations of urban sprawl with travel patterns were examined, along with the socioeconomic characteristics of university students in Cracow, Poland by applying the Weighted Least Square (WLS) regression model. The WLS regression model was fitted based on the data from 1,288 online questionnaires targeting university students. Furthermore, urban sprawl around the home and the university for each student who indicated the nearest intersection to their home and university were separately estimated by employing the Shannon entropy. Based on the findings, urban sprawl around homes was correlated with 14 transport patterns and socioeconomic features such as gender, age, driving license, financial dependency status, gross monthly income, number of commute trips, mode of transportation for commuting, number of trips for shopping or entertainment, daily shopping area, mode choice for shopping and entertainment trips inside and outside the neighbourhoods, frequency of public transport use, the attractiveness of shops inside the neighbourhoods, and the length of time living in the current home. Additionally, urban sprawl around the university was significantly correlated with age, car ownership, number of commute trips, and a sense of belonging to neighbourhoods, entertainment place, and residential location choice. Finally, a positive correlation was reported between urban sprawl with higher income, elderly student, financial dependent students, and car dependency trips, while urban sprawl was negatively related to the use of public transit.
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