Relationship of Residential Location Choice with Commute Travels and Socioeconomics in the Small Towns of South Asia: The Case of Hafizabad, Pakistan

Masoumi, Houshmand E.; Aslam, Atif Bilal; Rana, Irfan Ahmad; Ahmad, Mumtaz; Naeem, Nida

doi:10.3390/su14063163

Cited by 5 publications

(4 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, a number of researchers have studied the urban sprawl impact on travel demand and choices in Dhaka (Nasrin et al, 2015), Chennai (Srinivasan et al, 2007a,b), Rajkot (Munshi, 2016), in all of India (Ahmad and de Oliveira, 2016), in Kathmandu (Bajracharya et al, 2020), Kabul (Kakar and Prasad, 2020), Lahore (Kamran et al, 2016;Shakeel and Jahanzaib, 2019) and Sri Lanka (Ranasinghe et al, 2015). Very few studies have evaluated the influence of people's attitudes (Javid, 2017a,b;Javid et al, 2021;Mehriar et al, 2021;Masoumi et al, 2022).…”

Section: The Determinants Of Mobility Attitudes and Mode Choicesmentioning

confidence: 99%

A systematic literature review of mobility attitudes and mode choices: MENA and South Asian cities

Chaudhry

Masoumi

Dienel

2023

Front. Sustain. Cities

Self Cite

View full text Add to dashboard Cite

Urban mobility behavior is influenced by complex interrelations of personal attitudes, neighborhood design, emerging digitalized shared mobility services, and urban governance. The transformation of urban mobility ecosystems in the Middle East and North African (MENA) and the South Asian (SA) regions lacks an in-depth comparative review to understand the determinants of mobility attitudes and mode choices. The objective of this paper is to systematically study the existing literature on cities in the MENA and SA regions to provide a comparative review of the analyses and the findings on urban mobility attitudes in light of prevailing societal conditions and urban-spatial forms. A systematic methodology was deployed to shortlist recently published journal papers from the years 2000 to 2022 for the MENA and SA regions. Application of the (shortlisting) methodology has identified 43 studies from the MENA region and 43 papers from the SA region to be most suitable for the review of comparative analysis of urban mobility behavior. The review found that travel choices in both MENA and the SA regions are impacted by the usual determinants such as demography, socio-economic characteristics, vehicle ownership, and the quality and maturity of (urban transport) spatial forms. The mobility behavior in these regions, is to some extent, can be said to be in alignment with the observed behavior across the developed western cities elsewhere in Europe and North America. The review identified that in both the MENA and the SA regions, mobility choices are also influenced by certain additional factors, such as cultural norms, adverse climatic conditions and socio-economic standings, etc. The literature indicates that ethnic and income disparities are deeply embedded in the socio-spatial arrangements of the cities in the MENA and SA regions. Future research can assess the relative influence of these factors and to determine correlations between mobility attitudes and urban forms to build better cities.

show abstract

Section: The Determinants Of Mobility Attitudes and Mode Choicesmentioning

confidence: 99%

A systematic literature review of mobility attitudes and mode choices: MENA and South Asian cities

Chaudhry

Masoumi

Dienel

2023

Front. Sustain. Cities

Self Cite

View full text Add to dashboard Cite

show abstract

“…The second influencing factor category is travel choices (home to work distance, mode choice, travel cost). Commuting distance and commuting time have been utilized in several studies (Masoumi, 2021; Masoumi et al ., 2022; Putra, 2018). However, travel time is more of an interest than travel distance since travel time shows the likely influence of congestion (Pandya and Maind, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Most of these studies center on developed economies, specifically North America and Europe (Lee and Waddell, 2010; Schirmer et al ., 2014). On the other hand, a significant number of studies have highlighted the importance of geographical context and questioned the applicability of the findings from developed economies to developing economies to formulate urban policies catering to local urban issues (Masoumi, 2021; Masoumi et al ., 2022; Nkeki and Erimona, 2018). The choice of a location is the outcome of the household's preferences and what is offered in the housing market.…”

Section: Introductionmentioning

confidence: 99%

Factors influencing residential location choice: learnings from the Indian context

Saini,

Pandit

2023

OHI

View full text Add to dashboard Cite

PurposeThe purpose of the present study is to explore the factors that influence the residential location choice of households in the Indian context.Design/methodology/approachTwo sub-urban towns of Kolkata, i.e. Biddhanagar Municipal Corporation and Rajarhat Newtown, are taken as case studies. In total, 34 variables are considered related to the household's socioeconomic background (10), dwelling (3), travel (2) and level of importance of neighborhood characteristics (19). A revealed preference household survey is conducted, which resulted in the collection of 390 samples. Firstly, 19 level of importance variables are deduced to 3 latent factors using exploratory and confirmatory factor analysis. After that, a utility function is estimated using a multinomial logit regression to identify significant factors.FindingsThe results indicate the significance of car ownership, work travel time, work mode, monthly income, proximity to work, proximity to family/relative/friends, proximity to quality schools, quality of physical infrastructure such as water availability, power availability and housing typology among others in the residential location choice of households.Research limitations/implicationsKolkata, a major metropolitan area in eastern India, has been experiencing space constraints to cater to the housing demand of the ever-increasing population. Although satellite towns are being developed, the infrastructure landscape in such towns is uneven, resulting in more housing demand in one area than another. The study furnishes significant findings to develop more informed policies to attract households in low-demand areas and manage high-demand areas to achieve sustainable planning.Originality/valueConsidering the importance of geographical context, it is the first study on residential location choice, providing a perspective of household behavior from eastern India. It also shows the importance of physical infrastructure attributes in residential location choice for developing countries, which is seldom employed in the current practice. Moreover, previous studies (although few) done in India consider the objective value of location characteristics. The present study focuses on subjective value or the level of importance perceived by respondents.

show abstract

“…Peoples' perceptions of urban environment, such as aesthetics, accessibility, and convenience, are closely related to their behavior [18,19]. Most existing studies on population settlement conducted to analyze peoples' preference to settle in an urban environment are based on questionnaire survey data [20][21][22][23]. The increase in the types of geospatial data and the development of processing technology have greatly enriched the methods that enable us to describe the characteristics of urban environment from a human perspective.…”

Section: Introductionmentioning

confidence: 99%

Contributing Factors and Trend Prediction of Urban-Settled Population Distribution Based on Human Perception Measurement: A Study on Beijing, China

Meng

Zhang

et al. 2022

Remote Sensing

View full text Add to dashboard Cite

Population migration, accompanied by urbanization, has led to an increase in the urban-settled population. However, quantitative studies on the distribution of urban-settled population, especially at fine scale, are limited. This study explored the relationship between characteristics of human perceived environment and the distribution of settled population, and proposed a quantitative method to predict the distribution trend of settled population. Through the semantic segmentation of street view images and accessibility calculation based on traffic isochrone and points-of-interest, we determined human perception factors. The influence of human perception factors was quantified using the geographic detector method, and the settlement intention index (SII) was constructed combining the analytic hierarchy process to predict the distribution trend of settled population. The results indicated the following. (1) Human perception was one of the important factors influencing the distribution of urban-settled population, and the cycling accessibility to traffic facilities was closely related to the distribution of settled population. (2) The accessibility and visibility of green space with low independent influence portrayed a strong enhancement on the interactive effect of other perception factors. (3) The SII mapping of Beijing showed that the SII was reliable. This study analyzes the role of human perception in shaping the environment, and provides reference for population-related urban planning problems.

show abstract

Relationship of Residential Location Choice with Commute Travels and Socioeconomics in the Small Towns of South Asia: The Case of Hafizabad, Pakistan

Cited by 5 publications

References 54 publications

A systematic literature review of mobility attitudes and mode choices: MENA and South Asian cities

A systematic literature review of mobility attitudes and mode choices: MENA and South Asian cities

Factors influencing residential location choice: learnings from the Indian context

Contributing Factors and Trend Prediction of Urban-Settled Population Distribution Based on Human Perception Measurement: A Study on Beijing, China

Contact Info

Product

Resources

About