How does the Built Environment Influence Public Transit Choice in Urban Villages in China?

Abstract

With growing traffic congestion and environmental issues, the interactions between travel behaviour and the built environment have drawn attention from researchers and policymakers to take effective measures to encourage more sustainable travel modes and to curb car trips, especially in urbanising areas where travel demand is very complicated. This paper presents how built environmental factors affect public transit choice behaviour in urban villages in China, where a large population of low-income workers are accommodated. This location had a high demand for public transit and special built environmental characteristics. Multinomial logistic regression was employed to examine both the determinants and magnitude of their influence. The results indicate that the impacts of built environments apply particularly in urban villages compared to those in formal residences. In particular, mixed land use generates an adverse effect on public transit choice, a surprising outcome which is contrary to previous common conclusions. This study contributes by addressing a special type of neighbourhood in order to narrow down the research gap in this domain. The findings help to suggest effective measures to satisfy public transit demand efficiently and also provide a new perspective for urban regeneration.

Transport Poverty in Chinese Cities: A Systematic Literature Review

“…However, one research suggested that beyond private cars, low-income people found it difficult to gain access to other transport options, whereas high-and middleincome groups had a suite of options available to them [44]. Furthermore, to save travel costs, some low-income households were less likely to choose public transport compared to high-income residents [51]. To the extent that the poor had access to private vehicles at all, these tended to be motorcycles rather than cars-especially in rural areas [52].…”

Using Unmanned Aerial Vehicle Remote Sensing and a Monitoring Information System to Enhance the Management of Unauthorized Structures

“…Next, we used a grid computing tool to subtract the pre-and postprocessed phase data [17]. The formula is as follows: Result = current-image ProjectRaste − early-image ProjectRaste (1) where current-image ProjectRaste is the post-temporal DSM model (representing the current state), and early-image ProjectRaste is the antecedent phase DSM model (representing the past state). The difference between the early-and current-phase DSM model can be displayed for the same region.…”

“…Over the past 40 years since China's reform and opening up, the pace of urban construction has dramatically increased [1]. Between 2000 and 2005 alone, the total area of China's provincial capitals increased by 90.15%.…”

Morphology of Urban Villages in China: A Case Study of Dayuan Village in Guangzhou

“…This is characterised by large-scale urban expansion and considerable urban rural migration [1]. As a result, China's informal settlements known as urban villages-villages inside urbanised areas-emerged and have become a common phenomenon, especially in the major cities such as Guangzhou, Shenzhen, Shanghai, and Beijing [2][3][4]. Urban villages are considered supplementary to the formal planning system [5] and everyday neighbourhoods that provide urban life for migrants without legal urban status [6].…”

“…Urban villages are considered supplementary to the formal planning system [5] and everyday neighbourhoods that provide urban life for migrants without legal urban status [6]. Scholars reveal this contribution from socio-economic perspectives, arguing that urban villages help integrate the migrants into urban society [3,4] by providing affordable housing and amenities [2,[7][8][9]. However, the living conditions of urban villages do not often meet the standards of official planning [10,11].…”